References
- Anderson, C., Keltner, D., & John, O. P. (2003). Emotional convergence between people over time. Journal of Personality and Social Psychology, 84(5), 1054–1068. Retrieved from https://doi.org/10.1037/0022-3514.84.5.1054.
- Atzil-Slonim, D., Bar-Kalifa, E., Fisher, H., Peri, T., Lutz, W., Rubel, J., & Rafaeli, E. (2018). Emotional congruence between clients and therapists and its effect on treatment outcome. Journal of Counseling Psychology, 65(1), 51–64. Retrieved from https://doi.org/10.1037/cou0000250.
- Baldwin, S. A., Imel, Z. E., Braithwaite, S. R., & Atkins, D. C. (2014). Analyzing multiple outcomes in clinical research using multivariate multilevel models. Journal of Consulting and Clinical Psychology, 82(5), 920–930. Retrieved from https://doi.org/10.1037/a0035628.
- Barrett, L. F., Mesquita, B., Ochsner, K. N., & Gross, J. J. (2007). The experience of emotion. Annual Review of Psychology, 58(1), 373–403. Retrieved from doi:10.1146/annurev.psych.58.110405.085709
- Beckes, L., & Coan, J. A. (2011). Social baseline theory: The role of social proximity in emotion and economy of action. Social and Personality Psychology Compass, 5(12), 976–988. Retrieved from https://doi.org/10.1111/j.1751-9004.2011.00400.x.
- Beltz, A. M., Beekman, C., Molenaar, P. C., & Buss, K. A. (2013). Mapping temporal dynamics in social interactions with unified structural equation modeling: A description and demonstration revealing time-dependent sex differences in play behavior. Applied Developmental Science, 17(3), 152–168. Retrieved from https://doi.org/10.1080/10888691.2013.805953.
- Beltz, A. M., & Gates, K. M. (2017). Network mapping with GIMME. Multivariate Behavioral Research, 52(6), 789–804. Retrieved from https://doi.org/10.1080/00273171.2017.1373014.
- Boker, S. M., & Nesselroade, J. R. (2002). A method for modeling the intrinsic dynamics of intraindividual variability: Recovering the parameters of simulated oscillators in multi-wave panel data. Multivariate Behavioral Research, 37(1), 127–160. Retrieved from https://doi.org/10.1207/S15327906MBR3701.
- Boker, S. M., & Laurenceau, J. P. (2006). Dynamical systems modeling: An application to the regulation of the intimacy and disclosure in marriage. In T. A. Walls & J. L. Schafer (Eds.), Models for intensive longitudinal data (pp. 195–218). New York: Oxford University Press.
- Borsboom, D., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121. Retrieved from https://doi.org/10.1146/annurev-clinpsy-050212-185608.
- Borsboom, D., Fried, E. I., Epskamp, S., Waldorp, L. J., van Borkulo, C. D., van der Maas, H. L. J., & Cramer, A. O. J. (2017). False alarm? A comprehensive reanalysis of “Evidence that psychopathology symptom networks have limited replicability” by Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126(7), 989–999. Retrieved from https://doi.org/10.1037/abn0000306.
- Brandt, P. T., & Williams, J. T. (2007). Multiple time series models. series: Quantitative applications in the social sciences. Thousand Oaks, CA: Sage Publications Inc.
- Bringmann, L. F., Ferrer, E., Hamaker, E. L., Borsboom, D., & Tuerlinckx, F. (2018). Modeling nonstationary emotion dynamics in Dyads using a time-varying vector-autoregressive model. Multivariate Behavioral Research, 53(3), 1–22. Retrieved from https://doi.org/10.1080/00273171.2018.1439722.
- Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F., … Tuerlinckx, F. (2013). A network approach to psychopathology: New insights into clinical longitudinal data. PLoS ONE, 8(4), e96588. Retrieved from https://doi.org/10.1371/journal.pone.0060188.
- Butler, E. A. (2011). Temporal interpersonal emotion systems. Personality and Social Psychology Review, 15(4), 367–393. Retrieved from https://doi.org/10.1177/1088868311411164.
- Butler, E. A. (2017). Emotions are temporal interpersonal systems. Current Opinion in Psychology, 17, 129–134. Retrieved from https://doi.org/10.1016/j.copsyc.2017.07.005.
- Butler, E. A., & Randall, A. K. (2013). Emotional coregulation in close relationships. Emotion Review, 5(2), 202–210. Retrieved from https://doi.org/10.1177/1754073912451630.
