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Gepubliceerd in: Journal of Youth and Adolescence 7/2022

04-04-2022 | Empirical Research

Predicting How Well Adolescents Get Along with Peers and Teachers: A Machine Learning Approach

Auteurs: Farhan Ali, Rebecca P. Ang

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 7/2022

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Abstract

How well adolescents get along with others such as peers and teachers is an important aspect of adolescent development. Current research on adolescent relationship with peers and teachers is limited by classical methods that lack explicit test of predictive performance and cannot efficiently discover complex associations with potential non-linearity and higher-order interactions among a large set of predictors. Here, a transparently reported machine learning approach is utilized to overcome these limitations in concurrently predicting how well adolescents perceive themselves to get along with peers and teachers. The predictors were 99 items from four instruments examining internalizing and externalizing psychopathology, sensation-seeking, peer pressure, and parent-child conflict. The sample consisted of 3232 adolescents (M = 14.0 years, SD = 1.0 year, 49% female). Nonlinear machine learning classifiers predicted with high performance adolescent relationship with peers and teachers unlike classical methods. Using model explainability analyses at the item level, results identified influential predictors related to somatic complaints and attention problems that interacted in nonlinear ways with internalizing behaviors. In many cases, these intrapersonal predictors outcompeted in predictive power many interpersonal predictors. Overall, the results suggest the need to cast a much wider net of variables for understanding and predicting adolescent relationships, and highlight the power of a data-driven machine learning approach with implications on a predictive science of adolescence research.
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Literatuur
go back to reference Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms and profiles. University of Vermont, Research Center for Children, Youth & Families. Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms and profiles. University of Vermont, Research Center for Children, Youth & Families.
go back to reference Allen, J. P., Porter, M. R., & McFarland, F. C. (2006). Leaders and followers in adolescent close friendships: Susceptibility to peer influence as a predictor of risky behavior, friendship instability, and depression. Development and Psychopathology, 18(1), 155–172. PubMedPubMedCentralCrossRef Allen, J. P., Porter, M. R., & McFarland, F. C. (2006). Leaders and followers in adolescent close friendships: Susceptibility to peer influence as a predictor of risky behavior, friendship instability, and depression. Development and Psychopathology, 18(1), 155–172. PubMedPubMedCentralCrossRef
go back to reference Andrews, N. C., Hanish, L. D., Updegraff, K. A., Martin, C. L., & Santos, C. E. (2016). Targeted victimization: Exploring linear and curvilinear associations between social network prestige and victimization. Journal of Youth and Adolescence, 45(9), 1772–1785. PubMedCrossRef Andrews, N. C., Hanish, L. D., Updegraff, K. A., Martin, C. L., & Santos, C. E. (2016). Targeted victimization: Exploring linear and curvilinear associations between social network prestige and victimization. Journal of Youth and Adolescence, 45(9), 1772–1785. PubMedCrossRef
