[en] This study investigates the Contingencies of Self-Worth Scale (CSWS) in a sample of 680 university students from a network perspective. We estimated regularized partial correlations among seven CSWS domains: family support, competition, appearance, God's love, academic competence, virtue and other's approval. Competition - academic competence and competition - appearance represent the strongest connections in the network. Mean node predictability (shared variance with surrounding nodes) is 0.25. Appearance and academic competence were the most central (i.e., interconnected) domains in the network. Future studies should explore the network structure of self-worth in other healthy adult samples, and also in people with psychopathology. We provide the anonymized dataset as well as the full code in the supplementary materials to ensure complete reproducibility of the results.
Disciplines :
Neurosciences & behavior
Author, co-author :
Briganti, Giovanni ; Université de Mons - UMONS > Faculté de Médecine et de Pharmacie > Service de Neurosciences ; Department of Clinical Epidemiology and Biostatistics, School of Public Health,
Fried, Eiko I; Department of Clinical Psychology, University of Leiden, Wassenaarseweg 52, 2333
Linkowski, Paul; Department of Clinical Epidemiology and Biostatistics, School of Public Health,
Language :
English
Title :
Network analysis of Contingencies of Self-Worth Scale in 680 university students.
Beard, C., Millner, A.J., Forgeard, M.J.C., Fried, E.I., Hsu, K.J., Treadway, M.T., et al. Network analysis of depression and anxiety symptom relationships in a psychiatric sample. Psychol. Med. 46 (2016), 3359–3369, 10.1017/S0033291716002300.
Borsboom, D., Cramer, A.O.J., Network analysis: an integrative approach to the structure of psychopathology. Annu. Rev. Clin. Psychol. 9 (2013), 91–121, 10.1146/annurev-clinpsy-050212-185608.
Boschloo, L., Borkulo, C.D.van, Borsboom, D., Schoevers, R.A., A prospective study on how symptoms in a network predict the onset of depression. PPS 85 (2016), 183–184, 10.1159/000442001.
Briganti, G., 2018. Data for: “Network Analysis of Contingencies of Self-Worth Scale in 680 University Students”. Mendeley Data, v2. doi: 10.17632/rtyrnscyrh.3.
Briganti, G., Kempenaers, C., Braun, S., Fried, E.I., Linkowski, P., Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults. Psychiatry Res. 265 (2018), 87–92, 10.1016/j.psychres.2018.03.082.
Costantini, G., Richetin, J., Borsboom, D., Fried, E.I., Rhemtulla, M., Perugini, M., Development of indirect measures of conscientiousness: combining a facets approach and network analysis. Eur. J. Personal. 29 (2015), 548–567, 10.1002/per.2014.
Crocker, J., Luhtanen, R.K., Cooper, M.L., Bouvrette, A., Contingencies of self-worth in college students: theory and measurement. J. Personal. Soc. Psychol. 85 (2003), 894–908, 10.1037/0022-3514.85.5.894.
Csardi, G., Nepusz, T., The igraph software package for complex network research. Inter J. Complex Syst., 2006 1695 https://cran.r-project.org/web/packages/igraph/citation.html.
Dalege, J., Borsboom, D., van Harreveld, F., van der Maas, H.L.J., Network analysis on attitudes. Soc. Psychol. Personal. Sci. 8 (2017), 528–537, 10.1177/1948550617709827.
Epskamp, S., Borsboom, D., Fried, E.I., Estimating psychological networks and their accuracy: a tutorial paper. Behav. Res., 2017, 1–18, 10.3758/s13428-017-0862-1.
Epskamp, S., Cramer, A.O.J., Waldorp, L.J., Schmittmann, V.D., Borsboom, D., qgraph: network visualizations of relationships in psychometric data. J. Stat. Softw., 48, 2012, 10.18637/jss.v048.i04.
Epskamp, S., Fried, E.I., A tutorial on regularized partial correlation networks. Psychol. Methods, 2018, 10.1037/met0000167.
Epskamp, S., Rhemtulla, M., Borsboom, D., Generalized network psychometrics: combining network and latent variable models. Psychometrika 82 (2017), 904–927, 10.1007/s11336-017-9557-x.
Fonseca-Pedrero, E., Ortuño, J., Debbané M., Chan, R.C.K., Cicero, D., Zhang, L.C., et al. The network structure of schizotypal personality traits. Schizophr. Bull. 44:Suppl2 (2018), S468–S479, 10.1093/schbul/sby044.
