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我教了方法论这么多年,podsakoff 的这篇文章我当然读过。你有兴趣的话,还可以读读下面的其他文献。这是我的课程中关于CMV的阅读要求。
9 d( R! R; t8 \01. Spector, P.E., & Brannick, M.T. (2010). Common method issues: An introduction to the feature topic in organizational research methods. Organizational Research Methods, 13(3), 403-406.
- y- T) n4 \7 @! m | e i* e02. Siemsen, E., Roth, A., & Oliveira, P. (2010). Common Method Bias in regression models with linear, quadratic, and interaction effects. Organizational Research Methods, 13(3), 456-476.
9 a+ o& {7 }+ D9 C* g, F4 e j1 @03. Richardson, H.A., Simmering, M.J., & Sturman, M.C. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762-800., S5 ?; x9 e9 ^3 C4 E- p
04. Lance, C.E., Dawson, B., Birkelbach, D., & Hoffman, B.J. (2010). Method effects, measurement error, and substantive conclusions. Organizational Research Methods, 13(3),435-455.
5 X, Q9 u/ o" K* ]2 u) Q5 d05. Brannick, M.T., Chan, D., Conway, J.M., Lance, C.E., & Spector, P.E. (2010). What is method variance and how can we cope with it? A panel discussion. Organizational Research Methods, 13(3), 407-420.
$ s3 v8 h- c+ a l0 b; L06. William, L.J., Hartman, N., & Cavazotte, F. (2010). Method variance and marker variables: A review and comprehensive CFA marker technique. Organizational Research Methods, 13(3), 477-514.
: L, t1 p& I( ?/ R5 [) T$ \* R07. Pace, V.L. (2010). Method variance from the perspectives of reviewers: Poorly understood problem or overemphasized complaint? Organizational Research Methods, 13(3), 421-434.
4 a; X& z5 b! c: k! O08. Spector, P.E. (2008). Method variance in organizational research: Truth or urban legend? Organizational Research Methods, 9(2), 221-232.
1 M( }) N: g% D2 g09. Malhotra, N.K., Kim, S.S., & Patil, A. (2006) Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.' d2 d; s/ r( j7 P* E( K
10. Podsakoff, P.M., MacKenzie, S.B., Lee, J., & Podsakoff, N.P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.; v1 ?/ U$ u. N
11.Vandenberg, R.J. (2006) Statistical and methodological myths and urban legends: Where, pray tell, did they get this idea? Organizational Research Methods,9(2), 194-201.3 U) o1 F. U9 i0 I: S+ k
12. Kline, T.J.B., Sulsky, L.M., & Rever-Moriyama, S.D. (2000). Common method variance and specification errors: A practical approach to detection. The Journal of Psychology, 134(4), 401-0421.
/ R; t- Y5 l0 [* q1 }+ k13. Bollen, K.A. & Paxton, P. (1998). Detection and determinants of bias in subjective measures. American Sociological Review, 63, 465-478.
2 V. K9 Y) N9 G8 I, ^14. Boone, C. & Brabander, B. (1997). Self-reports and CEO locus of control research: A note. Organization Studies, 18(6), 949-971.& z Z! e) J0 |) b7 ]! N0 {
15. Spector, P.E. (1994). Using self-report questionnaires in OB research: A comment on the use of a controversial method. Journal of Organizational Behavior, 15(5), 385-392.
; t" K" i$ C) M; z16. Williams, L.J., Cote, J.A. & Buckley, M.R. (1989). Lack of method variance in self-reported affect and perceptions at work: Reality or artifact? Journal of Applied Psychology, 74(3), 462-468.
9 y- W3 g2 `- q# ]17. Spector, P.E. (1992). A consideration of the validity and meaning of self-report measures of job conditions. International Review of Industrial and Organizational Psychology, 7, 123-151.* [+ [3 e* R0 ?; m1 J6 g1 B- Y
18. Spector, P.E. (1987). Method variance as an artifact in self-reported affect and perceptions at work: Myth or significant problem? Journal of Applied Psychology, 72(3), 438-443.; Y0 h, `& G9 k0 O
19. Sharma, R., Yetton, P., & Crawford, J. (2009). Estimating the effect of common method variance: The method-method pair technique with an illustration from TAM research. MIS Quarterly, 33(3), 473-490.# K5 ?! [0 P- h( D8 H. V5 Q
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请不要忘记,你引的文章是在2003年发表的,距离现在已经是 10 年了。那时候的研究要求如何和现在的方法相比呢?( j8 {- V" C& U/ U
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当然我不代表所有的一级期刊的评委,我只是提出我的观察而已。不过,我觉得我倒有点证据的。你可以看看在最近五年的一级期刊中,看看有多少文章是用同源和 cross-sectional 的方法来收集数据的?这个事实是客观的,总比我们在这里用口来辩为准确吧。+ N. ?5 _% ^) {. S" k" p9 d; \( b
5 \/ ]- M0 n! @: D$ x) Z不过话说回来,管理界对 CMV 的问题的要求,确实比很多其他的社会科学为高。我不知道这是不是好事。我个人对 CMV 的统计处理方法很有保留。最大的问题是现在连同源所产生的问题都不知道,何来谈同源方差的 “假设” 和统计控制呢?。就算现在的 longitudianl measure (就是 X 是 time 1, M 是 time 2, Y 是 time3 的测量) 我觉得都不是一个好的方法。如果一定要同源的话,以我有限的统计知识,我会比较接受用 longitudinal data, 在从其中 partial out rater effect (比如是 latent growth model 等方法)。 |
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