You will perform a multilevel analysis with three different models -
1) random intercept,
2) random intercept and slope, and
3) cross-level interaction - and report on your findings.
You will use the Mplus code and dataset given as files in the dropbox. Using metrics and methods from class, make the case for/against the proposed random intercept, slope, and cross-level interaction models.
Use both prose and relevant statistical output to make the case for why you chose the final model you did. At the end, paste the Mplus code of the three new models you made and also explain in laymen terms what this model tells us.
You will perform a growth curve analysis with two different models and report on your findings.
You will use the Mplus code and dataset given as files in the dropbox. First, hypothesize a relationship you think would have a longitudinal effect.
Using metrics and methods from class, develop a new model based on your hypothesis and make the case for/against the proposed models. Use both prose and relevant statistical output to make the case for why you chose the final model you did.
At the end, paste the Mplus input code of the two new models you made and also explain in laymen terms what they tell us.
Attachment:- dataSCCT.rar