Advances in Psychological Science ›› 2021, Vol. 29 ›› Issue (10): 1724-1739.doi: 10.3724/SP.J.1042.2021.01724
• Research Method • Previous Articles Next Articles
CHEN Chen, WANG Li(), CAO Chengqi, LI Gen
Received:
2021-03-30
Online:
2021-10-15
Published:
2021-08-23
Contact:
WANG Li
E-mail:wangli1@psych.ac.cn
CLC Number:
CHEN Chen, WANG Li, CAO Chengqi, LI Gen. Psychopathological network theory, methods and challenges[J]. Advances in Psychological Science, 2021, 29(10): 1724-1739.
[1] | 蔡玉清, 董书阳, 袁帅, 胡传鹏. (2020). 变量间的网络分析模型及其应用. 心理科学进展, 28(1), 178-190. |
[2] |
Adam, D. (2013). Mental health: On the spectrum. Nature, 496(7446), 416-418. https://doi.org/10.1097/00006324-192905000-00003
doi: https://doi.org/10.1097/00006324-192905000-00003 URL |
[3] |
Afzali, M. H., Sunderland, M., Teesson, M., Carragher, N., Mills, K., & Slade, T. (2017). A network approach to the comorbidity between posttraumatic stress disorder and major depressive disorder: The role of overlapping symptoms. Journal of Affective Disorders, 208, 490-496. https://doi.org/10.1016/j.jad.2016.10.037
doi: https://doi.org/10.1016/j.jad.2016.10.037 URL |
[4] |
Benfer, N., Bardeen, J. R., Cero, I., Kramer, L. B., Whiteman, S. E., Rogers, T. A., Silverstein, M. W., & Weathers, F. W. (2018). Network models of posttraumatic stress symptoms across trauma types. Journal of Anxiety Disorders, 58, 70-77. https://doi.org/10.1016/j.janxdis.2018.07.004
doi: https://doi.org/10.1016/j.janxdis.2018.07.004 URL |
[5] |
Birkeland, M. S., Greene, T., & Spiller, T. R. (2020). The network approach to posttraumatic stress disorder: A systematic review. European Journal of Psychotraumatology, 11(1). https://doi.org/10.1080/20008198.2019.1700614
doi: https://doi.org/10.1080/20008198.2019.1700614 |
[6] |
Blake, M. J., Trinder, J. A., & Allen, N. B. (2018). Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: Implications for behavioral sleep interventions. Clinical Psychology Review, 63, 25-40. https://doi.org/10.1016/j.cpr.2018.05.006
doi: https://doi.org/10.1016/j.cpr.2018.05.006 URL |
[7] |
Boker, S. M., Molenaar, P. C. M., & Nesselroade, J. R. (2009). Issues in intraindividual variability: Individual differences in equilibria and dynamics over multiple time scales. Psychology and Aging, 24(4), 858-862. https://doi.org/10.1037/a0017912
doi: https://doi.org/10.1037/a0017912 URL |
[8] |
Borsboom, D. (2008). Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology, 64(9), 1089-1108. https://doi.org/10.1002/jclp.20503
doi: 10.1002/jclp.20503 pmid: 18683856 |
[9] |
Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5-13. https://doi.org/10.1002/wps.20375
doi: 10.1002/wps.20375 pmid: 28127906 |
[10] |
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. https://doi.org/10.1146/annurev-clinpsy-050212-185608
doi: https://doi.org/10.1146/annurev-clinpsy-050212-185608 URL |
[11] |
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. https://doi.org/10.1037/abn0000306
doi: 10.1037/abn0000306 pmid: 29106282 |
[12] |
Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110(2), 203-219. https://doi.org/10.1037/0033-295X.110.2.203
doi: 10.1037/0033-295X.110.2.203 pmid: 12747522 |
[13] |
Borsboom, D., Robinaugh, D. J., The, Psychosystems Group, Rhemtulla, M., & Cramer, A. O. J. (2018). Robustness and replicability of psychopathology networks. World Psychiatry, 17(2), 143-144. https://doi.org/10.1002/wps.20515
doi: 10.1002/wps.20515 pmid: 29856550 |
[14] |
Brandes, U. (2016). Network positions. Methodological Innovations, 9. https://doi.org/10.1177/2059799116630650
doi: https://doi.org/10.1177/2059799116630650 |
[15] |
Bringmann, L. F. (2016). Dynamical networks in psychology: More than a pretty picture? (Unpublished Doctoral Dissertation). KU Leuven, Leuven, Belgium. https://doi.org/10.13140/RG.2.2.28223.10404
doi: https://doi.org/10.13140/RG.2.2.28223.10404 |
[16] |
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., … Snippe, E. (2019). What do centrality measures measure in psychological networks? Journal of Abnormal Psychology, 128(8), 892-903.
