Science topics: Methodology
Science method

Methodology - Science method

Methodology are emergent methodologies in soft and hard sciences
Questions related to Methodology
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The above questions are necessary when it comes to modelling description under the methodology section.
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I think that Chakit Arora provides a good way of defining those three terms. However, I would caution against assuming that those definitions are applied consistently across different fields of study.
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Hello dear researchers,
I need the right and best methodology to write a narrative review.
Thank you!
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Maybe you have already found this article:
If not, I would recomment to read it
What I would at least advice you (having written integrative and semi-structured reviews) is to really document the steps you take in your analysis, the data you have used and to be as transparent about this as possible. Maybe it can even help you to read a bit about principles of doing interpretive research and think for yourself how these apply to your work.
Good luck!
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Greetings everyone.
During my master's research, I focused on exploring the potential of a specific bacterial strain to produce antibacterial compounds. To achieve this, I used the technique of liquid-liquid fractionation (Extraction) using butanol for the bacterial culture broth. Then, I subjected the supernatant to freeze-drying and further dissolved a portion of the butanol crude extract in methanol for analysis using GC-MS. The results revealed the presence of two secondary metabolite compounds, notably beta-carboline and cyclo-l-proline-l-leucine.
I investigated the genes and enzymes of the bacteria, and it appears that the genes and enzymes that synthesize beta-carboline and related compounds were not present in the bacteria. I have the genomic sequence date of the bacteria. I have searched the genome database to identify any genes or enzymes associated with the production of beta-carboline. Unfortunately, no such gene or enzyme seems to be directly related to the synthesis of beta-carboline in this bacterium. Also, my investigations regarding the McbB enzyme (which is an enzyme that works for the production of beta-carboline) have unfortunately provided no evidence of its presence in my bacterial strain.
So my question Is there an alternative methodology or approach by which I could clarify the mechanisms used by this bacterial strain to produce these compounds? For instance, the synthesis of beta-carboline usually involves the enzymatic action of tryptophan decarboxylase, which catalyzes the conversion of tryptophan to tryptamine. However, my bacterial strain seemingly lacks this specific enzyme. I am hoping that if any practical strategies or methodologies exist, I will try them as a first step to finding some answers for the synthetic pathway.
I sincerely appreciate any insights or directions you can provide.
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I guess your doubt is related to Intra-Cellular metabolites (I guess you have chosen secondary metabolite compounds instead). You can have a look at my recent publication, which was published in RSC Molecular Omics recently. It may drive you to some extent in your research focus.
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Dear community,
I want to ask you a methodological/statistical question.
We performed ten independent hierarchical linear regressions divided by gender for an article writing (N=1502 participants, 39.9% men and 60.1% women). Could Type I error significantly arise through ten independent hierarchical linear regressions? Or do we have enough statistical power for each subgroup to guarantee that we have enough statistical power? I would also appreciate references that can help us make clear this matter.
Thank you so much!
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Don't worry about whether there is Type 1 error, but simply make an adjustment to minimise it, such as doing what Hsin-Yuan Chen said :)
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Hi all,
My question is that,
Performing the analysis with the same data, with two different methodologies but still getting statistically insignificant results. Is it okay? If yes, how can this be justified.
Thank you!
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"N" is a short-cut way to say "sample size."
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August 25th, 2023
Those methodologies, we have to assume that are not the better ones, are being used to claim humans are 'making progresses' with regards the 2030 SDGs agenda.
As the ongoing human-sparked climate crisis and the huge Earth's ecology breakdowns seem unstoppable, scientists must ask what are the methodologies that are being used by other scientists to support those claims.
A generalized optimism keep asking time we (humans) do not have to fulfill those goals.
The 21st century science will be all about try to avoid a major planetary disruption sparked by just the biology-based dominant species.
We need metrics to avoid groundless discourses. That task will imply to create a system of systems regarding Earth observation in all scales.
It is relevant to say that the problem is not suitable for a technological perspective only... The problems we are facing are behavioral in nature.
Hernan L. Villagran
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The United Nations Sustainable Development Goals (SDGs) are targets for global development that were adopted in 2015. All countries have agreed to work towards achieving them by 2030.
Our SDG Tracker presents data across all available indicators from the Our World in Data database, using official statistics from the UN and other international organizations. This free, open-access information tracks global progress towards the SDGs and allows people worldwide to hold their governments accountable for achieving the agreed goals.
Data is available for many indicators, but there are still gaps...
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According to the journal cited below, methodology should be investigated whenever zone diameters are consistently not within the mean range because there might be an error. Control charts such as Shewhart Diagram, and Westgard rules were mentioned to be helpful in interpreting changes and monitoring the performance, aside from those two, what are the other useful methods that we can utilize to assess the zone diameter issues?
King, A., & Brown, D. F. J. (2001). Quality assurance of antimicrobial susceptibility testing by disc diffusion. Journal of Antimicrobial Chemotherapy, 48(suppl_1), 71–76. https://doi.org/10.1093/jac/48.suppl_1.71
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An important question, I am waiting for the answer, too...
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I am doing some research in terms of Integrated Management Systems. And this topic is relevant in the research.
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Thanks you very much for your answer!! Best regards,
Vivian
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I am seeking papers elucidating the methodologies employed in addressing the intricacies inherent in the multi-index transportation problem and the multi-stage transportation problem. My objective is to compile a selection of papers that expound upon these techniques straightforwardly and methodically. This compilation aims to nominate them to benefit a fledgling researcher venturing into this domain. I am open to receiving recommendations that align with the above criteria, enhancing the material I intend to present to the aspiring researcher. Your valuable suggestions in this regard would be greatly appreciated.
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Which sequence should be ideal to follow.
1. Research gap
2. Research question
3. Research objectives
4. Research methodology
or
1. Research question
2. Research methodology
Secondly in which sections of the paper (introduction or Literature review) the above should be placed. I find some people place in introduction while others put in the end of literature review section.
Looking for expert advice.
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Thanks Prof Gaurav Tandon for clarification.
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I am in the process of finalizing my individual grant proposal.
I really need your recommendation and your suggestions.
I have a question regarding my research, which will include interviews with experts and scientists. To ensure methodological reliability, I need at least two intercoders to participate in data analysis.
Could you advise how I can include these people in the project as intercoders?
Could these be the scientists who signed the LoI to collaborate on the project?
What is the correct way to describe this thing?
I will be grateful to you for any recommendations and advice.
Best regards,
Sabina
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Whether or not you calculate inter-coder reliability depends on the kind of analysis that you are doing. This approach words best with content analytic coding where you have a detailed, pre-determined codebook. It is less effective with more inductive, meaning oriented coding. In particular, Brown and Clarke argue quite vigorously against using it with their version of Thematic Analysis (Reflexive Thematic Analysis).
As for who the coders might be, the most common choice is to train graduate students to do this work. A frequent format is to compare your own coding to that of a research assistant.
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DOES THE WORLD HAVE A CLEARLY HOLISTIC FUTURE IN SCIENCE, SOCIETY, POLITICS AND PHILOSOPHY?
The world is used to thinking in terms of emotions and thoughts. But the stark difference between acts of emotion and acts of thought at the theoretical and practical levels can be bridged. The reason suggested is the following.
EVEN IF THERE IS NO ABSOLUTE CONTINUITY AND CONNECTION BETWEEN EACH ACT OF THOUGHT AND EACH ACT OF EMOTION, THERE EXISTS PARTIAL CONTINUITY BETWEEN ANY FINITE NUMBER OF SUCH PROCESSES, AND HENCE, ALL OF THEM ARE SOMEHOW CONNECTED. THIS CONNECTION IS CAUSAL, AND NOT MERELY MATHEMATICAL OR QUANTUM-PHYSICAL.
As a result, even esthetic acts can be connected to the acts of thinking in the sciences, philosophy, literature, music, etc., both theoretically and practically. Neuroscience too can profit out of this paradigm change.
Further, when emotions, imaginations, reasonings, etc. are brought under the ambit of acts of logical reasoning, what would change in the theoretical acts of logical conclusions in the sciences, philosophy, literature, and other disciplines?
Naturally, also the character of the persons who are supposed to express thoughts, emotions, etc. in various ways for the good of humankind will take precedence. This is what value epistemology insists on.
As a result, the personalities behind and within the sciences, philosophy, literature, music, other performing arts, and also in the fields of teaching and other services, will be influenced and transformed substantially.
DOES THE WORLD HAVE SUCH A FUTURE? IF IT HAS, IT IS BETTER TO PRECIPITATE SUCH A FUTURE.
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THE PLANCK ERA / QUANTUM ERA and “DISAPPEARANCE” OF PHYSICAL CAUSALITY: “OMNIPOTENCE” OF MATHEMATICS
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I am conducting my MSc in Organisational Psychology and my thesis is centred on how managers support their teams various needs (across both short- and long-term and with regard to wellbeing or performance).
In my analysis, I am observing codes which differ in the managers style when meeting their teams short term needs compared with their long term needs as the managers talk differently / use different language to explain their actions.
Would this be an example of discursive analysis, and if so, is it then inappropriate to refer to if using a IPA methodology?
Many thanks in advance!
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Thank you Antonio, very helpful.
