Questions related to Quantitative Research
In addition when population is small for example 120 and we wanted to employ quantitative research then which procedure is appropriate to extract sample.
I am also looking for guidebooks, or any reference articles as a starting point in doing the discourse analysis.
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
I am doing quantitative research into motivations (6 types) and values (4 types) for circular use of materials (10 types). So motivations and values are independent variables and circular use dependent variable. Also I have a moderating variable, homeownership (4 types).
I am using SPSS.
What kind of analysis should I run? I was thinking of GLM multivariate, but how to incorporate the moderating effect?
Knowing that variables normally examine in quantitative research, shall we use the term 'variables' in qualitative research as well? or better to use the term "concepts"?
Is any body interested to be a co-author for this title article? I need some friend who knows quantitative research and systematic literature review. I would appreciate if anyone are interested. Please kindly email me at email@example.com.
Is it permissible to write the researcher’s opinion in the discussion part of the quantitative research results..
Please participate in the response, mentioning the scientific certificate obtained and the place of work in any educational institution.
I feel that most of the research on the digital marketing skills gap is qualitative (interview) research. I am looking for papers on quantitative research. Best,
I would be interested in what you see as the advantages and disadvantages of mixed-methods research in the social sciences. Do you do research with a mixture or combination of e.g. qualitative and quantitative research? Do you combine different quantitative or qualitative methods?
What challenges do you face (e.g., sampling, implementation, scope) and where do you see the limitations of the combination?
In an Exploratory Sequential Mixed Method Research, I have done qualitative research in stage 1.
I found some new construct, and discover linkage between the new found construct and the constructs under study. After that, based on the findings of qualitative research, I proposed a conceptual framework and I was able to offer some hypothesis.
After that I empirically verified few hypothesis by conducting a Quantitative research.
Now the thesis reviewer criticized that in Literature Review, I should discuss the conceptual framework and the relationships (proposed in the hypothesis). But I found that relationships after I concluded my qualitative research. How should I supposed to know them when I was writing the Literature review.
Please, someone guide me, where I am wrong.
Someone, please guide me, how to write literature review for Mixed method Research.
I have conducted a survey whereby I am looking at the differences in attitudes between university students and non-university students. I am now beginning to analyse the data but I'm not sure if I should have had a hypothesis and if it is necessary for analysing the data?
I am conducting a research to assess whether or not skin tone influences the perception of facial attractiveness in people. I need help with the quantitative research instruments I can use.
We have a quantitative research study title of "The Effects of the COVID-19 Pandemic on the Online Purchasing Behavior of Senior High School Students".
In this study, our goal is to determine the effects as well as certain factors that make up for the changes in online purchasing behavior due to the COVID-19 pandemic on senior high school students.
What I would like to ask is what would our quantitative research design would be: descriptive, correlational, ex post facto, quasi-experimental, or experimental?
I would appreciate your thoughts and suggestions, thank you.
I am a University student seeking support on the kind of research topic related to MBA -HROD for Hotel Industry. I am also looking for someone whom I can collaborate and can be my co-author of my study.
I'm doing a research targeting primigravida teenage childbearing mothers in terms of knowing their coping strategies to correlate it with their demographic profile. I have also created a specific criteria regarding the respondents I am aiming for.
I have two study areas with the same characteristics same objectives. My target population is urban communities that visit the urban parks. In my study, these two urban parks suit my research scope.
What should be my sample size? For example, do I need to have the same sample size for both study areas etc.?
I am writing my thesis about stances and attitudes of mathematicians, regarding the use and utilization of Historical notes in secondary education mathematics school textbooks, in their teaching practices
This is for a PhD-level Quantitative Research class, and I am confused over what test to run on the G*Power software.
It has to be an a priori, but would it be bivariate normal modal, multiple regression, t-test, etc...)
Do I need to determine the variables that will be measured, (depression, anxiety, obesity, etc...) before doing the test?
