Do anyone want to write a common article about systems thinking or strategic thinking?

What is the Minimum accepted value for communalities in EFA analysis? can we consider the value less than 0.2 also in a 50 items questionnaire?

Hello everyone. I am planning to use the MARS-5 (Five item Medication Adherence Report Scale) questionnaire for my research. I want to know how should I get the permission to use this scale. Your help will be greatly appreciated. Thank you in advance.

I have calculated two cross-classified multilevel models where the models have different sample sizes. I was wondering whether I can compare (like say higher or lower) ICC between these two models.

Another question, from a cross-classified multilevel model, we can calculate the ICC index for different contexts (such as students living in the zone but school zone is different, student's school in the same zone but residence is different). At least can we add the ICC index to say that this total amount of variation is due to spatial dependency?

Hi all,

Need your opinion which open source software is good JASP or Jamovi?

Regards,

Most of the statistical technique allows a limited number of variables those are not appropriate to analyze and understand complicated theories and social phenomena. This is true for simple bivariate correlation analysis. Compare to other statistical techniques, structural equation modeling allows the researcher to investigate the complex phenomena through statistical modeling and testing of hypothesis. In case of most of the statistical techniques, importance is given to the validity and reliability of data obtained through research instruments. Structural Equation Modeling (SEM) take data measurement error into account explicitly in case of data analysis. Now a days the SEM software programs are user friendly and easy to use having familiar software features.

It would be better, if anyone discuss the weaknesses of Structural Equation Modeling (SEM) as a quantitative analytical technique.

Thank you so much.

Hi everyone, I have applied SEM to a simple model of IV→DV (Six IV's and One DV) to check the affect of various IV on Buying Intention(DV). I know SEM is used for complex behavioral models. can it be applied to simple models also? IF yes than what will be the advantages of that?

My model consists of 1 independent, 1 mediator, 4 moderators, and 1 dependent variable. I've been reading about SEM yet I don't fully understand if it's the one I should use instead of multiple regression. Any thoughts? I'd highly appreciate your answers.

I have read through different sources and answers before, and they have different views. What is the clear or concise thought beyond the reason for using SEM in the first place?

I am building a questionnaire and on SPSS I have some items which have a low communality score (.2) but load on a factor at .43. Why would this be the case? And should I eliminate the item based on its low communality? This has happened both with Principal Axis and Principal components methods.

Thank you for any help/advise!