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- W3046219231 abstract "Despite the increasing popularity of studying higher-level constructs in organizational research in recent years, few empirical studies have clarified the conceptual, measurement, and statistical properties of their higher-level constructs. Based on the seminal work by Kozlowski and Klein (2000), we first summarize the differences in the conceptualization of the three basic types of higher-level constructs: constructs with global properties, shared properties, and configural properties. Then we differentiate the measurement properties for constructs with different conceptualizations. Finally, we demonstrate with simulation results that the multilevel latent covariate (MLC) approach is more appropriate for estimating higher-level constructs with shared properties while the multilevel manifest covariate (MMC) approach is more appropriate for estimating higher-level constructs with configural properties. We suggest future organizational researchers should first clearly define and specify the conceptual properties of the higher-level constructs, then use appropriate measurement that matches the conceptualization of the constructs, and finally adopt the proper statistical approach to aggregate individual observations to higher-level variables." @default.
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- W3046219231 date "2020-08-01" @default.
- W3046219231 modified "2023-09-27" @default.
- W3046219231 title "Conceptualization, Measurement, and Statistical Properties of Higher- Level Constructs" @default.
- W3046219231 doi "https://doi.org/10.5465/ambpp.2020.13268abstract" @default.
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