Abstract
Between-within designs that include a person group (i.e., a between-subjects factor) and repeated measures of binary responses over time (i.e., a within-subjects factor) are common in educational and psychological research. This software note describes how explanatory item response models can be specified to analyze longitudinal item-level data to detect fixed effects in Mplus for between-within designs. In particular, a necessary parameter transformation is illustrated in detail to obtain the fixed effects in Mplus.
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