I am writing a quantitative paper with some colleagues based on cluster analysis. The questionnaire had two open-ended questions and some of the quotes left by participants capture really well the "spirit" of each cluster.
However, I am not sure how to write about this in the methodology section, because it's not as if we've done a thematic or content analysis of all the quotes (well, we could do that, though our focus in the paper really is the quantitative part). Any ideas of we should frame this use of quotes in the methodology section? Should we just write that we included some quotes to better illustrate each cluster? Or would that not be acceptable in a top-tier tourism journal? Thank you in advance!
We are currently doing correlational research (quantitative) about the gaming habits and academic performance of grade 6 pupils in just one school, that only consists of 150 grade 6 pupils. And we estimated that out of 150 only 35 pupils are only playing online games. Originally our research is about qualitative research. But our panelists suggested that we better conduct quantitative research.
We are not good at conducting quantitative research.
I use eviews and SPSS for my research processing software. But which is the best among stata, eviews, SPSS, minitab, SEM, lisrel, ect.
Let us suppose that you do a SLR on topic A, and you do another SLR on topic B, and you'd like to bridge your findings, and try to relate the two to deduce conclusions? what are some available qualitative and quantitative research methodologies available for this ?
I've been asked to give feedback on a study that used a survey with the option for comments in each question. Some participants decided to share additional observations and thoughts for some questions. I've found that these additional comments carry rich qualitative data so I'm suggesting they analyze them and integrate them into the results (since they're currently not).
However, I'm not sure how to justify this methodologically (or even if it's appropriate). Even though these comments add insightful information about the participant's perceptions, they only account for a portion of them.
Options I'm currently considering:
(1) Use a common theme analysis for the qualitative data and relabel the study from quantitative to mixed-methods.
(2) Still define it as quantitative, but mention that some qualitative data was gathered as optional comments and analysed as well (would this be methodologically correct?).
(3) Do not use the qualitative data for the results, since it doesn't come from all participants.
Thank you very much in advance!
Hello dear fellow researchers. I am conducting a quantitative study (exploring causality between the dependent and independent variables) in which I have provided a theoretical framework informed by SLA research. Should a hypothsis (based on theory to account for any causality claims) be stated or would it be better to dispense with the theoretical framework at all if no hypothesis is stated? Advise please.
My dissertation is on analysing particular processes/technology for the specific field and my suggestions for improvement.
- What are the challenges if my study uses a descriptive research approach through a narrative review using thematic analysis?
- Does it come under a theoretical or conceptual framework?
- Any suggestion on alternative research methods that can be done in a short time?
N.B. I am new to research and sorry if I mentioned anything wrong.
Can you please, write some SSCI, SCI, and ESCI indexed journals which also CHARGE for publication? Number of issue per year and publication charges does not matter.
I really appreciate your suggestions.
I'm fairly novice in statistical inference and hypothesis testing and I have a basic understanding of regression models. I'm working on my first quantitative research in organizational behavior. My research model consists of 4 variables of interest and 3 hypotheses. Suppose we have the following:
H1: increase in X has a negative effect on Y
H2: Y and Z are correlated
H3: W moderates the negative effect of X on Y and therefore Z
Suppose I gather sufficient quantitative data for each of these variables for each subject. How do I formulate each of these hypotheses to test with statistical models? More broadly, what should I be learning to understand how to design and conduct a test for each of the hypotheses.
Do you recommend any straightforward topic or material so I can focus on learning the vital concepts? Most books and online courses tend to cover everything which means it would take a lot of time for me to just know which and which I should have studied and used.
Any advice would be really appreciated
I am planning to conduct a larger study in a male-dominated/masculine work environment. It will be a survey with several instruments to conduct quantitative research. May I ask for recommendations on surveys about gender equality, attitudes, violence etc.
How am I going to highlight, that i have used the post positivism approach of philosophy in a quantitative based research related to Human resource?(i.e Literature? Methods? Hypothesis? Testing? Framework?) Means What sort of areas i will have to look to highlight, that this is the post positivism approach?
