Quantitative - Science topic

I am working on my bachelor's thesis. For the thesis, I have done a semi-structured questionnaire with both quantitative questions but also open questions. Isn't it then a mixed method since I used both quantitative and qualitative data collecting in the survey and have analyzed the data both quantitive and qualitatively?

I'm carrying out a qualitative systematic review on the barriers to screening uptake. Following my search and screening for primary studies to be included, I ended up with 5 primary studies. 3 of these studies stated that they used quantitative cross-sectional study designs, however after reading these three studies, I have realized that they provide qualitative evidence, that is, they discuss experiences and barriers to screening which is relevant to my review. Given that my review is qualitative, can I use the qualitative data from these quantitative studies, provided I state this in my selection criteria?

I am researching quantum kernel methods for classification tasks, focusing on mapping classical data into high-dimensional Hilbert spaces using parameterized quantum circuits. My goal is to design quantum feature maps that not only leverage quantum parallelism but are also robust against noise and decoherence inherent in current quantum hardware.

I am looking for theoretical frameworks, empirical studies, or benchmark experiments that address these challenges and offer guidelines for practical implementations in real-world high-dimensional datasets.

I often see scholars using this method in the design research process, but some say it is qualitative and some say it is quantitative. I don’t know how to distinguish them.

I look forward to your discussion and answers.

Hi team,

I have a query about mixed-methods research, particularly sequential explanatory design. I have completed a study assessing the effectiveness of a health behavioral intervention in improving health-related quality of life in people with Type 2 diabetes, measured by the EQ5D tool. This paper is currently under review.

Currently, I am working on a follow-up qualitative paper, which aims to gain deeper insights into participants' perceptions about their quality of life, lived experience with Type 2 diabetes, and how the intervention affected them in various domains of their lives. So, basically, the qualitative paper further explores the meaning of prior quantitative findings. However, since this paper will be a separate journal publication from the previous quantitative paper, can I indicate in my qualitative paper, that it has a sequential explanatory design? I will not be including quantitative findings in this qualitative paper, so I am not sure if I can say it follows the sequential explanatory design. Or, can I frame the sentence around something like - this qualitative paper is a follow-up phase of a larger sequential mixed-methods research, and cite the quantitative paper directing the readers/reviewers to refer to the quantitative paper for quantitative findings?

Look forward to hearing from experts on this matter and understanding what the most appropriate way is.

Thank you!

I want to cluster the 18 sesame cultivars using 9 quantitative traits I observed in the field and lab.

Dear Colleagues,

If you had to recommend a good book about ‘quantitative and qualitative research methods’ for PhD students in industrial or management engineering at the beginning of their research, what would you recommend?

How to convert quantitative data into qualitative data?

Good day,

Asking Permission to adapt research instrument for my thesis A Master in Criminology in relation to Cyberbullying as per identification, prevention and management?

All your measurement will be paraphrased and author will be recognized and acknowledged.

Thanks more power

I have data of qualitative and quantitative of tree. I need to combine the qualitative and quantitative data to find the any statistical hypothesis.

Hi all,

I want to conduct a meta analysis and for the first step we identified the corresponding corpus of articles related to the topic/ research theme.

The next step, as far as I understand , is to find all the quantitative contributions. Currently, because it is a fairly well studied theme, there is a total of approximately one thousand articles.

How is it possible to identify all the quantitative contributions in this big list of articles other than downloading the 1k articles and scanning manually through all of them?

Is there a specific method or tool to do that ? I don't think databases such as WOS or Scopus have a specific filter.

thank you in advance for your help!

