The Scaling of Latent and Observed Variables in State-Trait Models
The Scaling of Latent and Observed Variables in State-Trait Models
复制标题
状态特质模型中潜在变量和观察变量的缩放
DOI:
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复制
发表时间:
2003
期刊:
影响因子:
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通讯作者:
Daniel J. Bauer
中科院分区:
文献类型:
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作者:
Daniel J. Bauer
Eid and Langeheine (this issue) are to be commended for providing an easily understandabledepictionofhowlatentclassanalysismaybeapplied toevaluatestate–trait models when population subgroups are expected to show different patterns of stability and change. Such developments are welcome, as state–trait models represent one important way of conceptualizing individual differences in intraindividual change (see also Meredith & Tisak, 1990; Nesselroade, 2001). Rather than critique the state–trait model itself, I direct my commentary primarily at scaling issues, namely, the scaling of the latent variables and the scaling of the observed variables, and how scaling issues may impact on the validity of the procedure. My concerns about scaling are two-fold. First, I question whether traits and states are best represented as categorical latent variables (typologies) rather than continuous latent variables (dimensions). Second, I am concerned that estimates of the proportion of cases within each latent subgroup (or chain) may be affected by utilizing crudely categorized observed variables as indicators. That is, I wonder to what extent the estimates of the model reflect the scaling of the observed measures rather than the actual structure of individual differences. I first address the scaling of the latent variables, and then proceed to consider the scaling of the observed variables. MEASUREMENT: INTERDISCIPLINARY RESEARCH AND PERSPECTIVES, 1(3), 207–231 Copyright © 2003, Lawrence Erlbaum Associates, Inc.
影响因子:
7.6
作者:
Shoda,Y;Mischel,W;Wright,JC
通讯作者:
Wright,JC
DOI:
10.1037//0012-1649.34.5.970
发表时间:
1998
期刊:
Developmental psychology.
影响因子:
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作者:
O'Connor,TG;Deater-Deckard,K;Fulker,D;Rutter,M;Plomin,R
通讯作者:
Plomin,R
影响因子:
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作者:
Kendler,KS;Heath,AC;Neale,MC;Kessler,RC;Eaves,LJ
通讯作者:
Eaves,LJ