TY - JOUR
T1 - Job performance as multivariate dynamic criteria
T2 - Experience sampling and multiway component analysis
AU - Spain, Seth M.
AU - Miner, Andrew G.
AU - Kroonenberg, Pieter M.
AU - Drasgow, Fritz
PY - 2010/8/27
Y1 - 2010/8/27
N2 - Questions about the dynamic processes that drive behavior at work have been the focus of increasing attention in recent years. Models describing behavior at work and research on momentary behavior indicate that substantial variation exists within individuals. This article examines the rationale behind this body of work and explores a method of analyzing momentary work behavior using experience sampling methods. The article also examines a previously unused set of methods for analyzing data produced by experience sampling. These methods are known collectively as multiway component analysis. Two archetypal techniques of multimode factor analysis, the Parallel factor analysis and the Tucker3 models, are used to analyze data from Miner, Glomb, and Hulin's (2010) experience sampling study of work behavior. The efficacy of these techniques for analyzing experience sampling data is discussed as are the substantive multimode component models obtained.
AB - Questions about the dynamic processes that drive behavior at work have been the focus of increasing attention in recent years. Models describing behavior at work and research on momentary behavior indicate that substantial variation exists within individuals. This article examines the rationale behind this body of work and explores a method of analyzing momentary work behavior using experience sampling methods. The article also examines a previously unused set of methods for analyzing data produced by experience sampling. These methods are known collectively as multiway component analysis. Two archetypal techniques of multimode factor analysis, the Parallel factor analysis and the Tucker3 models, are used to analyze data from Miner, Glomb, and Hulin's (2010) experience sampling study of work behavior. The efficacy of these techniques for analyzing experience sampling data is discussed as are the substantive multimode component models obtained.
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U2 - 10.1080/00273171.2010.498286
DO - 10.1080/00273171.2010.498286
M3 - Article
C2 - 26735712
AN - SCOPUS:77955867203
SN - 0027-3171
VL - 45
SP - 599
EP - 626
JO - Multivariate Behavioral Research
JF - Multivariate Behavioral Research
IS - 4
ER -