Is it percentage? and what type of securities that you use for this research

In the realm of academic research, the choice of research design plays a crucial role in shaping the outcomes and the interpretation of findings. One such design that has gained significant attention in recent years is mixed methods research (MMR). Mixed methods research combines both qualitative and quantitative approaches within a single study, drawing on the strengths of both methodologies to provide a more comprehensive understanding of the research problem. While qualitative research focuses on exploring complex phenomena and understanding the meanings behind behaviors or experiences, quantitative research aims to measure variables and test hypotheses through numerical data. By integrating these two approaches, mixed methods research provides a richer, more refined perspective on the research question. This article explores the fundamentals of mixed methods research designs, the types of mixed methods designs, their benefits and challenges, and provides practical guidance for researchers who wish to use this approach in their studies. Mixed methods research involves collecting, analyzing, and interpreting both qualitative and quantitative data in a single study. It is grounded in the belief that combining qualitative and quantitative approaches can provide a more complete picture of a research problem than using either method alone. In a mixed methods study, qualitative data might involve interviews, focus groups, or open-ended survey responses, while quantitative data typically includes numerical data such as surveys with Likert scales, statistical analysis, or experiments. The integration of these data types allows researchers to capitalize on the strengths of both methodologies. Key Characteristics of Mixed Methods Research 1. Integration of quantitative and qualitative data Mixed methods research combines numerical data (quantitative) with textual or narrative data (qualitative) in a single study. The integration of both data types provides a more comprehensive understanding of the research problem. 2. Philosophical foundation Mixed methods research draws on both positivist and constructivist paradigms. Positivism underpins the quantitative aspects of research, focusing on objective measurement and hypothesis testing, while constructivism informs the qualitative aspects, emphasizing an understanding of lived experiences and meanings. 3. Purposeful integration Mixed methods research is not simply about collecting both types of data; it involves a purposeful integration of qualitative and quantitative findings to offer complementary insights, build on each other, or provide a more robust analysis.

Read the blog at: https://blog.hamnicwritingservices.com/blog-details/mixed-methods-research-designs-an-informative-guide

What is the mechanism for measuring the application of sustainable development in its dimensions (social, economic and environmental dimensions) quantitatively in companies?

I am in the process of publishing a qualitative case study paper and I have used the following terms; correlated, significance and indirect effects to describe the qualitative results. However, I have been asked to change these terms as they are not qualitative terms but are quantitative terms. I'm not sure what I can substitute these words for, has anyone got an idea?

I've to make an analisys about a quantitative and empirical research about same topics in education but i didn't find something interesting

I am doing educational research (mixed methodology), which involves responses from multiple stakeholders. Quantitative phase has 2 types of respondents and qualitative has 3 types. How can i do the sampling for the entire study?

Can anyone tell me how to choose an internal standard for quantitative phase analysis using Rietveld refinement? I found that the corundum is a relatively common internal standard. Besides, ZnO is also used as internal standard. The second quesiton is how to determine the weight percentage of the internal standard added? Many thanks.

Effective data analysis is crucial for producing meaningful and reliable results in academic research. Here’s a tip to help you enhance your data analysis skills:

Utilize a Combination of Quantitative and Qualitative Techniques

Combining quantitative and qualitative data analysis techniques can provide a more comprehensive understanding of your research topic. Here’s how you can do it:

1. Quantitative Analysis:

• Descriptive Statistics: Use measures like mean, median, mode, standard deviation, and variance to summarize your data.

• Inferential Statistics: Apply techniques such as t-tests, chi-square tests, ANOVA, and regression analysis to make inferences about your population based on sample data.

• Data Visualization: Create charts, graphs, and plots (e.g., histograms, scatter plots) to visually represent your data and identify patterns or trends.

2. Qualitative Analysis:

• Thematic Analysis: Identify and analyze themes or patterns within qualitative data (e.g., interview transcripts, open-ended survey responses).

• Content Analysis: Systematically categorize and code textual data to quantify the presence of certain words, themes, or concepts.

• Narrative Analysis: Examine the stories and personal accounts within your data to understand the context and meaning behind them.

Integrating Both Approaches:

• Mixed Methods: Combine quantitative and qualitative data to validate your findings and provide a richer, more nuanced perspective. For example, use qualitative insights to explain unexpected quantitative results or to explore areas not covered by numerical data.

• Triangulation: Use multiple data sources, methods, or theories to cross-verify your results, enhancing the credibility and validity of your research.

By mastering both quantitative and qualitative data analysis techniques, you can produce more robust and insightful academic research. Start experimenting with these methods today to elevate the quality of your work!

Feel free to ask at support@hamnicwritingservices.com if you need more detailed guidance on any specific data analysis technique. Happy analyzing!