go back to reference Ang, R. P., Li, X., Huan, V. S., Liem, G. A. D., Kang, T., Wong, Q., & Yeo, J. Y. (2020). Profiles of antisocial behavior in school-based and at-risk adolescents in Singapore: A latent class analysis. Child Psychiatry and Human Development, 51(4), 585–596. PubMedCrossRef Ang, R. P., Li, X., Huan, V. S., Liem, G. A. D., Kang, T., Wong, Q., & Yeo, J. Y. (2020). Profiles of antisocial behavior in school-based and at-risk adolescents in Singapore: A latent class analysis. Child Psychiatry and Human Development, 51(4), 585–596. PubMedCrossRef
go back to reference Ansari, A., Hofkens, T. L., & Pianta, R. C. (2020). Teacher-student relationships across the first seven years of education and adolescent outcomes. Journal of Applied Developmental Psychology, 71, 101200. CrossRef Ansari, A., Hofkens, T. L., & Pianta, R. C. (2020). Teacher-student relationships across the first seven years of education and adolescent outcomes. Journal of Applied Developmental Psychology, 71, 101200. CrossRef
go back to reference Arnett, J. J. (1996). Sensation seeking, aggressiveness, and adolescent reckless behavior. Personality and Individual Differences, 20(6), 693–702. CrossRef Arnett, J. J. (1996). Sensation seeking, aggressiveness, and adolescent reckless behavior. Personality and Individual Differences, 20(6), 693–702. CrossRef
go back to reference Attar-Schwartz, S., Mishna, F., & Khoury-Kassabri, M. (2019). The role of classmates’ social support, peer victimization and gender in externalizing and internalizing behaviors among Canadian youth. Journal of Child and Family Studies, 28(9), 2335–2346. CrossRef Attar-Schwartz, S., Mishna, F., & Khoury-Kassabri, M. (2019). The role of classmates’ social support, peer victimization and gender in externalizing and internalizing behaviors among Canadian youth. Journal of Child and Family Studies, 28(9), 2335–2346. CrossRef
go back to reference Bae, S. M., Lee, S. A., & Lee, S.-H. (2015). Prediction by data mining, of suicide attempts in Korean adolescents: a national study. Neuropsychiatric Disease and Treatment, 11, 2367–2375. PubMedPubMedCentralCrossRef Bae, S. M., Lee, S. A., & Lee, S.-H. (2015). Prediction by data mining, of suicide attempts in Korean adolescents: a national study. Neuropsychiatric Disease and Treatment, 11, 2367–2375. PubMedPubMedCentralCrossRef
go back to reference Bosacki, S., Dane, A., Marini, Z., & YLC‐CURA. (2007). Peer relationships and internalizing problems in adolescents: Mediating role of self‐esteem. Emotional and Behavioural Difficulties, 12(4), 261–282. Bosacki, S., Dane, A., Marini, Z., & YLC‐CURA. (2007). Peer relationships and internalizing problems in adolescents: Mediating role of self‐esteem. Emotional and Behavioural Difficulties, 12(4), 261–282.
go back to reference Branje, S. (2018). Development of parent–adolescent relationships: Conflict interactions as a mechanism of change. Child Development Perspectives, 12(3), 171–176. CrossRef Branje, S. (2018). Development of parent–adolescent relationships: Conflict interactions as a mechanism of change. Child Development Perspectives, 12(3), 171–176. CrossRef
go back to reference Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21(1), 166–179. PubMedPubMedCentralCrossRef Brechwald, W. A., & Prinstein, M. J. (2011). Beyond homophily: A decade of advances in understanding peer influence processes. Journal of Research on Adolescence, 21(1), 166–179. PubMedPubMedCentralCrossRef
go back to reference Brown, B. B. (2004). Adolescents’ relationships with peers. In R. M. Lerner, & L. Steinberg (Eds.), Handbook of adolescent psychology (pp. 363–394). John Wiley & Sons Inc. Brown, B. B. (2004). Adolescents’ relationships with peers. In R. M. Lerner, & L. Steinberg (Eds.), Handbook of adolescent psychology (pp. 363–394). John Wiley & Sons Inc.
