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Quantitative & Qualitative Research - Science topic
Explore the latest questions and answers in Quantitative & Qualitative Research, and find Quantitative & Qualitative Research experts.
Questions related to Quantitative & Qualitative Research
Hello, I've extracted RNA from A549 cells and I've done nanodrop to determin the RNA concentration. And then I meet the problem. I have no idea about the concentration and the quality of cDNA after doing reverse transcripataion.
I searched some information and know that I can make a stand curve to determin the concentration, but I don't have standard product.
I want to ask is there othre method to the concentration of cDNA with RT-qPCR. I have and idea about using internal control (like TBP), but I'm not very sure about how to connect the Ct value of TBP to the concentration of cDNA.
Hope someone give me advice!
THANK YOU
I came across this idea that I've never heard of in the study of Li et al. (2023), just a brief context, it's a review on the relationship between epistemic trust and developmental psychopathology.
In their section of "Epistemic Trust and Mental Health". Their first few lines prompted my question of using a proxy measure, specifically they examined multiple studies which used a trust subscale as a proxy measure for epistemic trust. Therefore, I'm just wondering how would that work? It sounds like to me there's alot more disadvantages than advantages since you're using a slightly different variable, but of course, I might be very wrong on this so I welcome any new insights.
Ref: Li, E., Campbell, C., Midgley, N., & Luyten, P. (2023). Epistemic trust: a comprehensive review of empirical insights and implications for developmental psychopathology. Research in Psychotherapy, 26(3). https://doi.org/10.4081/ripppo.2023.704
Hello RG Family! In my transition to qualitative research, I’m confronted with the challenge of validating qualitative interviews.
From my knowledge of quantitative research, I’m well aware that Principal Component Analysis and Cronbach’s Alpha methods are popular for validity and reliability of Likert-scaled questionnaires. But in the case of qualitative interviews, the arena is different. That’s why I need your help.
From your wealth of experience with qualitative research, please describe the most effective methods for carrying out validity and reliability of qualitative interviews. And which software is suitable for this procedure?
Your contributions will be immensely appreciated. Thank you.
There's an increasing number of studies on the use of qualitative and mixed methods research in clinical trials but process of translating evidence from clinical trials to practice and policy remains problematic. Just wondering how qualitative and mixed methods could be used more effectively to facilitate translation.
I read an article and was intrigued by their use of discourse analysis + computational methods to track word use associations. Does anyone know suitable primers for computational content analysis? Also, they use QDA Miner-WordStat, but it's only available on PC are there MAC versions available?
I'm hoping to supplement qualitative discourse analysis with content analysis.
there are many statistics software that researchers usually use in their works. In your opinion, which one is better? which one do you offer to start?
Your opinions and experience can help others in particular younger researchers in selection.
Sincerely
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I want to inquire about various methods to prove the contingency perspective in social sciences.
21 items 👉🏼 4 sub-constructs 👉🏼 1 construct
33 items 👉🏼 4 sub-constructs 👉🏼 1 construct
so there are three levels:
lower order 👉🏼 medium order 👉🏼 higher order
The results are significant. But tell me, can we squeeze these 21 and 33 items into above 2 constructs, respectively?
Hi everyone,
I am currently in the process of reviewing feedback responses from my pilot survey (mixed methods with a mixture of closed and open ended questions).
One of the feedback that I have received from many of the respondents was they would like to choose more options in the question that I have asked e.g. Describe the type of service delivery that you provide (please pick up to three).
For this type of question, I don't think forced choice or check all that apply would be appropriate and I am trying to prevent people from satisficing answers for CATA. Most clinicians (targeted population) work with a variety of clients and my goal here is to get them to pick top three that they spent the most time in. I am not looking for them to rank based on my research question but what I am looking for is to see certain relationship e.g. respondents working in the education department seemed to be more confident in x. So basically in my case, all the options provided are of equal standing and what I am just looking for is for them to pick 3.