#datanalysis #quantitativeanalysis #qualitativeanalysis #mixedmethods #dissertation #thesis #researchproject #researchproposal

Is there anyone to throw light on Data triangulation"- for the quantitative and qualitative data ?

please I will be grateful if someone can assist me to modify my research objectives into a Quantitative objectives. on stand by

In case of QD film, FRET phenomenon occur , Donor QD transfer energy to acceptor QD molecule. How that transferred energy is utilized by the acceptor molecule? is there any quantitative relation or equation which can tell us the utilization of that energy by the acceptor molecule?

As we know, the "sequential explanatory" research design begins with the quantitative phase and continues with the qualitative phase.

I found a problem when one of the students stated that his research used this design, but in the quantitative phase, he did not test the relationship/correlation between variables. He only did a descriptive quantitative.

What do you think, Professor, Sir and Madam?

Can research design be called "sequential explanatory" if the initial phase was only quantitative descriptive research?

Crystal defect and yield Quantum?

None.

How do we convert a qualitative interview to a quantitative format say on a scale of -5 to +5? Is it possible ? I would be immensely grateful if somebody can comment on this.

Regards

Mr Debapriyo Nag

Are there quantitative ways of measuing creativity?

My question is related to Research Methodologies (NOT Research Methods). In the field computing or information systems, what research methodologies can we recommend for undergraduates? I mean similar to Design Science Research Methodology(DSRM), any other methodologies that we can recommend in this discipline without just mentioning the qualitative, quantitative or mixed methodologies.

“You cannot predict [an earthquake] in the sense that there is no developed theory. There are many hypotheses, one might say, scientific ones, but these are still phenomenological models of earthquake preparation. On this basis, it is impossible to build an earthquake prediction system that would be comparable to, say, a weather forecast. This is one side of the matter - that there is no developed quantitative theory of preparation <...> In fact, the trouble with all the signs [of earthquakes] is that sometimes they are observed, but an earthquake does not occur. Which is just as bad as the fact that an earthquake occurs, but they are not observed. Why do I think the first one is very bad? Because false alarms that can spread in such a situation, and panic undermine confidence in this, as in some kind of serious matter, ”said Ruben Eduardovich.

Why does Tatevosyan lie so shamelessly?

If he does not agree with Rogozhin and Nikolaev, then let him prove it openly!

«Нельзя предвидеть [землетрясение] в том смысле, что не существует разработанной теории. Есть много гипотез, можно сказать, научных, но это все-таки феноменологические модели подготовки землетрясения. На этом основании нельзя построить систему прогноза землетрясения, которая была бы сопоставима, скажем, с прогнозом погоды. Это одна сторона дела – то, что нет разработанной количественной теории подготовки <…> На самом деле беда всех признаков [землетрясений] заключается в том, что иногда они наблюдаются, а землетрясение не происходит. Что так же плохо, как и то, что землетрясение происходит, а они не наблюдаются. Почему я первое считаю очень плохим? Потому что ложные тревоги, которые в такой ситуации могут распространяться, и паника подрывают доверие к этому, как к какому-то серьезному делу», – рассказал Рубен Эдуардович.

Зачем Татевосян так бессовестно лжет?

Если он не согласен с Рогожиным и Николаевым, то пусть докажет это открыто!

Greetings!

I am looking for materials on quantitative and qualitative research. What are the methods of collecting information and the principles of their implementation?

I would like to make an assessment of the city's restaurant market.

Autonomous Language Learning can be implemented from primary to tertiary education. Practioners and students report on its effectiveness, however, there appears to be little quantitative or qualitative research on the results and benefits of this approach.

Pir Hassan Ali Shah post a question: How to do quantitative and qualitative data analysis after data collection? Give and review the answer in brief.

All family members, friends, associates, colleagues, scholars, bachelor, master, and graduate students, researchers, teachers of schools, professors of college and university, deans, faculty, staff, alumni, PhD and Mphil scholars, social media groups, and the general public who have collected the data but don't know how to analyse it properly. 

 

Japan suffers the loss of 2 decades economically despite the quantitative easing since 2000. As USA and EU have applied for the quantitative easing in recovering the economies from shock and have recovered then. But, why Japan has not recovered from quantitative easing?

