Science topic

# Quantitative Methodology - Science topic

Explore the latest questions and answers in Quantitative Methodology, and find Quantitative Methodology experts.

Questions related to Quantitative Methodology

I'm currently looking for a recommendation for a live (offline) quantitative methodology courses/workshops in Europe, scheduled until the end of February 2022. Online course/workshop is acceptable only if you would highly recommend it.

Please be so kind to share your thoughts/experiences.

Thank you.

If I use 320 sample size using a purposive sampling technique, how can validate the sample size for generalizing results? Are 320 responses could be statistically sufficient to generalize the results?

How can I validate a questionnaire for a small sample of hospitals' senior executive managers?

Hello everyone

-I performed a systematic review for the strategic KPIs that are most used and important worldwide.

-Then, I developed a questionnaire in which I asked the senior managers at 15 hospitals to rate these items based on their importance and their performance at that hospital on a scale of 0-10 (Quantitative data).

-The sample size is 30 because the population is small (however, it is an important one to my research).

-How can I perform construct validation for the items which are 46 items, especially that EFA and CFA will not be suitable for such a small sample.

-These 45 items can be classified into 6 components based on literature (such as the financial, the managerial, the customer, etc..)

-Bootstrapping in validation was not recommended.

-I found a good article with a close idea but they only performed face and content validity:

Ravaghi H, Heidarpour P, Mohseni M, Rafiei S. Senior managers’ viewpoints toward challenges of implementing clinical governance: a national study in Iran. International Journal of Health Policy and Management 2013; 1: 295–299.

-Do you recommend using EFA for each component separately which will contain around 5- 9 items to consider each as a separate scale and to define its sub-components (i tried this option and it gave good results and sample adequacy), but am not sure if this is acceptable to do. If you can think of other options I will be thankful if you can enlighten me.

Dear colleagues,

I am preparing questionnaires for online admission with a population of the final grades of elementary and second grades of high schools.

In the research design, I have a student questionnaire and parent questionnaire.

I am planning to use Google Forms as a platform for data collection.

My question is this: Which would be the best way to anonymously connect data from student and parent questionnaires?

Ivan

Greeting to fellow researchers and seniors,

There has been a popular phenomenon (i.e let's call it construct A) that has several identifying ‘hallmark’ components, and is uniquely associated with sexual abuse survivors.

I would like to verify that the components can indeed stand as a construct, and that these components are indeed a unique phenomenon among sexual abuse survivors, more than other typologies.

Previously, I have carried out Structural Equation Modelling (SEM) and regression investigating risk factors, correlates, etc. I would like to use a different approach on this phenomenon. If needed, I also have the 'raw' data on potential risk factors, correlates, etc.

a) What statistical approach do you recommend me to use? All variables are continuous, but categorization is also possible. Is Latent Profile Analysis (LPA) appropriate here, given we would like to assess typologies based on several latent continuous variables? I intend to use LPA to examine the determined typologies and assess whether the phenomenon (to facilitate our discussions, we shall name it construct A) is more pronounced in the group with sexual violence than on the other groups.

Or are another statistical methods more appropriate (including SEM, Factor Analysis, etc)?

b) For Latent Profile Analysis, is it possible to use Mplus? Otherwise, what applications are recommended for this purpose?

Thank you. Looking forward to your replies.

Warmest Regards

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.

Hi there,

I have a confusion regarding the appropriate test I should choose to study media consumption pattern between two populations.

I would like to compare people from Punjab and Kerala in terms of their reliance on newspapers for COVID-19 related information.

One variable is state and it has two options.

- Kerala
- Punjab

The second variable is a rating on a 1 to 5 agreement scale for the following statement. The statement is "I read newspaper to get COVID-19 related information"

I think I could use Chi-square test for homogeneity or Chi-square test for association.

But there is a problem. The distribution of the Age of respondents is very different in the samples from Kerala and Punjab. The sample from Kerala is mostly young. So, I think this may create a problem in the analysis. The difference in the sample may be actually due to Age not the difference in State. But we are not sure.

In this case, is it appropriate to perform an ordinal logistic regression with both Age and State as predictors and Rating as the dependent variable?

Or should I just do the chi-square test by ignoring Age?

Or is there a better way to solve this issue?

Thanks in advance.

NB:

Sampling: The questionnaire was created using Google Form and the link was distributed through various social media groups.

When conducting a comparative study that is quantitative in nature, how does one decide which statistical test would be best suited for the research?