As mentioned, many of the respondents want to pick more than 3 and I am not sure what number is appropriate. I have tried looking for guidance by reading research articles related to survey designs and nothing relevant seemed to come up.
Basically my question is: does anyone know of any research evidence behind these multiple selection questions (why only three can be chosen) and if there is some formula to decide how many options the respondents should choose based on the number of options provided (e.g. if there are 6 options on the response stem choose only 2, if 12 choose 4 etc? ). If there is an expert in this field that has done specific research in this - please let me know of their names and I will look them up.
Thanks in advance.
Gen
Although the preprints submissions can be interesting to check the repercussions, criticisms and suggestions pointed out, I think that a not very good choice of platform can have limited results. Among the platforms researched, I observed that OSF, Scielo and Elsevier preprints offer a reasonable structure for preprints submissions and analysis. In this sense, I kindly ask for suggestions on which platform may be the most indicated for a preprint submission in the field of social sciences.
I would be so grateful to you if you would help me about some facts regarding the MCC, I would begin my dissertation on MCC, next year-2023. Thank you.
I do not want to analyze the text inside the book I just want to explore the existence of the main components.
From a Critical Discourse Analysis perspective, van Dijk (2015) refers to contextual models as evidence of the interface between the knowledge (mental information) about an event and its significance in the discourse. Thus, the remembrance expressed about a "biographical event" is also a signification of episodic memory. Can we state that contextual models evidence the meaning of memory in discourse?
hello ..
thank you for reading my quistion and i will appreciate any help. i am doing my master dissertation now which i am investigating gender represenatation in textbooks. my method is content analysis and i will collect data which includes genders of poets, scientists, authours, leaders and so on. i also will look at the appearance of each genders in varied areas. the data will be gathered from texts and pictures and i will interpret it (after analising) in charts and diagrams.
my quistion is does this process considered as qualitative or quantitave or mixed methods? and about the data is it qualitative data or quantitative ?
thank you
Fatema
I am an international student and I am studying sociology at McGill University.
I am interested in the sociology of immigration (in particular, immigration in Canada) and have read research papers about this topic. However, I feel I'm stuck generating possible research topics for my final Master's research paper (it will be 30 to 40 pages long).
Does anyone have any exciting immigration study subjects in Canada for a Master's research paper? I am looking for both qualitative and quantitative research topics.
I also would appreciate it if you could introduce any interesting papers about immigration, mainly, in Canada
Hello everyone,
How can I conduct a correlation test between two nominal variable gender and shelter type (5 categories) and other scale variable for example income, travel time, and shelter distance?
My objective is to show the significant correlation among variables.
Thank you.
Hello,
What do you consider to be the best methodological handbooks (covering both quali & quanti) for beginning researchers in the humanities and social sciences?
The views of doctoral students are particularly welcome :)
Many thanks in advance for your help!
Would you please share your kind opinion regarding this issue?
I am in search of methods of quantitative and qualitative estimation of cellulase in a food sample(biological sample)?
My friend and I have arguments about some statistical assumptions. He thinks that if he has 4 constructs, and every construct has 3 variables, for example. To test a mediation analysis, he can take the mean average of these variables, compute it, name the average means, and start the mediation test. My argument is that he has to obtain the latent variable through load factors and make a path structural equation model. is both methodologies right? which is better?
I made the question to check people knowledge and how much aware they are actually of the terms, so I put only two correct questions and the rest is wrong but now I got 200 responses and many responses selected all, some selected wrong and write both(eg: one Right and one wrong). so I have no idea how to analyze. please help
I think we make a mistake when we consider that data are qualitative if they come from applying qualitative methods and techniques or if they are collected in qualitative researches. I think we make the same mistake when we consider quantitative all data collected through, for example, questionnaires.
I think we have to consider the qualitative or quantitative character of data looking exclusively at data. Are they numeric? Are they textual or visual?
I think (as Traian Rotariu argues) that quantitative data are numeric and that qualitative data are textual or visual and that we could gather quantitative and qualitative data with each and every method and technique being it qualitative or quantitative.