Hello, could you please give me precise details of the antibodies that can be used to perform quantitative immunofluorescence of AT1Rs in the mouse brain?

Hi everyone, I have a question. I am conducting a quantitative study for a competency project. I'm interested in using Rotter's Locus of Control scale to study the impact of racial/ethnic identity, athletic identity, and locus of control on social justice movements within collegiate athletics. Rotter has passed away and the person whose contact information is linked with the scale is no longer working. How would I obtain permission to use his scale? Or do you have suggestions for other locus of control scales that could be used for my study? Thank you!

Counting the numbers of intraepidermal nerve fibers

We produced scFv of an antibody from bacteria. Now we want to establish dissociation Kd of antibody using quantitative elisa.

How can i know the expected Kd value (range in nM, or mM)?

Good day! I am an undergrad and we are currently conducting a research with mixed approach. It has 2 phases, starting with the qualitative phase to quantitative phase. In quali, we plan to get the general internal resources (GIR) needed by PLCs to comply with sustainability disclosure requirements. After we get the GIR based on their responses, we will then ask the SMEs to get the level of existence of such GIR on them when they're preparing sustainability disclosure requirements (this is the quantitative phase). We're having a hard time because we do not know if T-test, Correlational, or Regression is applicable because our variables for quanti are independent.

Hi, I need help.

I am conducting a systematic review of quantitative research. However, several of the studies I have included are MMR, and I want to assess the quality of those articles using certain tools.

What kind of critical appraisal tools should be used to assess quantitative data from MMR papers? Should it depend on what method of quantitative data they gather? or something different?

Thank you.

Looking for biochemical assays for quantitative estimation of Albumin and Casein protein.

Good morning,

I am 48yr old House wife and decided this is it I am going back to do my Honours in Psychology...and then Research Methodoly happened. Now not so deterimened as I was before WHERE do I START?

I have google several platforms for beginners luck but oi! not sure if its them or me that miss understand the word BEGINNER.

I would apprecieted any assistance or guidance as to where I can get some guidance on this quantitative correlation big group retrospective qualitiative concept measure ........etc

Thank you for your time ...much appreciated

aka "Research Mom"

I am writing my dissertation and I am thinking of using an exploratory sequential design. I intend to collect a qualitative data that will inform my quantitative study. My intention is to use the information from my qualitative data to construct a Quantitative instrument but I may not be able to test the instrument due to time constraint. How best can I describe the method I am trying to use. I would also appreciate any literature out there that can be helpful to guide me. Thank you!

Greetings! We invite you to participate in an academic research endeavor focused on Digital Marketing Automation (DMA). In today's rapidly evolving digital landscape, the integration of automation tools within marketing strategies has become increasingly prevalent. To gain comprehensive insights into this phenomenon, we are conducting a survey to explore various facets of Digital Marketing Automation.

Your valuable input is crucial to our research efforts. The questionnaire has been meticulously crafted to delve into several key aspects of DMA, ranging from its implementation challenges to its impact on business performance. We are particularly interested in gathering diverse perspectives from professionals, academics, and enthusiasts who are actively engaged with digital marketing practices.

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hello all

please i need the following reference that i can't find in any web site

#Principles of Quantitative Electron Probe Microanalysis (EPMA) in Geology. K. T. M. Johnson and J. W. Winchester. Cambridge University Press. 2009#

thanks in advance

Dear Academics,

I have two times series with 12 observations for each. Both are yearly quantitive data for last 12 years. I presented as graphs and it seems they have negative correlation.

How can I show the relationship between them statistically (first series effect on second or at least correlation)? Which tests should I perform?

Datas are non-stationary.

Based on your expertise, which softwares are the best for the data analysis and graphs for the quantitative study of microbial biofilms?, pros & cons?

We see many theories in physics, mathematics, etc. becoming extremely axiomatic and rigorous. They call themselves or attempt to be as quantitative as possible. But are adequate comparisons between mathematics, physical sciences, biological sciences, human sciences, and philosophy, and adequate adaptation of the axiomatic method possible by creating a system of all exact, physical, and human sciences that depend only on the quantitively qualitative proportionalities and call them invariables?