doi: 10.1037/abn0000446 pmid: 31318245 |
[17] |
Bringmann, L. F., Lemmens, L. H. J. M., Huibers, M. J. H., Borsboom, D., & Tuerlinckx, F. (2015). Revealing the dynamic network structure of the Beck depression inventory-II. Psychological Medicine, 45(4), 747-757. https://doi.org/10.1017/S003329171400180
doi: 10.1017/S0033291714001809 pmid: 25191855 |
[18] |
Cao, X., Wang, L., Cao, C., Fang, R., Chen, C., Hall, B. J., & Elhai, J. D. (2019). Sex differences in global and local connectivity of adolescent posttraumatic stress disorder symptoms. Journal of Child Psychology and Psychiatry and Allied Disciplines, 60(2), 216-224. https://doi.org/10.1111/jcpp.12963
doi: https://doi.org/10.1111/jcpp.12963 |
[19] |
Cao, X., Wang, L., Cao, C., Fang, R., Chen, C., Hall, B. J., & Elhai, J. D. (2020). Depicting the associations between different forms of psychopathology in trauma-exposed adolescents. European Child and Adolescent Psychiatry, 29(6), 827-837. https://doi.org/10.1007/s00787-019-01400-x
doi: https://doi.org/10.1007/s00787-019-01400-x URL |
[20] |
Chen, J., & Chen, Z. (2008). Extended Bayesian information criteria for model selection with large model spaces. Biometrika, 95(3), 759-771. https://doi.org/10.1093/biomet/asn034
doi: https://doi.org/10.1093/biomet/asn034 URL |
[21] |
Contreras, A., Nieto, I., Valiente, C., Espinosa, R., & Vazquez, C. (2019). The study of psychopathology from the network analysis perspective: A systematic review. In Psychotherapy and Psychosomatics (Vol. 88, Issue 2, pp. 71-83). https://doi.org/10.1159/000497425
doi: 10.1159/000497425 pmid: 30889609 |
[22] | Cramer, A. O. J., & Borsboom, D. (2015). Problems attract problems: A network perspective on mental disorders. Emerging Trends in the Social and Behavioral Sciences., 4(2), 191-193. |
[23] |
Cramer, A. O. J., van Borkulo, C. D., Giltay, E. J., van der Maas, H. L. J., Kendler, K. S., Scheffer, M., & Borsboom, D. (2016). Major depression as a complex dynamic system. PLoS ONE, 11(12), 1-21. https://doi.org/10.1371/journal.pone.0167490
doi: https://doi.org/10.1371/journal.pone.0167490 |
[24] |
de Ron, J., Fried, E. I., & Epskamp, S. (2019). Psychological networks in clinical populations: Investigating the consequences of Berkson's bias. Psychological Medicine, 51(1), 1-9. https://doi.org/10.1017/S0033291719003209
doi: https://doi.org/10.1017/S0033291719003209 URL |
[25] |
DeYoung, C. G., & Krueger, R. F. (2018). Understanding psychopathology: Cybernetics and psychology on the boundary between order and chaos. Psychological Inquiry, 29(3), 165-174. https://doi.org/10.1080/1047840X.2018.1513690
doi: https://doi.org/10.1080/1047840X.2018.1513690 URL |
[26] |
Epskamp, S. (2020). Psychometric network models from time-series and panel data. Psychometrika, 85(1), 206-231. https://doi.org/10.1007/s11336-020-09697-3
doi: 10.1007/s11336-020-09697-3 pmid: 32162233 |
[27] |
Epskamp, S., Borsboom, D., & Fried, E. I. (2018a). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195-212. https://doi.org/10.3758/s13428-017-0862-1
doi: https://doi.org/10.3758/s13428-017-0862-1 URL |
[28] |
Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4). https://doi.org/10.18637/jss.v048.i04
doi: https://doi.org/10.18637/jss.v048.i04 |
[29] |
Epskamp, S., & Fried, E. I. (2018b). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617-634. https://doi.org/10.1037/met0000167
doi: https://doi.org/10.1037/met0000167 URL |
[30] |
Epskamp, S., Rhemtulla, M., & Borsboom, D. (2017). Generalized network psychometrics: Combining network and latent variable models. Psychometrika, 82(4), 904-927. https://doi.org/10.1007/s11336-017-9557-x
