Obtaining diagnostic classification model estimates using mplus

Jonathan Templin, Lesa R Hoffman

Research output: Contribution to journalArticle

40 Citations (Scopus)

Abstract

Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.

Original languageEnglish (US)
Pages (from-to)37-50
Number of pages14
JournalEducational Measurement: Issues and Practice
Volume32
Issue number2
DOIs
StatePublished - Jun 1 2013

Fingerprint

diagnostic
syntax
interpretation
lack
community

Keywords

  • Cognitive diagnosis
  • Diagnostic classification models
  • LCDM
  • Mplus
  • Skills assessment

ASJC Scopus subject areas

  • Education

Cite this

Obtaining diagnostic classification model estimates using mplus. / Templin, Jonathan; Hoffman, Lesa R.

In: Educational Measurement: Issues and Practice, Vol. 32, No. 2, 01.06.2013, p. 37-50.

Research output: Contribution to journalArticle

Templin, Jonathan ; Hoffman, Lesa R. / Obtaining diagnostic classification model estimates using mplus. In: Educational Measurement: Issues and Practice. 2013 ; Vol. 32, No. 2. pp. 37-50.
@article{600f2a5254f04724b091c273c5d7e3fe,
title = "Obtaining diagnostic classification model estimates using mplus",
abstract = "Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.",
keywords = "Cognitive diagnosis, Diagnostic classification models, LCDM, Mplus, Skills assessment",
author = "Jonathan Templin and Hoffman, {Lesa R}",
year = "2013",
month = "6",
day = "1",
doi = "10.1111/emip.12010",
language = "English (US)",
volume = "32",
pages = "37--50",
journal = "Educational Measurement: Issues and Practice",
issn = "0731-1745",
publisher = "Wiley-Blackwell",
number = "2",

}

TY - JOUR

T1 - Obtaining diagnostic classification model estimates using mplus

AU - Templin, Jonathan

AU - Hoffman, Lesa R

PY - 2013/6/1

Y1 - 2013/6/1

N2 - Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.

AB - Diagnostic classification models (aka cognitive or skills diagnosis models) have shown great promise for evaluating mastery on a multidimensional profile of skills as assessed through examinee responses, but continued development and application of these models has been hindered by a lack of readily available software. In this article we demonstrate how diagnostic classification models may be estimated as confirmatory latent class models using Mplus, thus bridging the gap between the technical presentation of these models and their practical use for assessment in research and applied settings. Using a sample English test of three grammatical skills, we describe how diagnostic classification models can be phrased as latent class models within Mplus and how to obtain the syntax and output needed for estimation and interpretation of the model parameters. We also have written a freely available SAS program that can be used to automatically generate the Mplus syntax. We hope this work will ultimately result in greater access to diagnostic classification models throughout the testing community, from researchers to practitioners.

KW - Cognitive diagnosis

KW - Diagnostic classification models

KW - LCDM

KW - Mplus

KW - Skills assessment

UR - http://www.scopus.com/inward/record.url?scp=84879374130&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879374130&partnerID=8YFLogxK

U2 - 10.1111/emip.12010

DO - 10.1111/emip.12010

M3 - Article

VL - 32

SP - 37

EP - 50

JO - Educational Measurement: Issues and Practice

JF - Educational Measurement: Issues and Practice

SN - 0731-1745

IS - 2

ER -