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| Autor/inn/en | Cho, Sun-Joo; Cohen, Allan S.; Kim, Seock-Ho; Bottge, Brian |
|---|---|
| Titel | Latent Transition Analysis with a Mixture Item Response Theory Measurement Model |
| Quelle | In: Applied Psychological Measurement, 34 (2010) 7, S.483-504 (22 Seiten)
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| Zusatzinformation | Weitere Informationen |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0146-6216 |
| DOI | 10.1177/0146621610362978 |
| Schlagwörter | Item Response Theory; Measurement; Models; Statistical Analysis; Computation; Intervention; Mathematics Instruction; Middle School Students; Mathematics Tests; Difficulty Level; Test Items |
| Abstract | A latent transition analysis (LTA) model was described with a mixture Rasch model (MRM) as the measurement model. Unlike the LTA, which was developed with a latent class measurement model, the LTA-MRM permits within-class variability on the latent variable, making it more useful for measuring treatment effects within latent classes. A simulation study indicated that model recovery using the LTA-MRM was good except for small sample size-short test conditions. A real data application of a mathematics intervention with middle school students indicated that the LTA-MRM clearly detected the intervention effect and also provided a means of helping to better understand the effects compared to a standard multiwave analysis of variance. (Contains 9 tables and 2 figures.) (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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