doi: 10.1007/s11336-017-9557-x pmid: 28290111 |
[31] |
Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). Discovering psychological dynamics in time-series data. Multivariate Behavioral Research, 53(4), 453-480. https://doi.org/10.1080/00273171.2018.1454823
doi: 10.1080/00273171.2018.1454823 pmid: 29658809 |
[32] |
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. https://doi.org/10.1037/abn0000276
doi: https://doi.org/10.1037/abn0000276 URL |
[33] |
Forbes, M. K., Wright, A. G. C., Markon, K. E., & Krueger, R. F. (2019). Quantifying the reliability and replicability of psychopathology network characteristics. Multivariate behavioral research, 1-19. https://doi.org/10.1080/00273171.2019.1616526
doi: https://doi.org/10.1080/00273171.2019.1616526 |
[34] |
Fried, E. I., & Cramer, A. O. J. (2017). Moving forward: Challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 12(6), 999-1020. https://doi.org/10.1177/1745691617705892
doi: 10.1177/1745691617705892 pmid: 28873325 |
[35] |
Fried, E. I., Eidhof, M. B., Palic, S., Costantini, G., Huisman-van Dijk, H. M., Bockting, C. L. H., … Karstoft, K.-I. (2018). Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clinical Psychological Science, 6(3), 335-351. https://doi.org/10.1177/2167702617745092
doi: 10.1177/2167702617745092 pmid: 29881651 |
[36] |
Fried, E. I., Epskamp, S., Nesse, R. M., Tuerlinckx, F., & Borsboom, D. (2016). What are “good” depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. Journal of Affective Disorders, 189, 314-320. https://doi.org/10.1016/j.jad.2015.09.005
doi: 10.1016/j.jad.2015.09.005 pmid: 26458184 |
[37] |
Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: An investigation of unique symptom patterns in the STAR*D study. Journal of Affective Disorders, 172, 96-102. https://doi.org/10.1016/j.jad.2014.10.010
doi: 10.1016/j.jad.2014.10.010 pmid: 25451401 |
[38] |
Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A., & Borsboom, D. (2017). Mental disorders as networks of problems: A review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1), 1-10. https://doi.org/10.1007/s00127-016-1319-z
doi: 10.1007/s00127-016-1319-z pmid: 27921134 |
[39] |
Friedman, J., Hastie, T., & Tibshirani, R. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3), 432-441. https://doi.org/10.1093/biostatistics/kxm045
doi: https://doi.org/10.1093/biostatistics/kxm045 pmid: 18079126 |
[40] |
Galatzer-levy, I. R., & Bryant, R. A. (2013). 636, 120 Ways to have posttraumatic stress disorder. Perspectives on Psychological Science, 8(6), 651-662. https://doi.org/10.1177/1745691613504115
doi: 10.1177/1745691613504115 pmid: 26173229 |
[41] |
Golino, H. F., & Epskamp, S. (2017). Exploratory graph analysis: A new approach for estimating the number of dimensions in psychological research. PLoS ONE, 12(6), 1-27. https://doi.org/10.1371/journal.pone.0174035
doi: https://doi.org/10.1371/journal.pone.0174035 |
[42] |
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. https://doi.org/10.1017/S0033291717001350
doi: 10.1017/S0033291717001350 pmid: 28578740 |
[43] |
Hallquist, M. N., Wright, A. G. C. C., & Molenaar, P. C. M. (2019). Problems with centrality measures in psychopathology symptom networks: Why network psychometrics cannot escape psychometric theory. Multivariate Behavioral Research, 1-25. https://doi.org/10.1080/00273171.2019.1640103
doi: https://doi.org/10.1080/00273171.2019.1640103 |
