Method Variance in Organizational Research

Organizational Research Methods - Tập 9 Số 2 - Trang 221-232 - 2006
Paul E. Spector1
1University of South Florida

Tóm tắt

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 of design strategies.

Từ khóa


Tài liệu tham khảo

10.1037/0021-9010.89.6.1083

10.1037/0021-9010.73.2.193

10.1037/h0046016

10.1207/S15327043HUP1401_05

10.1207/s15327752jpa6901_10

10.1037/0021-9010.76.3.398

10.1016/S0191-8869(99)00192-0

10.1037/0021-9010.79.1.67

Doty, D. H., Society for Industrial and Organizational Psychology Conference

10.1177/109442819814002

10.1037/0021-9010.70.2.314

Frese, M., 1988, Causes, coping, and consequences of stress at work, 375

10.2307/256218

Lance, C. E., 2005, Performance measurement: Current perspectives and future challenges

10.1207/S15327043HUP1304_1

10.1037/0021-9010.86.1.114

10.1111/j.2044-8325.1992.tb00490.x

10.1037/0021-9010.81.6.660

10.1037/0021-9010.88.5.879

10.1177/014920638501100106

10.1037/h0021888

Rosenthal, R., 1969, Artifact in behavioral research

Shadish, W. R., 2002, Experimental and quasi-experimental designs for generalized causal inference

Shavelson, R. J., 1991, Generalizability theory: A primer

10.1037/0021-9010.72.3.438

10.1002/job.4030150503

Spector, P. E., 1995, International review of industrial and organizational psychology, 249

10.1348/096317999166608

10.1002/job.4030160108

10.1002/(SICI)1099-1379(200002)21:1<79::AID-JOB964>3.0.CO;2-G

10.1300/J075v08n02_09

10.1037/0021-9010.79.3.323

10.1006/obhd.1994.1011