- Butner, J., Amazeen, P. G., & Mulvey, G. M. (2005). Multilevel modeling of two cyclical processes: Extending differential structural equation modeling to nonlinear coupled systems. Psychological Methods, 10(2), 159–177. Retrieved from https://doi.org/10.1037/1082-989X.10.2.159.
- Coviello, L., Sohn, Y., Kramer, A. D. I., Marlow, C., Franceschetti, M., Christakis, N. A., & Fowler, J. H. (2014). Detecting emotional contagion in massive social networks. PLoS ONE, 9(3), e90315. Retrieved from https://doi.org/10.1371/journal.pone.0090315.
- Cowan, C. P., & Cowan, P. A. (2000). When partners become parents: The big life change for couples. Dadds, M. R., & Powell, M. B, (Eds.), vol. 19, 553–567. Mahwah, NJ: Erlbaum.
- Cranford, J. A., Shrout, P. E., Iida, M., Rafaeli, E., Yip, T., & Bolger, N. (2006). A Procedure for Evaluating Sensitivity to Within-Person Change: Can Mood Measures in Diary Studies Detect Change Reliably? Personality and Social Psychology Bulletin, 32(7), 917–929. Retrieved from doi:10.1177/0146167206287721
- Curran, P. J., & Bauer, D. J. (2011). The disaggregation of within-person and between-person effects in longitudinal models of change. Annual Review of Psychology, 62(1), 583–619. Retrieved from https://doi.org/10.1146/annurev.psych.093008.100356.
- Elfenbein, H. A. (2014). The many faces of emotional contagion: An affective process theory of affective linkage. Organizational Psychology Review, 4(4), 326–362. Retrieved from https://doi.org/10.1177/2041386614542889.
- Epskamp, S., Deserno, M. K., & Bringmann, L. F. (2017). mlVAR: Multi-level vector autoregression (R package version 0.4). Retrieved from https://CRAN.Rproject.org/package=mlVAR.
- Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., … Cramer, A. O. J. (2018). Investigating the utility of fixed-margin sampling in network psychometrics. Multivariate Behavioral Research, 1–15. Retrieved from https://doi.org/10.1080/00273171.2018.1489771.
- Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4), 453–480. doi:10.1080/00273171.2018.1454823
- Feinberg, M. E., Xia, M., Fosco, G. M., Heyman, R. E., & Chow, S. M. (2017). Dynamical systems modeling of couple interaction: A new method for assessing intervention impact across the transition to parenthood. Prevention Science, 18(8), 887–898. Retrieved from https://doi.org/10.1007/s11121-017-0803-3.
- Feldman, R. (2003). Infant-mother and infant-father synchrony: The coregulation of positive arousal. Infant Mental Health Journal, 24(1), 1–23. Retrieved from https://doi.org/10.1002/imhj.10041.
- Feldman, R. (2006). From biological rhythms to social rhythms: Physiological precursors of mother-infant synchrony. Developmental Psychology, 42(1), 175–188. Retrieved from https://doi.org/10.1037/0012-1649.42.1.175.
- Feldman, R. (2012). Bio-behavioral synchrony: A model for integrating biological and microsocial behavioral processes in the study of parenting. Parenting, 12(2-3), 154–164. Retrieved from https://doi.org/10.1080/15295192.2012.683342.
- Finkel, E. J., Simpson, J. A., & Eastwick, P. W. (2017). The psychology of close relationships: Fourteen core principles. Annual Review of Psychology, 68(1), 383–411. Retrieved from https://doi.org/10.1146/annurev-psych-010416-044038.
- Forbes, M. K., Wright, A. G. C., Markon, K. E., & Krueger, R. F. (2017). Evidence that psychopathology symptom networks have limited replicability. Journal of Abnormal Psychology, 126(7), 969–988. Retrieved from https://doi.org/10.1037/abn0000276.
- Friedman, J., Hastie, T., & Tibshirani, R. (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1), 1–22. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/20808728.
- 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(4), 572–583. Retrieved from https://doi.org/10.1037/0893-3200.21.4.572.
- Gates, K. M., Gatzke-Kopp, L. M., Sandsten, M., & Blandon, A. Y. (2015). Estimating time-varying RSA to examine psychophysiological linkage of marital dyads. Psychophysiology, 52(8), 1059–1065. Retrieved from https://doi.org/10.1111/psyp.12428.
- Gates, K. M., & Liu, S. (2016). Methods for quantifying patterns of dynamic interactions in Dyads. Assessment, 23(4), 459–471. Retrieved from https://doi.org/10.1177/1073191116641508.
- Gates, K. M., & Molenaar, P. C. (2012). Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples. NeuroImage, 63(1), 310–319.
