Literature DB >> 25106405

Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model.

Sun-Joo Cho1, Allan S Cohen, Brian Bottge.   

Abstract

A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for assessing stage sequential change over time at both student and teacher levels. Results from an LTA-MixIRTM and multilevel LTA-MixIRTM were compared in the context of an educational intervention study. Both models were able to describe homogeneities in problem solving and transition patterns. However, ignoring a multilevel structure in LTA-MixIRTM led to different results in group membership assignment in empirical results. Results for the multilevel LTA-MixIRTM indicated that there were distinct individual differences in the different transition patterns. The students receiving the intervention treatment outscored their business as usual (i.e., control group) counterparts on the curriculum-based Fractions Computation test. In addition, 27.4 % of the students in the sample moved from the low ability student-level latent class to the high ability student-level latent class. Students were characterized differently depending on the teacher-level latent class.

Mesh:

Year:  2013        PMID: 25106405     DOI: 10.1007/s11336-012-9314-0

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  10 in total

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Journal:  Stat Methods Med Res       Date:  2007-09-13       Impact factor: 3.021

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Journal:  Psychometrika       Date:  2006-06       Impact factor: 2.500

9.  Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model.

Authors:  Sun-Joo Cho; Michele Athay; Kristopher J Preacher
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Authors:  Kimberly L Henry; Bengt Muthén
Journal:  Struct Equ Modeling       Date:  2010-04-01       Impact factor: 6.125

  10 in total
  4 in total

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Journal:  Appl Psychol Meas       Date:  2014-09-15

2.  Ignoring a Multilevel Structure in Mixture Item Response Models: Impact on Parameter Recovery and Model Selection.

Authors:  Woo-Yeol Lee; Sun-Joo Cho; Sonya K Sterba
Journal:  Appl Psychol Meas       Date:  2017-06-19

3.  A Finite Mixture Item Response Theory Model for Continuous Measurement Outcomes.

Authors:  Cengiz Zopluoglu
Journal:  Educ Psychol Meas       Date:  2019-06-27       Impact factor: 2.821

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Journal:  Front Psychol       Date:  2016-10-25
  4 in total

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