They cannot do well enough to explain Reality-in-total, because Reality-in-total primarily involves all sorts of ontological universals that are purely qualitative, and some of them are the most fundamental, proportionality-type, quantitative invariables of all physical existents in their specificity and totality in their natural kinds. But as the inquiry comes to Reality-in-total, ontological qualitative universals must come into the picture. Hence, merely quantitative (mathematical) explanations do not exhaust the explanation of Reality-in-total.

Existence as individuals and existence in groups are not differentiable and systematizable in terms of quantitatively qualitative universals alone. Both qualitative and quantitatively qualitative universals are necessary for this. Both together are general qualities pertaining to existents in their processual aspect, not merely in their separation from each other. Therefore, the primitive notions (called traditionally as Categories) of Reality-in-total must be ontological qualitative universals involving both the qualitative and quantitative aspects. The most basic of universals that pertain properly to Reality-in-total are now to be found.

Can the primitive notions (Categories) and axioms of the said sciences converge so that the axioms of a system of Reality take shape from a set of the highest possible ontological Categories as simple sentential formulations of the Categories which directly imply existents? This must be deemed necessary for philosophy, natural sciences, and human sciences, because these deal with existents, unlike the formal sciences that deal only with the qualitatively quantitative form of arguments.

Thus, in the case of mathematics and logic there can be various sorts of quantitative and qualitative primitive notions (categories) and then axioms that use the primitive notions in a manner that adds some essential, pre-defined, operations. But the sciences and philosophy need also the existence of their object-processes. For this reason, the primitive axioms can be simple sentential formulations involving the Categories and nothing else. This is in order to avoid indirect existence statements and to involve existence in terms exclusively of the Categories.

Further, the sciences together could possess just one set of sufficiently common primitive notions of all knowledge, from which also the respective primitive notions and axioms of mathematics, logic, physical and human sciences, and philosophy may be derived. I support this view because the physical-ontological Categories involving the existence of Reality and realities, in my opinion, must be most general and fully exhaustive of the notion of To Be (existence) in a qualitatively universal manner that is applicable to all existents in their individual processual and total processual senses.

Today the nexus or the interface of the sciences and philosophies is in a crisis of dichotomy between truth versus reality. Most scientists, philosophers, and common people rush after “truths”. But who, in scientific and philosophical practice, wants to draw unto the possible limits the consequences of the fact that we can at the most have ever better truths, and not final truths as such?

Finalized truths as such may be concluded to in cases where there is natural and inevitable availability of an absolute right to use the logical Laws of Identity, Contradiction, and Excluded Middle, especially in order to decide between concepts related to the existence and non-existence of anything out there.

Practically very few may be seen generalizing upon and extrapolating from this metaphysical and logical state of affairs beyond its epistemological consequences. In the name of practicality, ever less academicians want today to connect ever broader truths compatible to Reality-in-total by drawing from the available and imaginable commonalities of both.

The only thinkable way to accentuate the process of access to ever broader truths compatible to Reality-in-total is to look for the truest possible of all truths with foundations on existence (nominal) / existing (gerund) / To Be (verbal). The truest are those propositions where the Laws of Identity, Contradiction, and Excluded Middle can be applied best. The truest are not generalizable and extendable merely epistemologically, but also metaphysically, physical-ontologically, mathematically, biologically, human-scientifically, etc.

The agents that permit generalization and extrapolation are the axioms that are the tautologically sentential formulations of the most fundamental of all notions (Categories) and imply nothing but the Categories of all that exist – that too with respect to the existence of Realit-in-total. These purely physical-ontological implications of existence are what I analyze further in the present work. One may wonder how these purely metaphysical, physical-ontological axioms and their Categories can be applicable to sciences other than physics and philosophy.

My justification is as follows: Take for example the case of the commonality of foundations of mathematics, logic, the sciences, philosophy, and language. The notions that may be taken as the primitive notions of mathematics were born not from a non-existent virtual world but instead from the human capacity of spatial, temporal, quantitatively qualitative, and purely qualitative imagination.

I have already been working so as to show qualitative (having to do with the ontological universals of existents, expressed in terms of adjectives) quantitativeness (notions based on spatial and temporal imagination, where, it should be kept in mind, that space-time are epistemically measuremental) may be seen to be present in their elements in mathematics, logic, the sciences, philosophy, and language.

