Multilevel Methods and Statistics: The Next Frontier. (April 2021)

• Record Type: Journal Article
• Authors: Eckardt, Rory; Yammarino, Francis J.; Dionne, Shelley D.; Spain, Seth M.
• Is Part Of: Organizational research methods. Volume 24:Number 2(2021)
• Page Start: 187
• Page End: 218
• Publication Date: 2021-04
• Subjects: quantitative -- multilevel research -- cross-level analysis -- aggregation -- computational modeling; Organization -- Research -- Methodology -- Periodicals; Organizational sociology -- Research -- Methodology -- Periodicals; Management -- Research -- Methodology -- Periodicals; 302.350721
• DOI: 10.1177/1094428120959827
• Languages: English
• ISSNs: 1094-4281

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 organizational sciences is provided, as well as a discussion of recent developments to summarize the current state of the science. The eight articles in the current feature topic are also summarized and integrated to depict several themes and directions for the next wave of multilevel methods and statistics. Last, to highlight what still needs to be accomplished in the field, several unresolved issues and future research topics are noted and an agenda related to future multilevel work is discussed.