Workshop Series: John Rossiter
You are cordially invited to attend the following seminar organised by the marketing cluster as part of the UQBS Distinguished Visitor Workshop Series. Research Professor John Rossiter of the Department of Management and Marketing at the University of Wollongong will be discussing his work on “How to Use C-OAR-SE to Design Multiple-Item and Single Item Measures.” John’s work tackles important problems in measurement and the presentation should be lively and challenging.
The seminar is open to all academics and research students. Please encourage your RHD students to attend.
The seminar will be followed by lunch at St Lucy's (12.30pm start).
After lunch, John is available to meet with interested RHD students and academic staff between 2-4pm. Please sign up for a time slot if you wish to schedule a meeting.
In their article, Bergkvist and Rossiter (Journal of Marketing Research, 44, 175–184, 2007) recommended marketing academics to use single-item instead of multiple-item measures for doubly concrete constructs. This recommendation was based on a study showing that the predictive validity of single-item measures was
comparable to that of multiple-item measures. Kamakura (2014) presents three criticisms of Bergkvist and Rossiter’s study: (1) The correlations used to evaluate predictive validity are inflated by the presence of common-methods variance in the data, (2) the study used concurrent validity as criterion rather than predictive validity, and (3) the multiple-item measures in the study were not corrected for attenuation. A re-analysis of the data from the original study refutes the claims made by Kamakura (2014). The analysis shows that the common-methods variance in the data was negligible and that predicting delayed measures rather than concurrent measures yielded virtually identical results as in the original study. It is also shown that it is possible to estimate single-item reliabilities and correct single-item measures for attenuation, which makes them as predictively valid as multiple-item measures. Thus, there is no reason to change the conclusions and recommendations made in Bergkvist and Rossiter’s (Journal of Marketing Research, 44, 175–184, 2007) article. The present article also shows that Kamakura’s (2014) analysis of consumer panel data has limitations which casts doubts upon the conclusions drawn from the analysis results. In addition, there is a discussion
of the cost, in terms of research quality, that researchers unnecessarily using multipleitems measures pay.