go back to reference Browne, M. W. (2000). Cross-validation methods. Journal of Mathematical Psychology, 44(1), 108–132. PubMedCrossRef Browne, M. W. (2000). Cross-validation methods. Journal of Mathematical Psychology, 44(1), 108–132. PubMedCrossRef
go back to reference Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16, 321–357. CrossRef Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16, 321–357. CrossRef
go back to reference Chen, X., Li, F., Nydegger, L., Gong, J., Ren, Y., Dinaj-Koci, V., Sun, H., & Stanton, B. (2013). Brief sensation seeking scale for chinese–cultural adaptation and psychometric assessment. Personality and Individual Differences, 54(5), 604–609. PubMedPubMedCentralCrossRef Chen, X., Li, F., Nydegger, L., Gong, J., Ren, Y., Dinaj-Koci, V., Sun, H., & Stanton, B. (2013). Brief sensation seeking scale for chinese–cultural adaptation and psychometric assessment. Personality and Individual Differences, 54(5), 604–609. PubMedPubMedCentralCrossRef
go back to reference Christodoulou, E., Ma, J., Collins, G. S., Steyerberg, E. W., Verbakel, J. Y., & Van Calster, B. (2019). A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. Journal of Clinical Epidemiology, 110, 12–22. PubMedCrossRef Christodoulou, E., Ma, J., Collins, G. S., Steyerberg, E. W., Verbakel, J. Y., & Van Calster, B. (2019). A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. Journal of Clinical Epidemiology, 110, 12–22. PubMedCrossRef
go back to reference Chung, G. H., Flook, L., & Fuligni, A. J. (2011). Reciprocal associations between family and peer conflict in adolescents’ daily lives. Child Development, 82(5), 1390–1396. PubMedPubMedCentralCrossRef Chung, G. H., Flook, L., & Fuligni, A. J. (2011). Reciprocal associations between family and peer conflict in adolescents’ daily lives. Child Development, 82(5), 1390–1396. PubMedPubMedCentralCrossRef
go back to reference Clasen, D. R., & Brown, B. B. (1985). The multidimensionality of peer pressure in adolescence. Journal of Youth and Adolescence, 14(6), 451–468. PubMedCrossRef Clasen, D. R., & Brown, B. B. (1985). The multidimensionality of peer pressure in adolescence. Journal of Youth and Adolescence, 14(6), 451–468. PubMedCrossRef
go back to reference Collins, G. S., Dhiman, P., Navarro, C. L. A., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., & Van Calster, B. (2021). Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open, 11(7), e048008. PubMedPubMedCentralCrossRef Collins, G. S., Dhiman, P., Navarro, C. L. A., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., & Van Calster, B. (2021). Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ Open, 11(7), e048008. PubMedPubMedCentralCrossRef
go back to reference Cunningham, P., & Delany, S. J. (2021). k-Nearest neighbour classifiers—A tutorial. ACM Computing Surveys (CSUR), 54(6), 1–25. CrossRef Cunningham, P., & Delany, S. J. (2021). k-Nearest neighbour classifiers—A tutorial. ACM Computing Surveys (CSUR), 54(6), 1–25. CrossRef
go back to reference De Bolle, M., & Tackett, J. L. (2013). Anchoring bullying and victimization in children within a five–factor model–based person–centred framework. European Journal of Personality, 27(3), 280–289. CrossRef De Bolle, M., & Tackett, J. L. (2013). Anchoring bullying and victimization in children within a five–factor model–based person–centred framework. European Journal of Personality, 27(3), 280–289. CrossRef
go back to reference De Goede, I. H., Branje, S. J., & Meeus, W. H. (2009). Developmental changes in adolescents’ perceptions of relationships with their parents. Journal of Youth and Adolescence, 38(1), 75–88. PubMedCrossRef De Goede, I. H., Branje, S. J., & Meeus, W. H. (2009). Developmental changes in adolescents’ perceptions of relationships with their parents. Journal of Youth and Adolescence, 38(1), 75–88. PubMedCrossRef
go back to reference Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018). Machine learning approaches for clinical psychology and psychiatry. Annual Review of Clinical Psychology, 14, 91–118. PubMedCrossRef Dwyer, D. B., Falkai, P., & Koutsouleris, N. (2018). Machine learning approaches for clinical psychology and psychiatry. Annual Review of Clinical Psychology, 14, 91–118. PubMedCrossRef
go back to reference Elkins, I. J., McGue, M., & Iacono, W. G. (1997). Genetic and environmental influences on parent–son relationships: Evidence for increasing genetic influence during adolescence. Developmental Psychology, 33(2), 351–363. PubMedCrossRef Elkins, I. J., McGue, M., & Iacono, W. G. (1997). Genetic and environmental influences on parent–son relationships: Evidence for increasing genetic influence during adolescence. Developmental Psychology, 33(2), 351–363. PubMedCrossRef
go back to reference Engel, M. L., Winiarski, D. A., Reidy, B. L., & Brennan, P. A. (2018). Early life somatic complaints: Longitudinal associations with maternal and child psychopathology. Journal of Developmental and Behavioral Pediatrics, 39(7), 573–579. PubMedPubMedCentralCrossRef Engel, M. L., Winiarski, D. A., Reidy, B. L., & Brennan, P. A. (2018). Early life somatic complaints: Longitudinal associations with maternal and child psychopathology. Journal of Developmental and Behavioral Pediatrics, 39(7), 573–579. PubMedPubMedCentralCrossRef
go back to reference Ferguson, S. M., & Ryan, A. M. (2019). It’s lonely at the top: Adolescent students’ peer-perceived popularity and self-perceived social contentment. Journal of Youth and Adolescence, 48(2), 341–358. PubMedCrossRef Ferguson, S. M., & Ryan, A. M. (2019). It’s lonely at the top: Adolescent students’ peer-perceived popularity and self-perceived social contentment. Journal of Youth and Adolescence, 48(2), 341–358. PubMedCrossRef
go back to reference Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29, 1189–1232. Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29, 1189–1232.
