Abstract
Using a longitudinal dataset of 117 married couples without children spanning the first three years of marriage, we investigated trajectories of sexual satisfaction for both spouses using a novel Dyadic Latent Growth Model approach that distinguishes the communal sexual experience and the systematic differences in experience between partners. It also recognizes that there may be systematic variation in trajectories over couples. We showed how this approach can be used to predict couple-level sexual experience from couple-level marital satisfaction shortly after marriage. Partners’ sexual satisfaction was well represented at the dyadic level; there was a dyad-level decline in sexual satisfaction over the first three years of marriage, but also systematic variation around that average pattern. Level of dyadic marital satisfaction at Time 1 predicted the level of sexual satisfaction over three years, but not the systematic variation in the slope. Intra-dyad contrast of marital satisfaction at Time 1 predicted analogous contrasts of sexual satisfaction, but the strength of this association diminished over time. We discuss theoretical benefits of considering partners as couples rather than individuals.
Similar content being viewed by others
Availability of Data and Material
MPlus syntax and output for all models are available on OSF at https://osf.io/j26qx/.
Code Availability
Not applicable.
Notes
As Iida et al. (2018) discuss, the DSM is related to a model called the Common Fate Model (CFM) (Galovan et al., 2017) in that both represent the dyadic commonality. However, the CFM does not model systematic differences between partners, as does the DSM. For this reason, we do not consider the CFM here.
To rescale the items measured from 1–7 and 1–6 to a scale of 0–6 and 0–5, respectively, we subtracted the minimum scale score (1) from participants’ scores. Rescaling of this variable is a linear transformation and did not affect the subsequent statistical tests (Cohen et al., 2013).
Generally, means were significantly larger for both husbands and wives when the full 25-item ISS was used (p < .001). A majority of the items that reflected sexual problems did not load onto the sexual enjoyment factor. Because participants typically do not endorse these items and because they are reverse-scored, scores for these items were at the ceiling of the scale (i.e., 7) and inflated the means of the full 25-item ISS. The estimates from and fit of trajectory Model 3 described below did not differ substantially when the full 25-item ISS was used or the refined 15-item sexual enjoyment factor. This alternative model is reported in online appendix (https://osf.io/j26qx/).
The magnitude of the correlations did not seem to be affected by attrition. When compared to correlations based on the listwise deletion N = 70, the median difference was -.01.
In online appendix (https://osf.io/j26qx/), we provide the MPlus syntax and output for these analyses.
We compared Model 2 with an alternative trajectory in which the third time-point of data was indicated as the intercept of the model instead of the second time-point. The fit of both models is identical, and the difference between time-points 1 and 2 was identical in both models (2.598). Results from the alternative Model 2 are provided in the online appendix: https://osf.io/j26qx/
An alternative Model 3 with a linear slope was run but yielded worse fit than the nonlinear trajectory of the reported Model 3. The estimates did not differ substantially. We include this alternative model in the online appendix: https://osf.io/j26qx/
A similar LGM with structured residuals was reported by Curran et al. (2014). One key difference between the two models is that the authors specify a causal association between residual components, whereas we allow the model to estimate the association between residual components. In this way, our approach is agnostic with regard to the directionality of the associations. However, both models are comparable and produce virtually identical results.
References
Altgelt, E. E., & Meltzer, A. L. (2021). Associations between premarital factors and first-married, heterosexual newlywed couples’ frequency of sex and sexual satisfaction trajectories. Journal of Sex Research, 58, 146–159.
Birnbaum, G. E., Reis, H. T., Mizrahi, M., Kanat-Maymon, Y., Sass, O., & Granovski-Milner, C. (2016). Intimately connected: The importance of partner responsiveness for experiencing sexual desire. Journal of Personality and Social Psychology, 111, 530–546.
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective (Vol. 467). London: John Wiley & Sons.
Burke, T. J., & Young, V. J. (2012). Sexual transformations and intimate behaviors in romantic relationships. Journal of Sex Research, 49, 454–463.
Cheung, G. W. (2009). Introducing the latent congruence model for improving the assessment of similarity, agreement, and fit in organizational research. Organizational Research Methods, 12, 6–33.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Curran, P. J., Howard, A. L., Bainter, S. A., Lane, S. T., & McGinley, J. S. (2014). The separation of between-person and within-person components of individual change over time: A latent curve model with structured residuals. Journal of Consulting and Clinical Psychology, 82, 879–894.
Dixon, M., Booth, N., & Powell, R. (2000). Sex and relationships following childbirth: A first report from general practice of 131 couples. British Journal of General Practice, 50, 223–224.
Edwards, J. N., & Booth, A. (1994). Sexuality, marriage, and well-being: The middle years. In A. S. Rossi (Ed.), Sexuality across the life course (pp. 233–259). University of Chicago Press.
