Learning activities outside of school have been regarded as taking more and more important roles in enhancing students development in different aspects.
The purpose of this study will be to apply a random mixture nominal item response model in a latent transition analysis for investigating instruction effects.
Many intervention programs,such as the PAX Good Behavior Game(PAX) program implemented in Manitoba province-wide schools,often have multiple outcome variables(e.g.,Emotional Symptoms,Conduct Problems,
Piecewise growth mixture modeling(PGMM) can be used to investigate growth and change of subpopulations consisting of distinct developmental phases(Muthén,2008).
Diagnostic Classification Models(DCMs) classify examinees into attribute mastery profiles and have useful instruction and assessment implications for students and educators.
The attention that coefficient alpha( ) has received in the psychometric literature over the last two decades has,for a large part,been focused on disadvantages of alpha.
The Classical Test Theory(CTT) definition of reliability is often described as the proportion of the variance due to true score variance over the total score variance.