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I am developing a research model because I have identified a dearth of frameworks and models in a specific area. The examiners have requested that I include in the problem statement the absence of guidelines in that specific area. Are there differences between the terms 'guideline,' 'model,' and 'framework' in the context of research, particularly when referring to methodologies and approaches?
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From the viewpoint of scientific methodology Israa Najeeb Zaidan we can state a hierarchy of your mentioned concepts, with respect to the scope of the research context.
Practically speaking, in science we do create models of reality, which should match or reach reality as close as possible. The framework leads to the model, while the guidelines serve as instructions to understand the framework.
This hierarchy of research communication can be read top-down or bottom-up as a circuit with feedbacks to improve the model.
_________
The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is correctly to describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain esthetic criteria - that is, in relation to how much it describes, it must be rather simple.
John von Neumann
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Hii !! Every one it would be great if you can suggest me links or can let me know about reflective methodology and thematic analysis in research ?
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I agree with David L Morgan to a certain extent. 'Reflective methodology' is rare or only used in a specific context. Rashika Shukla, it would be helpful if you could provide a reference for this notion.
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The materials science dissertation did not conduct experimental studies. What is the name and how to search on the Internet for this type of dissertation, in which, for example, they simply applied some method or developed some approach, but did not directly experiment, for example, to change the structure, did not create any materials, substances and etc. among the sciences where it is usually required to do this (materials science, chemistry)? Give examples of such dissertations. Thank you!
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In the field of materials science or chemistry, dissertations that focus on theoretical or computational approaches rather than experimental studies are often referred to as "computational", "theoretical", or "simulation-based" dissertations. These types of dissertations primarily rely on modeling, simulation, data analysis, and computational methods to investigate and understand materials properties, phenomena, or processes.
To search for such dissertations on the internet, you can try the following approaches:
  1. University repositories: Many universities have online repositories where they store and provide access to their students' dissertations. Visit the websites of universities known for their materials science or chemistry programs and search their repositories using keywords like "computational materials science dissertation" or "theoretical chemistry dissertation".
  2. Academic search engines: Utilize academic search engines like Google Scholar, Scopus, or ResearchGate to search for dissertations related to computational or theoretical approaches in materials science or chemistry. Use relevant keywords and filters to narrow down your search results.
  3. Scientific journals and conference proceedings: Explore scientific journals and conference proceedings in the field of materials science or chemistry. Look for articles or papers that present theoretical or computational studies and check if they mention a corresponding dissertation. Often, authors include a reference to their dissertation in the paper's acknowledgments or author information.
  4. Collaborative research platforms: Platforms like Materials Project (materialsproject.org), which you mentioned earlier, host research articles and dissertations centered around computational materials science. Check their resources or publications sections to find dissertations or theses that align with your interests.
  5. Professional societies and associations: Visit the websites of materials science or chemistry professional societies and associations. They may provide access to published dissertations or maintain databases of member dissertations that cover various topics, including computational or theoretical approaches.
Remember that the availability of full dissertations may vary depending on the institution's policies and the author's preferences. In some cases, you may find abstracts or summaries that provide an overview of the dissertation's topic, methodology, and findings.
Here are a few examples of dissertations that focus on computational or theoretical approaches in materials science or chemistry:
  • "Computational Study of [specific topic] in Materials Science" (Author's Name, University)
  • "Theoretical Investigation of [specific phenomenon] in [material/system]" (Author's Name, University)
  • "Development and Application of [specific method/model] in Materials Science" (Author's Name, University)
Remember to replace [specific topic], [specific phenomenon], [material/system], [specific method/model], and (Author's Name, University) with relevant keywords and actual names.
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Methodology of developing language reflection of philology students - this is the theme of my dissertation work. So now I have been writing the last chapters. I need some information about new methods on how to reflect the students linguistic peculiarities.
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Dear Assel,
which methods on reflection have you used so far? What language peculiarities do you have in mind?
Kind regards,
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Hello,
Greetings. I would like to measure the recovery percentage of the organic pollutants by spiking the samples with certain working standard concentrations. My samples were air dried and homogenized prior to extraction for GC. How do I spike the sediment samples? Should I directly add standard solution in the dried sediments and then follow the extraction procedure? Or by adding water with the dried sediments along with standard solution and let it air dried before following the extraction procedure?
Thanks for your time and consideration. I am looking forward to your insightful answers.
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You also need to consider whether the compounds are likely to chemically or biologically degrade between spiking and extraction
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Greetings,
Hello everyone, I designed a boat hull in Catia V5. I want to define ply sequence and direction for that structure. I did lots of research but I couldn't find the appropriate solution for defining the fiber direction for that part.
Is there any particular methodology to define the ply sequence and direction for a give composite part to achieve desired mechanical properties.
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This refers to the way individual fibers are arranged to facilitate optimal structural arrangement in a fiber-reinforced polymer composite.
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Seeking insights into the forefront of agricultural extension research, this question aims to explore the novel methodologies that have recently emerged in the field.
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Participatory Approach:
For the fact that indigenous people so much believe on their local knowledge or traditional knowledge which for decades have been enabling them make ends living, Agricultural Extension it self can't make progress except both farmers and researchers work together for a common goal, that's the emerging method that can be used to achieve a set goal.
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Hello!
I am validating an adapted tool which suposly has 4 factors. The EFA agrees with it, but the CFA show bad fit indices (to make it work I need to free 3 items). Why is this happening? is it correct to fere this much items (scale has 14 items).
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Hi,
Are you using same sample for EFA and CFA?
Regards,
Dr Uday Bhale
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My article focuses on the changes in Land surface temperature, vegetation, and waterbodies over a long time in an area by using Landsat and Modis data with a new methodology.
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#Remote Sensing of Environment (Recommended) (link: https://www.sciencedirect.com/journal/remote-sensing-of-environment)
#Journal of Remote Sensing (in partnership with science) (link: https://spj.science.org/journal/remotesensing)
Access the link and find out if there is any other: https://www.gisvacancy.com/remote-sensing-journals/
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Dear community,
I am planning on conducting experiments for which I need to obtain a plasma-free platelet suspension from an aliquote of a platelet concentrate. Do you now any methodology/protocol that allows for washing without extensive cell activation? I need the cells to be a "functional" as possible.
Yours sincerely,
Michael
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Platelet washing is very much needed not only for research purposes but also for preventing some transfusional reactions like anaphylaxis, fever etc. Human platelet-rich plasma(PRP) prepared from blood collected in tri-sodium citrate might face its aggregation owing to lower ionic calcium concentration. To get rid of this, isolation and washing of platelet is done with acid-citrate-dextrose solution and the washed platelet cells are suspended in a buffer solution containing 2mM calcium ion solution.
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i want to deduce the right methodology to understand reform impact on compliance behaviors and tax collection.
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Dear Abdul Rahim, if I understand, you want to measure the impact of reforms on either behavior and/or revenue impact.
If that is the case, I think the final target of the reform should be measured against the counterfactual. For instance, if the reform was on VAT, say e-invoicing in the whole tax system, I think the simplest method would be to gather total VAT payments maybe a year (depending on when you want to measure) and then compare with VAT payment before the reform, to check % increase.
Same with behaviour, for EG, how many people used to file returns before the last date on average, and how many used to default, after the reform was introduced. With such available data, i think it is easier to measure the impact of such reform on overall compliance. You can also plot on a timeline graph for better visualisation. Hope this helps.
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Hi, all
First of all, thank you so much for reading my question.
I am writing a manuscript, scoping review paper that includes quantitative, qualitative, and mixed method articles.
As methodological limitations, I have to describe drawbacks and solutions due to reviewing qualitative, mixed, and quantitative studies in one study.
In other words, I want to address the limitation and advantages of collecting and reviewing papers based on various research methods.
I need experienced researchers' precious opinions and thoughts.
Thank you so much for your comments in advance.
Jung
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When reviewing qualitative, quantitative, and mixed method studies in one study, methodological limitations can include differences in data collection methods, differences in data analysis methods, and differences in the quality of the studies.
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I need a methodological way to analyse an thesis or aticle
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Critically analyzing a literature review in a thesis or article involves carefully examining and evaluating the information presented to assess its quality, relevance, and credibility.
Here are some steps and considerations to help you conduct a thorough critical analysis:
  1. Understand the Research Objective: Begin by understanding the research objective or main question that the literature review aims to address. This will provide you with context and help you evaluate whether the review is relevant to the research topic.
  2. Evaluate the Literature Search Process: Check whether the literature review includes a comprehensive and well-documented search strategy. A good literature review should cover a broad range of relevant sources and should not be limited to a few select papers.
  3. Assess Source Credibility: Evaluate the credibility of the sources cited in the literature review. Look for peer-reviewed journal articles, reputable books, and reports from reliable organizations. Assess the authority and expertise of the authors and the publication venue.
  4. Check for Currency: Consider the publication dates of the sources cited. A strong literature review should include recent research to ensure the information is up-to-date.
  5. Examine the Scope of Coverage: Determine whether the literature review covers a wide range of perspectives and relevant studies. It should not be biased towards supporting a specific argument or viewpoint.
  6. Identify Gaps in the Literature: Look for gaps in the literature that the review may have missed. A good literature review should identify areas where further research is needed or highlight contradictions and debates in the existing literature.
  7. Analyze the Organization and Structure: Consider how the literature review is organized. Is the information presented in a logical and coherent manner? Does it provide a clear overview of the research area and the progression of ideas?
