http://hdl.handle.net/2092/412 Publications submitted by the faculty members of the Department of Marketing. Sat, 07 Jul 2012 17:19:26 GMT 2012-07-07T17:19:26Z http://hdl.handle.net/2092/497 "The pass-along effect: investigating word-of-mouth effects on online survey procedures" Norman, Andrew T.; Russell, Cristel Antonia Email petitions to complete online surveys may be forwarded beyond the intended sample. We term this phenomenon the pass-along effect and investigate it as a factor that can influence the nature and size of survey samples in an online context. We establish the pass-along effect as a form of word-of-mouth communication and draw from the literature in this area to present and test a model of factors that influence the occurrence of this effect. The results of two studies provide empirical support for the existence and impact of the pass-along effect. Among the factors that lead to this effect are involvement and relationship with the survey topic, size of a participant’s social network, and tie strength. The appropriateness of employing pass-along respondents as well as other implications for online sampling and survey research are discussed. Andrew T. Norman is a professor of marketing in the College of Business and Public Administration at Drake University. He can be contacted at andrew.norman@drake.edu Sat, 01 Jul 2006 00:00:00 GMT http://hdl.handle.net/2092/497 2006-07-01T00:00:00Z http://hdl.handle.net/2092/496 "The consumption of television programming: development and validation of the connectedness scale" Russell, Cristel Antonia; Norman, Andrew T.; Heckler, Susan E. The consumption of television programming is of particular interest to consumer researchers because of the potential influence of television characters as referent others. Connectedness characterizes the intensity of the relationship(s) that viewers develop with television programs and their characters. We describe a threephased research program that develops and presents preliminary validation of a measure of connectedness. We differentiate connectedness from the related but distinct constructs of attitude and involvement. The potential of the connectedness scale to further our understanding of the consumption of television programming and its psychological and sociological effects on viewers are articulated and tested in a series of studies. Andrew T. Norman is a professor of marketing in the College of Business and Public Administration at Drake University. He can be contacted at andrew.norman@drake.edu Tue, 01 Jun 2004 00:00:00 GMT http://hdl.handle.net/2092/496 2004-06-01T00:00:00Z http://hdl.handle.net/2092/414 "Construct validity and other issues pertaining to 'The impact of research designs on R_ in linear regression models: An exploratory meta-analysis'" Hubbard, Raymond Introduction:I initially commented on Heribert Reisinger's (1997) paper, "The impact of research designs on R2 in linear regression models: An exploratory meta-analysis," in a double-blind review context. Some of my comments are incorporated in his present paper, while others are not. Unfortunately, my major original criticism of Reisinger's work, namely, that it suffers from serious construct validity problems, has not been addressed in the revised version of the manuscript. This is because it is all but impossible to do so. Nevertheless, the construct validity problems in Reisinger's paper impede any meaningful interpretation of his meta-analytic results. This issue is discussed below. Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Business and Public Administration at Drake University. He can be contacted at: raymond.hubbard@drake.edu Wed, 01 Jan 1997 00:00:00 GMT http://hdl.handle.net/2092/414 1997-01-01T00:00:00Z http://hdl.handle.net/2092/413 "Why we don't really know what statistical significance means: Implications for educators" Hubbard, Raymond; Armstrong, J. Scott In marketing journals and market research textbooks, two concepts of statistical significance - p values and α levels - are commonly mixed together. This is unfortunate because they each have completely different interpretations. The upshot is that many investigators are confused over the meaning of statistical significance. We explain how this confusion has arisen and make several suggestions to teachers and researchers about how to overcome it. © 2006 Sage Publications. Raymond Hubbard is the Thomas M. Sheehan Distinguished Professor of Marketing in the College of Business and Public Administration at Drake University. He can be contacted at: raymond.hubbard@drake.edu Fri, 15 Sep 2006 19:29:30 GMT http://hdl.handle.net/2092/413 2006-09-15T19:29:30Z