For example most of the data gathered with questionnaires are qualitative in their primary form: opinions, gender, preferences etc. and just a few are quantitative in their primary form: income, age, children's number etc.
I often read research articles that do not appropriate describe the sampling procedure. For example, the authors mention that the sampling was accidental or purposive but they don’t explain why they had only 10 participants or they say that the sampling was theoretical and describe the a priori established socio-demographic characteristics of their subjects.
I think that the sampling procedure is one of the most important elements of a research. I think that the research should be evaluated according to this procedure and I think that many pieces of research should be rejected because of sampling not being appropriate.
Please help me to clarify this and correct me if I am wrong:
The sampling procedure should state the sampling criteria and should justify the number of participants.
There are two kinds of sampling in social research: statistical – probability or non-probability (when the sampling criteria and the number of participants are established before entering the field according to some rigid sampling rules) and theoretical (when the sampling criteria and the number of participants are flexible, decided in the research process according to relevancy and saturation rules).
Hello all
One of the most important tasks of a team leader is to define precisely the "priority" of goals.
We need a "questionnaire"? Related previous studies? To measure the priority goals of a team leader.
Thanks for your time.
In the realist methodology (especially by Raymond Pawson et al), the CMOc is a common structure to explain what works, for whom, in what circumstances, and why?
I'm always asked about the criteria that the context and mechanism and outcome are indeed logically linked to form the CMOc? How ensure that there are causal connections between these components? What are your experiences on this? Any suggestions? Thank you.
I'm wondering if anyone can help me? I'm new to this subject and I'm finding it easy to find research regarding white researchers conducting research in 'ethnic minority' communities, but I'm struggling to find research regarding a black researcher conducting research in predominantly white communities.
I'm wanting to know anyone can point me in the right direction regarding research specifically detailing the impact of race with regards to a black researcher conducting research amongst predominantly white participants in a working-class area (that is predominantly white)?
I'm interested in research that has been conducted in the UK though I'm also open to research conducted in other countries.
Data collection is an important step when doing any research or experiment. Data collection can be defined as the process of gathering and processing the information to evaluate the outcomes and use them for the researches. But with the development in methods of collecting data by artificial intelligence , do methods evolve in collecting data for social media.
I have a quantitative dataset that exists of 22 completed answers from a base of 72 respondents. The reason it is this small is because i am questioning why a specific market research bureau experience some "no's" from companies that contacted that market research bureau.
I know that of course companies say no sometimes, but i am looking into why they did this. Also my base only exists of potential clients from 2020 from Denmark, so that is why the base is 72. I would say that the completed answers would still be able to give some insights for the specific Market research bureau, at least for their 2020 clients base.
My Question is about correct analysis of these 22 completed answers; How do i properly handle the answers in descriptive and statistical analysis? There is many tests that are about the validity but those tests makes no sense on a 22 completed basis. I have thought about binary logistic regression in SPSS and maybe some crosstabs and Chi2 but i am afraid of missing out some way to make the best out of the small dataset. Maybe you guys have experience with this?
My main goal is to determine the ethical dilemmas and moral distress experienced by nurses during the pandemic and how does that experiences affect their performance at work.
So, Do I need to follow the theoretical framework of Kohlberg? if yes, how?
Or Is it okay to use the theory of kohlberg AS A GUIDE to help explain the nurses level of moral reasoning that made them perceived the situation as an ethical dilemma or a moral distress.
Thank you. I really appreciate the help and the clarifications.
I am currently planning a research project/Masters dissertation about women perpetrators of the Holocaust, and I am intrested in doing some primary research. I would like to access photographs of SS women and nurses in particular. I would like to explore these frontline perpetrators' dual role as 'ordinary' German women and merciless killers.
Can quality be quantified, if yes, how; if no, why?
Dear all
I would like to consider multiculturalism as an independent variable in a multivariate regression to figure out it’s effect on quality of learning in a big city. Can you advise a good measure way for multiculturalism?
Thanks in advance
Students/participants who always use measurement or numbers in understanding all phenomena may require more effort in convincing them about the importance and processes of qualitative research.
