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Operationalizing relational turbulence theory: Measurement and construct validation

2017/10/17 by Denise Haunani Solomon, Kellie St.Cyr Brisini · 1 voice · 1 citation
Psychology · Social Sciences · #Attachment and Relationship Dynamics #Computer science #Construct (python library) #Developmental psychology #Epistemology #Evolutionary Psychology and Human Behavior #Likert scale #Marriage and Sexual Relationships #Operationalization #Optimal distinctiveness theory #Population #Psychology #Social psychology

paper · doi:10.1111/pere.12212

openalex publication_date 2017/10/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23

Abstract

Abstract This study assessed measures operationalizing concepts in relational turbulence theory (Solomon, Knobloch, Theiss, & McLaren, 2016). Studies of relational turbulence in marriage have used measures developed in research on dating couples; therefore, one goal was evaluating these variables in a general population sample of married individuals ( N = 1,469). A second goal addressed problems in measures of relational uncertainty by assessing alternative scales. Third, associations between relational turbulence theory variables and measures of cognitive, emotional, and communicative phenomena were estimated. Fourth, the distinctiveness of relational turbulence measures relative to measures of other relational qualities was assessed. The conclusions advance new, Likert relational uncertainty scales and highlight the validity of relational turbulence constructs as distinctive predictors of cognitions, emotions, and communication.

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