TABLE 4.

Specification of fixed effects for final models for each predictor variable. All models included a random couple intercept to account for nesting of contexts in couples.

Predictor	Final model
Love	Profile contexti, dyad j = π0j + π20 (Average love) + π30 (Partner difference in love)
Conflict	Profile contexti, dyad j = π0j + π20 (Average conflict) + π30 (Partner difference in conflict)
Sexual satisfaction	Profile contexti, dyad j = π0j + π10 (Context) + π20 (Average sex satisfaction) + π30 (Partner difference in sex satisfaction) + π40 (Context) × (Average sex satisfaction)
Commitment	Profile contexti, dyad j = π0j + π10 (Context) + π20 (Average commitment) + π30 (Partner difference in commitment) + π40 (Context) × (Average commitment)
Relationship length	Profile contexti, dyad j = π0j + π10 (Context) + π20 (Relationship length)