C. Rebecca Oldham

Verified email at mtsu.edu

Assistant Professor
Middle Tennessee State University



                                              

http://researchid.co/croldham
1

Scopus Publications

45

Scholar Citations

5

Scholar h-index

Scopus Publications

  • Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
    Samantha Joel, Paul W. Eastwick, Colleen J. Allison, Ximena B. Arriaga, Zachary G. Baker, Eran Bar-Kalifa, Sophie Bergeron, Gurit E. Birnbaum, Rebecca L. Brock, Claudia C. Brumbaugh, Cheryl L. Carmichael, Serena Chen, Jennifer Clarke, Rebecca J. Cobb, Michael K. Coolsen, Jody Davis, David C. de Jong, Anik Debrot, Eva C. DeHaas, Jaye L. Derrick, Jami Eller, Marie-Joelle Estrada, Ruddy Faure, Eli J. Finkel, R. Chris Fraley, Shelly L. Gable, Reuma Gadassi-Polack, Yuthika U. Girme, Amie M. Gordon, Courtney L. Gosnell, Matthew D. Hammond, Peggy A. Hannon, Cheryl Harasymchuk, Wilhelm Hofmann, Andrea B. Horn, Emily A. Impett, Jeremy P. Jamieson, Dacher Keltner, James J. Kim, Jeffrey L. Kirchner, Esther S. Kluwer, Madoka Kumashiro, Grace Larson, Gal Lazarus, Jill M. Logan, Laura B. Luchies, Geoff MacDonald, Laura V. Machia, Michael R. Maniaci, Jessica A. Maxwell, Moran Mizrahi, Amy Muise, Sylvia Niehuis, Brian G. Ogolsky, C. Rebecca Oldham, Nickola C. Overall, Meinrad Perrez, Brett J. Peters, Paula R. Pietromonaco, Sally I. Powers, Thery Prok, Rony Pshedetzky-Shochat, Eshkol Rafaeli, Erin L. Ramsdell, Maija Reblin, Michael Reicherts, Alan Reifman, Harry T. Reis, Galena K. Rhoades, William S. Rholes, Francesca Righetti, Lindsey M. Rodriguez, Ron Rogge, Natalie O. Rosen, Darby Saxbe, Haran Sened, Jeffry A. Simpson, Erica B. Slotter, Scott M. Stanley, Shevaun Stocker, Cathy Surra, Hagar Ter Kuile, Allison A. Vaughn, Amanda M. Vicary, Mariko L. Visserman, and Scott Wolf

    Proceedings of the National Academy of Sciences of the United States of America, ISSN: 00278424, eISSN: 10916490, Volume: 117, Pages: 19061-19071, Published: 11 August 2020 Proceedings of the National Academy of Sciences
    Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships.

  • Erratum: Guilty pleasure? communicating sexually explicit content on dating apps and disillusionment with app usage (Hum Commun Res (2020) 46:1 (55-85) DOI: 10.1093/hcr/hqz013)
    Human Communication Research, ISSN: 03603989, eISSN: 14682958, Issue: 2-3, Pages: 355, Published: 1 April 2020 Oxford University Press (OUP)

RECENT SCHOLAR PUBLICATIONS

  • Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
    S Joel, PW Eastwick, CJ Allison, XB Arriaga, ZG Baker, E Bar-Kalifa, ...
    Proceedings of the National Academy of Sciences 117 (32), 19061-19071 2020

  • Simple Relationship Quality Measures
    S Niehuis
    PsyArXiv 2020

  • Guilty Pleasure? Communicating Sexually Explicit Content on Dating Apps and Disillusionment with App Usage
    S Niehuis, A Reifman, DA Weiser, NM Punyanunt-Carter, J Flora, ...
    Human Communication Research 46 (1), 55-85 2020

  • Effects of relational transgressions on idealization of and disillusionment with one's romantic partner: A three‐wave longitudinal study
    S Niehuis, A Reifman, CR Oldham
    Personal Relationships 26 (3), 466-489 2019

  • Functional magnetic resonance imaging activation in response to prompts of romantically disillusioning events
    S Niehuis, A Reifman, K Al‐Khalil, CR Oldham, D Fang, M O'Boyle, ...
    Personal Relationships 26 (2), 209-231 2019

  • A Longitudinal Study of the Timing of First Sex in Romantic Relationships and Subsequent Relationship Quality
    CR Oldham
    2019

  • Ranking Ph. D.-Granting Human Development and Family Studies Departments via Research and Professional Accomplishments
    A Reifman, S Niehuis, J Fitzpatrick, JK Chapman, CR Oldham, JP Scott, ...
    Family Science Review 23 (3) 2019

  • Accuracy and bias in newlywed spouses' perceptions of each other's personalities
    WI Wood, CR Oldham, A Reifman, S Niehuis
    Personal Relationships 24 (4), 886-901 2017

  • Lights, camera, activism: Using a film series to generate feminist dialogue about campus sexual violence
    JBK Purcell, CR Oldham, DA Weiser, EA Sharp
    Family relations 66 (1), 139-153 2017

  • The relative timing of sex, love, and commitment: Testing sexual script theory among newlywed couples
    CR Oldham
    2014

  • Couples’ Perceptual Agreement Regarding Their Relationship
    M Fouladi, A Reifman, CR Oldham, J Head, E Willis-Grossmann, ...


MOST CITED SCHOLAR PUBLICATIONS

  • Functional magnetic resonance imaging activation in response to prompts of romantically disillusioning events
    S Niehuis, A Reifman, K Al‐Khalil, CR Oldham, D Fang, M O'Boyle, ...
    Personal Relationships 26 (2), 209-231 2019
    Citations: 9

  • Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
    S Joel, PW Eastwick, CJ Allison, XB Arriaga, ZG Baker, E Bar-Kalifa, ...
    Proceedings of the National Academy of Sciences 117 (32), 19061-19071 2020
    Citations: 8

  • Guilty Pleasure? Communicating Sexually Explicit Content on Dating Apps and Disillusionment with App Usage
    S Niehuis, A Reifman, DA Weiser, NM Punyanunt-Carter, J Flora, ...
    Human Communication Research 46 (1), 55-85 2020
    Citations: 8

  • Effects of relational transgressions on idealization of and disillusionment with one's romantic partner: A three‐wave longitudinal study
    S Niehuis, A Reifman, CR Oldham
    Personal Relationships 26 (3), 466-489 2019
    Citations: 7

  • Lights, camera, activism: Using a film series to generate feminist dialogue about campus sexual violence
    JBK Purcell, CR Oldham, DA Weiser, EA Sharp
    Family relations 66 (1), 139-153 2017
    Citations: 7

  • Accuracy and bias in newlywed spouses' perceptions of each other's personalities
    WI Wood, CR Oldham, A Reifman, S Niehuis
    Personal Relationships 24 (4), 886-901 2017
    Citations: 5

  • The relative timing of sex, love, and commitment: Testing sexual script theory among newlywed couples
    CR Oldham
    2014
    Citations: 1