Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

S. Joel; P. W. Eastwick; C. Allison; X. B. Arriaga; Z. G. Baker; E. Bar-Kalifa; S. Bergeron; G. Birnbaum; C. C. Brumbaugh; C. L. Carmichael; S. Chen; J. Clarke; R. J. Cobb; M. K. Coolsen; J. Davis; D. C. de Jong; A. Debrot; J. L. Derrick; M. J. Estrada; R. Faure; E. J. Finkel; R. C. Fraley; S. L. Gable; Y. Girme; A. M. Gordon; C. Gosnell; M. D. Hammond; P. A. Hannon; C. Harasymchuk; W. Hofmann; A. B. Horn; E. A. Impett; J. P. Jamieson; D. Keltner; J. Kim; J. L. Kirchner; E. Klewer; T. Kuile; M. Kumashiro; G. Larson; G. Lazarus; J. M. Logan; L. Luchies; G. MacDonald; M. R. Maniaci; J. A. Maxwell; M. Mizrahi; A. Muise; Sylvia Niehuis; B. G. Ogolsky; Cary Oldham; N. C. Overall; M. Perrez; B. J. Peters; P. R. Pietromonaco; S. I. Powers; T. Prok; R. Pschedetzky-Schochat; E. Rafaeli; E. Ramsdell; M. Reblin; Alan Reifman; M. Reiherts; H. T. Reis; G. Rhoades; W. Rholes; F. Righetti; L. M. Rodriguez; R. Rogge; N. Rosen; D. Saxbe; H. Sened; J. A. Simpson; E. B. Slotter; S. Stanley; S. Stocker; C. Surra; L. VanderDrift; A. A. Vaughn; A. Vicary; M. Visserman; S. Wolf

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

S. Joel, P. W. Eastwick, C. Allison, X. B. Arriaga, Z. G. Baker, E. Bar-Kalifa, S. Bergeron, G. Birnbaum, C. C. Brumbaugh, C. L. Carmichael, S. Chen, J. Clarke, R. J. Cobb, M. K. Coolsen, J. Davis, D. C. de Jong, A. Debrot, J. L. Derrick, M. J. Estrada, R. FaureE. J. Finkel, R. C. Fraley, S. L. Gable, Y. Girme, A. M. Gordon, C. Gosnell, M. D. Hammond, P. A. Hannon, C. Harasymchuk, W. Hofmann, A. B. Horn, E. A. Impett, J. P. Jamieson, D. Keltner, J. Kim, J. L. Kirchner, E. Klewer, T. Kuile, M. Kumashiro, G. Larson, G. Lazarus, J. M. Logan, L. Luchies, G. MacDonald, M. R. Maniaci, J. A. Maxwell, M. Mizrahi, A. Muise, Sylvia Niehuis, B. G. Ogolsky, Cary Oldham, N. C. Overall, M. Perrez, B. J. Peters, P. R. Pietromonaco, S. I. Powers, T. Prok, R. Pschedetzky-Schochat, E. Rafaeli, E. Ramsdell, M. Reblin, Alan Reifman, M. Reiherts, H. T. Reis, G. Rhoades, W. Rholes, F. Righetti, L. M. Rodriguez, R. Rogge, N. Rosen, D. Saxbe, H. Sened, J. A. Simpson, E. B. Slotter, S. Stanley, S. Stocker, C. Surra, L. VanderDrift, A. A. Vaughn, A. Vicary, M. Visserman, S. Wolf

Human Development and Family Studies

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	-- Impact Factor 10.62
Journal	Proceedings of the National Academy of Sciences of the U.S.A.
State	Published - 2020

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Joel, S., Eastwick, P. W., Allison, C., Arriaga, X. B., Baker, Z. G., Bar-Kalifa, E., Bergeron, S., Birnbaum, G., Brumbaugh, C. C., Carmichael, C. L., Chen, S., Clarke, J., Cobb, R. J., Coolsen, M. K., Davis, J., Jong, D. C. D., Debrot, A., Derrick, J. L., Estrada, M. J., ... Wolf, S. (2020). Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies. Proceedings of the National Academy of Sciences of the U.S.A., -- Impact Factor 10.62.

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author = "S. Joel and Eastwick, {P. W.} and C. Allison and Arriaga, {X. B.} and Baker, {Z. G.} and E. Bar-Kalifa and S. Bergeron and G. Birnbaum and Brumbaugh, {C. C.} and Carmichael, {C. L.} and S. Chen and J. Clarke and Cobb, {R. J.} and Coolsen, {M. K.} and J. Davis and Jong, {D. C. de} and A. Debrot and Derrick, {J. L.} and Estrada, {M. J.} and R. Faure and Finkel, {E. J.} and Fraley, {R. C.} and Gable, {S. L.} and Y. Girme and Gordon, {A. M.} and C. Gosnell and Hammond, {M. D.} and Hannon, {P. A.} and C. Harasymchuk and W. Hofmann and Horn, {A. B.} and Impett, {E. A.} and Jamieson, {J. P.} and D. Keltner and J. Kim and Kirchner, {J. L.} and E. Klewer and T. Kuile and M. Kumashiro and G. Larson and G. Lazarus and Logan, {J. M.} and L. Luchies and G. MacDonald and Maniaci, {M. R.} and Maxwell, {J. A.} and M. Mizrahi and A. Muise and Sylvia Niehuis and Ogolsky, {B. G.} and Cary Oldham and Overall, {N. C.} and M. Perrez and Peters, {B. J.} and Pietromonaco, {P. R.} and Powers, {S. I.} and T. Prok and R. Pschedetzky-Schochat and E. Rafaeli and E. Ramsdell and M. Reblin and Alan Reifman and M. Reiherts and Reis, {H. T.} and G. Rhoades and W. Rholes and F. Righetti and Rodriguez, {L. M.} and R. Rogge and N. Rosen and D. Saxbe and H. Sened and Simpson, {J. A.} and Slotter, {E. B.} and S. Stanley and S. Stocker and C. Surra and L. VanderDrift and Vaughn, {A. A.} and A. Vicary and M. Visserman and S. Wolf",