For example, if comparing success rates at passing certification exams for students attending online programs vs students attending traditional in-person programs, which statistical test would be best? How do you come to the conclusion of which one is more fitting than others?

If I want to collect data from the respondents using online survey then what should I need to do to get better responses.

If we collect data through online survey (i.e. survey monkey, google form & etc.) then what should we called for sampling method? What are the sampling methods can be used for collecting data through online survey?

Dear community,

I would like to combine two subscales of a questionnaire to form one predictor: It is an instrument on intrinsic vs. extrinsic goals which assesses for several goals their attainment and importance by two separated questions. Since using the attainment and the importance as two distinct predictors won't work I was thinking of using the difference as a variable by subtracting the importance from the attainment. For example a positive or zero value for the scale "personal growth" would mean that the attainment is large/as large as it's attributed importance, while a negative value indicates the lack of attainment of an important value.

Has anybody modelled something similar before, e.g. using lavaan or MPLUS? It seems to work nicely as manifest varibale in a MLR but I would like to try it as SEM.

Thank you very much in advance,

Kind regards

Matteo

I am collating evaluation methodologies. So, broader methodologies for inclusion in my report are also welcome. Please also indicate the preferred citation for the evaluation methodology.

If the sample size is small (less than 100) how it can be published in peer reviewed journal. What could be the justifications for using small sample size .

I am doing my master thesis in risk management with Quantitative methodology. The question is, I am not able to decide on which industry to choose and on what parameters? Also, the data as to be generated by myself. Could someone help me please

Good morning all,

I am working on a research project. I have decided to use a pre-post design in which I aim to evaluate the role of yoga on secondary schools. As evaluation method I am using a likert scale. I will have 3 different conditions so 3 different samples.

Can I use ANOVA to evaluate the differences between the subjects in a condition (within group) and the difference between the 3 conditions (between groups)?

I don't think I can use T-test since I have 3 samples but I am not sure if I can use ANOVA with a likert Scale. Can you please help me?

Thank you very much!!

I am in the middle of questionnaire development and validation processes. I would like to get expert opinion on these processes whether the steps are adequately and correctly done.

1. Items generation

Items were generated through literature review, expert opinion and target population input. The items were listed exhaustively till saturation.

2. Contents validation

Initial items pool were then pre-tested with 10-20 target population to ensure comprehensibility. The items were then reworded based on feedback.

3. Construct validity

a) Bivariate correlation matrix to ensure no items correlation >0.8

b) Principal Axis Loading with Varimax Rotation. KMO statistic >0.5. Barttlets Test of Sphericity significant. Communalities less than 0.2 were then removed one-by-one in turn. Items with factor loading high cross-loading were removed one-by-one in turn. Then, item with factor loading <0.5 were removed one-by-one in turn. This eventually yielded 17 variables with 6 factors, but 4 factors have only 2 items. So I try to run 1, 2, 3, 4, 5 and 6 factor models, and found that 4-factor model is the most stable (each factor had at least 3 items with factor loadings >0.4). Next analysis is only on 4-factor model.

c) Next, i run Principal Component Analysis without rotation on each factor (there are 4 factors altogether), and each resulted in correlation matrix determinant >0.01, KMO >0.5, Bartlett significant, total variance >50%, and no factor loading <0.5.

d) I run reliability analysis on each factor (there are 4 factors altogether) and found cronbach alpha >0.7, while overall realibility is 0.8.

e) I run bivariate correlation matrix and found no pairs correlation >0.5.

f) Finally, i am satisfied and decided to choose four-factor model with 17 variables and 4 factors (each factor has 5,4,4,4 items), and each factor had at least 3 items with loadings >0.5. Realibilility for each factor >0.7 while overall is 0.8.

.

My question is, am i doing it right and adequate?

Your response is highly appreciated.

Thanks.

Regards,

Fadhli

How to apply the quantitative methodology and which data to collect?

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.

