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Confirmatory factor analysis of the equity preference questionnaire
37
Citations
49
References
2009
Year
Behavioral Decision MakingSocial PsychologyConsumer ResearchEducationRevealed PreferencePsychometricsClassical Test TheoryEquity Preference QuestionnairePsychologySocial SciencesFactor AnalysisStructural Equation ModelingSocial IdentityBehavioral SciencesSample TwoApplied Social PsychologyMarketingPsychosocial ResearchEquity MetricPersonality PsychologySubjective Well-beingEquity SensitivityInterpersonal RelationshipsFamily PsychologyDecision Science
Purpose The purpose of this paper is to provide an analysis of the factor structure of the equity preference questionnaire (EPQ). Design/methodology/approach Individual level data are collected from two samples ( n 1 =382, n 2 =455) and subjected to confirmatory factor analysis of an a priori two‐factor structure for equity sensitivity. Sample two is randomly split and one half subjected to structural equation modeling. Findings Superior fit in both samples is found for a two‐factor structure compared to a one‐factor structure. Additionally, in sample two empathy, positive affectivity, and feminine gender role identity related differentially to the factors of entitlement and benevolence. Research limitations/implications Samples are comprise of college students. However, the average level of full‐time work experience (sample one 45.6 percent > 1 year, sample two mean 23.57 months) is large and the racial groups in sample two are diverse (76 percent non‐white). Additionally, the data are collected cross‐sectionally so causality cannot be inferred. Practical implications Entitlement and benevolence seem to be two different components of equity sensitivity. Thus, people can be high or low on one or both by choosing different comparison others in different situations. Originality/value Previous research has not used a confirmatory framework to analyze the EPQ, but rather it focuse on the relationship between scores on the EPQ and other variables or used exploratory factor analysis.
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