Ditapis dengan
Best-Practice Recommendations for Estimating Cross-Level Interaction Effects …
Multilevel modeling allows researchers to understand whether relationships between lower-level variables (e.g., individual job satisfaction and individual performance, firm capabilities and performance) change as a function of higher-order moderator variables (e.g., leadership climate, market-based conditions). We describe how to estimate such cross-level interaction effects and distill the tec…
- Edisi
- Vol. 39 No. 6, Sep 2013
- ISBN/ISSN
- 1557-1211
- Deskripsi Fisik
- 1724 p.
- Judul Seri
- Journal of Management
- No. Panggil
- JOM3906
Structure and Function of Team Learning Emergence : A Multilevel Empirical Va…
The aim of this study is to examine how learning emerges in terms of structure and function to transform from an individual to a collective (team) phenomenon. Drawing on learning theory and multilevel thinking, the authors developed and validated measures for the basic team learning processes (i.e., intuition, interpretation, integration, and codification) in three independent field studies of …
- Edisi
- Vol. 39 No. 6, Sep 2013
- ISBN/ISSN
- 1557-1211
- Deskripsi Fisik
- 1724 p.
- Judul Seri
- Journal of Management
- No. Panggil
- JOM3906
The Connection Between Varying Treatment Effects and the Crisis of Unreplicab…
We connect the replication crisis in social science to the default model of constant effects coupled with the flawed statistical approach of null hypothesis significance testing and the related problems arising from the default model of constant treatment effects. We argue that Bayesian modeling of interactions could lead to a general improvement in the communication and understanding of resear…
- Edisi
- Vol. 41, No. 2, Feb 2015
- ISBN/ISSN
- 1557-1211
- Deskripsi Fisik
- 760 p.
- Judul Seri
- Journal of Management
- No. Panggil
- -
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