Hi I would appreciate some guidance on my proposed quantitative methodology and design. As per the uploaded diagram, my model has four independent variables (IV’s) and two dependent variables (DV’s). All of the variables will be measured using summated scales. I intend to use the averages of the summated scale scores to represent each of the variables. I then intend to analyse the relationships between the IV’s and DV’s using multiple regression. My research question does not extent to examining the relationships between the two DV’s (these are two desirable but different outcomes). If my research questions extended to covarience/relationships believe the DV’s then I believe that SEM would be more appropriate. However in this case, although I have two DV’s in my model as they are entirely separate, I believe I can test this using two runs of a multiple regression in SPSS (one for the IV’s on DV A and one for the IV’s on DV B). but I would appreciate any feedback. Many thanks Nick

I am working with a SEM model where several of the mediating variables covary. When calculating indirect effects should the covariance double arrows count as a path? Meaning that if X and Y covary and both affect Z, should i calculate an indirect effect of Y on Z going through X? Or in other words should i multiply the coefficient of Y with the covariance of X and Y to calculate the indirect effect of this path?

The Slovin's Formula is quite popularly use in my country for determining the sample size for a survey research, especially in undergraduate thesis in education and social sciences, may be because it is easy to use and the computation is based almost solely on the population size. The Slovin's Formula is given as follows: n = N/(1+Ne

^{2}), where n is the sample size, N is the population size and e is the margin of error to be decided by the researcher. However, its misuse is now also a popular subject of research here in my country and students are usually discourage to use the formula even though the reasons behind are not clear enough to them. Perhaps it will helpful if we could know who really is Slovin and what were the bases of his formula.What is the statistical and scientific deference between mediator and moderator in reaserchs?

A lo largo de los procesos de dirección, asesoría y acompañamiento de proyectos de investigación basados en metodologías cualitativas, se vienen cometiendo errores que repercuten en la rigurosidad y la calidad de estos estudios:

El error más comúnmente cometido se asocia a seguir lineamientos pertenecientes a la metodología cuantitativa, para orientar problemas eminentemente dados para una aproximación cualitativa.

Entre las fallas observadas tenemos:

1. Utilizar el término variable para dirigirse al problema de estudio

2. Pedir operacionalización de variables.

3. Preguntar por los procedimientos de muestreo con base en la idea de población y muestra.

4. sugerir la aplicación de procedimientos comúnmente utilizados para la creación y validación de instrumentos de medición, para la validación de técnicas cualitativas.

5. Desconocer la naturaleza inductiva y flexible de los enfoques cualitativos(ej. el planteamiento del problema, los propósitos, etc podrán irse modificando a medida que el estudio avance, incluso en las etapas últimas del mismo).

Otro de los problemas presentados y que se asocia con lo mencionado anteriormente es que, en algunas ocasiones quienes asesoran proyectos cualitativos no tienen ni idea de estas metodologías, incluso está sucediendo a nivel de posgrados, conllevando a quien realiza la asesoría a enfocar el estudio desde métodos inadecuados e incluso a cambiar el tema de estudio.

Es fundamental para entender la lógica de la investigación cualitativa, conocer los presupuestos epistemológicos y ontológicos, sobre estos se fundamentan los métodos.

Sigue habiendo un gran desconocimiento acerca de la metodología cualitativa , aun así se le cuestiona , se ponen en tela de juicio sus hallazgos y se reduce a conocimiento no científico.....

First of all, as part of the processing of information collected in the

**database systems, the sentiment analysis is used very frequently during analytical processes conducted for the needs of scientific research.***Big Data***allows you to get an answer to the question, what is, for example, recognizability, what is the awareness, opinion on a specific topic among users of specific***Sentiment analysis***, websites containing comments from Internet users, and***Internet portals***.***social media portals* Do you agree with my opinion on this matter?

In view of the above, I am asking you the following question:
What kind of research dominate in the analysis of data collected in Big Data database systems?

Please reply

I invite you to the discussion

Thank you very much

Dear Colleagues and Friends from RG

The key aspects and determinants of applications of data processing technologies in Big Data database systems are described in the following publications:

I invite you to discussion and cooperation.

Thank you very much

Best wishes

In which sectors of the

**economy**, in which types of companies and corporations will develop the most dynamic**technologies**for analyzing large collections of information in**Big Data**database systemsThe

**Big Data database technology**is finding more and more applications in business.Multi-criteria processing of huge data sets collected in Big Data database systems allows preparing reports in a relatively short time according to given criteria.

