Journal•ISSN: 1094-4281
Organizational Research Methods
SAGE Publishing
About: Organizational Research Methods is an academic journal published by SAGE Publishing. The journal publishes majorly in the area(s): Structural equation modeling & Item response theory. It has an ISSN identifier of 1094-4281. Over the lifetime, 766 publications have been published receiving 139751 citations. The journal is also known as: ORM.
Topics: Structural equation modeling, Item response theory, Qualitative research, Multilevel model, Context (language use)
Papers published on a yearly basis
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TL;DR: The four articles in this special section onMeta-analysis illustrate some of the complexities entailed in meta-analysis methods and contributes both to advancing this methodology and to the increasing complexities that can befuddle researchers.
Abstract: During the past 30 years, meta-analysis has been an indispensable tool for revealing the hidden meaning of our research literatures. The four articles in this special section on meta-analysis illus...
20,272 citations
TL;DR: In this paper, a systematic approach to new concept development and grounded theory articulation that is designed to bring "qualitative rigor" to the conduct and presentation of inductive research is presented.
Abstract: For all its richness and potential for discovery, qualitative research has been critiqued as too often lacking in scholarly rigor. The authors summarize a systematic approach to new concept development and grounded theory articulation that is designed to bring “qualitative rigor” to the conduct and presentation of inductive research.
6,189 citations
TL;DR: The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, invariance of structura, etc.).
Abstract: The establishment of measurement invariance across groups is a logical prerequisite to conducting substantive cross-group comparisons (e.g., tests of group mean differences, invariance of structura...
6,086 citations
TL;DR: The authors argued that the popular position that common method variance automatically affects variables measured with the same method is a distortion and oversimplification of the true state of affairs, reaching the status of urban legend.
Abstract: It has become widely accepted that correlations between variables measured with the same method, usually self-report surveys, are inflated due to the action of common method variance (CMV), despite a number of sources that suggest the problem is overstated. The author argues that the popular position suggesting CMV automatically affects variables measured with the same method is a distortion and oversimplification of the true state of affairs, reaching the status of urban legend. Empirical evidence is discussed casting doubt that the method itself produces systematic variance in observations that inflates correlations to any significant degree. It is suggested that the term common method variance be abandoned in favor of a focus on measurement bias that is the product of the interplay of constructs and methods by which they are assessed. A complex approach to dealing with potential biases involves their identification and control to rule them out as explanations for observed relationships using a variety ...
3,264 citations
TL;DR: The use of interrater reliability (IRR) and intra-arrater agreement (IRA) indices has increased dramatically during the past 20 years as mentioned in this paper, at least in part because of the increased role of multilevel modeling techniques (e.g., hierarchical linear modeling and multi-level structural equation modeling) in organizational research.
Abstract: The use of interrater reliability (IRR) and interrater agreement (IRA) indices has increased dramatically during the past 20 years. This popularity is, at least in part, because of the increased role of multilevel modeling techniques (e.g., hierarchical linear modeling and multilevel structural equation modeling) in organizational research. IRR and IRA indices are often used to justify aggregating lower-level data used in composition models. The purpose of the current article is to expose researchers to the various issues surrounding the use of IRR and IRA indices often used in conjunction with multilevel models. To achieve this goal, the authors adopt a question-and-answer format and provide a tutorial in the appendices illustrating how these indices may be computed using the SPSS software.
2,775 citations