What question did this study set out to answer?

To determine if various relationship measures are distinct or if they reflect a common underlying factor.

April 3, 2026PLoS ONEOpen Access

Predicting relationship quality with itself? A single general factor captures most of the variance across 34 common relationship measures

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Analysis reveals a single factor captures relationship quality in census-matched participants, suggesting a response bias.

To determine if various relationship measures are distinct or if they reflect a common underlying factor.
Examined relationship constructs using latent variable techniques.
Conducted exploratory bifactor analysis on relationship-specific items.
Utilized a large sample of US census-matched participants.
Found that a single general factor accounts for most variance in relationship measures.
Identified a relationship-specific response bias undermining self-report methods.
Confirmed that global evaluations significantly influence the perception of relationship facets.

Kim et al. (2026) studied this question.

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