- Gordon, I., & Feldman, R. (2008). Synchrony in the triad: A microlevel process model of coparenting and parent-child interactions. Family Process, 47(4), 465–479. Retrieved from https://doi.org/10.1111/j.1545-5300.2008.00266.x.
- Guloksuz, S., Pries, L. K., & van Os, J. (2017). Application of network methods for understanding mental disorders: pitfalls and promise. Psychological Medicine, 47(16), 2743–2752. Retrieved from https://doi.org/10.1017/S0033291717001350.
- Hamaker, E. L., Ceulemans, E., Grasman, R. P. P. P., & Tuerlinckx, F. (2015). Modeling affect dynamics: State of the art and future challenges. Emotion Review, 7(4), 316–322. Retrieved from https://doi.org/10.1177/1754073915590619.
- Heinicke, C. M. (2002). The transition to parenting. Chapter 12. In M. H. Bornstein (Ed.), Handbook of parenting: Vol. 3: Being and becoming a parent (2nd ed., pp. 363–388). Mahwah, NJ: Lawrence Erlbaum Associates Publishers. Retrieved from http://ovidsp.ovid.com/ovidweb.cgi?T=JS&PAGE=reference&D=psyc4&NEWS=N&AN=2002-02627-012.
- Helm, J. L., Sbarra, D. A., & Ferrer, E. (2014). Coregulation of respiratory sinus arrhythmia in adult romantic partners. Emotion, 14(3), 522–531. Retrieved from https://doi.org/10.1037/a0035960.
- Helm, J. L., Sbarra, D., & Ferrer, E. (2012). Assessing cross-partner associations in physiological responses via coupled oscillator models. Emotion, 12(4), 748–762. Retrieved from https://doi.org/10.1037/a0025036.
- Hoffman, L. (2014). Longitudinal analysis: Modeling within-person fluctuation and change. New York, NY: Routledge Academic.
- Hollenstein, T., Allen, N. B., & Sheeber, L. (2016). Affective patterns in triadic family interactions: Associations with adolescent depression. Development and Psychopathology, 28(1), 85–96. Retrieved from https://doi.org/10.1017/S0954579415000309.
- Kenny, D. A., Deborah, K., & Cook, W. (2006). The analysis of dyadic data. New York: Guilford..
- Kluwer, E. S. (2010). From partnership to parenthood: A review of marital change across the transition to parenthood. Journal of Family Theory & Review, 2(2), 105–125. Retrieved from https://doi.org/10.1111/j.1756-2589.2010.00045.x.
- Koole, S. L., & Tschacher, W. (2016). Synchrony in psychotherapy: A review and an integrative framework for the therapeutic alliance. Frontiers in Psychology, 7, 862. Retrieved from https://doi.org/10.3389/fpsyg.2016.00862.
- Kuppens, P. (2015). It’s about time: A special section on affect dynamics. Emotion Review, 7(4), 297–300. Retrieved from https://doi.org/10.1177/1754073915590947.
- Kuppens, P., Oravecz, Z., & Tuerlinckx, F. (2010). Feelings change: Accounting for individual differences in the temporal dynamics of affect. Journal of Personality and Social Psychology, 99(6), 1042–1060. Retrieved from https://doi.org/10.1037/a0020962.
- Lawrence, E., Cobb, R. J., Rothman, A. D., Rothman, M. T., & Bradbury, T. N. (2008). Marital satisfaction across the transition to parenthood. Journal of Family Psychology, 22(1), 41–50. Retrieved from https://doi.org/10.1037/0893-3200.22.1.41.
- Laws, H. B., Sayer, A. G., Pietromonaco, P. R., & Powers, S. I. (2015). Longitudinal changes in spouses’ HPA responses: Convergence in cortisol patterns during the early years of marriage. Health Psychology, 34(11), 1076–1089. Retrieved from https://doi.org/10.1037/hea0000235.
- Levenson, R. W., & Gottman, J. M. (1983). Marital interaction: Physiological linkage and affective exchange. Journal of Personality and Social Psychology, 45(3), 587–597. Retrieved from https://doi.org/10.1037/0022-3514.45.3.587.
- McNair, D. M., Lorr, M., & Droppleman, L. F. (1971). Profile of Mood States (POMS). Educational and Industrial Testing Services. Retrieved from https://doi.org/10.1007/978-1-4419-9893-4_68.
- McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., Borsboom, D., … Borsboom, D. (2014). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 1–14. Retrieved from https://doi.org/10.1177/2167702614553230.
- Menges, J. I., & Kilduff, M. (2015). Group emotions: Cutting the Gordian knots concerning terms, levels of analysis, and processes. Academy of Management Annals, 9(1), 845–928. Retrieved from https://doi.org/10.1080/19416520.2015.1033148.