[44] | Hamaker, E. L. (2012). Why researchers should think “within-person”:A paradigmatic rationale. In M. R. Mehl & T. S. Conner (Eds.), Handbook of research methods for studying daily life (pp. 43-61). The Guilford Press. |
[45] |
Hasin, D., & Kilcoyne, B. (2012). Comorbidity of psychiatric and substance use disorders in the United States: Current issues and findings from the NESARC. Current Opinion in Psychiatry, 25(3), 165-171. https://doi.org/10.1097/YCO.0b013e3283523dcc
doi: https://doi.org/10.1097/YCO.0b013e3283523dcc URL |
[46] |
Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853-861. https://doi.org/10.3758/s13428-017-0910-x
doi: https://doi.org/10.3758/s13428-017-0910-x |
[47] |
Have, M., Lamers, F., Wardenaar, K., Beekman, A., de Jonge, P., van Dorsselaer, S., Tuithof, M., Kleinjan, M., & de Graaf, R. (2016). The identification of symptom-based subtypes of depression: A nationally representative cohort study. Journal of Affective Disorders, 190, 395-406. https://doi.org/10.1016/j.jad.2015.10.040
doi: https://doi.org/10.1016/j.jad.2015.10.040 URL |
[48] |
Heeren, A., & McNally, R. J. (2016). A call for complexity in the study of social anxiety disorder. Commentary: The aetiology and maintenance of social anxiety disorder: A synthesis of complementary theoretical models and formulation of a new integrated model. Frontiers in Psychology, 7(1), 1963. https://doi.org/10.3389/fpsyg.2016.01963
doi: https://doi.org/10.3389/fpsyg.2016.01963 |
[49] |
Heeren, A., & McNally, R. J. (2018). Social anxiety disorder as a densely interconnected network of fear and avoidance for social situations. Cognitive Therapy and Research, 42(1), 103-113. https://doi.org/10.1007/s10608-017-9876-3
doi: https://doi.org/10.1007/s10608-017-9876-3 URL |
[50] |
Hoffman, M., Steinley, D., Trull, T. J., & Sher, K. J. (2018). Criteria definitions and network relations: The importance of criterion thresholds. Clinical Psychological Science, 6(4), 506-516. https://doi.org/10.1177/2167702617747657
doi: https://doi.org/10.1177/2167702617747657 URL |
[51] |
Hofmann, S. G., Curtiss, J., & Mcnally, R. J. (2016). A complex network perspective on clinical science. Perspectives on Psychological Science, 11(5), 597-605. https://doi.org/10.1177/1745691616639283
doi: https://doi.org/10.1177/1745691616639283 pmid: 27694457 |
[52] |
Insel, T., Cuthbert, B., Garvey, M., Heinssen, R., Pine, D., Quinn, K., Sanislow, C., & Wang, P. (2010). Research domain criteria (RDoC): Toward a new classification framework for research on mental disorders. American Journal of Psychiatry Online, 167(7), 748-751. https://doi.org/10.1176/appi.ajp.2010.09091379
doi: https://doi.org/10.1176/appi.ajp.2010.09091379 |
[53] | Kalisch, M., & Bühlmann, P. (2007). Estimating high-dimensional directed acyclic graphs with the pc-algorithm. Journal of Machine Learning Research, 8, 613-636. Retrieved from http://www.jmlr.org/papers/v8/kalisch07a.html. |
[54] |
Kessler, R. C., Chiu, W. T., Demler, O., Merikangas, K. R., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of general psychiatry, 62(6), 617-627. https://doi.org/10.1001/archpsyc.62.6.617
doi: https://doi.org/10.1001/archpsyc.62.6.617 pmid: 15939839 |
[55] |
Kievit, R. A., Frankenhuis, W. E., Waldorp, L. J., & Borsboom, D. (2013). Simpson's paradox in psychological science: A practical guide. Frontiers in Psychology, 4, 1-14. https://doi.org/10.3389/fpsyg.2013.00513
doi: https://doi.org/10.3389/fpsyg.2013.00513 |
[56] | Lauritzen, S. L. (1996). Graphical models (Vol. 17). Clarendon Press. |
[57] |
