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TOC: Org Res Methods

Introduction

Organizational Research Methods, 13(3)

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Relevant ARCategory:  


Common Method Issues: An Introduction to the Feature Topic in Organizational Research Methods
Paul E. Spector and Michael T. Brannick [] []

What Is Method Variance and How Can We Cope With It? A Panel Discussion
Michael T. Brannick, David Chan, James M. Conway, Charles E. Lance, and Paul E. Spector [] []

Method Variance From the Perspectives of Reviewers: Poorly Understood Problem or Overemphasized Complaint?
Victoria L. Pace [] []

Method Effects, Measurement Error, and Substantive Conclusions
Charles E. Lance, Bryan Dawson, David Birkelbach, and Brian J. Hoffman [] []

Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects
Enno Siemsen, Aleda Roth, and Pedro Oliveira [] []

Method Variance and Marker Variables: A Review and Comprehensive CFA Marker Technique
Larry J. Williams, Nathan Hartman, and Flavia Cavazotte [] []

Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind
Herman Aguinis, Steve Werner, JeAnna Lanza Abbott, Cory Angert, Joon Hyung Park, and Donna Kohlhausen [] []

A Comparison of Artificial Neural Networks and Multiple Regression in the Context of Research on Personality and Work Performance
Amirali Minbashian, Jim E. H. Bright, and Kevin D. Bird [] []

Interviewing Reluctant Respondents: Strikes, Henchmen, and Gaelic Games
Tony Dundon and Paul Ryan [] []

Size Does Matter: How Varying Group Sizes in a Sample Affect the Most Common Measures of Group Diversity
Torsten Biemann and Eric Kearney [] []

Book Reviews

Silverman, D. (2007). A Very Short, Fairly Interesting, and Reasonably Cheap Book ÂÜÀòÉç¹ÙÍøt Qualitative Research. Thousand Oaks, CA: Sage
Karen Locke [] []

Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic Data Analysis. New York: Guilford
Daniel A. Newman [] []

ten Have, P. (2007). Doing conversation analysis: A practical guide. Thousand Oaks, CA: Sage
Raza A. Mir [] []

Duncan, T. E., Duncan, S. C., & Strycker, L. A. (2006). An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. pp. 261. ISBN 0-8058-5547-5
David Chan [] []