The agents I use for this are: ‘ontological universals’, ‘connotative universals’, and ‘denotative universals’. In my opinion, the physical-ontological basis of these must and can be established in terms merely of the Categories of Extension-Change, which you find being discussed briefly here.

Pitiably, most scientists and philosophers forget that following the exhaustively physical-ontological implications of To Be in the foundations of science and philosophy is the best way to approach Reality well enough in order to derive the best possible of truths and their probable derivatives. Most of them forget that we need to rush after Reality, not merely after truths and truths about specific processes.

Bibliography

Exploratory Sequential Mixed Methods Research: This approach involves initially collecting and analyzing qualitative data, followed by the collection and analysis of quantitative data to explore or explain the qualitative results further.

When a researcher adopts a mixed method (irrespective of the design), is it adequate to use descriptive statistics to analyse the quantitative data?

Reference Article: Learning the craft of organizational research by Richard L Daft (The Academy of Management Review, 1983)

I am trying to KO a gene (crispr/Cas9 system) and am a little worried about the efficiency of KO due to the number of gene copies that the cell line that I am using (HeLa cells) may have. Comments and advice are most appreciated!

The Comprehensive Ecological Evaluation Index (CEEI) is a quantitative measure used to assess the overall ecological health or sustainability of a particular ecosystem or area. It aims to provide a comprehensive understanding of the ecological condition by integrating multiple ecological indicators into a single numerical value.

I am a PhD student, and my research involves conducting a six-week intervention to investigate its effect on reading skills. Following the intervention, I conducted interviews with participants to explore their perceptions and reading experiences, utilising predetermined questions. Initially, I considered an explanatory sequential mixed-methods design. However, due to time constraints and the school setting of the intervention, I was unable to analyse the quantitative data immediately after its collection. Instead, I analysed both the quantitative and qualitative data after collecting all the data. Given these conditions, I am uncertain about the most appropriate mixed-methods design for my study.

The theta parameter (latent variable) in Item Response Theory (IRT) is not a measure for tester-takers' ability although it may be positively correlated to the test-takers' ability?

The comment below is true for IRT:

"When in 1940, a committee established by the British Association for the Advancement of Science to consider and report upon the possibility of quantitative estimates of sensory events published its final report (Ferguson eta/., 1940) in which its non-psychologist members agreed that psychophysical methods did not constitute scientific measurement, many quantitative psychologists realized that the problem could not be ignored any longer. Once again, the fundamental criticism was that the additivity of psychological attributes had not been displayed and, so, there was no evidence to support the hypothesis that psychophysical methods measured anything. While the argument sustaining this critique was largely framed within N. R.Campbell's (1920, 1928) theory of measurement, it stemmed from essentially the same source as the quantity objection." (PDF) Item Response Theory and Its General Total Score. Available from: https://www.researchgate.net/publication/337001176_Item_Response_Theory_and_Its_General_Total_Score [accessed Feb 21 2024].

I want to use PINN to solve those theoretical equations in quantitative remote sensing. But what I'm not sure about is whether PINN can solve a series of nested (or serial) physical equations.

Hi,

I am stuck in writing methodology for my dissertation,

My diss is about energy literacy and I would like to use mixed methods with survey and interview.

so my plan is surveying them to know general answers that i would like to get from quantitative, and will use t-test to compare it.

and I am gonna pick one of them from each group made by my hypothesis,

then interview them to know more specific answer from them in detail and I want to use structural equation modeling analysis for this qualitative methods.

is it okay to use different analysis for each different method?

Any help would be previously appreciated.

Please I am doing this project. My qualitative data is THE QUALITY OF HOUSING (looking at the interior, exterior and neighbourhood. While the qualitative data is the housing affordability. Please how can I quantify Housing Quality? And Get their interrelationship?

I am a bit confused with a reviewer's comment.

"If the method for selecting a purposive sample. The selected group is not called the control group but it is called a comparison group."

hi

structured interview could be either closed-ended questions to collect quantitative data or open-ended questions to collect qualitative data

Could I mix closed and open questions in the same questionnaire for a structured interview? any references, and which type of data will be considered?