Funk, J. L., & Rogge, R. D. (2007). Testing the ruler with item response theory: Increasing precision of measurement for relationship satisfaction with the couples satisfaction index. Journal of Family Psychology, 21, 572–583.
Galovan, A. M., Holmes, E. K., & Proulx, C. M. (2017). Theoretical and methodological issues in relationship research: Considering the common fate model. Journal of Social and Personal Relationships, 34, 44–68.
Godwin, D. D., & Scanzoni, J. (1989). Couple consensus during marital joint decision-making: A context, process, outcome model. Journal of Marriage and the Family, 51, 943–956.
Hudson, W. W., Harrison, D. F., & Crosscup, P. C. (1981). A short-form scale to measure sexual discord in dyadic relationships. Journal of Sex Research, 17, 157–174.
Iida, M., Seidman, G., & Shrout, P. E. (2018). Models of interdependent individuals versus dyadic processes in relationship research. Journal of Social and Personal Relationships, 35, 59–88.
Impett, E. A., Muise, A., & Peragine, D. (2014). Sexuality in the context of relationships. In Tolman, D. T., & Diamond, L. D. (Eds.), APA handbook of sexuality and psychology (Vol. 1, pp. 269–315). Washington, DC: American Psychological Association.
Impett, E. A., Strachman, A., Finkel, E. J., & Gable, S. L. (2008). Maintaining sexual desire in intimate relationships: The importance of approach goals. Journal of Personality and Social Psychology, 94, 808–823.
Karney, B. R., & Bradbury, T. N. (2005). Contextual influences on marriage: Implications for policy and intervention. Current Directions in Psychological Science, 14, 171–174.
Kashy, D. A., & Kenny, D. A. (2000). The analysis of data from dyads and groups. In H. T. Reis & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (pp. 451–477). New York: Cambridge University Press.
Kenny, D. A., Kashy, D. A., & Cook, W. L. (2006). Dyadic data analysis. Guilford Press.
Leggett, D. G., Roberts-Pittman, B., Byczek, S., & Morse, D. T. (2012). Cooperation, conflict, and marital satisfaction: Bridging theory, research, and practice. Journal of Individual Psychology, 68, 182–199.
McNulty, J. K., Wenner, C. A., & Fisher, T. D. (2016). Longitudinal associations among relationship satisfaction, sexual satisfaction, and frequency of sex in early marriage. Archives of Sexual Behavior, 45, 85–97.
McNulty, J. K., & Widman, L. (2013). The implications of sexual narcissism for sexual and marital satisfaction. Archives of Sexual Behavior, 42, 1021–1032.
Muthén, L. K., & Muthén, B. O. (2011). Mplus user’s guide: 1998–2011. Los Angeles: Muthén and Muthén.
O’Laughlin, K. D., Martin, M. J., & Ferrer, E. (2018). Cross-sectional analysis of longitudinal mediation processes. Multivariate Behavioral Research, 53, 375–402.
Perales, F. (2019). Modeling the consequences of the transition to parenthood: Applications of panel regression methods. Journal of Social and Personal Relationships, 36, 4005–4026.
Raudenbush, S. W., Brennan, R. T., & Barnett, R. C. (1995). A multivariate hierarchical model for studying psychological change within married couples. Journal of Family Psychology, 9, 161–174.
Schafer, J. L. (1997). Analysis of incomplete multivariate data. CRC Press.
Shrout, P. E., Stadler, G., Lane, S. P., McClure, M. J., Jackson, G. L., Clavél, F. D., Iida, M., Gleason, M. E. J., Xu, J. H., & Bolger, N. (2018). Initial elevation bias in subjective reports. Proceedings of the National Academy of Sciences, 115, E15–E23.
Vangelisti, A. L., Reis, H. T., & Fitzpatrick, M. A. (Eds.). (2002). Stability and change in relationships. Cambridge: Cambridge University Press.
Funding
This work was supported by a grant from the National Science Foundation (BCS0921896) awarded to the second author. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
Author information
Authors and Affiliations
Contributions
Not applicable.
Corresponding author
Ethics declarations
Conflicts of interest
Not applicable
Ethical Approval
The Austin Marriage Project was originally approved as expedited in accordance with Federal Regulations by the Institutional Review Board at the University of Texas at Austin (Protocol #2009-06-0015). Data analyses and handling were exempt from ethical review as determined by the Institutional Review Board at New York University (FY2017-389).
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Ghodse-Elahi, Y., Neff, L.A. & Shrout, P.E. Modeling Dyadic Trajectories: Longitudinal Changes in Sexual Satisfaction for Newlywed Couples. Arch Sex Behav 50, 3651–3662 (2021). https://doi.org/10.1007/s10508-021-02075-9
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10508-021-02075-9