A MULTIMETHOD LATENT STATE-TRAIT MODEL FOR STRUCTURALLY DIFFERENT AND INTERCHANGEABLE METHODS

被引：10
|
作者：
Koch, Tobias [1 ]
Schultze, Martin [2 ]
Holtmann, Jana [2 ]
Geiser, Christian [3 ]
Eid, Michael [2 ]
机构：
[1] Leuphana Univ Luneburg, Luneburg, Germany
[2] Free Univ Berlin, Berlin, Germany
[3] Utah State Univ, Logan, UT 84322 USA
来源：
PSYCHOMETRIKA | 2017年 / 82卷 / 01期
关键词：
latent state-trait (LST) theory; CFA-MTMM; multilevel structural equation modeling; structurally different methods; interchangeable methods; CFA-MTMM MODEL; VALIDITY; PERSONALITY; CONVERGENT; VARIABLES;
D O I：
10.1007/s11336-016-9541-x
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A new multiple indicator multilevel latent state-trait (LST) model for the analysis of multitrait-multimethod-multioccasion (MTMM-MO) data is proposed. The LST-COM model combines current CFA-MTMM modeling approaches of interchangeable and structurally different methods and LST modeling approaches. The model enables researchers to specify construct and method factors on the level of time-stable (trait) as well as time-variable (occasion-specific) latent variables and analyze the convergent and discriminant validity among different rater groups across time. The statistical performance of the model is scrutinized by a simulation study and guidelines for empirical applications are provided.
引用
收藏
页码：17 / 47
页数：31
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