What is quantitative image analysis?

Basically, I would like to quantitatively detect total bacteria in mice feces. How can I obtain a standard curve to reveal total bacteria quantitatively?

By the way, I have one bacterial species that I grew in a suitable medium, and I obtained a standard curve by making serial dilutions, and I found that bacteria in the DNA whose amount I did not know by substituting it in the Ct equation (obtained from the standard curve). But I don't know how to quantify total bacteria. I would be glad if you help.

Reply in sense of current trends among researchers

How do we change the fluorescence intensity of the confocal microscopy to quantitative result by image J?

The type of mixed method is sequential explanatory. I'm planning to conduct an experiment, and then explore how they experienced the phenomenon through IPA. How many participants would be enough for the quantitative part of the research? And do I have to include every participant during the qualitative part? Could I just select a few? 3-6, maybe?

TOPIC: "Financial Practices Among Nepali American Nonprofits."

Methodology: Mixed - Qualitative and Quantitative.

I am looking to conduct a self-generated survey to collect data. My mentors advised me to hunt for the survey questionnaire set. Can you please advise on what questionnaire would be good to use to collect the DBA research data?

I appreciate your help!

How likely is the qualitative entity of empathy(at least between humans) connected to the quantitative entity of fine tuning, thus connecting the is to the ought? Why? How? My answer: Highly probable because empathy is dictated by vibes which are the most fundamental essence of all being outside of the afterlife(located in the fourth or fifth dimension) which we go to when we die because our souls are eternal.

I want to know quantitatively the number of papers published on how the coronavirus affected tourism.

Hi...when should I use expert interviews in the exploratory stage? specifically, a quantitative expert interview? any reference?

Thank you in advance

I have qualitative data for Managers' Emotional Intelligence (dependent variable) and quantitative data for Employee behaviour and performance (independent variables).

Does short-range order (SRO) reflect the one-bond distances, i.e., 1-2 Å? How do we demarcate the medium- and long-range order?

Dear experts,

Having studied qualitative, quantitative and mixed-method research designs both in my undergraduate and graduate schools, I am more interested in getting to know relevant research designs for a PhD degree, especially for Social science and Humanities. Can anyone recommend some useful books?

Thank you so much.

The study is purely quantitative and intends to look into the relationship between school assessment and external assessment like BECE. The researcher intends to collect from the school authorities the past performance records (scores) of the students. The researcher wants guidance on the type of quantitative study design that would be suitable for the study. Thanks.

There has been an attempt to establish various political, scientific and practical actions and strategies, especially in developed countries, with the aim of promoting the paradigm of active aging. However, initiatives in general tend to refer to the elderly as “research objects” without giving them the importance they deserve as “agents” who participate in research by giving their own vision (own perspective). This gives rise to the possibility of providing opportunities for the elderly to offer their views, which can help them better understand the active aging process.

Can anyone please help me with how I can get the quantitative (mol%) value of any sub-peaks that are part of the main peak, such as N, C, and O?

I'm wondering how can I code in a simple way analyze data quantitatively that has been reported as HH:MM format but its output is text/character (e.g. "09:00AM; "9AM"; "10am")

For my MSC in Occupational Psychology, I am currently working on my dissertation which is about whether workload has an effect on the relationship between work engagement and career commitment. I have started data collection yesterday and with my deadline nearly a month away, I need more participants asap. So if anyone is interested in doing this study, you just need to complete an online questionnaire which will not take longer than 20 minutes.

This is the link to the questionnaire if anyone is interested: https://goldpsych.eu.qualtrics.com/jfe/form/SV_1MQcoQGIzNikoyF

Also, if you can share my questionnaire link to any of your friends, colleagues or family members who you think may be interested in doing this study, then that would be much appreciated as the more participants I have, then the more easier things will be for me.

Thank you!

I am running via ELISA method Dioxins/furans analysis for food matrixes and i would like to ask if there is any PCR technique for quantitative determination.

Thank you in advance,

State and explain the strategies of enquiries for quantitative, qualitative and mix methods researches

To study the relationship between three variables, what are the latest statistical methods to determine the relationship between them?