  8. Evaluate the Quality of Analysis: Assess the depth and critical analysis of the sources included in the review. Does the author synthesize and critique the literature, or is it merely a summary of previous studies?
  9. Identify Biases or Limitations: Look for potential biases or limitations in the literature review. Consider whether the author acknowledges and addresses these limitations.
  10. Consider the Overall Contribution: Assess the contribution of the literature review to the research or field. Does it provide valuable insights, connections, or frameworks for understanding the topic?
  11. Check for Proper Citations and References: Ensure that the literature review provides accurate and complete citations for all sources. Cross-reference the citations with the reference list to confirm their accuracy.
  12. Look for Consistency with the Thesis or Article: Verify whether the literature review aligns with the overall theme and arguments presented in the thesis or article. It should support and contribute to the main research objectives.
By following these steps and considering these factors, you can critically analyze a literature review to determine its strengths, weaknesses, and overall value to the research or academic work. Remember to approach the analysis with an open mind and avoid any personal biases or preconceived notions about the topic.
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Let's discuss about whether you will prefer this methodology while writing a research paper or choose to modify/include/exclude any section or subsection from this methodology below.
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It's an integral part of research which set of methods an individual has adapted to go for grounded theory means no methods but try some experiments to discover some things. Somehow, it good to stick on method to understand the boundaries of research.
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My Awesomest Network, I have a methodological question. Should a scope of Ph.D. dissertaiton be maximally broad and wside in mentioned field of subject or rather be focused on deepening of very precise and tight problrems in detailed field?
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I believe it should be focused as this will bring a solution to the research problem
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The QCA (qualitative comparative analysis)method is a very popular qualitative research method. Now we are going to do a case study on a company and we can use 8 of its projects as sub-cases.
Question: Is the QCA methodology applicable to a single case study of this company?
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Dear Frank,
as long as you have at least two cases that differ on at least one exogenous variable and one endogenous variable, you can use QCA (Thiem 2014, 2022). As long as you have this minimal degree of variation on your 8 cases, you should be fine.
Best wishes
Alrik
References
Thiem, Alrik. 2014. "Navigating the Complexities of Qualitative Comparative Analysis: Case Numbers, Necessity Relations, and Model Ambiguities." Evaluation Review 38 (6):487-513.
Thiem, Alrik. 2022. "Qualitative Comparative Analysis (QCA)." In Handbook of Research Methods in International Relations, ed. R. J. Huddleston, T. Jamieson and P. James. Cheltenham: Edward Elgar. Open access at:
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Influence of political parties in tertiary, Using University of Ghana as a case study as research proposal with it methodology.
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I am sorry, but I do not have a clue what you are asking for.
Tertiary what?
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I have discovered a unique protein expressed in various tissues, yet its function remains unknown. To gain insight into its role, I seek your expertise in the latest techniques and verified methodologies in biological sciences. Please contribute your knowledge and perspectives to this thread on how to find a function of a gene.
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sabine's answer is pretty good, before going on bench a little work on database is required. you can blast your sequence in NCBI (https://blast.ncbi.nlm.nih.gov/Blast.cgi) and see relevant results to go further.
all the best
fred
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The contents in the area of methodologies and literature review
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La propuesta de investigación trata de lo que se quiere lograr al finalizar la investigación. La investigación científica siempre se basa en las reflexiones teóricas, los conceptos y los modelos. los tes están vinculados entre sí. La nota o la descripción de los conceptos/las teorías/los modelos se analizan críticamente para crear un concepto/modelo/teoría propios o confirmar los existentes. Luego se aplican a la práctica, pero esto es otro asunto.
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Compliance costs are involved in the estimation of the marketing aspects of cattle milk.
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Here are some links
Calculating the compliance costs of cattle milk involves considering various factors related to regulatory requirements, production practices, and monitoring processes. Here's a step-by-step approach to help you calculate compliance costs for cattle milk:
  1. Identify applicable regulations: Start by determining the specific regulations that apply to cattle milk production in your region. These may include food safety regulations, quality standards, animal welfare requirements, environmental regulations, and labeling regulations, among others.
  2. Determine compliance activities: Understand the activities and measures necessary to meet the regulatory requirements. This could involve aspects such as testing, monitoring, record-keeping, staff training, infrastructure improvements, and implementing good agricultural practices (GAP) or good manufacturing practices (GMP).
  3. Assess resource requirements: Determine the resources needed for compliance activities. This includes labor, equipment, testing facilities, packaging materials, specialized training, and any additional costs associated with meeting the regulatory standards. Consider both initial investments and ongoing operational expenses.
  4. Estimate direct costs: Calculate the direct costs associated with compliance activities. This involves quantifying the expenses for resources identified in the previous step. For example, determine the cost of labor hours spent on compliance tasks, expenses for regular testing of milk samples, or investments in equipment upgrades.
  5. Consider indirect costs: Indirect costs may include expenses indirectly related to compliance but necessary for maintaining the required standards. This could involve costs related to documentation, quality control procedures, regulatory audits, and potential fines or penalties for non-compliance.
  6. Factor in opportunity costs: Compliance activities may require redirecting resources and efforts from other potential activities. Consider the opportunity costs associated with allocating resources specifically for compliance instead of other productive or growth-oriented activities.
  7. Calculate total compliance costs: Sum up the direct costs, indirect costs, and opportunity costs to determine the total compliance costs of cattle milk production. This will provide an estimate of the financial impact of meeting the regulatory requirements.
  8. Regularly review and update: Compliance costs may change over time due to evolving regulations or changes in production practices. It is important to regularly review and update your calculations to ensure accuracy and adapt to any new requirements.
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Highlighting the different methodologies and data requirements involved.
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Crop Monitoring Technologies:
Remote Sensing: Remote sensing technologies, such as satellite imagery and aerial drones, are commonly used for crop monitoring. These technologies capture data from above the Earth's surface and provide valuable information about crop health, growth patterns, and stress factors. They can assess various parameters, including vegetation indices (e.g., NDVI), chlorophyll content, and temperature.
Data Requirements: Remote sensing technologies require access to high-resolution satellite imagery or the deployment of aerial drones equipped with multispectral or hyperspectral sensors. These sensors capture data across different wavelengths, which is then processed to extract relevant information about crop conditions.
Internet of Things (IoT): IoT-based sensors and devices can be deployed in the field to monitor crop parameters such as soil moisture, temperature, humidity, and nutrient levels. These devices collect real-time data, which is transmitted wirelessly to a central system for analysis and decision-making.
Data Requirements: IoT-based crop monitoring requires the installation of sensors and devices in the field. The data collected by these devices needs to be transmitted to a centralized system for processing and analysis.
Unmanned Aerial Vehicles (UAVs): UAVs, also known as drones, are increasingly used for crop monitoring. Equipped with specialized cameras and sensors, UAVs can capture high-resolution imagery and collect data on various crop parameters. They offer flexibility and cost-effectiveness compared to traditional remote sensing methods.
Data Requirements: UAV-based crop monitoring requires the deployment of drones equipped with suitable sensors. The data collected by the sensors, including imagery and sensor readings, needs to be processed and analyzed to extract relevant crop information.
Soil Mapping Technologies:
Electromagnetic Induction (EMI): EMI technology measures the electrical conductivity of the soil, which provides information about its texture, moisture content, and salinity. EMI devices consist of an emitter and receiver, which measure the soil's response to electrical currents.
Data Requirements: EMI devices require physical contact with the soil to measure its electrical conductivity. The collected data needs to be processed and interpreted to generate soil maps and related information.
Ground Penetrating Radar (GPR): GPR uses radar pulses to penetrate the soil and measure its composition, depth, and moisture content. It provides detailed information about soil layers, compaction, and root zone characteristics.
Data Requirements: GPR systems need to be physically in contact with the soil to emit and receive radar pulses. The collected data requires processing and interpretation to create soil maps and relevant data.
Soil Sampling and Laboratory Analysis: Traditional soil sampling involves collecting soil samples from various locations and analyzing them in a laboratory. Laboratory analysis provides detailed information about soil composition, fertility, pH levels, and nutrient content.
Data Requirements: Soil sampling involves collecting physical samples from the field, which are then sent to a laboratory for analysis. The laboratory generates reports containing soil characteristics and maps based on the analyzed data.
Each of these technologies and methodologies provides valuable insights for crop monitoring and soil mapping, helping farmers make informed decisions regarding irrigation, fertilization, and overall crop management.
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I know spectrophotometer can be used for this work.Want to know about specific methodology.
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To measure Dissolved Organic Carbon (DOC) in saltwater, a commonly used and widely accepted methodology is the high-temperature combustion method using a Total Organic Carbon (TOC) analyzer. This method involves the following steps:
  1. Sample Collection: Collect representative saltwater samples using clean containers that are free from any contaminants. Ensure that the containers are thoroughly rinsed with the same type of water that will be sampled to avoid any cross-contamination.
  2. Sample Filtration: Pass the saltwater samples through a 0.45 μm or smaller filter to remove any particulate matter. This step is necessary to measure only the dissolved organic carbon.
  3. Sample Preservation: Add a small amount of an acid solution (typically phosphoric acid) to preserve the samples. The acidification helps to stabilize the dissolved organic carbon and prevent any changes during storage.