go back to reference Giletta, M., Choukas-Bradley, S., Maes, M., Linthicum, K. P., Card, N. A., & Prinstein, M. J. (2021). A meta-analysis of longitudinal peer influence effects in childhood and adolescence. Psychological Bulletin, 147(7), 719–747. PubMedCrossRef Giletta, M., Choukas-Bradley, S., Maes, M., Linthicum, K. P., Card, N. A., & Prinstein, M. J. (2021). A meta-analysis of longitudinal peer influence effects in childhood and adolescence. Psychological Bulletin, 147(7), 719–747. PubMedCrossRef
go back to reference Gorrese, A. (2016). Peer attachment and youth internalizing problems: A meta-analysis. Child & Youth Care Forum, 45(2), 177–204. CrossRef Gorrese, A. (2016). Peer attachment and youth internalizing problems: A meta-analysis. Child & Youth Care Forum, 45(2), 177–204. CrossRef
go back to reference Hofman, J. M., Watts, D. J., Athey, S., Garip, F., Griffiths, T. L., Kleinberg, J., Margetts, H., Mullainathan, S., Salganik, M. J., & Vazire, S. (2021). Integrating explanation and prediction in computational social science. Nature, 595(7866), 181–188. PubMedCrossRef Hofman, J. M., Watts, D. J., Athey, S., Garip, F., Griffiths, T. L., Kleinberg, J., Margetts, H., Mullainathan, S., Salganik, M. J., & Vazire, S. (2021). Integrating explanation and prediction in computational social science. Nature, 595(7866), 181–188. PubMedCrossRef
go back to reference Jacobucci, R., & Grimm, K. J. (2020). Machine learning and psychological research: The unexplored effect of measurement. Perspectives on Psychological Science, 15(3), 809–816. PubMedCrossRef Jacobucci, R., & Grimm, K. J. (2020). Machine learning and psychological research: The unexplored effect of measurement. Perspectives on Psychological Science, 15(3), 809–816. PubMedCrossRef
go back to reference Jellesma, F. C., Rieffe, C., & Terwogt, M. M. (2008). My peers, my friend, and I: Peer interactions and somatic complaints in boys and girls. Social Science and Medicine, 66(11), 2195–2205. PubMedCrossRef Jellesma, F. C., Rieffe, C., & Terwogt, M. M. (2008). My peers, my friend, and I: Peer interactions and somatic complaints in boys and girls. Social Science and Medicine, 66(11), 2195–2205. PubMedCrossRef
go back to reference Kaufman, T. M., Kretschmer, T., Huitsing, G., & Veenstra, R. (2020). Caught in a vicious cycle? Explaining bidirectional spillover between parent-child relationships and peer victimization. Development and Psychopathology, 32(1), 11–20. PubMedCrossRef Kaufman, T. M., Kretschmer, T., Huitsing, G., & Veenstra, R. (2020). Caught in a vicious cycle? Explaining bidirectional spillover between parent-child relationships and peer victimization. Development and Psychopathology, 32(1), 11–20. PubMedCrossRef
go back to reference Kim, J. H., Tsai, W., Kodish, T., Trung, L. T., Lau, A. S., & Weiss, B. (2019). Cultural variation in temporal associations among somatic complaints, anxiety, and depressive symptoms in adolescence. Journal of Psychosomatic Research, 124, 109763. PubMedPubMedCentralCrossRef Kim, J. H., Tsai, W., Kodish, T., Trung, L. T., Lau, A. S., & Weiss, B. (2019). Cultural variation in temporal associations among somatic complaints, anxiety, and depressive symptoms in adolescence. Journal of Psychosomatic Research, 124, 109763. PubMedPubMedCentralCrossRef
