Fitting a mixture IRT model to personality questionnaire data: Characterizing latent classes and investigating possibilities for improving prediction

A.M. Maij - de Meij; H. Kelderman; H. van der Flier

doi:10.1177/0146621607312613

Fitting a mixture IRT model to personality questionnaire data: Characterizing latent classes and investigating possibilities for improving prediction

A.M. Maij - de Meij, H. Kelderman, H. van der Flier

Research output: Contribution to Journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	611-631
Journal	Applied Psychological Measurement
Volume	32
DOIs	https://doi.org/10.1177/0146621607312613
Publication status	Published - 2008

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10.1177/0146621607312613

http://apm.sagepub.com/content/32/8/611.full.pdf+html

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Cite this

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title = "Fitting a mixture IRT model to personality questionnaire data: Characterizing latent classes and investigating possibilities for improving prediction",

author = "{Maij - de Meij}, A.M. and H. Kelderman and {van der Flier}, H.",

year = "2008",

doi = "10.1177/0146621607312613",

language = "English",

volume = "32",

pages = "611--631",

journal = "Applied Psychological Measurement",

issn = "0146-6216",

publisher = "SAGE Publications Inc.",

}

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T1 - Fitting a mixture IRT model to personality questionnaire data: Characterizing latent classes and investigating possibilities for improving prediction

AU - Maij - de Meij, A.M.

AU - Kelderman, H.

AU - van der Flier, H.

PY - 2008

Y1 - 2008

U2 - 10.1177/0146621607312613

DO - 10.1177/0146621607312613

M3 - Article

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VL - 32

SP - 611

EP - 631

JO - Applied Psychological Measurement

JF - Applied Psychological Measurement

ER -