Can anyone answer my questions on filling in questionnaires on behalf of illiterate patients?

Dears,

please I have a model in smartpls but I'm stacked at the end I couldn't have a good model fit and I wonder what about the SRMR= 0.086 (Saturated model) and SRMR= 0.157 (Estimated Model), which value should I take in SMART PLS .

Regards

Hi everyone,

I am writing my dissertation and I am very confused on how to measure my variables. When opening my spss data it all says unknown. One variable is: Interest in politics. The responses are as follows: 1= very interested. 2= fairly interested 3= not very interested. 4= not at all interested. Am I right in assuming that this is ordinal data? I have asked a friend and she has said it is nominal as the numbers do not correlate to the words. Can anyone help? Also, when looking at Likert scales do all of my variables need to be recoded in the same way? So if I have a strongly agree as 1, do all other variables need to have strongly agree as 1 or can I have strongly disagree as 1?

Many thanks, sorry if this is a silly question. I have only just learnt how to use spss and I'm getting stuck with the basics.

Though AVE value must be greater than 0.5, yet the question is can i go ahead with further calculations if AVE is close to 0.5. (Little less than 0.5)...All other values, like factor loading, SCR, data adequacy etc is coming under the acceptance zone?

Gray literature vs. scientific literature

-What are the advantages and disadvantages of gray literature compared to scientific literature.

-What are the repositories that you know about gray literature.

-What is the importance of gray literature for developing countries

Gray literature is "materials and research produced by organizations outside of the traditional commercial or academic publishing and distribution channels. Common gray literature publication types include reports (annual, research, technical, project, etc.), working papers, government documents, white papers and evaluations"

Scientific literature "comprises scholarly publications that report original empirical and theoretical work in the natural and social sciences. Within an academic field, scientific literature is often referred to as the literature. Academic publishing is the process of contributing the results of one's research into the literature, which often requires a peer-review process".

There have 3 independent variables which are knowledge, perception, and awareness. My dependent variable is buying decisions. The question in my questionnaire only has demographic and IV questions. But the IV questions represent their buying decision. So I still need to create dependent variable question? My hypothesis is looking for the different status (worker and student) of their buying decision.

Peer-reviewed (refereed or scholarly) journals - Articles are authored by specialists and vetted by numerous other experts in the subject before being published in the journal to assure the quality of the article. (The paper has a better chance of being scientifically sound, reaching reasonable findings, and so on.)

Because they have gone through the most rigorous review process, articles from scientific, peer-reviewed, academic, and refereed publications are more reputable than those from popular or trade journals ('magazines'). They also have the highest number of references or citations.

Hi, everyone!

I just received the comments of a reviewer who said:

you conducted EFA and based on EFA results, run the SEM modeling. You are supposed to conduct a CFA to confirm the EFA results and finalize the measurement model before proceeding SEM. You can fairly use half of the sample to test EFA and another half to test CFA.

Actually, in my study, i used the EFA to explore the possible dimensions of the high-order constructs, and then build a PLS-SEM with the results of EFA. However, i don´t think I should do also the CFA.

So, how can I answer the reviewer ? and is my method wrong??

Thanks!!!

I am relating 3 variables in a correlational research design; 2 out of the 3 studied relationships yielded unexpected results (no correlation instead of strong correlation), and I am going to discuss this by the fact of distance communication during the spread of COVID-19 pandemic. Is positivism the right research philosophy to adopt in this case? I know that positivism seeks universal laws and causal links, but no causal link is aimed at here.

I was thinking of critical realism, because of the space it gives for the researcher to interpret the data subjectively (as I am going to do, since I am proposing distance communication as the reason but it is just a probable reason actually).

Another issue is that I want to determine the type of the purpose of my study. According to Creswell's (2012), my research design is called "explanatory correlational design", because it is measuring degree and direction of relationships without giving predictive implications. However, I read in 2 references that correlational research is considered a descriptive, rather than explanatory research, because it only describes relationships without explaining why this happened (no causality can be concluded). So what can I consider the correlational purpose? Descriptive or explanatory?

I am at the final stage of my dissertation and need your help regarding the above 2 issues.