Literature DB >> 29687453

A diagnostic tree model for polytomous responses with multiple strategies.

Wenchao Ma1.   

Abstract

Constructed-response items have been shown to be appropriate for cognitively diagnostic assessments because students' problem-solving procedures can be observed, providing direct evidence for making inferences about their proficiency. However, multiple strategies used by students make item scoring and psychometric analyses challenging. This study introduces the so-called two-digit scoring scheme into diagnostic assessments to record both students' partial credits and their strategies. This study also proposes a diagnostic tree model (DTM) by integrating the cognitive diagnosis models with the tree model to analyse the items scored using the two-digit rubrics. Both convergent and divergent tree structures are considered to accommodate various scoring rules. The MMLE/EM algorithm is used for item parameter estimation of the DTM, and has been shown to provide good parameter recovery under varied conditions in a simulation study. A set of data from TIMSS 2007 mathematics assessment is analysed to illustrate the use of the two-digit scoring scheme and the DTM.
© 2018 The British Psychological Society.

Keywords:  zzm321990TIMSSzzm321990; cognitive diagnosis; constructed-response; diagnostic tree; item response; multiple strategies; sequential G-DINA; tree structure; two-digit scoring

Mesh:

Year:  2018        PMID: 29687453     DOI: 10.1111/bmsp.12137

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  3 in total

1.  A Sequential Higher Order Latent Structural Model for Hierarchical Attributes in Cognitive Diagnostic Assessments.

Authors:  Peida Zhan; Wenchao Ma; Hong Jiao; Shuliang Ding
Journal:  Appl Psychol Meas       Date:  2019-03-04

2.  Adapting cognitive diagnosis computerized adaptive testing item selection rules to traditional item response theory.

Authors:  Miguel A Sorrel; Juan R Barrada; Jimmy de la Torre; Francisco José Abad
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

3.  Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales.

Authors:  Ren Liu; Haiyan Liu; Dexin Shi; Zhehan Jiang
Journal:  Appl Psychol Meas       Date:  2022-06-24
  3 in total

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