I'm currenlty writing my bachelor's thesis about the impacts of COVID-19 on the hotel sector in Germany, with the goal of developing a training manual for hotel management and entrepreneurs on how to cope with future pandemics.
One of my sub RQs is: What is the correlation between hotels responses to the pandemic and their occupancy rates?
How can I answer that questions if the hotels responses are based on qualitative data (interviews about entrepreneurial behaviour, e.g. one hotel said that in order to cope with the pandemic they increased their social media presence and improved their online appearance) and the occupancy rates are quantitative data?
Basically, my goal is to support my recommendations - which will be a training manual for hotel management and entrepreneurs on how to cope with future pandemics - by saying Hotel A did this and their occupancy rate increased (I'm obviously aware that correlation doesn't mean causation and this will also be one of the major limitations of my research, only using one hotel KPI).
For my dissertation, I asked my participant to estimate the weekly income of different occupations. As I did not provide a predetermined set or income range, I would assume that these open-ended questions as the participants could give any answer that came to their mind.
I am going to use the means for each occupation and see whether participant's social class or participant age has an effect on their income estimates (two-way ANOVA). For my method section I am trying to explain what types of questions I used but after doing some research, I am very unsure if I can use open-ended questions for quantitative analysis like that.
Hope anyone has advice for me :)
Thanks a lot,
I need to do healthcare providers' compliance to the standard performance with observation, but difficult to get a reference for sample size determination.
I am new in the research field. I haven't done any research yet before.
I am trying to do quantitative research on "Facebook addiction and its impact on academic performance". I have declared the variable (i think these are independent variables) for measuring addiction are:
- Mood modification (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
- Tolerance (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
- Withdrawl (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
- Conflicts (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
- Relapse (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
- Salience (5 Questions with 5 point Likert Scale -Strongly disagree to Strongly Agree)
(i have declared facebook addiction as a dependent variable (am I correct? please give a suggestion about this) )
- And for academic performance, I have used 5 questions related to academic performance.
Some other information like age, qualification, marital status, gender, type of study, total spend time on Facebook per day, use of Facebook(for what?), time of usage (morning to night).
So, I am confused about which statistical analysis I need to choose. I want the suggestion about which tools I need to choose and how to complete my research? Please suggest to me the process of completing my research. I
I need the latest recommendations for using Krejcie and Morgan's (1970) formula.
Thanks a lot for taking the time to read and respond to my question.
For my quantitative research on VR and regional journalism i measure the impact of Virtual Reality on presence, narrative understanding/recall, interest, enjoyment and news follow-up.
For (news) follow-up I have not yet found an appropriate measurement tool on a 5 or 7 point lIkert scale.
Is there anyone among you with a good suggestion?
The quantitative descriptive study is supposed to cover 60-100 target participants however due to the pandemic the research locale had been provincewide instead of regionwide. It only yielded 20 respondents. Would you recommend that the study be continued as statistical treatment had been used as planned?
Since epistemology is concerned with what is knowledge and how knowledge is acquired. My question is, how does epistemology guide research? For example, if I want to do a mixed-method combine qualitative and quantitative research, how does epistemology guide the research?
Thank you for your answers.
What are the emerging areas of HRM or OB ,you have found during your studies? I am planning to conduct a quantitative research for my BSc degree. Since this is my first experience, can anyone help me with suggestions?
This construct - government support - is used as one of the variable in a quantitative research that seeks to investigate the construct as one of the multiple mediating varibale in a model
One expert says, a quantitative research is more "scientist" than a qualitative. In opposite way, off course some experts say that a qualitative more comprehensive compare to quantitative ?
Other expert says, okay we can use both approach.
Base on your knowledge and experience, which much better and useful?
Give me your opinion and evidence.
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).
I am Asian and I wanted to study Western Film because the subject that I want to study about is not being covered in local films.
It's a quantitative research and I am planning to use Semiotic Theory to frame my research. But is it possible to do so? because from my understanding, if to use Semiotic Theory, we need to have full understanding on that culture if we want to study about them.
