Abstract
This study investigated the reciprocal relations between positive self-beliefs (POS) and positive affect (PA) using week-long diaries kept by 268 undergraduate Italian psychology students. An autoregressive latent trajectory analysis was found to be the best statistical model explaining the links between POS and PA. POS and PA levels remained stable over 7 days and they were positively correlated suggesting positive associations between stability in PA and POS across the 7 days. Interestingly, the analysis of cross-lagged paths revealed that the state-like deviations in POS levels significantly predicted later levels of PA, whereas the state-like deviations in PA levels did not predict later levels of POS at all time points. Theoretical and practical implications of these results were discussed.
Similar content being viewed by others
Notes
We use the Greek letter of φ to refer to covariances. These parameters are represented by double headed arrows in Fig. 2.
References
Alessandri, G., Caprara, G. V., & Tisak, J. (2012a). Further explorations on the unique contribution of positive orientation to optimal functioning. European Psychologist, 17, 44–45. doi:10.1027/1016-9040/a000070.
Alessandri, G., Caprara, G. V., & Tisak, J. (2012b). A unified latent curve, latent state-trait analysis of the developmental trajectories and correlates of positive orientation. Multivariate Behavioral Research, 47, 341–368. doi:10.1080/00273171.2012.673954.
Alessandri, G., Vecchione, M., Tisak, J., DeIana, G., Caria S., & Caprara, G.V. (2012). The contribution of positivity to predict job performance and organizational citizenship behaviors. Applied Psychology: An International Review. doi:10.1111/j.1464-0597.2012.00511.x.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.
Baumeister, R. F. (1989). The optimal margin of illusion. Journal of Social and Clinical Psychology, 8, 176–189. doi:10.1521/jscp.1989.8.2.176.
Beck, A. T. (1967). Depression: Clinical, experimental, and theoretical aspects. New York: Harper & Row.
Bollen, K. A., & Curran, P. J. (2004). Autoregressive latent trajectory (ALT) models: A synthesis of two traditions. Sociological Methods and Research, 32, 336–383. doi:10.1177/0049124103260222.
Bryant, F. B. (2003). Savoring beliefs inventory (SBI): A scale for measuring beliefs about savouring. Journal of Mental Health, 12, 175–196. doi:10.1080/0963823031000103489.
Caprara, G. V., Alessandri, G., & Barbaranelli, C. (2010a). Optimal functioning: Contribution of self-efficacy beliefs to positive orientation. Psychotherapy and Psychosomatics, 79, 328–330. doi:10.1159/000319532.
Caprara, G. V., Alessandri, G., Colaiaco, F., & Zuffianò, A. (2013). Dispositional bases of self-serving positive evaluations. Personality and Individual Differences, 864–867.doi:10.1016/j.paid.2013.07.465.
Caprara, G. V., Alessandri, G., Eisenberg, N., Kupfer, A., Steca, P., Caprara, M. G., et al. (2012). The positivity scale. Psychological Assessment, 24, 701–712. doi:10.1037/a0026681.
Caprara, G. V., Alessandri, G., Trommsdorff, G., Heikamp, T., Yamaguchi, S., & Suzuki, F. (2010b). Positive orientation across countries. Journal of Cross Cultural Psychology, 43, 77–83. doi:10.1177/0022022111422257.
Caprara, G. V., Fagnani, C., Alessandri, G., Steca, P., Gigantesco, A., Cavalli Sforza, L. L., et al. (2009). Human optimal functioning: The genetics of positive orientation towards self, life, and the future. Behaviour Genetics, 39, 277–284. doi:10.1007/s10519-009-9267-y.
Caprara, G. V., Steca, P., Alessandri, G., Abela, J. R. Z., & McWhinnie, C. M. (2010c). Positive orientation: Explorations on what is common to life satisfaction, self-esteem, and optimism. Epidemiologia e psichiatria Sociale, 19, 63–71. doi:10.1017/S1121189X00001615.
Cole, D. A., & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modelling. Journal of Abnormal Psychology, 112, 558–577. doi:10.1037/0021-843X.112.4.558.