My 5-Likert scale is: (1= strongly disagree, 2= disagree, 3= neutral, 4= agree, and 5= strongly agree)
So: 1 & 2 become category 1, and 3,4,5 become category 2
I am currently working on a systematic review and I am in the quality assessment phase. I am writing this inquiring about the quality assessment tool that I can use to assess non-randomized studies (mainly cohort study and cross-sectional study).
Thank you so much and I highly appreciate your response in advance .
How to measure "Quality tools in Higher education" .?
please suggest some methodology part for this
Hello
I have the following situation: I have a paper X about topic Y. For paper X I did a forward search with Web of Science (checking all new papers which cite paper X). Then I have downloaded all articles I have identified via forward search (approx. 1'000 Papers). Now I would like to sort these papers according to the frequency of specific keywords used.
For example: I have found paper Z via forward search (so paper Z cites paper X which is about topic Y). Now I want to check if paper Z is also concerned about topic Y or if it just refers to it in passing. For that I search for specific keywords which correspond to topic Y. According to the frequency of the specific keywords mentioned in paper X, I want to classify it in the category "relevant" or "not relevant". Now, how can I determine the threshold for the keywords? That is, if paper X only uses the specific keyword once it is most probably not relevant to topic Y. But if it mentions the specific keyword 20 times it is probably relevant for topic Y.
Is there a recognized methodology to determine or approximate a threshold for the keyword frequency which allows to distinguish if a paper is relevant to topic Y or not?
With this approach I hope to reduce the 1'000 papers to those which are about topic Y.
I am currently working on a project which require me to use sequential explanatory research design. I have two groups of learners, A (treatment group) and B (Control group). I plan two have two parts of sequential explanatory research design.
Research Part 1 (Research Part 1 is without intervention for A & B)
Quantitative (Pretest Posttest) -----> Qualitative ----> ( Integration of Quantitative + Qualitative)
Research Part 2 (Research Part 2, A-intervention, B-without intervention)
Quantitative (Pretest Posttest) -----> Qualitative ----> ( Integration of Quantitative + Qualitative)
Thank you.
Hello
I am working on the following: I have 65 exsiting definitions about a concept. From these 65 definition I try to distill a representative definition via coding procedures. Thus, I code each definition to find patterns.
Now I have all definitions coded. And I can see how many times a code is used in the exsisting definitions. For example: code X is present in 20 of the 65 definitions.
As I now want to develop a representative definition (and not one which contain all codes) I would set a cut-off-level. A cut-off-level in the sense of: only codes which are more then e.g. 20 times present in the exsiting definitions will be included in my representative definition.
Now I was wondering, is there a way to determine the cut-off-level statistically?
I am in my Third Year (Junior Year) of my undergraduate degree of Management Science in LUMS , Pakistan. I am new on Research gate, and I want to peruse my career in academics and research in area of Business analytics, in fact I have done some projects and experimental findings in this area. That Online affiliation which can be helpful for me for getting admission in Grad School in couple of years. I need suggestions of experts in this area of interest.
I am conducting a research to investigate the ergonomic risk factors among workers in a manufacturing company. I want to know if it is enough to have a sample size below 20 respondents? Is there any minimum or maximum criteria for mix: qualitative & quantitative method research?
Hello! I am looking for assistance with a quantitative textual analysis. Below, I've created an small sample of what our current data (conversation between two participants) looks like.
Partner A:
Hello how are you?
Partner B:
Hey, Im good thank hbu?
Partner A:
Im good, What year are you in?
Partner B:
Im in forth year.
Ideally, we are looking for a line of code or a software that could take these log files and split them into two separate word documents or text files, with all of Partner A's comments in one file and all of Partner B's comments in another. Currently, we are manually splitting files, by copying and pasting them into the separated word documents, however, this is time consuming.
Additional Info: The two separated files of each conversation we have collected will be processed through Linguistic Inquiry Word Count (LIWC).
Thank you in advance.