The report development time depends mainly on the computing power of

**Big Data**servers.In processes of complex economic and financial analyzes,

**risk management**, etc. for the purpose of determining the economic and financial situation of business entities, they are increasingly carried out in**computerized**analytical platforms of the**Business Intelligence**type.Perhaps in the

**future**, artificial intelligence will also be involved in this field of analytics.In some countries,

**IT companies**have been operating for several years, developing the**Big Data database technology**for commercial and business purposes.It is only a matter of time to combine these various analytical and database technologies in

**cloud computing**.In view of the above, the current question is: In which sectors of the

**economy**, in which types of**companies and corporations**will be the most dynamically developed**technologies**for analyzing large collections of**information**in**Big Data**database systemsPlease, answer,

**comments. I invite you to the discussion.**Quantitative methodology entails an empiricist ontology and objectivist epistemology; while qualitative methodology preaches constructionist ontology and interpretivist epistemology; both seem extreme positions regarding reality ‘out there’ and reality ‘socially constructed‘. What do you suggest?

Hi,

I'm preparing a PhD proposal to study an egocentric network in primary health care setting in a low-middle income country feed with a name-generator survey. I have 2 questions:

1. Any suggestion to the minimum sampling size to keep the validity?

2. What is the estimated time to do an (egocentric) social network analysis of a sample size of X?

Any suggestions, references?

Many thanks!

Virginia

Dear members

I have ranking data on scale 1-10 , whereby participants have ranked their 10 reasons for moving abroad (1- from most preferred reason to least ).

Can i asses the Mann-Whitney U test here, comparing the association between gender and reasons of moving abroad? as data is already in ranks

2. If yes, then we would have to every 10 reasons separately to gender and calculate the test

or is there any way to create an index of the 10 reasons of moving abroad and then apply the test?

Thanks

I am a Master of Research Student trying to learn about the proper way of conducting research. I am currently using a mixed-method approach for my methodology. My supervisors asked me to explain my sample size and the response rate. I was advised to interview 4 managers and distribute 50 surveys to their employees. Do we actually go for a sample size by instinct? How can I find out if it is correct? Would examiners find my sample size problematic? Thank you for your opinions.

Hello,

What is the most appropriate quantitative methodology to use for measuring two independent variables impact on one dependent variable?

My two independent are World Bank Governance Index and Ibrahim African Governance Index. My dependent is Socioeconomic Performance.

Many thanks in advance.

Mohamed

I have read a number of text on use of control variables in SEM and there seems no general agreement. I am currently thinking of the inclusion of moderator and mediator in a model. Is it appropriate to have control variables included in addition to the moderator and mediator variables, most especially when the process of making the model fit the data sample is iterative and in the process of modification of the model the independent variables may assume different role than was initially intended?

I am currently developing a quantitative methodology for measuring the environmental impacts of households. Please feel free to get in touch if you are involved in similar research. It would be great to exchange ideas and techniques.

Iam currently researching on the issues affecting Food manufacturing SMEs in Tanzania.The main aim of the study is to examine the factors that result into supply chain issues and provide solutions as to how these can be avoided.From secondary sources that is previous research a number of issues have been reported.So Iam thinking of sending out questionnaires to these SMEs to gather information on the issues and i also want to interview supply chain proffessionals and local and international bodies about the efforts they have taken or a taking to ensure that these issues are solved.In this case will a quantitative methodology be suitable or both?Or will a qualitative method be suitable?

Hi, I am conducting a research for large sample (n=427). My data are not normal so I used Mann-Whitney U test to compare several group of sample (n1=213, n2= 214), (n1=158, n2= 180). The results are (U=18030.5, n1=213, n2=214, p<0.01, two tailed), (U= 13689.5, n1= 158, n2= 180, p< 0.05,

*two tailed).*Even though I already knew the results from SPSS, I still want to know the critical value of Mann Whitney for large samples (n>100) cause I couldn't find it in any resources (most of them only for 20 samples). So, please kindly share it with me if you know about it! thank youhi, if we establish construct validity of a questionnaire developed by some one else, in the confirmatory factor analysis stage what model fit should be checked for the employed questionnaire?

GFI,CIF,IFI,AGFI,....../? which one ?all of them?

tanx

Dear Professionals,

My research topic for M. Phil. is " Social Security in manufacturing Industry in India". I am interested in quantitative methodology as I am from mathematical and statistical back ground. Now my issues are 1) How can I frame research questions?

2) How can I set hypothesis(both H0 and Ha) and how many

hypotheses can I set?

3) What is the best method of analysis to test my hypothesis?

4) What kind of research questions can I set, please give

examples?

Kindly share your views and I am extremely thankful to you all in advance. your views with clear explanation and illustration are of a great assistance to me.

