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Measurement invariance: Review of practice and implications
Abstract A review of efforts to assess the invariance of measurement instruments across different respondent groups using confirmatory factor analysis (CFA) is provided for the years since theExpand
Advancing Multilevel Research Design
TLDR
This article advances more direct, dynamic, and temporally sensitive quantitative research methods designed to unpack emergence as a process of multilevel theory and organizational systems. Expand
The dynamics of team cognition: A process-oriented theory of knowledge emergence in teams.
Team cognition has been identified as a critical component of team performance and decision-making. However, theory and research in this domain continues to remain largely static; articulation andExpand
Design : Capturing the Dynamics of Emergence
Quantitative multilevel research has advanced organizational science, but is limited because the focus is incomplete. Most research examines top-down, contextual, cross-level relationships. EmergentExpand
Mortality From the Influenza Pandemic of 1918–1919: The Case of India
Estimates of worldwide mortality from the influenza pandemic of 1918–1919 vary widely, from 15 million to 100 million. In terms of loss of life, India was the focal point of this profound demographicExpand
Special Considerations for the Acquisition and Wrangling of Big Data
Organizational scientists must capitalize on the big data revolution to better understand the nomothetic, idiographic, multilevel, and/or dynamic processes that make up today’s workplace.Expand
Capturing the multilevel dynamics of emergence
Emergent phenomena—those that manifest bottom-up from the psychological characteristics, perceptions, and interactions among individuals—are a fundamental dynamic process in multilevel theory, butExpand
A model of career success: A longitudinal study of emergency physicians
Abstract Objective and subjective career success were hypothesized to mediate the relationships between sociodemographic variables, human capital indices, individual difference variables, andExpand
A geographic analysis of population density thresholds in the influenza pandemic of 1918–19
BackgroundGeographic variables play an important role in the study of epidemics. The role of one such variable, population density, in the spread of influenza is controversial. Prior studies haveExpand
A cautionary note on modeling growth trends in longitudinal data.
Random coefficient and latent growth curve modeling are currently the dominant approaches to the analysis of longitudinal data in psychology. The application of these models to longitudinal dataExpand
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