My research topic is related to cultural tourism in a known and unknown heritage centers. The already known heritage sites are known and there are also unknown. I will use both qualitative and quantitative research approach where the qualitative one will be mainly use FGD, Participant observation, case study and interview (mainly to respondents around the sites and institution). For the quantitative approach both domestic and international tourists will be the target population. However, they are unknown. Which formula is helpful for this type of study?
I will appreciate if you also drop me your ideas to hagosg@gmail.com
Thank you!!
Let say if I would like to study the (regression) relationship between Corporate Governance and Cost of Debt.
WHAT quantitative software should I employ to test it and WHY should I use the suggested software as I heard about SPSS, Smart-PLS and EView?
Thanks for advice in advance.
Opinions on the differences between qualitative and quantitative research approaches?
I am doing a risk management study while collecting both quantitative data and qualitative data via one instrument-interview. This one interview instrument contains qualitative data analysing from content analysis and quantitative data by asking participants to assess risk directly. As risk management includes risk assessment and proposing risk mitigation strategies, qualitative data intends to answer research question related to risk mitigation strategies, while quantitative data aims to solve research question regarding to risk assessment.
The problem is that I am confused about whether this instrument should be regarded as convergent mixed methods or embedded mixed method.
With only one instrument, can it be treated as convergent mixed methods?
Or if this is an embedded mixed method, neither the quantitative data nor the qualitative data can be regarded as supplement data to the other. In the other way, it is difficult to say one research question is more important than the other as qualitative data and quantitative data aims to solve different research questions. As they are of equal importance, this research method does not seem that it belongs to embedded mixed method.
Does anyone know this kind of risk management with one instrument is suitable to which kind of mixed methods?
Looking forward to your kindly answers.
I will use quantitative and qualitative research simultaneously to design a research in which I give equal importance to both. How should I determine the sample size? How many people? For example, in a quantitative study with 350 people, with whom of 350 people at the same time? according to what? v should I do qualitative work with other people?
Is it right or ideal to use only research questions in a triangulation method - i.e. qualitative and quantitative research?
Currently, I am writing a research on the impact of the interaction between information systems and Knowledge management on improving quality . Can anyone help me with a questionnaire, model or whatever. Thanks in advance.
In my questionnaire:
I have asked, " How frequently a certain topic is taught?"
A 4 point Likert scale was developed for the response where following values were assigned to each response:
Never: 1, Rarely :2, Often: 3, Always :4
Recently I have been told that for Never one should assign the value 0, as it's value should not be reflected in the final result.
To what extent it is correct.
P.S: With Value 1 to Never, my results look more logical than value 0
I'm new to conducting research and was wondering if anybody could enlighten me on what methodology would best suit my topic.
My thesis is about The influence of public outrage on media coverage of rape cases in Morocco.
On the one hand, I would like to analyze the impact of public outrage on social media, and on the other hand, analyze the impact of public outrage on the press (I've narrowed my sample to two newspapers).
Subsequently, I intended on comparing both points.
I've thought of a quantitative methodology with a correlational approach or a causal-comparative approach. However, statistics regarding any focal point of my research are non-existent.
Therefore, I decided to adopt a qualitative methodology instead, using a simple case study while trying to reformulate my hypothesis since it does not require statistics.
Any advice will be immensely appreciated.
So I do both quant and qual research, but am rarely asked during a R&R to 'show my work' for quant pieces. However, almost all qualitative pieces that I receive a R&R have at least one reviewer who insists on frequency counts or quantitative evidence that my coding is legit. For this question please state your field, what you were asked to provide, and how the suggestion was clearly a misunderstanding of how qual research functions in your field.
I can't wait to hear your responses!
Yours in qualitative frustration,
Andrea
I am about setting up a research design for my PhD thesis. The main topic will be sustainability innovation in companies. For the empirical research part I will use a data set consisting of corporate sustainabiliy publications such as annual reports, csr reports etc. and do a content analysis.