Levinson, C. A., Brosof, L. C., Vanzhula, I., Christian, C., Jones, P., Rodebaugh, T. L., … Fernandez, K. C. (2018). Social anxiety and eating disorder comorbidity and underlying vulnerabilities: Using network analysis to conceptualize comorbidity. International Journal of Eating Disorders, 51(7), 693-709. https://doi.org/10.1002/eat.22890
doi: https://doi.org/10.1002/eat.22890 URL |
[58] |
Li, G., Wang, L., Cao, C., Fang, R., Bi, Y., Liu, P., … Elhai, J. D. (2020). An exploration of the DSM-5 posttraumatic stress disorder symptom latent variable network. European Journal of Psychotraumatology, 11(1). https://doi.org/10.1080/20008198.2020.1759279
doi: https://doi.org/10.1080/20008198.2020.1759279 |
[59] |
McNally, R. J. (2016). Can network analysis transform psychopathology? Behaviour Research and Therapy, 86, 95-104. https://doi.org/10.1016/j.brat.2016.06.006
doi: https://doi.org/10.1016/j.brat.2016.06.006 URL |
[60] |
McNally, R. J., Heeren, A., & Robinaugh, D. J. (2017). A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse. European Journal of Psychotraumatology, 8(sup3), 1341276. https://doi.org/10.1080/20008198.2017.1341276
doi: https://doi.org/10.1080/20008198.2017.1341276 URL |
[61] |
McNally, R. J., Robinaugh, D. J., Wu, G. W. Y., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 836-849. https://doi.org/10.1177/2167702614553230
doi: https://doi.org/10.1177/2167702614553230 URL |
[62] |
Moshier, S. J., Bovin, M. J., Gay, N. G., Wisco, B. E., Mitchell, K. S., Lee, D. J., … Marx, B. P. (2018). Examination of posttraumatic stress disorder symptom networks using clinician-rated and patient-rated data. Journal of Abnormal Psychology, 127(6), 541-547. https://doi.org/10.1037/abn0000368
doi: https://doi.org/10.1037/abn0000368 URL |
[63] |
Murri, M. B., Amore, M., Respino, M., & Alexopoulos, G. S. (2018). The symptom network structure of depressive symptoms in late-life: Results from a European population study. Molecular Psychiatry, 25, 1447-1456. https://doi.org/10.1038/s41380-018-0232-0
doi: https://doi.org/10.1038/s41380-018-0232-0 URL |
[64] |
Olbert, C. M., Gala, G. J., & Tupler, L. A. (2014). Quantifying heterogeneity attributable to polythetic diagnostic criteria: Theoretical framework and empirical application. Journal of Abnormal Psychology, 123(2), 452-462. https://doi.org/10.1037/a0036068
doi: https://doi.org/10.1037/a0036068 URL |
[65] |
Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245-251. https://doi.org/10.1016/j.socnet.2010.03.006
doi: https://doi.org/10.1016/j.socnet.2010.03.006 URL |
[66] |
Papini, S., Rubin, M., Telch, M. J., Smits, J. A. J., & Hien, D. A. (2020). Pretreatment posttraumatic stress disorder symptom network metrics predict the strength of the association between node change and network change during treatment. Journal of Traumatic Stress, 33(1), 64-71. https://doi.org/10.1002/jts.22379
doi: https://doi.org/10.1002/jts.22379 URL |
[67] | Pearl, J. (2000). Causality: Models, reasoning, and inference. Cambridge University Press. |
[68] | Pearl, J. (2010). The mathematics of causal relations. In P. Shrout, K. Keyes & K. Ornstein (Eds.). Causality and psychopathology: Finding the determinants of disorders and their cures (pp. 47-65). Oxford University Press. |
[69] |
Robinaugh, D. J., Hoekstra, R. H. A., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: A review of the literature 2008-2018 and an agenda for future research. Psychological Medicine, 50(3), 353-366. https://doi.org/10.1017/S0033291719003404
doi: 10.1017/S0033291719003404 pmid: 31875792 |
[70] |