Warm Regards

Adhikari V V Subba Rao,

Research Scholar,

Tata Institute of Social Sciences(TISS)-Mumbai

Hello, so I am doing a correlational research about adolescences in 5 areas of Jakarta. I divided the sample by their gender, age and educational backgrounds (12-17 years old (junior high school until senior high school) and 18-21 years old (college students)). I also control the Socioeconomic Status (SES) of the adolescence's family. My participants will be adolescences which are from middle low SES family.

Me and my collaborators are going to conduct a network analysis and we would like to learn as much as possible about this method before starting coding our data. Thank you!

So I am doing a correlational research about adolescence in 5 areas of Jakarta. I divided the sample by their gender, age and educational backgrounds (12-17 years old (junior high school until senior high school) and 18-21 years old (college students)). So my research can be representative for each area of Jakarta (East Jakarta, West Jakarta, South Jakarta, Central Jakarta, and North Jakarta).

I have a question regarding calculating the simple effects of a linear regression model with interaction terms. Using STATA I apply the following command (regress FHNIT D1_EU##c.C_Inflat) to which I get results showing that the interaction term between the two independent variables in significant.

Being that the interaction term is significant, I want to look at the simple slopes in order to analyze the interaction of the two variables at specific values. I have tried playing with the commands, however, I cannot seem to get STATA to produce the simple effects. Perhaps this function is not supported. Please let me know how I may be able to produce the simple effects through STATA (or even SPSS).

Dear all,

What is the conceptual & estimation differences between

a) Capital expenditure,

b) Capital formation,

c) Investment ?

Can someone use any one of the above as a proxy to the rest when data of the rest are not available?

Or any methods to derive one from the others?

Thanks in advance

Hello and a Happy New Year!

I would like to estimate the relations between the BIG 5 and the Dark Triad (Narcissism, Machiavellismn and Psychopathy). My sample size is n = 282 and I have 123 Items for 11 scales.

Should I use a CFA with MLR/WLSMV-estimator or should I use Pearson-correlations with Bonferroni-Holm-correction?

What should I do, if my CFA had a poor model fit (chi square, rmsea, srmr, cfi, tli, and so on)? Can I interpret the correlations between the latent variables or should I switch to classical correlation analysis?

Thank you very very much and best regards. :-)

I want to know what teachers think about their school training for an article.

I am a junior criminal justice major doing a research proposal for my class in quantitative methodology. I need raw datasets to do my research from, and have been unable to find any. Suggestions?

It is evenly useful your opinion on methods to apply in education, qualitative or quantitative.

Could you please let me know what nonparametric tests for multivariate regression analysis there are and what software would be useful for the analyses? I am thinking of administering two different questionnaires whose items are ordinal data using a 7 point-Likert scale and of using multivariate regression analysis. Thank you for your help in advance.

I am conducting a research on evaluative language in political tweets. The alternative hypothesis I have in my study can be accepted only if three conditions are met. Specifically, I have three features, x and y has to be ≥1.20, while z has to be <0.80. Moreover, the hypothesis applies to four different sub-corpora. How do I calculate p-value? Do I have to calculate it for each of the 12 elements?

In a qualitatively driven mixed methods study, can the research questions appear in this order? 1. Qualitative RQ, 2. Quantitative RQ, 3.Mixed Methods RQ. Creswell ( 2008) recommends starting with a mixed method RQ, but in my study, it works better to start with a qualitative RQ ( the one which looks at perceptions and beliefs of individuals), construct a questionnaire based on the themes and concepts emerging from the qualitative phase and finally, perform the data integration to answer the mixed methods RQ. Is that a feasible approach?

I am trying to best understand the method to how prejudice reduction is measured.

Dear colleagues. I have a challenging question and cannot find the answer in the literature yet. As you know, in social sciences, the

**face validity**of the scales is supposed to be checked by expert judges. In reality in business science, they rarely are (Hardesty and Bearden, 2004).Question: when they are,

**who**are the expert judges? My hypothesis is that they are very frequently peers (researchers, professors, PhD students) and rarely "end-users", like consumers or patients etc.Could anyone help me in confirming that hypothesis or not?

Thanks.

I have developed a conceptual model of critical success factors of digital libraries in Iran using a grounded theory approach. for the second phase of the study I am going to confirm the model by a statistical analysis. I prepared a questionnaire based on the model asking the experts' opinions. What statistical analysis method can I use for analyzing the results of the survey? Do you know a similar study?

Hi,

Does anyone know/.have a reference for what the standardised factor loadings (highlighted in the attached) should be when performing confirmatory factor analysis. Is it the same as the rule of thumb for factor loadings when performing an exploratory factor analysis (>.4)?