I am still a bit uncertain wether this qualifies as qualitative content/data analysis or quantitative content/data analysis. I would appreciate your feedback on the following questions:
- Would you classify the corporate sustainability publications as qualitative or quantitative data sources?
- Does software such as Maxqda, Atlas.ti or NVivo support a quantitative concent analysis as well?
Thanks for your input.
"The difficulty of measuring attitudes, character, and personality traits lies in the procedure for transferring these qualities into a quantitative measure for data analysis purposes."
"The recent popularity of qualitative research techniques has relieved some of the burden associated with the dilemma; however, many social scientists still rely on quantitative measures of attitudes, character, and personality traits."
How do I know the effective kinds of research techniques(qualitative or quantitative) to analyze Likert item questions?
Any Help is Appreciated
Hello,
I am trying to run tests on SPSS for an dependent variable which is a an interval and independent variable which is nominal. Can anyone give me some suggestions and how to do it?
Thanks.
Dear friends and researchers,
I just started my PhD journey as a new phd student, so I am preparing my proposal doc, My phd thesis in communication studies, specifically in health communication. I will investigate the role of mediated communication such as Twitter or Facebook in public health issues. I will focus on immunizations. Anti-vaccination groups make some campaigns and post many messages and posts about the risk of vaccines through social media, while the health authorities attempt to fight these movements and educate people about the importance of vaccination. I will examine the impact of public health messages of childhood vaccination on parental attitudes toward vaccinating their child. The mediated communications which address a common health concern among parents will be the focus, and I will apply my study to two different countries: Saudi Arabia and Australia.
My Question that I need your help with is: Do you think its better to do that through using Quantitative or Qualitative method by choosing a case study such as "Measles Vaccine issue" as a case study in both KSA & AUS, and use two 2 tools to collect our data (questionnaire+interview) Or (content analysis+text analysis) or (questionnaire+content analysis) that' may help to manage the research later, rather than using mixed method that needs to build questionnaires and survey for both country, which needs harder effort?
Best Regards,
Most of the people think that purposive sampling is only applicable for qualitative research !!! Please share your opinions....
Hi All.
I am conducting a study on occupational stress management. I have been advised to use Interpretative Phenomenological Analysis to do this but I have mixed feelings about it. While IPA explores respondents' lived experiences and they way make sense of phenomena, is it still a suitable method to analyse people's occupational stresses and their coping mechanisms?
Thanks,
Marta
Mixed methods research is a methodology for conducting research that involves collecting, analysing and integrating quantitative and qualitative research.
I think that I belong to qualitative paradigm. However, I can’t deny the attractiveness of quantitative approach in terms of labour effectiveness and the number of participants I can collect data from (through an online survey, for example). Research methods books often mention the incompatibility of quantitative and qualitative research like ‘water and petrol’ in terms of research philosophy. Are they really ‘water and petrol’?
Can anyone suggest me tools or a model to apply in doing a linguistic critical discourse analysis of newspapers?
Thank you very much indeed.
Their particular difference in terms of GMP.
I am working on a project in which I have to use different psychometric scale (Pro environment behavior) items developed and validated by different authors.
As I know, this process is called adapting , which is different from adopting or developing a scale. And also, I have to again perform the reliability and validity test.
I want to ask that what are other procedures which I have to follow.
What are the things which I have to do after preparing the questionnaire and pilot survey.
Can you suggest me some readings on this topic so that I have some theoretical understanding of the process?
Thanking You,
Pawan Kumar
Dear Colleagues/Friends,
I’m conducting and informal survey on multidisciplinary research. This stems from a keynote paper I delivered at the international conference on advanced multidisciplinary studies (ICAMR). If you have time, your input is extremely valuable and highly appreciated. The intention is to fix problems and provide a qualitative and quantitative summary of benefits, problems, recommendations and solutions.
Conference Paper Advanced Multidisciplinary Studies: History, Problems, Solut...