  4. TOC Analysis: Transfer the preserved saltwater samples into pre-cleaned vials suitable for the TOC analyzer. The TOC analyzer will then inject a small volume of the sample into a combustion chamber where the organic carbon is oxidized at high temperatures. The resulting carbon dioxide is then quantified using a detector, and the concentration of dissolved organic carbon in the sample is determined.
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Hi all, I have finished a methodological review protocol that we think should be published, because it proposes several new definitions for evidence synthesis. I was thinking in submitting it to BMJ Open, but I have no funding at the moment to pay for an Open Access journal. Do you know any non-open access journal where I could publish my protocol?
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Hi Javier, PLOS One is a great option!
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Paradigm shifts in social research refer to significant changes in the underlying frameworks, assumptions, and methodologies that guide the study of social phenomena. These shifts often occur when existing paradigms fail to adequately explain or account for new empirical findings or when alternative theoretical perspectives gain prominence. Paradigm shifts have profound implications for knowledge production and research practices, impacting the way researchers conceptualize, study, and interpret social phenomena.
One of the key implications of paradigm shifts is the reevaluation of existing knowledge and the creation of new knowledge. When a paradigm shift occurs, it challenges the established theories, concepts, and methodologies within a particular field. Researchers are compelled to critically reassess existing knowledge and reframe their understanding of social phenomena. This process can lead to the rejection or modification of previously accepted theories and the emergence of new theoretical frameworks that better capture the complexity of the social world. Paradigm shifts, therefore, drive the advancement and evolution of knowledge in social research.
Furthermore, paradigm shifts often result in changes in research practices and methodologies. As new theoretical perspectives gain traction, researchers may adopt different research methods and techniques that align with the new paradigm. For example, a paradigm shift from a positivist to a constructivist perspective may lead to a shift from quantitative research methods to qualitative approaches that focus on exploring subjective experiences and meanings. Researchers may also employ new tools and technologies to collect and analyze data, allowing for innovative and more nuanced investigations.
Paradigm shifts can also have implications for interdisciplinary collaborations and the integration of diverse perspectives. As new paradigms emerge, they may bridge different disciplinary boundaries and encourage interdisciplinary research. This can lead to the exchange of ideas, theories, and methodologies across disciplines, enriching the overall knowledge production in social research. Paradigm shifts also promote the incorporation of diverse voices and perspectives, as alternative theories and paradigms challenge the dominance of certain viewpoints and promote a more inclusive understanding of social phenomena.
However, it is important to note that paradigm shifts are not always readily accepted or smoothly implemented. They can be met with resistance from established researchers who are invested in the existing paradigm. The process of paradigm shift can be disruptive and unsettling, requiring researchers to reexamine their beliefs, assumptions, and research practices. This resistance can slow down the adoption of new paradigms and hinder the progress of knowledge production.
In conclusion, paradigm shifts in social research have far-reaching implications for knowledge production and research practices. They challenge existing theories and methodologies, leading to the reevaluation and creation of new knowledge. Paradigm shifts also influence research practices, shaping the selection and application of research methods. They encourage interdisciplinary collaborations and the incorporation of diverse perspectives, but can also face resistance from established researchers. Embracing paradigm shifts is crucial for advancing social research and ensuring its relevance and rigor in understanding and addressing complex social phenomena.
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ps. If you used this procedure with
Deleted research item The research item mentioned here has been deleted
, which the LLM detector suggests may be so, following Bruce Weaver 's comment it might be wise to contact the editor of that journal.
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How is AI applied in basic education?I'll appreciate if you can provide specific activities or methodologies on how it is applied to teaching- learning.
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  1. Personalized Learning: AI can adapt educational content and learning experiences to the individual needs and preferences of students. By analyzing student data and behavior patterns, AI-powered platforms can provide personalized recommendations, adaptive assessments, and customized learning paths. This helps students learn at their own pace, address their specific learning gaps, and receive tailored feedback and support.
  2. Intelligent Tutoring Systems: AI-based intelligent tutoring systems provide personalized instruction and support to students. These systems analyze student responses, identify misconceptions, and offer targeted explanations and guidance. Intelligent tutors can adapt their instructional strategies and provide additional resources to support student learning and mastery of concepts.
  3. Automated Grading and Feedback: AI algorithms can automate the grading process for objective assessments like multiple-choice questions. This saves teachers time and allows for faster feedback to students. AI-powered systems can also provide feedback on written assignments by analyzing factors like grammar, content, and coherence, helping students improve their writing skills.
  4. Natural Language Processing (NLP) Applications: NLP techniques can enhance language learning and literacy skills. AI-powered language processing tools can assist in speech recognition, language translation, and language learning applications. These tools support language acquisition, pronunciation practice, vocabulary building, and comprehension exercises.
  5. Virtual and Augmented Reality: AI can be combined with virtual reality (VR) and augmented reality (AR) technologies to create immersive learning experiences. VR and AR simulations can provide interactive and engaging environments for students to explore complex concepts, historical events, or scientific phenomena. AI algorithms can analyze student interactions within these environments to provide personalized guidance and feedback.
  6. Data Analytics and Early Warning Systems: AI-based data analytics can help identify at-risk students and predict their likelihood of success. By analyzing various data points such as attendance, grades, and behavior patterns, AI systems can flag students who may require additional support or interventions. Early warning systems powered by AI enable educators to intervene and provide targeted assistance to struggling students.
  7. Administrative Support: AI can assist with administrative tasks in basic education, such as scheduling, resource allocation, and student record management. Chatbot applications powered by AI can provide instant responses to common inquiries, freeing up administrative staff's time and ensuring timely communication.
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I am currently engaged in the modeling of a membrane packed bed reactor, specifically in its initial stages where only a packed bed reactor is considered, and the model has not yet incorporated a membrane or its associated effects.
Regrettably, I have encountered a challenge during the modeling process.
In my current model, the desired total concentration is expected to remain constant, while the velocity should vary accordingly. However, I have observed the opposite effect, which is contrary to my expectations.
I kindly request your esteemed insights regarding the potential reasons behind this discrepancy. Despite thoroughly reviewing my methodology and variables, I have been unable to pinpoint the root cause. Any suggestions or recommendations you could offer to assist me in resolving this issue would be highly appreciated.
Thank you sincerely for your attention and expertise. I eagerly look forward to receiving your invaluable input.
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Jamoliddin Razzokov Ma'Mon Abu Hammad thank you for your responses, sir. I have taken note of the provided answer and will ensure its careful consideration. Thank you for your time and assistance.
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More and more students are using AI to aid their bibliographic research. But to what extent in fact is there a real dedication to using the tool as an auxiliary tool and not as your way of writing.
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The level of dedication to using these tools as auxiliary versus primary writing tools likely varies between individuals and their approach to research and writing. Ultimately, the responsibility for ethical writing practices lies with the individual researcher and their adherence to academic integrity standards.
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Generally we use different methodology according to our subject requirement but some time we feel same methodology is used by 2 different authors and the finding are totally different.
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As Uday Bhale notes, there can be any number of factors that account for different results when suing seeming similar methods. From a practical standpoint, this generates a definite need for further research.
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I am doing a study on electrical supply in NZ. I have many contacts but not everyone took part so I can only use those who say yes to taking part. I am struggling to name this approach to data collection to put in my methodology chapter. Please can someone help me? in other words, I could only use what I could get.
Thank you - I know someone will have come across this as well.
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If you had clear criteria for who was eligible to be included in your study, then that goes beyond convenience sampling, and could be more generally summarized as purposive sampling.
The issue of limited participation is a question of "access," which you could discuss under that heading.
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Must a review paper in the Robotic include a section on methodology and conclusion? Is there a requirement for the selection of search data-base?
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Review papers rarely include a method section since they do not report on original research. Instead, review papers summarize and evaluate the findings of previous studies in a specific field, and the article's main body is structured based on the themes and topics that emerge from the literature review.
While it is not mandatory to include a conclusion section in a review paper, it is considered good practice to summarize the main findings and a discussion of their implications. The conclusion should highlight the key insights or gaps in the literature, provide recommendations for future research, and discuss the broader implications of the findings for the field. Including a conclusion section can help readers to better understand the significance of the review, and to identify key takeaways from the article.
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Hi everyone,
I am working on studying the perspectives towards persons with disabilities among a small sample of secondary students (n=12). I have come across a very interesting questionnaire called the "New Scale to Assess Attitudes and Perspectives Toward Persons With Disabilities". However, I have concerns about the meaningfulness of administering the questionnaire to such a small sample size. I am considering transforming the questionnaire's questions into discussion items for a focus group. However, I am unsure if this approach is methodologically appropriate."
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Yes, just explore multi method qualitative analysis.
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I wan to design a knowledge management cycle model for a specific area . which methodology is usefull?
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There are different approaches for developing programmatic interventions that have been described. One of them is the research-to-practice model which generally includes research from the onset and follows predefined stages for program development². Another approach is the community-centered model².
A new concept called “scientific accompaniment” has been proposed to expand and guide program development and testing¹. It aims to argue that a singular focus on evaluation has limited the ways in which science and research are incorporated into program development¹.
In addition, multiscale modeling is a successful strategy to integrate multiscale, multiphysics data and uncover mechanisms that explain the emergence of function³.
