Method Variance: Problems, Preventatives and Remedies Michael Brannick, Session Chair University of South Florida.

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Presentation transcript:

Method Variance: Problems, Preventatives and Remedies Michael Brannick, Session Chair University of South Florida

Format of Session During the intro, you may write a question or remark for the panelists to address and give to Brannick just prior to panel remarks Intro to panel Panel addresses prepared questions Panel addresses your questions Open discussion

Panelists David Chan Chuck Lance Paul Spector Larry Williams

Question 1 What is method variance? (Chan)

Question 2 If you have received criticism from reviewers that your work suffered from method variance, what was the circumstance? (Lance)

Question 3 If you have criticized someone’s work for method variance in your role as reviewer, what was the circumstance? (Spector)

Question 4 When a reviewer complains about method variance, what is the essence of the complaint? What do you think they really mean? (Williams)

Question 5 Suppose you have completed a study (perhaps an organizational survey) and submitted it for review. You receive a complaint from a reviewer that your interpretation of the relations between variables could be spurious and due to method variance. What is the best response to such a criticism? (Chan)

Question 6 Is there a particular method of data analysis that you would recommend as a means of demonstrating that method variance is not of great concern for a given dataset? (Lance)

Question 7 If you are worried about method variance before you collect data, what sort of design elements might you include to reduce or eliminate the threat of method variance? (Spector)

Question 8 Three main approaches to rebutting the argument that observed relations are spurious are (1) pairing a self- report variable with a variable that is not self-reported, (2) removing the effect of a specific, hypothesized alternative explanatory variable (e.g., partial Negative Affectivity from commitment and job satisfaction), and (3) general partialling methods (e.g., partial the first principal component, or subtract the lowest observed correlation among the set of variables measured in the survey). Comments on any of these? (Williams)

Question 9 What do you think is the most constructive thing that could be done now to resolve discussions and disputes about method variance? (Chan)

Audience Questions From handouts If time remains, open discussion