Common method biases in behavioral research: A critical review of the literature and recommended remedies.

Систематические методические искажения в поведенческих исследованиях: критический обзор литературы и рекомендуемые решения
Philip M. Podsakoff, Scott MacKenzie, Jeong Yeon Lee, Nathan P. Podsakoff
2003-01-01

behavioral researchcognitive processes influencing responsesmethod biasesprocedural remediesstatistical controls
Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
1
A range of procedural and statistical techniques exist to control method biases, and their suitability depends on research settings.
2
Method biases arise from identifiable sources and cognitive processes that influence responses to measures.
3
Method biases have a long-standing and significant influence on behavioral research results.
4
The article provides recommendations for selecting appropriate procedural and statistical remedies tailored to different types of research.
5
There is no existing comprehensive summary of potential sources of method biases and control strategies prior to this review.

Behavioral research studies (empirical investigations in the behavioral sciences)

Common method biases affecting behavioral research, including their sources, cognitive mechanisms, influence on responses, and procedural and statistical remedies to control them

Publication Details
Publication Date
2003-01-01
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Philip M. Podsakoff
Scott MacKenzie
Jeong Yeon Lee
Nathan P. Podsakoff
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%