Robinaugh, D. J., LeBlanc, N. J., Vuletich, H. A., & McNally, R. J. (2014). Network analysis of persistent complex bereavement disorder in conjugally bereaved adults. Journal of Abnormal Psychology, 123(3), 510-522. https://doi.org/10.1037/abn0000002
doi: 10.1037/abn0000002 pmid: 24933281 |
[71] | Ryan, O., Bringmann, L. F., & Schuurman, N. K. (2019). The challenge of generating causal hypotheses using network models. PsyArXiv, 1-30. |
[72] |
Santos, H., Fried, E. I., Asafu-Adjei, J., & Jeanne Ruiz, R. (2017). Network structure of perinatal depressive symptoms in latinas: Relationship to stress and reproductive biomarkers. Research in Nursing and Health, 40(3), 218-228. https://doi.org/10.1002/nur.21784
doi: https://doi.org/10.1002/nur.21784 URL |
[73] |
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. https://doi.org/10.1016/j.newideapsych.2011.02.007
doi: https://doi.org/10.1016/j.newideapsych.2011.02.007 URL |
[74] |
Schmitz, B., & Skinner, E. (1993). Perceived control, effort, and academic performance: Interindividual, intraindividual, and multivariate time-series analyses. Journal of Personality and Social Psychology, 64(6), 1010-1028. https://doi.org/10.1037/0022-3514.64.6.1010
doi: https://doi.org/10.1037/0022-3514.64.6.1010 URL |
[75] |
Schoch, D., & Brandes, U. (2016). Re-conceptualizing centrality in social networks. European Journal of Applied Mathematics, 27(6), 971-985. https://doi.org/10.1017/S0956792516000401
doi: https://doi.org/10.1017/S0956792516000401 URL |
[76] | Scutari, M. (2010). Learning Bayesian networks with the bnlearn R package. Journal of Statistical Software, 35, 1-22. Retrieved from http://www.jstatsoft.org/v35/i03/ |
[77] |
Smith, K. E., Crosby, R. D., Wonderlich, S. A., Forbush, K. T., Mason, T. B., & Moessner, M. (2018). Network analysis: An innovative framework for understanding eating disorder psychopathology. International Journal of Eating Disorders, 51(3), 214-222. https://doi.org/10.1002/eat.22836
doi: https://doi.org/10.1002/eat.22836 URL |
[78] |
Snijders, T. A. B. (2011). Statistical models for social networks. Annual Review of Sociology, 37, 131-153. https://doi.org/10.1146/annurev.soc.012809.102709
doi: https://doi.org/10.1146/annurev.soc.012809.102709 URL |
[79] |
Southward, M. W., & Cheavens, J. S. (2018). Identifying core deficits in a dimensional model of borderline personality disorder features: A network analysis. Clinical Psychological Science, 6(5), 685-703. https://doi.org/10.1177/2167702618769560
doi: 10.1177/2167702618769560 pmid: 30854263 |
[80] |
Spiller, T. R., Levi, O., Neria, Y., Suarez-Jimenez, B., Bar-Haim, Y., & Lazarov, A. (2020). On the validity of the centrality hypothesis in cross-sectional between-subject networks of psychopathology. BMC Medicine, 18(1), 1-14. https://doi.org/10.1186/s12916-020-01740-5
doi: https://doi.org/10.1186/s12916-020-01740-5 URL |
[81] |
van Bork, R., Rhemtulla, M., Waldorp, L. J., Kruis, J., Rezvanifar, S., & Borsboom, D. (2019). Latent variable models and networks: Statistical equivalence and testability. Multivariate Behavioral Research, 1-24. https://doi.org/10.1080/00273171.2019.1672515
doi: https://doi.org/10.1080/00273171.2019.1672515 |
[82] |
van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Lourens, J. W., & Schoevers, R. A. (2015). Association of symptom network structure with the course of longitudinal depression. JAMA Psychiatry, 72(12), 1219-1226. https://doi.org/10.1001/jamapsychiatry.2015.2079
doi: https://doi.org/10.1001/jamapsychiatry.2015.2079 URL |
[83] |