Source:
(2) Scientific accompaniment: a new model for integrating program .... https://www.emerald.com/insight/content/doi/10.1108/JCS-09-2021-0037/full/html.
(3) Integrating machine learning and multiscale modeling ... - Nature. https://www.nature.com/articles/s41746-019-0193-y.
[1]Rameshwar Gupta*,
Research Scholar,
Department of Lifelong Learning & Extension
CSJM University, Kanpur, U.P. India
Whatsapp/Mobile: +918630831266
[1]Doctoral Student, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India, Email id: rameshwargupta775@gmail.com, Mobile: 8630831266, https://orcid.org/0000-0003-3761-3591
*Single author
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Studying the various philosophers, even the contemporary thinkers, is a matter of study and analysis. Whatever our stage of development is, such study and analysis can only be educating ourselves in the strict sense. Thinking for ourselves is also part of the process, which should have greater weightage as the educative phase is had long enough.
Now what about forgetting for some time the contributions of the many philosophers of our time or of the past, especially the kind whom we all mention habitually, and then theorizing philosophically for ourselves without constant references to their works and notions, as doctoral students do?
Why do I suggest this? Such dependence on the works of the stalwarts and of the specialists on them may veil our abilities to see many things for ourselves. Thus, we can avoid becoming philosophical technicians and even the slightly better case of becoming philosophical technologists or philosophical experts.
I believe that synthesizing upon some good insights from the many thinkers and from the many disciplines would require also the inevitable conceptual foundations that we would be able to discover beyond these notions.
Suppose each of us looks for such foundations, and then share them on a platform. If the discussion is on these new foundations, something may emerge in each of us as what we could term genuine foundations. These need not remain forever, because philosophy and science show grow out of whatever we and others have done. But, as a result of the effort, we will have effected a better synthesis through such personal efforts than when without seeking foundations.
I think the conceptual foundations on which the concept of synthetic philosophy works may thus gain a lot. I for one consider the whole history of analytic and linguistic philosophy as lacking such rigour. You all may differ from what each one of us suggests. That is the manner in which deeper foundations can be sought. I am on such a journey.
I believe that in the journey to find deeper and more general foundations than those available, we will already have created a manner of doing philosophy independently, and if done in conjunction with the sciences, we will have a new manner of doing the philosophy of science. Fell trees from their roots, and we have the place to plant a new tree.
Let me suggest a question. All these 2.5 millennia of western philosophy, we have not found the question of the implications of existence (to exist, To Be) being discussed. Plato and Aristotle have tried it, and thereafter we do not see much on the implications of To Be. Now if some implications of To Be are found, these could be a strong foundation for philosophy of any kind. I hope we cannot find such implications of Non-existence for doing philosophy or science. The definitions of the implications of To Be will change in the course of time, but some core might continue to remain, if we do something validly deep and general enough.
Let me suggest an interesting manner in which many philosophers evaluate their peers. (This may also be applicable in all other fields.) This is here brought to a historical context, not merely theoretical. This I do in order to make the example very clear.
Suppose you (say, A) speak of space, time, entities, matter-energy, etc. in a special context. The peer (say, B) gets hold of the text and starts criticizing A’s notion of space, time, entities, matter-energy, etc. B starts from the concepts of space and time. He says, Kant and thereafter almost all thinkers have placed space and time merely as epistemic categories. This has been done in the context of phenomena. If you (A) hold the epistemic variety of notions of space and time, then they are phenomenal. In that case, you should have studied in the text what phenomena meant in Kant and analyze the scientific and philosophical consequences of those concepts.
B continues. If you wanted to make space and time metaphysical concepts, then you are speaking of the noumena. For Kant these are unknowables. Hence, you need to first show that the noumena are knowables. In that case you are rightful in suggesting epistemic / epistemological concepts of space and time. If not, you need to take recourse to other relevant philosophers or scientific disciplines to demonstrate the metaphysical meaning of space and time that you have introduced. And so on.
Absolute dependence upon the traditions and unpreparedness to think differently from the past or present thinkers is what is exhibited here. Not that B is not intelligent enough. B is. But the preparedness to think for years and decades differently comes not merely from the desire to think differently, but from the desire to SOLVE ALL THE PROBLEMS OF THE WORLD TOGETHER. We know we are being overambitious. If we demonstrate such an attitudes in our behaviour to others, then it is due to an intellectual sense of preponderance. But if we remain receptive to all new inputs from all others and all sciences, we will continue to be enabled to persevere in methodological obverambitiousness.
The peer had already decided how the author should write. It seems that the author should have written on all sub-themes within the title a separate book or part in the book....! Or, should he have cited from all sorts of authors on all possible sub-themes in his book in order to be approved by the peer?
Yet another systematically dominative and other-debilitating manner of peers is this: Say, I submit to you the publisher a book. The publisher sends it to the peer/s. Without even taking time for a good reading of the text, the peer suggests some opinions to the publishers, which the publisher relates to the author in a day or two: Your work may be very good, but its title is too broad. An author cannot do justice to the whole breadth of the subject matter!
Have you heard or read psychologists, neuroscientists, medical doctors, etc. discussing some symptoms and their causes? A book in psychology says: ‘According to the bio-psycho-social approach in psychopathology, one mental disturbance CAN have many causes.’ But a person trained and enthusiastic about philosophy (also of the philosophy of the sciences) would wonder why there should not be many causes, at least some of which one could seek to find...! Discovering ‘only the immediate, exact, and unique cause’ is not their work because any reason can tell us that nothing in this world has an exact cause.
This directs our attention to a basic nature of philosophy: Not that a philosopher should only generalize. But a philosopher should study any specific thing only in terms of the most generalizable notions. Here ‘generality’ does not directly indicate only abstraction. It demonstrates the viewpoint that philosophy always takes. Hence, speaking only of the linguistic formulation of notions and arguments, formulating arguments only of life-related events in order to prove general principles that belong to the whole of Reality, etc. are not philosophical. The philosophically trained reader can recognize which recent trends in philosophy I have in mind here.
I may be talking strange things here, especially for those trained mainly in analytic philosophy and the philosophy of science in a narrow manner. If you do not find such suggestions interesting, just ignore this intervention. I continue to work on this. I do have some success. Each of us has our own manner of approaching the problems.
I am aware that I may be laughed at. Since I have left the profession of teaching, I do not lose much. Moreover, getting great publishers is out of reach for me, but that too does not compound to much consequence if eventually one succeeds to do something solid.
Bibliography
(1) Gravitational Coalescence Paradox and Cosmogenetic Causality in Quantum Astrophysical Cosmology, 647 pp., Berlin, 2018.
(2) Physics without Metaphysics? Categories of Second Generation Scientific Ontology, 386 pp., Frankfurt, 2015.
(3) Causal Ubiquity in Quantum Physics: A Superluminal and Local-Causal Physical Ontology, 361 pp., Frankfurt, 2014.
(4) Essential Cosmology and Philosophy for All: Gravitational Coalescence Cosmology, 92 pp., KDP Amazon, 2022, 2nd Edition.
(5) Essenzielle Kosmologie und Philosophie für alle: Gravitational-Koaleszenz-Kosmologie, 104 pp., KDP Amazon, 2022, 1st Edition.
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Dear colleagues, I agree with you.
Everyone has the right to have their own philosophy and to form their own picture of the world. However, in this case we should divide all philosophers into four groups:
- everyday philosophers (all our friends, colleagues and close people);
- philosophers "due to circumstances" (philosophers of disciplinary branches of science);
- intellectual philosophers (philosophers who are attracted by the possibility of constructing intellectual hypotheses of amazing beauty);
- and professional philosophers (compilers of general contexts of cognition of the world).
The answer to the question: what does the world really look like? – fundamentally interesting only to a small group of professional philosophers (compilers of general contexts of cognition of the world). I am sure that a person cannot ask a question that he cannot answer. Therefore, in the question: what is the world? – its uniqueness is already being pointed out. However, there may be many interpretations from other groups of philosophers. For example, some philosophers-physicists assume the existence of a plurality of worlds. A beautiful worldview picture! But this picture does not negate the question of what a single world looks like, within which many worlds are located. Probably, Plato's statement that a professional philosopher should lead the state should be considered in this context. Probably, only a philosopher can organize the governance of the state by bringing the philosophical statements of four groups of philosophers (members of society) to a universal law that determines the unity of the world. Therefore, we can look at the world, admire its objects and processes, as well as our thoughts about the world. But we must definitely see a one and only world (objects, processes and our thoughts about them, through the prism of systems transdisciplinary models of universal order, which encode each object, process and our thoughts).
In conclusion, it is important to say about the increased responsibility of a professional philosopher. The area of responsibility of a professional philosopher should not be limited only to the formation of a picture of the world. This area should extend to the following chain of actions: description of the picture of the world; creation of an appropriate concept (basic judgments and axioms); creation of methodology (models of cognition of the world and rethinking its high–threshold problems); description of technological ideas (ways to solve high-threshold problems of nature and society); creation of a method of risk analysis from the implementation of the proposed concepts, methodology, technological ideas (security of the world and society). Simply put, during the changing scenarios of the world order and socio-economic crises, professional philosophers, not professional military, should speak.