Fried, E.I., Borkulo, C.D.van, Cramer, A.O.J., Boschloo, L., Schoevers, R.A., Borsboom, D., Mental disorders as networks of problems: a review of recent insights. Soc. Psychiatry Psychiatr. Epidemiol. 52 (2017), 1–10, 10.1007/s00127-016-1319-z.
Fried, E.I., Cramer, A.O.J., Moving forward: challenges and directions for psychopathological network theory and methodology. Perspect. Psychol. Sci. 12 (2017), 999–1020, 10.1177/1745691617705892.
Fried, E.I., Eidhof, M.B., Palic, S., Costantini, G., Huisman-van Dijk, H.M., Bockting, C.L.H., et al. Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: a cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clin. Psychol. Sci., 2018, 10.1177/2167702617745092.
Friedman, J.H., Hastie, T., Tibshirani, R., Glasso: graphical lasso-estimation of Gaussian graphical models. R package version 1.8. Retrieved from https://CRAN.Rproject.org/package=glasso, 2014.
Galderisi, S., Rucci, P., Kirkpatrick, B., Mucci, A., Gibertoni, D., Rocca, P., et al. Interplay among psychopathologic variables, personal resources, context-related factors, and real-life functioning in individuals with schizophrenia: a network analysis. JAMA Psychiatry 75 (2018), 396–404, 10.1001/jamapsychiatry.2017.4607.
Geng, L., Jiang, T., Contingencies of self-worth moderate the effect of specific self-esteem on self-liking or self-competence. Soc. Behav. Personal. 41 (2013), 95–107, 10.2224/sbp.2013.41.1.95.
Haslbeck, J.M.B., Fried, E.I., How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychol. Med. 47 (2017), 2767–2776, 10.1017/S0033291717001258.
Haslbeck, J.M.B., Waldorp, L.J., 2016. MGM: Structure Estimation for Time-Varying Mixed Graphical Models in High-Dimensional Data. arXiv preprint:1510.06871v2.
James, R., Correlates of sexual self-esteem in a sample of substance-abusing women. J. Psychoact. Drugs 43 (2011), 220–228, 10.1080/02791072.2011.605700.
Kossakowski, J.J., Epskamp, S., Kieffer, J.M., Borkulo, C.D.van, Rhemtulla, M., Borsboom, D., The application of a network approach to health-related quality of life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients. Qual. Life Res. 25 (2016), 781–792, 10.1007/s11136-015-1127-z.
Mullarkey, M.C., Marchetti, I., Beevers, C.G., Using network analysis to identify central symptoms of adolescent depression. J. Clin. Child Adolesc. Psychol. 0 (2018), 1–13, 10.1080/15374416.2018.1437735.
Pearl, R.L., White, M.A., Grilo, C.M., Overvaluation of shape and weight as a mediator between self-esteem and weight bias internalization among patients with binge eating disorder. Eat. Behav. 15 (2014), 259–261, 10.1016/j.eatbeh.2014.03.005.
Pyszczynski, T., Greenberg, J., Solomon, S., Arndt, J., Schimel, J., Why do people need self-esteem? A theoretical and empirical review. Psychol. Bull. 130 (2004), 435–468, 10.1037/0033-2909.130.3.435.
Robinaugh, D.J., Millner, A.J., McNally, R.J., Identifying highly influential nodes in the complicated grief network. J. Abnorm. Psychol. 125 (2016), 747–757, 10.1037/abn0000181.
Ruzzano, L., Borsboom, D., Geurts, H.M., Repetitive behaviors in autism and obsessive-compulsive disorder: new perspectives from a network analysis. J. Autism Dev. Disord. 45 (2015), 192–202, 10.1007/s10803-014-2204-9.
Spearman, C., The proof and measurement of association between two things. Am. J. Psychol. 15:1 (1904), 72–101.
Tibshirani, R., Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B (Methodological) 58 (1996), 267–288.
van der Maas, H.L.J., Dolan, C.V., Grasman, R.P.P.P., Wicherts, J.M., Huizenga, H.M., Raijmakers, M.E.J., A dynamical model of general intelligence: the positive manifold of intelligence by mutualism. Psychol. Rev. 113 (2006), 842–861, 10.1037/0033-295X.113.4.842.
Xu, Z.-Y., Zu, S., Xiang, Y.-T., Wang, N., Guo, Z.-H., Kilbourne, A.M., et al. Associations of self-esteem, dysfunctional beliefs and coping style with depression in patients with schizophrenia: a preliminary survey. Psychiatry Res. 209 (2013), 340–345, 10.1016/j.psychres.2013.02.012.
