Hello,
I have survey data where five main factors and each factor has a set of questions. As we know a number of factors I applied EFA over the data. and got the scores of the latent variables.
My question is: Can I use these scores in regression, where the factor scores will be the dependent variable?
For example, I am getting the following results for a regression where age groups and genders are independent variables and factor scores are dependent in the regression, how to interpret the results? dose it mean older people (Age> 30) negatively answer food insecurity and Resilience questions more than young people (Age<30)? bold means significant and
headers are mean factors we have. I recorded all question scales to int to be able to apply factor analysis( e.g., Agree=1, disagree=0) and so on.
I have survey data where five main factors and each factor has a set of questions. As we know a number of factors I applied EFA over the data. and got the scores of the latent variables.
My question is: Can I use these scores in regression, where the factor scores will be the dependent variable?
For example, I am getting the following results for a regression where age groups and genders are independent variables and factor scores are dependent in the regression, how to interpret the results? dose it mean older people (Age> 30) negatively answer food insecurity and Resilience questions more than young people (Age<30)? bold means significant and
headers are mean factors we have. I recorded all question scales to int to be able to apply factor analysis( e.g., Agree=1, disagree=0) and so on.
Code:
Variable Food Insecurity Resilience Section Academic Motivation Section Mental Stress Mindset Gender Male Female -.007601 .0046041 .1260862 .1316824 .0918349 Age: Age<30 Age_30_50 -.0228835 -.0045375 .0356785 -.4235363 -.1060259