You can read about the picture of the unified world and the ways of its cognition in these articles:
Mokiy, V.S., Lukyanova, T.A. (2022). Manifesto for systems transdisciplinarity (2023-2030). Universum: Social sciences, 9(88). https://7universum.com/ru/social/archive/item/14313
Mokiy V.S, Lukyanova T.A. (2022). Prospects of integrating transdisciplinarity and systems thinking in the historical framework of various socio-cultural contexts. Transdisciplinary Journal of Engineering and Science, 13. pp. 143-158. https://doi.org/10.22545/2022/00184
Mokiy, V. S., & Lukyanova, T. A. (2022). Modern transdisciplinarity: Results of the development of the prime cause and initial ideas. Issues in Informing Science and Information Technology, 19, pp. 97-120. https://doi.org/10.28945/4951
Mokiy, V.S., & Lukyanova, T.A. (2022). Sustainable development of nature and society in the context of a systems transdisciplinary paradigm. Transdisciplinary Journal of Engineering & Science, 13, Special Issue on Complex Resilience and Sustainability. Transdisciplinary Perspectives, In G. del Cerro Santamaría (Ed.), 15-35. https://doi.org/10.22545/2022/00192
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Dear scientists and researchers,
If you have any kind of experince or knowledge on flood risk mapping in urban areas (i.e., methodology, risk estimation, map preparation, etc), please kindly share your findings and knowledge.
Thank you in advance and looking forward to collaborating together.
Naser Dehghanian
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Greetings, Naser Dehghanian,
Indeed, flood risk mapping in urban and rural areas is feasible by integrating diverse data sources, innovative tools, and advanced techniques.
Several data sources such as topographic maps, hydrological models, rainfall data, land use and land cover data, and historical flood data can be used with remote sensing, Geographic Information Systems (GIS) and field observations to generate accurate and comprehensive flood risk maps.
Furthermore, community engagement and participation hold significant importance in flood risk mapping as local knowledge and expertise can offer valuable insights into a particular area's specific flood risks and vulnerabilities.
I recommend reviewing the literature to enhance your understanding and knowledge in this field. Numerous high-quality research papers provide insightful perspectives on urban flood risk mapping and assessment.
Please find below a selection of potential sources for your consideration:
Ali YOUNES,
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What is the "snowball technique" or "snowball sampling" in research?
[1]Rameshwar Gupta*,
Research Scholar,
Department of Lifelong Learning & Extension
CSJM University, Kanpur, U.P. India
Mobile: +918630831266
The "snowball technique" or "snowball sampling" is a research method used to identify and recruit participants for a study when the target population is difficult to access or locate. It is particularly useful in cases where the population being studied is small, hidden, or marginalized.
In the snowball technique, researchers begin by identifying and recruiting a few initial participants who meet the criteria for the study. Once these participants are involved, they are then asked to refer other individuals who they believe also meet the study's criteria. This process continues, with each new participant referring additional participants, hence the term "snowball," as the sample size grows.
The technique relies on the assumption that individuals within the target population have social networks and can provide referrals to others who share similar characteristics or experiences. This method is commonly used in qualitative research, particularly in fields such as sociology, anthropology, and psychology.
Snowball sampling can be advantageous in accessing hard-to-reach populations, as it relies on existing social connections and networks. It is often used when studying sensitive topics or marginalized communities where it is challenging to obtain a representative sample through traditional sampling methods. However, it is important to note that snowball sampling may introduce biases, as participants are typically connected through existing relationships and may share certain characteristics or perspectives.
Researchers using the snowball technique should exercise caution in interpreting the findings, acknowledging the limitations of the sampling method and potential biases. It is also important to ensure participant confidentiality and obtain informed consent throughout the research process.
References:
Few references that provide more information on snowball sampling in research:
  • · Atkinson, R., & Flint, J. (2001). Accessing Hidden and Hard-to-Reach Populations: Snowball Research Strategies. Social Research Update, 33(1), 1-4. Retrieved from http://sru.soc.surrey.ac.uk/SRU33.html
  • · Biernacki, P. (1986). Pathways from heroin addiction: Recovery without treatment. Temple University Press.
  • · Biernacki, P., & Waldorf, D. (1981). Snowball Sampling: Problems and Techniques of Chain Referral Sampling. Sociological Methods & Research, 10(2), 141-163. doi:10.1177/004912418101000205
  • · Bock, M. A., & Harel, O. (2010). Sampling Hard-to-Reach Populations With Snowball Sampling Methodology: Theoretical and Practical Considerations. In M. L. Tatum (Ed.), Handbook of Research on Multicultural Education (2nd ed., pp. 3-20). Routledge.
  • · Gile, K. J., & Handcock, M. S. (2010). Respondent-Driven Sampling: An Assessment of Current Methodology. Sociological Methodology, 40(1), 285-327. doi:10.1111/j.1467-9531.2010.01223.x
  • · Goodman, L. A. (1961). Snowball sampling. The Annals of Mathematical Statistics, 32(1), 148-170.
  • · Heckathorn, D. D. (1997). Respondent-Driven Sampling: A New Approach to the Study of Hidden Populations. Social Problems, 44(2), 174-199. doi:10.1525/sp.1997.44.2.03x0221m
These references cover various aspects of snowball sampling, including its methodology, strengths, limitations, and applications in different research contexts. You can access these articles and books through academic databases or university libraries to gain a more in-depth understanding of the snowball sampling technique.
[1]Ph.D. Student, Department of Lifelong Learning & Extension, CSJM University, Kanpur, U.P., India, Email id: rameshwargupta775@gmail.com, Mobile: 8630831266
*Single author
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The "snowball technique" or "snowball sampling" is a non-probability sampling method commonly used in research, especially when studying hard-to-reach or hidden populations. It involves recruiting participants through referrals from existing participants, thus "snowballing" as the sample size grows.
In snowball sampling, the initial participants are typically selected based on specific criteria or characteristics relevant to the research study. Once these initial participants are identified, they are asked to refer or nominate other individuals who meet the same criteria or have the desired characteristics. The process continues iteratively, with each new participant being asked to refer others until the desired sample size is achieved or the researchers reach a saturation point where new participants no longer provide significant new information.
Snowball sampling is particularly useful in situations where the target population is challenging to access, such as marginalized or stigmatized groups, illegal activities, or small and interconnected populations. It allows researchers to tap into social networks and leverage the trust and connections between individuals to identify potential participants.
While snowball sampling offers advantages in reaching hidden populations, it also has limitations. The sample may become biased and not represent the broader population accurately. The referral process can introduce biases due to the characteristics and social networks of the initial participants. Additionally, the method lacks randomization and may be prone to self-selection and recruitment biases.
Researchers should carefully consider the limitations and potential biases associated with snowball sampling and apply appropriate strategies to mitigate them. It is essential to acknowledge the limitations of the sampling method when interpreting and generalizing the findings of studies that use snowball sampling.
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It's just a more general question. I understand that the objectives and methodology must be considered
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The best review article is that focusing on a specific important topic, when you give all related ideas to that article, interconnect, and then conclude and recommend, the specific article will be the best. Some review articles are general, in that case you should go and collect all related results, then conclude. Regards.
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I am planning a MSc Dissertation but I am not quite sure on how to go about the methodology. I will appreciate any hints or recommendation on how to go about this.
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A location-based case study is a research method that is used to investigate the effectiveness of nature-based solutions to flood resilience. This method involves collecting data from a specific location and analyzing it to determine the effectiveness of the nature-based solutions that have been implemented in that area.
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Is there any resemblance in how "information flow" happens in humans (Molecular Biology/Neurology) and computers (Computer Networking)?
This question came to be after a note was made by a Computer Networking (CN) lecturer that no new methodologies for information flow in CN to be discovered.
I got interested to look for the answer in the Central Dogma of Molecular Biology, and still awaits further insights.
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Require Sampling Methodology and Testing Methodology to find out the results about interaction between heavy metals, microorganism and microplastics in sediments of mangroves
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the best way to find out the complex interactions between HMs micro-organisms and MPs is just to analyze the sediment for metals using ICP-MS or FAAS/AAS, and microorganisms through genome sequencing from the sediment,. then use multi-omics ( metabolomics etc) techniques in the microorganism. finally, analyze the statistical relationship between the data (like what is the effect of metals and MPs on the micro. organism diversity, what is the exact relationship between the metals and MPs with the metabolomics of the microorganisms in sediment?
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Any source/s to refer to on identifying methodological gaps/methodology gaps in research?
Please mention the links.
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A methodological gap refers to a deficiency or inadequacy in the research methods or approach used in a particular study or field. Identifying a methodological gap involves recognizing a limitation or area for improvement in the methodology employed. Here are some steps to help you identify a methodological gap:
  1. Understand the research context: Familiarize yourself with the subject area and the specific research topic of interest. Gain a clear understanding of the existing literature, theories, and methodologies commonly employed in the field.
  2. Review previous studies: Conduct a comprehensive review of relevant literature and examine previous studies that have addressed similar research questions or topics. Look for common trends, methodologies, and approaches used in these studies.
  3. Identify limitations or gaps: Analyze the existing literature critically and identify any limitations or gaps in the methodologies used. Consider factors such as sample size, research design, data collection methods, data analysis techniques, or theoretical frameworks employed. Look for areas where the methods used may have restricted the study's scope, validity, generalizability, or reliability.