How would you defend that your quantitative research results are representing the population even though you're using non-probability sampling? (which not everyone has the same opportunity to be used as a sample)
Please correct me if i'm wrong. Thank you!!
Hello! I do regression analysis. I have predictor variables related to schools and students. For the output(dependent) variable Y I have marks of students for the specialized exam that they had in each year until 9th grade. So I have 9 output variables (they are the exam results of students in each grade). Can I make one predictor(dependent) variable out of those 9? If yes, how can I do this? Could you please give your recommendations)
Hi, can anyone recommend some textbooks on quantitative research in social sciences? I have the following three. Any one of them your favorite? Any others?
Doing Quantitative Research in the Social Sciences: An Integrated Approach to Research Design, Measurement and Statistics
by Thomas R. Black
Quantitative Research Methods: From Theory To Publication 1st Edition
by Dr. Nicholas Harkiolakis (Author)
Quantitative and Statistical Research Methods: From Hypothesis to Results
by William E. Martin (Author), Krista D. Bridgmon (Author)
I am currently conducting research and using a survey which contains 2 parts, 10 closed ended (Yes/No, multiple choice) questions and 5 open ended (opinions, follow on comments). Not all participants are required to complete the 5 open ended questions. I am aware that I am only using one research method so would assume this is primarily classed as quantitative research. However, after some reading, if my analyse on both sets of data collected are analysed separately (as quantitative data and qualitative) then combined/ compared, would this be classed as a mixed method?
15 Likert Scale Questions on a 5 Point Scale
Each Question can be grouped into 6 different industries or into 4 different groups.
Looking to analyze on an industry level and group level.
What methods are best ?
Looking to analyze on an individual question basis as well as a group level.
Im a beginner when it comes to qualitative research so any links that can help me find my way around the methods will help as well.
I am currently completing my dissertation on the the impact of salary expenditure on club performance using a quantitative research design.
I have used a simple linear regression with my predictor variable as Salary to Revenue ratio and my dependent variable as Revenue. Is this allowed, or does it violate the assumption of independence because the variables inherently use the same measures, i.e. revenue, and therefore are effectively related?
Appreciate any help and advice.
Hello, I'm a student at the Cooperative University of Colombia, I'm initiating an investigation about the contributions of qualitative and quantitative research in the teacher training process. Could you recommend me study material about that (studies, books, essays)?
In order to measure research engagement of academicians, will it be wise to use the JES (Job engagement scale) by Rich et al. (2010) with modifications in words like (Research activities instead of Job)?
Adding a file for reference.
While I was a referee, I came across a study where 50 theses were examined according to their subjects, years and methods. I have done a similar preliminary study in the previous periods. However, I am still not sure about his method. Some consider it as a descriptive method, some call it qualitative research case study, some say quantitative research screening? Which one is more suitable?
some institutes are awarding PhD as a student publish a review paper in some journal. is it appropriate at this level rather they should be encouraged to publish quantitative research paper?
I have three papers for a review and I would like to seek some guidance on the epistemological positions.
I believe the first two are of a realist ontology with a positivism epidemiology however the third paper is a mixed methods paper and at this point I find it hard to distinguish am I right in assuming this paper is critical realism with an interpritivism epistemology .
The other two papers are based on quantitative research with hypothesise and findings looking to prove these hypothesise based on literature. The mixed methods is below
Hi Colleagues- What do you think about the following methodological issues:
1. Is it methodologically wrong to formulate quantitative research questionnaire based on inductive reasoning?
2. Is it mandatory to test hypothesis and/or theory in quantitative research? if no -what are the justifications? (please suggest an example of exemption)
Thanks in advance
Hope you are staying safe and sound.