van Borkulo, C. D., van Bork, B., Boschloo, L., Kossakowski, J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2017). Comparing network structures on three aspects: A permutation test. Manuscript submitted for publication, 10. https://doi.org/10.13140/RG.2.2.29455.38569
doi: https://doi.org/10.13140/RG.2.2.29455.38569 |
[84] |
Wardenaar, K. J., Monden, R., Conradi, H. J., & de Jonge, P. (2015). Symptom-specific course trajectories and their determinants in primary care patients with major depressive disorder: Evidence for two etiologically distinct prototypes. Journal of Affective Disorders, 179, 38-46. https://doi.org/10.1016/j.jad.2015.03.029
doi: 10.1016/j.jad.2015.03.029 pmid: 25845748 |
[1] | LI Chengzhe, SHI Yujing, ZONG Yahui, XIE Jiushu. An exploration of the continuum beliefs intervention on the stigma of mental disorders [J]. Advances in Psychological Science, 2023, 31(2): 288-300. |
[2] | FANG Qi, LUAN Kun. Multiple team membership and its mechanism [J]. Advances in Psychological Science, 2022, 30(5): 1143-1157. |
[3] | LIU Yu, HU Chuan-Peng, FAN Fumin, SUN Pei, XU Jie, CAI Yuqing, LIU Xueli. A New perspective of substance addiction based on network theory [J]. Advances in Psychological Science, 2021, 29(2): 296-310. |
[4] | YOU Yuan, WANG Li. Cognitive neurological process associated with behavioral inhibition and psychopathology in children [J]. Advances in Psychological Science, 2020, 28(4): 612-625. |
[5] | CAI Yuqing, DONG Shuyang, YUAN Shuai, HU Chuan-Peng. Network analysis and its applications in psychology [J]. Advances in Psychological Science, 2020, 28(1): 178-190. |
[6] | ZHANG Huoyin, ZHANG Mingming, DING Rui, LI Shuaixia, LUO Wenbo. “Parental brain” network and its influential factors [J]. Advances in Psychological Science, 2019, 27(6): 1072-1084. |
[7] | ZHAO Hebin, XIA Mian, CAO Ben, JIANG Guangrong. Application of contact intervention to reduce public stigma of mental disorders [J]. Advances in Psychological Science, 2019, 27(5): 843-857. |
[8] | JIN Yuchang, YU Meng, HU Yunlong. The controversies and tendency of Internet Gaming Disorder research [J]. Advances in Psychological Science, 2019, 27(1): 83-95. |
[9] | CHEN Zichen, ZHANG Huijuan, WANG Xinjian, LV Xiaokang. Three theoretical perspectives on the origin of depression [J]. Advances in Psychological Science, 2018, 26(6): 1041-1053. |
[10] | PAN Dong-ni, LI Xue-bing. Working memory training in mental disorders [J]. Advances in Psychological Science, 2017, 25(9): 1527-1543. |
[11] | XU Qinfang, WANG Yanpei. Application of EEG biomarkers in the diagnosis of developmental disorders in children [J]. Advances in Psychological Science, 2017, 25(12): 2136-2144. |
[12] | DENG Xiaoping, XU Chen, CHENG Maowei, ZHANG Xiangkui. Peer selection and peer influence: A meta-analysis on social network based research on adolescent delinquency [J]. Advances in Psychological Science, 2017, 25(11): 1898-1909. |
[13] | WANG Ming; JIANG Guangrong. Emotional disorders and their interventions: #br# A perspective of mental imagery [J]. Advances in Psychological Science, 2016, 24(4): 573-590. |
[14] | DING Ying; LI Yanfang; ZOU Yuchen. Brain Development of Children with Neurocognitive Developmental Disorders and Implications for Intervention [J]. Advances in Psychological Science, 2015, 23(8): 1398-1408. |
[15] | DU Rui; JIANG Guangrong. Suicidal Behaviors: Risk Factor, Psychological Theory and Future Research [J]. Advances in Psychological Science, 2015, 23(8): 1437-1452. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||