Colvin, C. R., Block, J., & Funder, D. C. (1995). Overly positive self- evaluations and personality: Negative implications for mental health. Journal of Personality and Social Psychology, 68, 1152–1162. doi:10.1037/0022-3514.68.6.1152.
Cummins, R. A., & Nistico, H. (2002). Maintaining life satisfaction: The role of positive cognitive bias. Journal of Happiness Studies, 3, 37–69. doi:10.1023/a:1015678915305.
Davis, M. C., Zautra, A. J., & Smith, B. W. (2004). Chronic pain, stress, and the dynamics of affective differentiation. Journal of Personality, 72, 1133–1159. doi:10.1111/j.1467-6494.2004.00293.x.
Diener, E. (2000). Subjective well-being: The science of happiness, and a proposal for a national index. American Psychologist, 55, 34–43. doi:10.1037/0003-066X.55.1.34.
Diener, E., Sandvik, E., & Pavot, W. (1991). Happiness is the frequency, not the intensity, of positive versus negative affect. In F. Strack, M. Argyle, & N. Schwartz (Eds.), Subjective well-being: An interdisciplinary perspective (pp. 119–139). Oxford, UK: Pergamon.
Forgas, J. P. (2002). Feeling and doing: Affective influences on interpersonal behavior. Psychological Inquiry, 13, 1–28. doi:10.1207/s15327965pli1301_01.
Fredrickson, B. L., & Branigan, C. (2005). Positive emotions broaden the scope of attention and thought-action repertoires. Cognition and Emotion, 19, 313–332. doi:10.1080/02699930441000238.
Fredrickson, B. L., & Cohn, M. A. (2008). Positive emotions. In M. Lewis, J. M. Haviland-Jones, & L. F. Barrett (Eds.), Handbook of emotions (pp. 777–796), 3rd Edn. New YOrk: Guilford Press.
Fredrickson, B. L., & Joiner, T. (2002). Positive emotions trigger upward spirals toward emotional well-being. Psychological Science, 13, 172–175. doi:10.1111/1467-9280.00431.
Fredrickson, B. L., Tugade, M. M., Waugh, C. E., & Larkin, G. R. (2003). What good are positive emotions in crisis? A prospective study of resilience and emotions following the terrorist attacks on the United States on September 11th, 2001. Journal of Personality and Social Psychology, 84, 365–376. doi:10.1037/0022-3514.84.2.365.
Judge, T. A., & Bono, J. E. (2001). Relationship of core self-evaluations traits—self-esteem, generalized self-efficacy, locus of control, and emotional stability—with job satisfaction and job performance: A meta-analysis. Journal of Applied Psychology, 86, 80–92. doi:10.1037/0021-9010.86.1.80.
Kanheman, D., Diener, E., & Schwarz, N. (Eds.). (1999). Well-being: The foundations of hedonic psychology. New York: Russell Sage.
Kline, R. B. (2010). Principles and practice of structural equation modelling. New York: The Guilford Press.
Koenigsberg, H. W., Harvey, P. D., Mitropoulou, V., Schmeidler, J., New, A. S., Goodman, M., et al. (2002). Characterizing affective instability in borderline personality disorder. The American Journal of Psychiatry, 159, 784–788. doi:10.1176/appi.ajp.159.5.784.
Lewinsohn, P. M., Steinmetz, J. L., Larson, D. W., & Franklin, J. (1981). Depression related cognitions: Antecedent or consequence? Journal of Abnormal Psychology, 90, 213–219. doi:10.1037/0021-843X.90.3.213.
Litz, B. T., Orsillo, S. M., Kaloupek, D., & Weathers, F. (2000). Emotional processing in posttraumatic stress disorder. Journal of Abnormal Psychology, 109, 26–39. doi:10.1037/0021-843X.109.1.26.
Lyubomirsky, S. (2001). Why are some people happier than others?: The role of cognitive and motivational processes in well-being. American Psychologist, 56, 239–249. doi:10.1037/0003-066X.56.3.239.
Lyubomirsky, S., Caldwell, N. D., & Nolen-Hoeksema, S. (1998). Effects of ruminative and distracting responses to depressed mood on the retrieval of autobiographical memories. Journal of Personality and Social Psychology, 75, 166–177. doi:10.1037/0022-3514.75.1.166.