go back to reference Laursen, B., Coy, K. C., & Collins, W. A. (2017). Reconsidering changes in parent-child conflict across adolescence: A meta-analysis. Child Development, 69(3), 817–832. CrossRef Laursen, B., Coy, K. C., & Collins, W. A. (2017). Reconsidering changes in parent-child conflict across adolescence: A meta-analysis. Child Development, 69(3), 817–832. CrossRef
go back to reference Miller, P. J., Lubke, G. H., McArtor, D. B., & Bergeman, C. (2016). Finding structure in data using multivariate tree boosting. Psychological Methods, 21(4), 583. PubMedPubMedCentralCrossRef Miller, P. J., Lubke, G. H., McArtor, D. B., & Bergeman, C. (2016). Finding structure in data using multivariate tree boosting. Psychological Methods, 21(4), 583. PubMedPubMedCentralCrossRef
go back to reference Mõttus, R., & Rozgonjuk, D. (2021). Development is in the details: Age differences in the Big Five domains, facets, and nuances. Journal of Personality and Social Psychology, 120(4), 1035–1048. PubMedCrossRef Mõttus, R., & Rozgonjuk, D. (2021). Development is in the details: Age differences in the Big Five domains, facets, and nuances. Journal of Personality and Social Psychology, 120(4), 1035–1048. PubMedCrossRef
go back to reference Murray, A. L., Obsuth, I., Speyer, L., Murray, G., McKenzie, K., Eisner, M., & Ribeaud, D. (2021). Developmental cascades from aggression to internalizing problems via peer and teacher relationships from early to middle adolescence. Journal of Youth and Adolescence, 50(4), 663–673. PubMedPubMedCentralCrossRef Murray, A. L., Obsuth, I., Speyer, L., Murray, G., McKenzie, K., Eisner, M., & Ribeaud, D. (2021). Developmental cascades from aggression to internalizing problems via peer and teacher relationships from early to middle adolescence. Journal of Youth and Adolescence, 50(4), 663–673. PubMedPubMedCentralCrossRef
go back to reference Nair, J., Nair, S. S., Kashani, J. H., Reid, J. C., & Rao, V. G. (2001). A neural network approach to identifying adolescent adjustment. Adolescence, 36(141), 153–153. PubMed Nair, J., Nair, S. S., Kashani, J. H., Reid, J. C., & Rao, V. G. (2001). A neural network approach to identifying adolescent adjustment. Adolescence, 36(141), 153–153. PubMed
go back to reference Pakarinen, E., Silinskas, G., Hamre, B. K., Metsäpelto, R.-L., Lerkkanen, M.-K., Poikkeus, A.-M., & Nurmi, J.-E. (2018). Cross-lagged associations between problem behaviors and teacher-student relationships in early adolescence. Journal of Early Adolescence, 38(8), 1100–1141. CrossRef Pakarinen, E., Silinskas, G., Hamre, B. K., Metsäpelto, R.-L., Lerkkanen, M.-K., Poikkeus, A.-M., & Nurmi, J.-E. (2018). Cross-lagged associations between problem behaviors and teacher-student relationships in early adolescence. Journal of Early Adolescence, 38(8), 1100–1141. CrossRef
go back to reference Ribeiro, M. T., Singh, S., & Guestrin, C. (2016). “Why should I trust you?” Explaining the predictions of any classifier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–1144. Ribeiro, M. T., Singh, S., & Guestrin, C. (2016). “Why should I trust you?” Explaining the predictions of any classifier. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1135–1144.