- Molenaar, P. C. M. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement: Interdisciplinary Research & Perspective, 2(4), 201–218. Retrieved from https://doi.org/10.1207/s15366359mea0204_1.
- Orth, U. (2013). How large are actor and partner effects of personality on relationship satisfaction? The importance of controlling for shared method variance. Personality and Social Psychology Bulletin, 39(10), 1359–1372. Retrieved from https://doi.org/10.1177/0146167213492429.
- Pe, M. L., Kircanski, K., Thompson, R. J., Bringmann, L. F., Tuerlinckx, F., Mestdagh, M., … Gotlib, I. H. (2015). Emotion-network density in major depressive disorder. Clinical Psychological Science, 3(2), 292–300. Retrieved from https://doi.org/10.1177/2167702614540645.
- R Core Team. (2017). R: A language and environment for statistical computing. R Development Core Team. Retrieved from https://www.r-project.org/.
- Ramseyer, F., Kupper, Z., Caspar, F., Znoj, H., & Tschacher, W. (2014). Time-series panel analysis (TSPA): Multivariate modeling of temporal associations in psychotherapy process. Journal of Consulting and Clinical Psychology, 82(5), 828–838. Retrieved from https://doi.org/10.1037/a0037168.
- Randall, A. K., & Schoebi, D. (2015). Lean on Me: Susceptibility to Partner Affect Attenuates Psychological Distress Over a 12-Month Period. Emotion, 15(2), 201–210. Retrieved from https://doi.org/10.1037/emo0000043.
- Rossignac-Milon, M., & Higgins, E. T. (2018). Epistemic companions: Shared reality development in close relationships. Current Opinion in Psychology, 23, 66–71. Retrieved from https://doi.org/10.1016/j.copsyc.2018.01.001.
- Saxbe, D., & Repetti, R. L. (2010). For better or worse? Coregulation of couples’ cortisol levels and mood states. Journal of Personality and Social Psychology, 98(1), 92–103. Retrieved from https://doi.org/10.1037/a0016959.
- Schmittmann, V. D., Cramer, A. O. J., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D. (2013). Deconstructing the construct: A network perspective on psychological phenomena. New Ideas in Psychology, 31(1), 43–53. Retrieved from https://doi.org/10.1016/j.newideapsych.2011.02.007.
- Schoebi, D. (2008). The coregulation of daily affect in marital relationships. Journal of Family Psychology, 22(4), 595–604. Retrieved from https://doi.org/10.1037/0893-3200.22.3.595.
- Schoebi, D., & Randall, A. K. (2015). Emotional dynamics in intimate relationships. Emotion Review, 7(4), 342–348. Retrieved from https://doi.org/10.1177/1754073915590620.
- Seyfried, L. S., & Marcus, S. M. (2003). Postpartum mood disorders. International Review of Psychiatry, 15(3), 231–242. Retrieved from https://doi.org/10.1080/0954026031000136857.
- Steinley, D., Hoffman, M., Brusco, M. J., & Sher, K. J. (2017). A method for making inferences in network analysis: Comment on Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126(7), 1000–1010. Retrieved from doi:10.1037/abn0000308
- Timmons, A. C., Margolin, G., & Saxbe, D. E. (2015). Physiological linkage in couples and its implications for individual and interpersonal functioning: A literature review. Journal of Family Psychology, 29(5), 720–731. Retrieved from https://doi.org/10.1037/fam0000115.
- van Borkulo, C. D., Boschloo, L., Kossakowski, J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2016). Comparing network structures on three aspects: A permutation test. Manuscript submitted for publication. doi:10.13140/RG.2.2.29455.38569
- Whisman, M. A. (2001). The association between depression and marital dissatisfaction. In S. R. H. Beach (Ed.), Marital and family processes in depression: A scientific foundation for clinical practice (pp. 3–24). Washington, DC: American Psycho- logical Association.
- Whisman, M. A. (2007). Marital distress and DSM-IV psychiatric disorders in a population-based national survey. Journal of Abnormal Psychology, 116(3), 638–643. Retrieved from https://doi.org/10.1037/0021-843X.116.3.638.
- Whisman, M. A., & Baucom, D. H. (2012). Intimate relationships and psychopathology. Clinical Child and Family Psychology Review, 15(1), 4–13.
- Wood, N. D., & Okhotnikov, I. A. (2017). Spatial statistics for dyadic data: Analyzing the relationship landscape. Journal of Marital and Family Therapy, 43(1), 51–64. Retrieved from https://doi.org/10.1111/jmft.12179.