Lyubomirsky, S., King, L., & Diener, E. (2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131, 803–855. doi:10.1037/0033-2909.131.6.803.
Lyubomirsky, S., & Ross, L. (1999). Changes in attractiveness of elected, rejected and precluded alternatives: A comparison of happy and unhappy individuals. Journal of Personality and Social Psychology, 76, 988–1007. doi:10.1037/0022-3514.76.6.988.
Lyubomirsky, S., & Tucker, K. L. (1998). Implications of individual differences in subjective happiness for perceiving, interpreting and thinking about life events. Motivation and Emotion, 22, 155–186. doi:10.1023/A:1021396422190.
McCrae, R. R., & Costa, P. T. (1986). Personality, coping, and coping effectiveness in an adult sample. Journal of Personality, 54, 385–405. doi:10.1111/j.1467-6494.1986.tb00401.x.
Mehl, M. R., Conner, T. S., & Csikszentmihalyi, M. (Eds.). (2012). Handbook of research methods for studying daily life. New York: Guilford Press.
Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107–122. doi:10.1007/BF02294746.
Morin, A. J. S., Maiano, C., Marsh, H. W., Janosz, M., & Nagengast, B. (2011). The longitudinal interplay of adolescents’ self-esteem and body image: A conditional autoregressive latent trajectory analysis. Multivariate Behavioral Research, 46, 157–201. doi:10.1080/00273171.2010.546731.
Mroczek, D. K., & Spiro, A. (2005). Change in life satisfaction during adulthood: Findings from the Veterans affairs normative aging study. Journal of Personality and Social Psychology, 88, 189–202. doi:10.1037/0022-3514.88.1.189.
Muthén, L., & Muthén, B. (2012). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.
Neyer, F. J., & Asendorpf, J. B. (2001). Personality–relationship transaction in young adulthood. Journal of Personality and Social Psychology, 81, 1190–1204. doi:10.1037/0022-3514.81.6.1190.
Pressman, S. D., & Cohen, S. (2005). Does positive affect influence health? Psychological Bulletin, 131, 925–971. doi:10.1037/0033-2909.131.6.925.
Reich, J. W., & Zautra, A. J. (2002). Arousal and the relationship between positive and negative affect: An analysis of the data of Ito, Cacioppo, and Lang (1998). Motivation and Emotion, 26, 209–222. doi:10.1023/A:1021773013487.
Rowe, G., Hirsh, J. B., & Anderson, A. K. (2007). Positive affect increases the breadth of attentional selection. Proceedings of National Academy of Sciences, 104, 383–388. doi:10.1073/pnas.0605198104.
Ryan, R. M., Bernstein, J. H., & Brown, K. W. (2010). Weekends, work, and well-being: Psychological need satisfactions and day of the week effects on mood, vitality, and physical symptoms. Journal of Social and Clinical Psychology, 29, 95–122. doi:10.1521/jscp.2010.29.1.95.
Ryan, R. M., & Deci, E. L. (2001). On happiness and human potentials: A review of research on hedonic and eudaimonic well-being. Annual Reviews of Psychology, 52, 141–166. doi:10.1146/annurev.psych.52.1.141.
Sallquist, J., DiDonato, M. D., Hanish, L. D., Martin, C. L., & Fabes, R. A. (2012). The importance of mutual positive expressivity in social adjustment: Understanding the role of peers and gender. Emotion, 12, 304–313. doi:10.1037/a0025238.
Sedikides, C. (1995). Central and peripheral self-conceptions are differentially influenced by mood: Tests of the differential sensitivity hypothesis. Journal of Personality and Social Psychology, 69, 759–777. doi:10.1037/0022-3514.69.4.759.
Seidlitz, L., & Diener, E. (1993). Memory for positive versus negative events: Theories for the differences between happy and unhappy persons. Journal of Personality and Social Psychology, 64, 654–664. doi:10.1037/0022-3514.64.4.654.