go back to reference Roorda, D. L., & Koomen, H. M. (2021). Student–teacher relationships and students’ externalizing and internalizing behaviors: A cross‐lagged study in secondary education. Child Development, 92(1), 174–188. PubMedCrossRef Roorda, D. L., & Koomen, H. M. (2021). Student–teacher relationships and students’ externalizing and internalizing behaviors: A cross‐lagged study in secondary education. Child Development, 92(1), 174–188. PubMedCrossRef
go back to reference Senior, M., Fanshawe, T., Fazel, M., & Fazel, S. (2021). Prediction models for child and adolescent mental health: A systematic review of methodology and reporting in recent research. JCPP Advances, 1(3), e12034. CrossRef Senior, M., Fanshawe, T., Fazel, M., & Fazel, S. (2021). Prediction models for child and adolescent mental health: A systematic review of methodology and reporting in recent research. JCPP Advances, 1(3), e12034. CrossRef
go back to reference Shmueli, G. (2010). To explain or to predict? Statistical Science, 25(3), 289–310. CrossRef Shmueli, G. (2010). To explain or to predict? Statistical Science, 25(3), 289–310. CrossRef
go back to reference Theimann, M. (2016). School as a space of socialization and prevention. European Journal of Criminology, 13(1), 67–91. CrossRef Theimann, M. (2016). School as a space of socialization and prevention. European Journal of Criminology, 13(1), 67–91. CrossRef
go back to reference Urban, C. J., & Gates, K. M. (2021). Deep learning: A primer for psychologists. Psychological Methods, 26, 743–773. Urban, C. J., & Gates, K. M. (2021). Deep learning: A primer for psychologists. Psychological Methods, 26, 743–773.
go back to reference van Aken, M. A. G., & Asendorpf, J. B. (2018). Personality and peer relationships. In W. M. Bukowski, B. Laursen, & K. H. Rubin (Eds.), Handbook of peer interactions, relationships, and groups (2nd ed., pp. 159–176). Guildford Press. van Aken, M. A. G., & Asendorpf, J. B. (2018). Personality and peer relationships. In W. M. Bukowski, B. Laursen, & K. H. Rubin (Eds.), Handbook of peer interactions, relationships, and groups (2nd ed., pp. 159–176). Guildford Press.
go back to reference Wang, Z., Yu, C., Zhang, W., Chen, Y., Zhu, J., & Liu, Q. (2017). School climate and adolescent aggression: A moderated mediation model involving deviant peer affiliation and sensation seeking. Personality and Individual Differences, 119, 301–306. CrossRef Wang, Z., Yu, C., Zhang, W., Chen, Y., Zhu, J., & Liu, Q. (2017). School climate and adolescent aggression: A moderated mediation model involving deviant peer affiliation and sensation seeking. Personality and Individual Differences, 119, 301–306. CrossRef
go back to reference Wentzel, K. R. (2017). Peer relationships, motivation, and academic performance at school. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation (pp. 586–603). The Guilford Press. Wentzel, K. R. (2017). Peer relationships, motivation, and academic performance at school. In A. J. Elliot, C. S. Dweck, & D. S. Yeager (Eds.), Handbook of competence and motivation (pp. 586–603). The Guilford Press.
go back to reference Wolpert, D. H. (1996). The lack of a priori distinctions between learning algorithms. Neural Computation, 8(7), 1341–1390. CrossRef Wolpert, D. H. (1996). The lack of a priori distinctions between learning algorithms. Neural Computation, 8(7), 1341–1390. CrossRef
go back to reference Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons from machine learning. Perspectives on Psychological Science, 12(6), 1100–1122. PubMedPubMedCentralCrossRef Yarkoni, T., & Westfall, J. (2017). Choosing prediction over explanation in psychology: Lessons from machine learning. Perspectives on Psychological Science, 12(6), 1100–1122. PubMedPubMedCentralCrossRef
go back to reference Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge University Press. Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge University Press.
Metagegevens
Titel
Predicting How Well Adolescents Get Along with Peers and Teachers: A Machine Learning Approach
Auteurs
Farhan Ali
Rebecca P. Ang
Publicatiedatum
04-04-2022
Uitgeverij
Springer US
Gepubliceerd in
Journal of Youth and Adolescence / Uitgave 7/2022
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI
https://doi.org/10.1007/s10964-022-01605-5

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