Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies.
Joel S, Eastwick PW, Allison CJ, Arriaga XB, Baker ZG, Bar-Kalifa E, Bergeron S, Birnbaum GE, Brock RL, Brumbaugh CC, Carmichael CL, Chen S, Clarke J, Cobb RJ, Coolsen MK, Davis J, de Jong DC, Debrot A, DeHaas EC, Derrick JL, Eller J, Estrada MJ, Faure R, Finkel EJ, Fraley RC, Gable SL, Gadassi-Polack R, Girme YU, Gordon AM, Gosnell CL, Hammond MD, Hannon PA, Harasymchuk C, Hofmann W, Horn AB, Impett EA, Jamieson JP, Keltner D, Kim JJ, Kirchner JL, Kluwer ES, Kumashiro M, Larson G, Lazarus G, Logan JM, Luchies LB, MacDonald G, Machia LV, Maniaci MR, Maxwell JA, Mizrahi M, Muise A, Niehuis S, Ogolsky BG, Oldham CR, Overall NC, Perrez M, Peters BJ, Pietromonaco PR, Powers SI, Prok T, Pshedetzky-Shochat R, Rafaeli E, Ramsdell EL, Reblin M, Reicherts M, Reifman A, Reis HT, Rhoades GK, Rholes WS, Righetti F, Rodriguez LM, Rogge R, Rosen NO, Saxbe D, Sened H, Simpson JA, Slotter EB, Stanley SM, Stocker S, Surra C, Ter Kuile H, Vaughn AA, Vicary AM, Visserman ML, Wolf S.
Joel S, et al. Among authors: reblin m.
Proc Natl Acad Sci U S A. 2020 Aug 11;117(32):19061-19071. doi: 10.1073/pnas.1917036117. Epub 2020 Jul 27.
Proc Natl Acad Sci U S A. 2020.
PMID: 32719123
Free PMC article.