Thanks,

Emma.

You may be doing a preliminary investigation to test your hypothesis that Cg in unable to. . . .

OR giving detailed description on what the practices are in the worst and the best cases?

Are you interesting in the question Why this is the case? Or just how true your hypothesis is?

If a researcher wants to find the construct validity of a existing questionnaire or scale in a different population (country), what would be the most appropriate factor analysis to perform (EFA or CFA)? Literature seems to be inconsistent and some people suggest to perform both. Please do feel free to share your views.

This transformation is necessary to consider studies that provide non-parametric descriptive values
for a meta-analytic study.

Hi,

I want to conduct a randomized controlled trial to examine the effect of hypnosis in women with breast cancer during chemotherapy in their health-related quality of life, fatigue, anxiety, depression, and insomnia. I did not find any previous similar studies. Therefore, is it ok to conduct this study even though I don't have evidence? Also, I do not have effect size to calculate sample size too. How can I estimate sample in this situation? Also, I want to know that whether is it ok to divide the group into hypnosis and control group (I mean need to adopt other method)? I want your valuable suggestions.

Thank you so much.

I have conducted exploratory factor analysis (EFA) before CFA. I am looking for academic justification of doing so. The scales which i have adapted to measure constructs had no reliability issue. I am looking for any justification along with any reference of a paper or book to justify that exploratory factor analysis could be run before confirmatory factor analysis.

Because there are papers favoring both the relationships. Please provide your take regarding the directionality of this relationship.

I'm conducting a monte carlo simulation and will be calculated relative efficiency. Are there any agreed-upon cutoffs for acceptable relative efficiency?

Hello.

I want to conduct an impact assessment study from a randomised sample and no baseline data. Having read literature, I became confused as I realised that some authors tend to combine the two approaches (ESR and PSM). What is the best model to use?

Your comments will be useful please.

Thanks.

Is there a good review of methodological issues around blended longitudinal and cross-sectional studies? Specifically I am interested in the issues around the change in sample composition between these groups overtime.

**I had 40 interview transcripts from 4 cases and planning to use fsQCA for the data analysis. I am not sure that before we get into the fsQCA process, can I code the data using pattern matching method in Nvivo?**

**Thank you in advance :)**

I am doing an ISM on the barriers towards SSCM. There has been a debate regarding how many experts should be consulted during this study. Like the minimum number of experts. Please suggest.

please guide me, in my research i am comparing two groups on the basis of provision and non provision of career guidance and counselling services. I have used two scales including CDDQ a developed 9 point rating scale and other is a checklist on dichotomous scale (yes, no) options developed by me . Please guide me can i compare dichotomous scale with likert scale. If not then which method is appropriate for analysis.

Anyone who can find me published material on invariance tests of the student engagement scale in the higher education context? It would be much appreciated if you can send me published reports on measurement invariance of the NSSE and AUSSE.

Hello, I am investigating differences in attitudes towards cyberbullying in post Brexit UK , between 2 groups, those who voted leave and those who voted remain. My questionnaire (Likert scale) consists of 14 questions only.

what method of statistical data analysis shall I use please?

TIA

Hi,

I am a Master of Nursing Science student. Currently, I am conducting a research in patients with breast cancer. I have chosen social support as an independent variable to examine its predictive power in health-related quality of life. To measure Social support, I used the Modified Medical Outcomes Study Social Support Survey (eight item). The scoring manual didn't exactly explained the cut off score for poor, fair and good social support measured in 0-100 point scale. But I referred to previous similar study (only found one study) which categorized as poor,(less than 60) fair(60-79) and good social support (more than 80) and explained that it was categorized according to Bloom's theory. But there is no citation to search further. I tried to confirm searching so many times. But I could not find the article that used same categorization based on score. So, I kindly request you to let me know how it can be done or post article here if you have idea.

Thank you.

Use of factor analysis in questionnaire development or validation

I wish to moderate alphas of energy 5.4MeV from an Americium 241 source to 2MeV.

What type of moderator would be suited for this?

Cheers

Shri

I studied sleep quality by PSQI on reporting the results which is better to report the results as continuous data ( global PSQI score ) or categorical data ( normal and abnormal sleep quality )

On using the categorized form what is global PSQI score cut of point that could be considered

Is the CONSORT checklist appropriate for reporting a same sample pre- and post-test study? or are there other checklists out there for this specific research design? Thanks