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Cited by 312

The DOI matches its Crossref record; 193 of the 193 references it cites were found in a registry or an index.

Experimental designs in management and leadership research: Strengths, limitations, and recommendations for improving publishability

Podsakoff, Philip M., Podsakoff, Nathan P.·2019·The Leadership Quarterly

Abstract

Abstract Despite the renewed interest in the use of experimental designs in the fields of leadership and management over the past few decades, these designs are still relatively underutilized. Although there are several potential reasons for this, chief among them is misunderstanding the value of these designs. The purpose of this article is to review the role of laboratory, field, and quasi-experimental designs in management and leadership research. We first discuss the primary goals of experimental studies. Next, we examine the characteristics of experimental designs and how to distinguish laboratory, field, and quasi-experiments from one another and from non-experimental studies. Following these discussions, we provide examples of each type of experimental design and discuss their relative strengths and limitations. Finally, we discuss steps that researchers can take to increase the probability of having articles reporting experiments accepted by leadership and management journals.

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Metadata

Authors
Podsakoff, P. M., & Podsakoff, N. P.
Venue
The Leadership Quarterly
Publisher
Elsevier BV
Published
2019-02
Volume
30
Issue
1
Pages
11-33
ISSN
1048-9843 (ISSN-L)
OpenAlex
W2901476464
Cited by
312
References
193
FWCI
14.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Experimental designs in management and leadership research: Strengths, limitations, and recommendations for improving publishability. https://app.cochat.ai/papers/10.1016/j.leaqua.2018.11.002
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Podsakoff, P. M., & Podsakoff, N. P. (2019). Experimental designs in management and leadership research: Strengths, limitations, and recommendations for improving publishability. The Leadership Quarterly. https://doi.org/10.1016/j.leaqua.2018.11.002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.