In data analysis design, the analysis plan starts with the preliminary analysis to compare the different in
mathematic achievements across three periods, using descriptive statistical analysis and ANOVA. Next is the
application of exploratory factor analysis to determine the appropriate number of classes for each round of
measurement using Program R. Thirdly, employing LTA-MRM to obtain the latent classes; transition patterns, each
of which reveals counts and proportions of student; and transition probabilities for each of the transitions between
two classes.