Skip to main content
Volume 24 Issue 2, April 2021
Feature Topic: New Approaches to Multilevel Methods and Statistics
Abstract
The purpose of this article is to take stock of extant multilevel methodological and statistical work and highlight needed areas for future research. A basic overview of the history and progression of multilevel methods and statistics in the ...Restricted accessResearch articleFirst published October 1, 2020pp. 187–218
Abstract
Recent developments in theories and data collection methods have made intensive longitudinal data (ILD) increasingly relevant and available for organizational research. New methods for analyzing ILD have emerged under the multilevel modeling framework. In ...Restricted accessResearch articleFirst published March 19, 2019pp. 219–250
Abstract
Some of the most influential theories in organizational sciences explicitly describe a dynamic, multilevel process. Yet the inherent complexity of such theories makes them difficult to test. These theories often describe multiple subprocesses that ...Available accessResearch articleFirst published October 31, 2019pp. 251–284
Abstract
We present a dynamic multilevel framework for analyzing the mutual dependence of change in interorganizational networks and internal organizational structure. Change occurring at the former (interorganizational) level involves decisions to change the ...Restricted accessResearch articleFirst published July 30, 2019pp. 285–318
Abstract
Theories suggest that groups within organizations often develop shared values, beliefs, affect, behaviors, or agreed-on routines; however, researchers rarely study predictors of consensus emergence over time. Recently, a multilevel-methods approach for ...Restricted accessResearch articleFirst published September 17, 2019pp. 319–341
Abstract
Constructs that reflect differences in variability are of interest to many researchers studying workplace phenomena. The aggregation methods typically used to investigate “variability-based” constructs suffer from several limitations, including the ...Restricted accessResearch articleFirst published November 22, 2019pp. 342–388
Abstract
Meta-analyses are well known and widely implemented in almost every domain of research in management as well as the social, medical, and behavioral sciences. While this technique is useful for determining validity coefficients (i.e., effect sizes), meta-...Restricted accessResearch articleFirst published July 24, 2019pp. 389–411
Abstract
Multilevel paradigms have permeated organizational research in recent years, greatly advancing our understanding of organizational behavior and management decisions. Despite the advancements made in multilevel modeling, taking into account complex ...Restricted accessResearch articleFirst published September 25, 2019pp. 412–442
Abstract
Entities such as individuals, teams, or organizations can vary systematically from one another. Researchers typically model such data using multilevel models, assuming that the random effects are uncorrelated with the regressors. Violating this testable ...Restricted accessResearch articleFirst published October 16, 2019pp. 443–483
Corrigendum
Free accessCorrectionFirst published December 16, 2020pp. 484
Free accessCorrectionFirst published March 8, 2021pp. 485
Export citation
Facebook
X
LinkedIn
YouTube
RSS feed
Email alertsAlso from Sage
- CQ Library Elevating debateopens in new tab
- Sage Data Uncovering insightopens in new tab
- Sage Business Cases Shaping futuresopens in new tab
- Sage Campus Unleashing potentialopens in new tab
- Sage Knowledge Multimedia learning resourcesopens in new tab
- Sage Research Methods Supercharging researchopens in new tab
- Sage Video Streaming knowledgeopens in new tab
- Technology from Sage Library digital servicesopens in new tab