year = "2020",

language = "English",

pages = "---- Impact Factor 10.62",

journal = "Proceedings of the National Academy of Sciences of the U.S.A.",

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Joel, S, Eastwick, PW, Allison, C, Arriaga, XB, Baker, ZG, Bar-Kalifa, E, Bergeron, S, Birnbaum, G, Brumbaugh, CC, Carmichael, CL, Chen, S, Clarke, J, Cobb, RJ, Coolsen, MK, Davis, J, Jong, DCD, Debrot, A, Derrick, JL, Estrada, MJ, Faure, R, Finkel, EJ, Fraley, RC, Gable, SL, Girme, Y, Gordon, AM, Gosnell, C, Hammond, MD, Hannon, PA, Harasymchuk, C, Hofmann, W, Horn, AB, Impett, EA, Jamieson, JP, Keltner, D, Kim, J, Kirchner, JL, Klewer, E, Kuile, T, Kumashiro, M, Larson, G, Lazarus, G, Logan, JM, Luchies, L, MacDonald, G, Maniaci, MR, Maxwell, JA, Mizrahi, M, Muise, A, Niehuis, S, Ogolsky, BG, Oldham, C, Overall, NC, Perrez, M, Peters, BJ, Pietromonaco, PR, Powers, SI, Prok, T, Pschedetzky-Schochat, R, Rafaeli, E, Ramsdell, E, Reblin, M, Reifman, A, Reiherts, M, Reis, HT, Rhoades, G, Rholes, W, Righetti, F, Rodriguez, LM, Rogge, R, Rosen, N, Saxbe, D, Sened, H, Simpson, JA, Slotter, EB, Stanley, S, Stocker, S, Surra, C, VanderDrift, L, Vaughn, AA, Vicary, A, Visserman, M & Wolf, S 2020, 'Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies', Proceedings of the National Academy of Sciences of the U.S.A., pp. -- Impact Factor 10.62.

TY - JOUR

T1 - Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

AU - Joel, S.

AU - Eastwick, P. W.

AU - Allison, C.

AU - Arriaga, X. B.

AU - Baker, Z. G.

AU - Bar-Kalifa, E.

AU - Bergeron, S.

AU - Birnbaum, G.

AU - Brumbaugh, C. C.

AU - Carmichael, C. L.

AU - Chen, S.

AU - Clarke, J.

AU - Cobb, R. J.

AU - Coolsen, M. K.

AU - Davis, J.

AU - Jong, D. C. de

AU - Debrot, A.

AU - Derrick, J. L.

AU - Estrada, M. J.

AU - Faure, R.

AU - Finkel, E. J.

AU - Fraley, R. C.

AU - Gable, S. L.

AU - Girme, Y.

AU - Gordon, A. M.

AU - Gosnell, C.

AU - Hammond, M. D.

AU - Hannon, P. A.

AU - Harasymchuk, C.

AU - Hofmann, W.

AU - Horn, A. B.

AU - Impett, E. A.

AU - Jamieson, J. P.

AU - Keltner, D.

AU - Kim, J.

AU - Kirchner, J. L.

AU - Klewer, E.

AU - Kuile, T.

AU - Kumashiro, M.

AU - Larson, G.

AU - Lazarus, G.

AU - Logan, J. M.

AU - Luchies, L.

AU - MacDonald, G.

AU - Maniaci, M. R.

AU - Maxwell, J. A.

AU - Mizrahi, M.

AU - Muise, A.

AU - Niehuis, Sylvia

AU - Ogolsky, B. G.

AU - Oldham, Cary

AU - Overall, N. C.

AU - Perrez, M.

AU - Peters, B. J.

AU - Pietromonaco, P. R.

AU - Powers, S. I.

AU - Prok, T.

AU - Pschedetzky-Schochat, R.

AU - Rafaeli, E.

AU - Ramsdell, E.

AU - Reblin, M.

AU - Reifman, Alan

AU - Reiherts, M.

AU - Reis, H. T.

AU - Rhoades, G.

AU - Rholes, W.

AU - Righetti, F.

AU - Rodriguez, L. M.

AU - Rogge, R.

AU - Rosen, N.

AU - Saxbe, D.

AU - Sened, H.

AU - Simpson, J. A.

AU - Slotter, E. B.

AU - Stanley, S.

AU - Stocker, S.

AU - Surra, C.

AU - VanderDrift, L.

AU - Vaughn, A. A.

AU - Vicary, A.

AU - Visserman, M.

AU - Wolf, S.

PY - 2020

Y1 - 2020

M3 - Article

SP - -- Impact Factor 10.62

JO - Proceedings of the National Academy of Sciences of the U.S.A.

JF - Proceedings of the National Academy of Sciences of the U.S.A.

ER -

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

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