Sheldon, K. M., & Lyubomirsky, S. (2006). How to increase and sustain positive emotion: The effects of expressing gratitude and visualizing best possible selves. The Journal of Positive Psychology, 1, 73–82. doi:10.1080/17439760500510676.
Taylor, S. E., & Brown, J. D. (1988). Illusion and well-being: A social psychological perspective on mental health. Psychological Bulletin, 103, 193–210. doi10.1037/0033-2909.103.2.193.
Tomyn, A. J., & Cummins, R. A. (2011). Subjective well-being and homeostatically protected mood: Theory validation with adolescents. Journal of Happiness Studies, 12, 897–914. doi:10.1007/s10902-010-9235-5.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS Scales. Journal of Personality and Social Psychology, 54, 1063–1070. doi:10.1037/0022-3514.54.6.1063.
Author information
Authors and Affiliations
Corresponding author
Appendix
Appendix
Usually, the ALT model is identified by assuming (similar to a conventional AR model) that the variable at the first measurement point is an exogenous variable not influenced by the estimated trajectory factors or the other measurement points. However, this variable can be correlated with the latent intercept and slope parameters. Furthermore, rules of implementation require several steps (Bollen and Curran 2004): (1) multivariate AR (Fig. 3a), (2) LGMs (Fig. 3b), and (3) ALT (Fig. 3c) models. Although AR, LGM and ALT model were not nested, we compared the fit of the ALT model with that of a more parsimonious model in which the autoregressive and cross-lagged parameters were fixed to zero (Morin et al. 2011). This model allowed us to test the plausibility for the autoregressive and cross-lagged structure of the state-like deviations of both constructs (Bollen and Curran 2004). Then, following procedures recommended by Bollen and Curran (2004) we proceeded with fixing sequentially for each construct at a time by (1) zeroing the variance of the slope and (2) removing the slope. Once done, we proceed to (3) exclude correlated within time residuals, (4) constrain within-time residuals to equality, (5) constrain autoregressive paths to equality, (6) include lagged paths, and (7) constrain cross-lagged paths to equality. Tests 1–3 investigate the relevance of specific part of the model, and thus the worthiness to include them in the model. Finally, constraining cross-lagged paths to equality allowed us to identify if the reciprocal relations among the state-like deviations of both constructs remain the same over the 7-days or if they change at specific time point (e.g., during the week-end, Ryan et al. 2010).
To investigate the fit of different alternative models we followed procedures already presented in the paragraph “Model evaluation”. The results from the various multivariate models are reported in Table 2. The ALT model provided an adequate fit to the data and was preferable to simpler Multivariate AR and LGM models. This model can be further refined by taking out the slope factors from both PA and POS without significantly changing the overall fit of the model. Results also revealed that the inclusion of within-time residuals and autoregressive paths was necessary and that all regression parameters could be constrained to equality without worsening the fit of the model (Table 2, see results Models 9–14). Of importance, all parameters in the model may be constrained to be equal over time without significantly degrading the fit of the model (model 14).
1.1 Advantages of the ALT Model Over Classical ANOVA and Multiple Regression
The ALT model have a number of advantages over the standard repeated measures ANOVA or multiple regression designs. Moreover, it can be shown, under certain circumstances, that these latter design is a special case of the ALT model. In particular, although individual differences may be present in the ANOVA or multiple regression, change occurs at the group level; that is, if there is change, everyone is impacted in the same fashion. Moreover, trait and state effects are not represented in the classical ANOVA and multiple regression models. Furthermore, the random error variances are homogeneous (i.e., they are equal at every time of measurement) in the ANOVA. Other obvious merits of the ALT model are to allows one to (1) introduce antecedents and consequences of growth factors (i.e., intercepts and slopes), (2) to consider plausible explanations for individual states (by introducing predictors of observed variables), (3) to control parameter estimates for biases introduced by measurement error.
Rights and permissions
About this article
Cite this article
Alessandri, G., Zuffianò, A., Fabes, R. et al. Linking Positive Affect and Positive Self-beliefs in Daily Life. J Happiness Stud 15, 1479–1493 (2014). https://doi.org/10.1007/s10902-013-9487-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10902-013-9487-y