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An assessment of the use of structural equation modeling in strategic management research
by
Kacmar, K. Michele
, Shook, Christopher L.
, Ketchen, David J.
, Hult, G. Tomas M.
in
Computer software
/ Corporate strategies
/ Covariance
/ Covariance matrices
/ Cronbach's alpha
/ Data analysis
/ Economic models
/ Economic structure
/ Management
/ Management science
/ Market structure analysis
/ Marketing
/ Mathematical models
/ Methodology
/ Model testing
/ Modeling
/ Research Notes and Commentaries
/ Researchers
/ Sample size
/ Sampling distributions
/ Statistical methods
/ Strategic management
/ Strategic planning
/ Structural equation modeling
/ Structural equation models
/ Studies
/ Validity
/ Variables
2004
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An assessment of the use of structural equation modeling in strategic management research
by
Kacmar, K. Michele
, Shook, Christopher L.
, Ketchen, David J.
, Hult, G. Tomas M.
in
Computer software
/ Corporate strategies
/ Covariance
/ Covariance matrices
/ Cronbach's alpha
/ Data analysis
/ Economic models
/ Economic structure
/ Management
/ Management science
/ Market structure analysis
/ Marketing
/ Mathematical models
/ Methodology
/ Model testing
/ Modeling
/ Research Notes and Commentaries
/ Researchers
/ Sample size
/ Sampling distributions
/ Statistical methods
/ Strategic management
/ Strategic planning
/ Structural equation modeling
/ Structural equation models
/ Studies
/ Validity
/ Variables
2004
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Do you wish to request the book?
An assessment of the use of structural equation modeling in strategic management research
by
Kacmar, K. Michele
, Shook, Christopher L.
, Ketchen, David J.
, Hult, G. Tomas M.
in
Computer software
/ Corporate strategies
/ Covariance
/ Covariance matrices
/ Cronbach's alpha
/ Data analysis
/ Economic models
/ Economic structure
/ Management
/ Management science
/ Market structure analysis
/ Marketing
/ Mathematical models
/ Methodology
/ Model testing
/ Modeling
/ Research Notes and Commentaries
/ Researchers
/ Sample size
/ Sampling distributions
/ Statistical methods
/ Strategic management
/ Strategic planning
/ Structural equation modeling
/ Structural equation models
/ Studies
/ Validity
/ Variables
2004
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An assessment of the use of structural equation modeling in strategic management research
Journal Article
An assessment of the use of structural equation modeling in strategic management research
2004
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Overview
Structural equation modeling (SEM) is a powerful, yet complex, analytical technique. The use of SEM to examine strategic management phenomena has increased dramatically in recent years, suggesting that a critical evaluation of the technique's implementation is needed. We compared the use of SEM in 92 strategic management studies published in nine prominent journals from 1984 to 2002 to guidelines culled from methodological research. We found that the use and reporting of SEM often have been less than ideal, indicating that authors may be drawing erroneous conclusions about relationships among variables. Given these results, we offer suggestions for researchers on how to better deploy SEM within future inquiry.
Publisher
John Wiley & Sons, Ltd,John Wiley and Sons,Wiley Periodicals Inc
Subject
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