Measuring regulatory focus

K-REx Repository

Show simple item record

dc.contributor.author VanKrevelen, Steve
dc.date.accessioned 2017-08-07T20:21:03Z
dc.date.available 2017-08-07T20:21:03Z
dc.date.issued 2017-08-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/36210
dc.description.abstract Regulatory focus has emerged as an important construct in the organizational sciences. In the past ten years more than 200 papers have been published applying regulatory focus to a wide variety of contexts ranging from marketing and persuasion to feedback and performance appraisal (Johnson et al., 2015). Despite the ubiquity of RFT’s application, only a few studies have targeted the psychometric properties of measures of regulatory focus; and the findings thus far suggest that improvement is needed. Haws (2010) evaluated five measures of regulatory focus and concluded that they differed substantially with respect to their theoretical content, and that most demonstrated unacceptably low internal consistency. Summerville & Roese (2008) drew similar conclusions in their evaluation of the Regulatory Focus Questionnaire (RFQ) and the General Regulatory Focus Measure (GRFM) and added that the two scales might actually be measuring different underlying constructs. Given the inconsistencies and problems associated with existing measures of regulatory focus, the purpose of the current research is to extend the critical evaluation of existing measures of regulatory focus and then to propose the development of a new measure based on rigorous scale development practices like those set forth in Hinkin, (1995) and Crocker & Algina, (1986). A new scale of Regulatory Focus was developed designed to measure all aspects of RFT and to test whether a two-factor or a four-factor SEM model fit the data best. The final scale consisted of 14 items. CFAs were used to test whether a two-factor or a four-factor model of regulatory focus fit the data best. Results suggested that both models fit the data equally well. However, for parsimony reasons and given that one of the latent factors of the four-factor model contained only two items (making any estimates of internal consistency difficult) the two factor model of regulatory focus was retained as the preferred model. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Measurement en_US
dc.subject Motivation
dc.subject Regulatory focus
dc.subject Self regulation
dc.title Measuring regulatory focus en_US
dc.type Thesis en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Psychological Sciences en_US
dc.description.advisor Clive J. A. Fullagar en_US
dc.date.published 2017 en_US
dc.date.graduationmonth August en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

118 Hale Library

Manhattan KS 66506


(785) 532-7444

cads@k-state.edu