The basic questions I pose:
1. Pros/Benefits/Advantages:
2. Cons/Detriments/Disadvantages:
3. Problems/Roadblocks:
4. Recommendations/Solutions:
5. Examples (should you have time):
Personally, I am a very strong advocate of team-based applied multidisciplinary research across hard (natural) sciences, soft (social) sciences, and humanities. I have been involved with a wide spectrum of international multidisciplinary projects for 30 years. I understand tradeoffs while insisting on fair stakeholder identification, engagement, inclusion, and benefits across the board. I firmly believe that’s the ultimate goal for most of us.
Despite lip service claiming to welcome and promote multidisciplinary research, I find many roadblocks remain unnecessarily common, counter-productive and sometimes insurmountable – especially between stove-piped disciplines and their administrations at multiple scales: for example, 1) among practitioners, 2) within institutions (private, public, government, academic, corporate, think tanks, universities, international organizations, NGOs, grass roots organizations, religious institutions, etc.), 3) among multiple institutions, and 4) among multiple countries and their institutions at the international scale. Some are expected and unavoidable. I get it. It’s part of the necessary aspects of the administrative process, etc. However, there must be solutions for many other common issues and ways that many processes can be streamlined. Again, the intention of this survey is to fix problems and provide a qualitative and quantitative study on the benefits and problems with a summary of recommendations and solutions.
Thank you in advance for your considerations and cooperation.
Yours sincerely and best regards,
DKL
My study is based on skilled returnee to their home country and there are two types of them , one came home country with the job offered by government and other find job on their own after return to home country. Choice of coming back is ranked on the scale of 1-10 .
question that i need to find answer for my project is that
Do returnee with govt fellow and non fellow differ significantly on choice of reason of returning to home country ?
Should i use Mann-Whitney test or kruskal wallis test?
Thanks
Hi all.. was wondering if anyone is aware of any online sources or books which gives an overview of social pharmacy methods. I am thinking of an overview of anything stretching from:
1) Which methods are available (quan or qual)
-2) How to determine which quality appraisal tools to use (dependent on methods)
3) Internal and external validity (again dependent on methods)
4) How to analyse findings (economic calculations, statistic etc)
// Sara
I have conducted a study and distributed a questionnaire to students and found that they are less motivated to study English.
I decided to do an interview asking the reason behind that from teachers' point of view.
so, How many interviewees are needed for my study?
Thank you!
I have conducted a quantitative and qualitative research for a research question, i.e. Challenges of KS & R within Oil & Gas sector of Pakistan. Results obtained from both the methods are complementing each other. What triangulation type is it referring to? And how can i justify & prove data triangulation? Please share any sample study for example? Thanks alot.
Typically, researchers look for evidence of content validity, criterion-related validity and construct validity when assessing the validity of a study. If one uses existing scales from existing studies, do you still need to test for content validity? Other than getting judges, could content validity be conducted using SPSS or AMOS? If yes, how?
Dear members,
I have a set of ten statements about opinions of benefits of foreign education upon return to home country on scale of 1-5 ( strongly agree to strongly disagree) . It is not developed using Likert scale/ factor analysis method. Given that would my statements be ordinal in nature? And what would method to combine them together as one index of showing benefits of foreign education. And in second case , will the index can be as scale measurement and use t- test.
Thanks in advance
Best regards
How to determine the justification of sample size in Qualitative and Quantitative Research?
How can you know that the research sample size have been justified?
Which techniques do you reccomend for quantitative term mapping? We are conducting a literature review to disambiguate a group of closely related technical words in education. Or aim is to provide a clear definition for each of them, as based on the mainstream use among researchers in the field. We were thinking on a quantitative analysis which helped us conducting kind of a cluster analysis of the most often alluded meanings under each term. Can you reccomend something?
Thanks!
My work is to explore the occupational choice of skilled returnees to India.whereby will associate there occupational choice upon return to age, educational qualification and type of visa held, with perception based questions about benefits of foreign education and work upon return to the home country. Should I include occupational choice of non-migrant ( those who have never been to abroad) in the analysis as well. if yes, how to analysis/ include non-migrant as control variable in my work?
Thanks