2022
DOI: 10.1177/02654075221074677
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A primer on studying effects of relationship duration in dyadic research: Contrasting cross-sectional and longitudinal approaches

Abstract: There has been increasing interest in the analysis of dyadic data. While there is ongoing progress in the development of statistically fine-grained methods to model complex dyadic data, many studies examine relationship duration in dyads using cross-sectional data (e.g., when testing the effects of acquaintanceship on the accuracy of personality judgments). We discuss the theoretical and methodological implications of analyzing and interpreting time-based variables in dyadic research on basis of the cross-sect… Show more

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Cited by 12 publications
(8 citation statements)
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“…This is not surprising, as a recent meta-analysis with longitudinal studies from the general (i.e., presumably mostly heterosexual) population found evidence for non-linear relations between relationship satisfaction and age and relationship length respectively (Bühler et al, 2021 ). Thus, our cross-sectional, between-person design (as well as evidence cited above) does not allow for an understanding of the longitudinal, within-person (and within-couple) effects of these variables on relationship quality (see Brauer et al, 2022 , for an in-depth discussion).…”
Section: Discussionmentioning
confidence: 99%
“…This is not surprising, as a recent meta-analysis with longitudinal studies from the general (i.e., presumably mostly heterosexual) population found evidence for non-linear relations between relationship satisfaction and age and relationship length respectively (Bühler et al, 2021 ). Thus, our cross-sectional, between-person design (as well as evidence cited above) does not allow for an understanding of the longitudinal, within-person (and within-couple) effects of these variables on relationship quality (see Brauer et al, 2022 , for an in-depth discussion).…”
Section: Discussionmentioning
confidence: 99%
“…For the relations between SOA and acquaintanceship length and intensity, we expected to find support for the acquaintanceship effect (i.e., higher agreement in dyads who had been acquainted longer). Literature suggests that the development of SOA over time is nonlinear, with a stronger increase in the early stages of relationships compared to later stages (Brauer et al, 2022a). To account for this, we employed polynomial regression analyses (response surface analyses; RSA) instead of a linear analysis approach.…”
Section: The Present Studymentioning
confidence: 99%
“…However, due to lack of long-term data, causality cannot be established. Our data only permit comparisons between couples, not within couples (Brauer et al, 2022). Though, the length of relationship might be related to relationship quality independent of sexual satisfaction.…”
Section: Discussionmentioning
confidence: 93%