  4. Evaluate research objectives and questions: Assess the research objectives and questions of the study you are examining or conducting. Determine if the selected methodology adequately addresses these objectives and research questions. Look for areas where the current methodology may fall short in providing a comprehensive understanding or solution.
  5. Consider alternative approaches: Explore alternative methodologies that could potentially address the identified limitations or gaps. Consider different research designs, data collection techniques, statistical analyses, or theoretical frameworks that may offer more robust or nuanced results. Assess whether these alternative approaches would better align with the research objectives and questions.
  6. Consult with experts: Seek the input of experts or researchers in the field. Engage in discussions or collaborate with colleagues who have expertise in the specific research area to gain their insights and perspectives on potential methodological gaps. They may provide valuable feedback or suggest alternative methodologies.
  7. Justify the identified gap: Once you have identified a methodological gap, it is important to provide a rationale for why the gap exists and why addressing it is necessary. Clearly articulate the limitations or deficiencies in the current methodology and explain how rectifying the gap would enhance the validity, reliability, or overall quality of the research. Source Chat GPT Retrieved 24/5/2023
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Hi everyone. Currently, I'm writing a research paper in which I'm working on a paper similar to a paper published. In my paper, I changed only one variable. So my question is that should I copy his methodology? Well, obviously I know that I can copy their methodology but my real question is that I'm writing the paper and if I'm copying their methodology and their reasons should I cite him again and again? My second question is doesn't this makes my paper dull and duller... Share your thoughts
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Nouman khan Usama You can adopt their strategy of defending their research . . .
Wish all the best, RG Scholar Nouman khan Usama!
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Hybrid project management methodology is helping many project managers around the world improve their achievements. However, can hybrid methodology guarantee better results on Oil and Gas industry?
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So.... must of us agreed that a hybrid methology is usefull in energy field projects. But, next question is.... HOW.
How can a project manager use the best tools created on agile methodology to garantee sucess on risks that appers on oil and gas projects?
In my experience on 2 petrolleum multinational in 4 years of work in project management departament, communication goes better when a Daily meeting (from agile methodoly) is used regulary, consequentely some risks never show up or are mitageted by that kind of meeting. But, what else can be use from agile to decrease risks on energy filed? I'm looking for answears as soon as I found, I'll be back to share. If you have some study about, please let me know.
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Is it possible to quantify the degree of synergy between two or more companies? What methodologies can be used for this? For example, between companies where the activity of one has an qualitative impact on the others.
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Yes, it is possible to quantify the degree of synergy between two or more companies. Synergy refers to the degree of the combined benefits that can be achieved by two or more companies merging or working together.
There are several methodologies that can be used to quantify the degree of synergy between two or more companies. Here are a few commonly used methods:
  1. Financial Analysis: One way to measure synergy is to analyze the financial statements of the companies involved. This involves looking at the revenue, costs, and profits of each company and then projecting what the combined financials might look like if the companies were to merge or collaborate. The analysis could involve evaluating the potential cost savings, revenue increases, and other financial benefits that could arise from the collaboration.
  2. SWOT Analysis: Another approach to quantifying synergy is to conduct a SWOT analysis, which stands for Strengths, Weaknesses, Opportunities, and Threats. This method involves examining the strengths and weaknesses of each company and identifying potential areas of overlap or complementarity. This can help to identify potential opportunities for collaboration and areas where the combined companies could be stronger than they would be individually.
  3. Customer Analysis: A customer analysis involves studying the customer base of each company to see if there is any overlap or complementarity. This can help to identify potential opportunities for cross-selling or joint marketing efforts that could lead to increased revenues.
  4. Cultural Analysis: A cultural analysis involves evaluating the corporate cultures of the companies involved in the collaboration. This can help to identify potential areas of conflict or synergy. If the cultures are too different, it may be difficult for the companies to work together effectively. On the other hand, if the cultures are aligned, it may be easier to achieve synergy.
Overall, there are several methodologies that can be used to quantify the degree of synergy between two or more companies. It is important to carefully evaluate each approach and choose the one that is most appropriate for the specific situation.
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the methodology for this type of study (studying historical buildings in terms of the architectural style)
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I would start by looking at the physical material available at each point in time and the prevailing technology. Then you can look at points in time when there is a structural break in the architectural approach and construction or points in time when we observe a shift in styles.
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Including assessment of the robustness of results.
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A repetition of what I posted on one of your other questions.
Is there an impact of climate change on geomagnetic storms?
I prefer to look at this issue the other way round.: “Does the geomagnetic system has an impact on the climate change. The core is the “control center" of the strength and orientation of
the magnetic field of the Planet Earth (Geo-Dynamo-Effect). It is the sphere where our quadripartite climate driving system comes full circle (atmosphere, lithosphere, asthenosphere, core-mantle sphere). The geomagnetic field shields our habitat from extra- terrestrial impacts, e.g., cosmic rays and solar winds (see point 1)with consequences also on the climate (Brauer et al., 2008; Donadini et al., 2010; Korte et al., 2011; Svensmark et al.,2017; Liu et al., 2022). The North Pole is currently moving very fast towards Siberia at a speed of between 55 km to 45 km per year which by analogy with the geological past also leaves its imprints on the climate (Livermore et al., 2020).
But keep in mind “What did not suit cannot be true”. This is the slogan of all those who want to change the climate which has been changing for millions of years unaffected by human beings but impacted among others by the changing geo-magnetic field (and not to forget by so-called scientists)
HGD
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Hi all,
I am a student working towards gaining my nursing Master's degree. I am conducting qualitative research to explore the nursing Students’Experiences of Electronic Medical Records During Placements. My question is: Is it correct to use constructivist theory approach,interpretative phenomenology and thematic analysis for my methodology/approch/data analysis?
Thank you.
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Congratulations on pursing your gradulate degree. The constructivists theory certainly could fit. it says that people construct knowledge from what is happening to them, added to their own lived experience. I guess I would ask what is the aim of your research? What are you setting out to accomplish? What is the Nursing Problem that you are studying, and how does it impact Nursing Knowledge? your theory, methodology, and analysis are dependent upon what you are trying to find out to some degree.
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Is it methodologically possible to conduct and interpret descriptive analyses in rotational panel data?
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Yes, it is possible to conduct and interpret descriptive analyses in rotational panel data. Descriptive analysis is a common method used to summarize and describe the characteristics of a dataset, including measures such as means, standard deviations, and correlation coefficients. These methods can be applied to panel data to summarize the characteristics of the data over time, within individuals or groups, and across variables.
Rotational panel data refers to a type of panel data where survey participants are replaced over time in a specific pattern. This type of panel data can be analyzed using methods similar to those used for traditional panel data, although there may be some specific considerations related to the sampling and selection of participants.
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Dear fellows,
Maybe you have done interesting measurements to test some model?
I can always use such data to use as examples and tests for my regression analysis software, and it's a win-win, since I might give you a second opinion on your research.
It's important that I also get the imprecision (measurement error/confidence interval) on the independent and dependent variables. At this moment, my software only handles one of each, but I'm planning to expand it for more independent variables.
Thanks in advance!
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Carlos Araújo Queiroz I don't see a dataset, or am I missing something?
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Existing book Software Engineering Methodologies:
1. Waterfall Model
2. Prototyping Model
3. Automatic Programming
4. Reusable Model
5. Incremental Model
6. Spiral Model
7. Fountain Model
Existing most commercial Software Engineering Methodologies:
1. Agile Software Development Methodology
2. DevOps Methodology
3. Scrum Development Methodology
4. Waterfall Model
5. Prototype Methodology
6. Feature-Driven Development
7. Rapid Application Development (RAD)
8. Spiral Model
9. Dynamic Systems Development Model Methodology
10. Extreme Programming Methodology
11. Joint Application Development Methodology
12. Lean Development Methodology
We will address several questions about the above books and commercial methodologies later and provide a Unified and Stable Methodology to replace all these existing methodologies.
Existing Software Engineering Methodologies. Good, Bad, and ugliness, and please do not be fooled by several propagandas about https://en.wikipedia.org/wiki/Software_engineering and https://en.wikipedia.org/wiki/List_of_software_development_philosophies (Contain flawed information about software engineering) which include many named existing paradigms and models, such as UAP, XP, RAD, RUP, DSDM, MBSE, and other methodologies and Frameworks, Supporting Disciplines, Practices, Tools, Body of knowledge, and Glossaries. We will address all this propaganda and more in evidence and empirical studies.
Check the. Software engineering References – We will look at some references (bizarre). We will also provide critical looks at course notes and exciting books.
All the SWE Methodologies have the following phases Explicitly and Implicitly, with the amount of work allocated per each phase according to the
Software Engineering simplified Guidelines:
Requirements (Functional and Non-Functional) 35%
Design 25%
Coding or Programming & Code Testing 10%
Testing 30%
In Practice:
Requirements (Functional and Non-Functional) 0
Design 5%
Coding or Programming & Code Testing 95%
Testing 0
See Attachments
Major Problems:
[1] Sequential
[2] Testing in the wrong place in the lifecycle
{3] Requirements and Design (60% of the lifecycle) 60% of the lifecycle.
In reality, there needs to be a trace of the requirements and design.
[4] The professors, lecturers, teachers, gurus, Deans, and Chairs need to learn about Requirements, Design, and Testing, and they are poor coders.