I`m conducting a quantitative research in my PhD to test and validate a conceptual framework that has been developed based on the data from 26 interviews. I`m struggling with finding participants to fill the survey for the quantitative phase of my PhD as the inclusion criteria are too specific and narrow. I`m looking for social entrepreneurs who are either Co/founder, CEO, or managing director of social enterprises in Australia and use online communities related to their enterprise. I know that generally, it is said that I need to find at least 100 and preferably 150 participants for the quantitative research, however, it is a very difficult and challenging task for me to reach these numbers considering my limited time and resources.
I would appreciate if you could let me know how I can justify a sample size with between 50-70 participants and whether it is justifiable or not in a mixed-method research, in which interviews are the main data collection tool.
Thank you in advance for your assistance.
In our research our title includes the impact of academic anxiety on academic performance. This one is a quantitative research. Our data is numeric.
Can someone suggest what can be the research design in this research given the fact that we are looking for the correlation coefficient and the regression coefficient...
For non-natives, a manuscript is often rejected based on the reason that idea is not presented clearly. Please ask a native colleague to proofread it.
There is no offense to say that I am non-native and have been facing rejections for the same reason. Concerning this, please guide me 1): how do you ask someone from the same field to modify/proofread your manuscript? 2): how do you develop trust in that person? 3): if one agrees to proofread and modify, which rank he/she deserves on the authors' list? And 4): is it okay to approach a full professor to do this task?
Looking forward to answers and guidelines by experts
Note: I have a complete manuscript that requires a native speaker to work on it.
Details; quantitative research, time-lagged cross-sectional design, emotional labor, organizational behaviors, individual-level data, and bank employees.
Researchers are often in a dilemma: Which of research method, quantitative or qualitative, is better. Also, many of them argue the two terms can be used interchangeably. Qualitative research is explanatory and it is used to uncover trends in opinions. Quantitative research is used to quantify the issue by data which can be transformed into usable statistics. Do you feel qualitative research is better than quantitative research in predicting human behaviour in areas such as organisation behaviour ?
I am doing research into sexual harassment incidents among hotel employees. I will use quantitative research by using questionnaires and qualitative research by doing interviews. However, I am not sure which sampling method I should use for quantitative questionnaires.
I am thinking of simple sampling method or stratified sampling (both probability sampling since every person who is currently working in a hotel has an equal chance to participate in this questionnaire). However, probably more women have experienced sexual harassment. Therefore, I thought a stratisfied would be more reliable to use. however, I am curious of what you think.
I will use purposive sampling for the interviews since I would like to conduct interviews with only hotel en hr managers, to compare their perspectives with those of hotel employees
I would like to study the effectiveness of counterterrorism strategies and I would like to know whether there is any quantitative and empirical method to do it.
I have observed two types of questionnaires in quantitative research.
First are Unidimensional and the second lack unidimentionality.
Questionnaire having Unidimensionality are passed through factor analysis to reach the status of scale such as effective leadership scale, but, is this a good practice to apply factor analysis when the questionnaire is not based on unidimentionale sub-variables such as leadership style (authoritative, democratic etc).
I am currently doing quantitative research that measures the impact of medical misinformation on the self-medication habits of millennials. It ha 2 independent variables which is the medical misinformation and the age bracket while my dependent is the self-medication habits.
My questionnaire are composed mostly of a Likert scale that measure the respondents exposure to a certain information that is answerable by always, sometime never.I also have another 5- point one that measure patients perception with agree, neutral,disagree type.
In this research I like to find out if exposure can impact their perception and incur change to their habit.
I'm currently confused on what test should I do
Good day everyone. Regarding my question above, may i know how we can validate a WTP questionnaire in a quantitative research? The WTP questionnaire involve an open - ended question and some are choices questions.
If there is any experts here who has gone through the process, may i request if you could share your experiences here?
I am doing a qualitative research with interview as primary data and using thematic analysis. This is my first time doing investigator triangulation. I plan to code the transcriptions independently then compare the results afterward. However, I predict there will be some differences in results from each of the coders. How I resolve this? and which data should I use? in quantitative research, we can say the validity is for example 0.7. How can we say the validity in qualitative research?