Multilevel mixed-measurement IRT analysis

An explication and application to self-reported emotions across the world

L. Tay, E. Diener, F. Drasgow, J.K. Vermunt

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Pages (from-to)177-207
JournalOrganizational Research Methods
Volume14
Issue number1
DOIs
Publication statusPublished - 2011

Cite this

@article{87985f7ae346478bac6adfe1c1faf3bc,
title = "Multilevel mixed-measurement IRT analysis: An explication and application to self-reported emotions across the world",
author = "L. Tay and E. Diener and F. Drasgow and J.K. Vermunt",
year = "2011",
doi = "10.1177/1094428110372674",
language = "English",
volume = "14",
pages = "177--207",
journal = "Organizational Research Methods",
issn = "1094-4281",
publisher = "SAGE Publications Inc.",
number = "1",

}

Multilevel mixed-measurement IRT analysis : An explication and application to self-reported emotions across the world. / Tay, L.; Diener, E.; Drasgow, F.; Vermunt, J.K.

In: Organizational Research Methods, Vol. 14, No. 1, 2011, p. 177-207.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Multilevel mixed-measurement IRT analysis

T2 - An explication and application to self-reported emotions across the world

AU - Tay, L.

AU - Diener, E.

AU - Drasgow, F.

AU - Vermunt, J.K.

PY - 2011

Y1 - 2011

U2 - 10.1177/1094428110372674

DO - 10.1177/1094428110372674

M3 - Article

VL - 14

SP - 177

EP - 207

JO - Organizational Research Methods

JF - Organizational Research Methods

SN - 1094-4281

IS - 1

ER -