[5] All SWE Books, leading authors, and SWE Gurus need to learn about Requirements (Functional and Non-Functional): a) Do not know how to do it and b) it needs to be addressed.
[6] Design / Architecture ---
a) The majority of the professors, lecturers, teachers, Guru, and authors are poor modelers
b) Most professors, lecturers, teachers, gurus, and authors have yet to learn what they are doing.
Software Lifecycle with no Testing Stage
A proposal for a software methodology includes Testing with 1) Functional & non-functional Requirements, 2) Design & Architecture, and 3) Coding instead of having the Testing at the end of the lifecycle.
The leading authors in Software Engineering and software testing indicated that Testing starts from or makes it part of the requirements (functional and non-functional), design, and coding.
Tkachenko indicated five primary and four secondary attributes of requirements for software testing:
+ Five primary attributes of requirements testing are Completeness, Clearness, Correctness, Consistency, and Testability.
+ Four secondary attributes of requirements testing are Necessity, Priority, Traceability, and Conciseness.
Evgeny Tkachenko, “5 key attributes of requirements testing: Know before you code.” TechBeacon, 2022
Major Problems
[1] There are no functional and non-functional not exist. How do we test if something is not existing?
[2] Indicating the attributes of requirements Testing without telling what to test and how to test each one of the attributes within the requirements, how to assess or measure such attributes, and others.
The reality did not change, and still, the design was 5% and coding 95%
See attachments.
Conclusions:
Each of the existing books and commercial software engineering methodologies has Good and Bad, but unfortunately, the Ugly (disastrous evil) of all the existing software engineering methodologies exceeds its Bad.
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Software engineering methodology is a tool of humans.There is a dark side to any human endeavor, if by dark side, you mean going against ethical or moral rules. (Leaving open the questions: what rules, whose rules, etc.) Per history and human experience, the problem is complex (an epic understatement), and there is no one solution that works for everyone, everywhere, under all conditions. Rules are static and human behavior is dynamic, sees (or ignores) the rules and then changes (or doubles-down) in reaction. Given that, asking questions is a good place to start. Are you looking for more ethical methods or more ethical outcomes? One does not necessarily produce the other.
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Yes, there are methodologies to measure direct communication exchanges within a public sphere. One approach is to conduct content analysis of the messages exchanged in the public sphere, such as on social media platforms or through public forums. This can involve coding the messages according to various categories such as the type of message, the tone of the message, and the topics discussed.
Another approach is to conduct surveys or interviews with members of the public to gather information on their communication exchanges within the public sphere. This can involve asking about the frequency, nature, and outcomes of their communications with others in the public sphere.
In both cases, it's important to carefully define the public sphere being studied and to use reliable and valid methods for data collection and analysis.
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What are the ways to prepare metal oxides composite with activated carbon (metal oxides + activated carbon) ? Any preferred methodology?
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Dear friend Muhammad Usman Khan
There are several ways to prepare metal oxides/activated carbon composites, and the preferred methodology may depend on the specific application and desired properties of the composite. Here are some general methods:
  1. Impregnation method: This involves impregnating the activated carbon with a metal oxide precursor, followed by calcination to form the metal oxide on the surface of the activated carbon. This method can be carried out in aqueous or organic solvents, and the metal oxide precursor can be a salt, hydroxide, or oxide.
  2. Co-precipitation method: In this method, the metal oxide and activated carbon are co-precipitated from a solution containing the metal precursor and activated carbon. The resulting composite is then calcined to form the metal oxide.
  3. Sol-gel method: This method involves preparing a sol-gel solution containing the metal oxide precursor and activated carbon, followed by drying and calcination to form the metal oxide/activated carbon composite.
  4. Hydrothermal method: This involves treating a mixture of metal oxide precursor and activated carbon in an aqueous solution under high temperature and pressure, resulting in the formation of the metal oxide on the surface of the activated carbon.
  5. Microwave-assisted method: In this method, a mixture of metal oxide precursor and activated carbon is exposed to microwave radiation, resulting in rapid heating and formation of the metal oxide on the surface of the activated carbon.
The choice of the method depends on factors such as the type of metal oxide and activated carbon used, the desired properties of the composite, and the scalability of the method.
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How can I develop a methodology for communicating the experience of how space alters our perception of time in architecture, specifically by using drawing techniques to diagram or codify the difference between the perception of time in space and the passage of time in space, for my thesis in architecture?
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Seba Alabdullatif ----Seba, One methodology is to assign a word or very short phrase to the concepts that you know about space and time. Here you put more (not all) emphasis on architectural space. Next you want to organize them in groups. Starting with words that introduce the topic. A middle group restate the ideas you imply in group one. But adds details. The last group tells of your idea related to architecture. You want to add illustration that enhance these groups. Don’t worry about the drawing quality. You can think of making a short story book for children. A hint - to get ideas for images. Do a google search for the words and click on images.
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Dear all,
What are the best methodologies to find out the ectomycorrhizal colonization on roots? I am looking for a publishable methodology to have a tuber sp. percentages of my seedlings.
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There are several methods to quantify ectomycorrhizal colonization on roots, including:
  1. Root staining: This involves staining roots with dyes such as trypan blue, which will stain the fungal structures blue, allowing for visualization and quantification of ectomycorrhizal colonization.
  2. Root observation: This involves careful observation of the roots using a microscope to identify and quantify ectomycorrhizal colonization.
  3. Molecular techniques: PCR-based methods such as quantitative PCR (qPCR) and terminal restriction fragment length polymorphism (T-RFLP) can be used to quantify fungal DNA in roots, providing a measure of ectomycorrhizal colonization.
  4. Image analysis: Images of root systems can be captured and analyzed using software to quantify the percentage of roots colonized by ectomycorrhizal fungi.
It's important to note that different methods may yield different results and that the choice of method will depend on factors such as the specific research question, the resources available, and the expertise of the researcher. Additionally, it's important to follow established protocols and to use appropriate controls to ensure the accuracy and reliability of the results.
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Digital Transformation is not only about technology but more about people and their mind-sets.
Would like to study the topic in organizational context.
Any suggestions on how to proceed? What should be the methodology?
Any researchers working in this area who would like to collaborate?
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Thank you Dr. Sedghi for your input
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Greetings!
I hope this message finds you well. I would be very grateful if you please provide your valuable feedback regarding the scope, feasibility, and methodology of the following research topics:
1. Financial Literacy and Financial Inclusion.
2. Mobile Financial Services and Financial Inclusion.
Thank you.
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World Bank defined financial inclusion as "Financial inclusion means that individuals and businesses have access to useful and affordable financial products and services that meet their needs – transactions, payments, savings, credit, and insurance – delivered in a responsible and sustainable way." The scope of financial inclusion is not limited to only banking services but also extends to other financial services such as insurance, equity products, and pension products. Quantitative and qualitative methodologies can be used.
Financial literacy means knowing how to use and benefit from affordable products and services. its scope includes budgetary education (personal or family budget) and learning about banking tools (everyday banking, savings, insurance), as well as understanding economic concepts (how the economy operates and is financed) and public policies.
For Mobile financial inclusion, you can benefit form the next guideline
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1. Ideas in points will be appreciated
2. Methodology will be greatful.
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Sophy
You have a very interesting research topic. I would suggest a qualitative methodology using a research collaborative with both dentists and patients. The patients and dentists should have an existing professional relationship. Consider interviews separately for the patient and dentist and then an interview with both parties. Alternatively, focus group discussions might be useful.
Good luck with your research.
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In social studies, comparative studies are common and attract many researchers to follow this approach. Methodology and sampling might encounter a researcher when he has just started to plan for such a study.
So how can we design a proper sampling structure for a comparative study?
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Designing the sample size in comparative studies involves determining the number of participants or units to include in the study. The sample size is an important consideration because it can affect the power of the study to detect significant differences or associations, the precision of the estimates, and the generalizability of the findings.
There are several factors to consider when designing the sample size in comparative studies, including the research question, study design, statistical analysis, effect size, variability, and alpha and beta levels. Some common methods for determining sample size include power analysis, sample size calculation, and rule of thumb.
Power analysis involves estimating the sample size required to achieve a certain level of statistical power, which is the probability of detecting a true effect if one exists. The power calculation takes into account the expected effect size, level of significance (alpha), and the desired power level (usually 80% or 90%).
Sample size calculation involves estimating the sample size needed to achieve a certain level of precision in the estimates, usually based on the desired margin of error or confidence interval width.
The rule of thumb suggests that larger sample sizes are generally better than smaller sample sizes, but there are no hard and fast rules about how large a sample size should be. As a general guideline, a sample size of at least 30 per group is often recommended to ensure reliable statistical inference, but the appropriate sample size will depend on the specifics of the study design and research question.
Ultimately, the sample size should be chosen based on careful consideration of the research question, study design, and statistical analysis, as well as practical considerations such as feasibility and resource availability. It is often useful to consult with a statistician or other expert to determine an appropriate sample size for a given study.
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I'm starting a PhD and considering various methodologies for this research and getting a bit bogged down!
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My best advice would be to discuss this with your PhD supervisor.
The only point I would make is that the methods you use should follow your specific research questions - i.e. from your broad area of interest "the use of prayer in pastoral ministry", you then develop specific research questions, and then the methods you choose should be those best suited to answering your research questions.