Social-emotional (SE) skills include the knowledge, attitudes, and skills necessary for youth to recognize and control their emotions and behaviors; establish and maintain positive relationships; make responsible decisions and solve challenging situations; and set and achieve positive goals.1,2 Sometimes labeled as 21st century skills,3 soft skills,4 non-cognitive skills,5 or character attributes,6 SE skills have been shown to be malleable and linked to academic, career, and life success.7 Based on this evidence, promoting these skills in young people has become a priority for both schools and afterschool settings.
Rhodes’ model of youth mentoring8 points to an important role for mentors in promoting SE skills. Mentoring relationships that are emotionally engaging (e.g., through trust, empathy, mutuality) are expected to produce social and emotional growth in young people that will improve their relationships with peers, parents, and other adults as well as their overall well-being and success in life. Indeed, meta-analyses have linked quality mentoring programs9,10 as well as quality afterschool programs11 to improvements in social and emotional development. These impacts extend across program types and across youth background and demographic characteristics. For example, cross-age peer mentoring programs have been indicated to contribute to improvements in mentees’ communication skills and social adjustment.12 In addition, youth with learning and behavioral difficulties have also shown social gains in areas of self-control and cooperation after engaging with a mentor.13 However, it is important to note that these effects are often small in magnitude and have not been consistent across all outcome measures relevant to SE skills or across all programs.
In deciding what SE skills from the broad array to include in this Toolkit, priority was given to those skills that have most consistently been linked to short- and long-term success in multiple domains such as mental health, behavior, and academics. Emphasis was also given to SE skills that, based on available evidence, seem most likely to be malleable to mentoring. It is important to note here that one should use caution with only collecting youth self-report data to assess SE skills. As self-awareness is also a key facet of SE skills, youth with poor self-awareness may not accurately report their other SE skills. In assessing SE skills as outcomes, it thus may be especially valuable to gather data from additional informants, such as mentors, parents, or teachers, as well as through objective assessments such as observations of behavior.
Measures within this domain:
Self-control refers to one’s ability to regulate one’s emotions and behaviors.14 It may involve delaying gratification, controlling impulses, focusing attention, and following rules. Self-control is seen as foundational to the other SE skills. For example, successfully maintaining positive peer relationships or working constructively with others often requires the ability to control one’s emotions and act in socially appropriate ways. The ability to control one’s emotions and behaviors has been linked to success in all domains of life including educational, social, and vocational contexts. For example, seminal research by Mischel and colleagues has suggested that there are long-term effects of self-control on positive outcomes later in life; preschoolers’ ability to delay gratification was linked to academic, behavioral, and social success in adolescence as well as higher SAT scores, college completion rates, and income levels.15 Following a cohort of 1,000 children from birth to the age of 32, Moffitt and colleagues16 also linked childhood self-control in favorable directions to several developmental outcomes including physical health, personal finances, substance use, and criminal behavior. Surprisingly little research has directly investigated the effects of youth mentoring on self-control abilities. In a notable exception, an evaluation of Across Ages, an intergenerational mentoring program, found that program participants exhibited greater improvements in their self-reported self-control abilities.
However, these effects were not maintained following the end of program involvement.17 Another exception to the dearth of work examining the link between mentoring and self-control is a longitudinal study by Kogan and colleagues.18 Using data from a sample of rural African American youth, they found that positive natural mentoring relationships predicted greater self-control in these youth as rated by their parents, which in turn, was linked to less anger, rule-breaking behavior, and aggression.18
Social competence is the set of abilities needed to be assertive and to create and maintain positive relationships.19 These skills are necessary to get along well with others and to work constructively with others within established social norms across multiple contexts. For example, a consistent and robust body of research indicates that social competence predicts career success in terms of employment, workplace performance, income, and entrepreneurial success.4 Mentors can serve as a key resource for promoting social competence. Rhodes’ model of mentoring8 described this process and empirical evidence supports this idea. DuBois and colleagues’ meta-analysis of 55 evaluations of youth mentoring programs9 suggested that, on average, participation in mentoring programs significantly improved the social competence of youth. In the landmark Public/Private Ventures evaluation of the Big Brothers Big Sisters program,20 for example, findings indicated that mentored youth improved in their relationships with peers and parents as compared to non-mentored youth.
Problem-solving ability involves the capacity to identify a problem, collect information from multiple sources to consider options, and select a reasonable solution to that problem. Effective problem-solving has been conceptualized as involving “planning, flexibility, and resourcefulness.”21 Resilient children and adolescents growing up in adverse environments are often found to have strong problem-solving abilities.22,23 Theoretically, mentors can serve as role models for positive problem-solving by modeling a calm, thoughtful, and flexible approach to dealing with problems. In addition, mentors can serve as resources for advice to young people as they work through problems, such as in their relationships with family members, peers, and teachers. However, there has been very little empirical evidence examining the role of mentoring in affecting problem-solving ability (or similar higher-order thinking constructs such as decision making and critical thinking.)
The ability to set appropriate goals and effectively pursue them is widely understood to be central to healthy development.24,25 In line with this view, results from the Lerner and Lerner 4-H Study of PYD26 have consistently linked goal-directed skills to positive youth development outcomes. Helping youth to develop goal-setting and goal-pursuit skills is a key aim in the organization and structuring of many mentoring programs.27 Mentors may prove helpful in building these skills in youth through several ways.28 Mentors serve as teachers, role models, and advocates for youth as they provide opportunities for youth to practice these skills, examples of success and failure in pursuing goals, and access to social networks that align with youth goals. Only limited research has addressed these possibilities. In one recent study using data from 415 mentor-mentee dyads from mentoring programs around the United States, Bowers and colleagues29 found that mentor-mentee relationship quality predicted growth in youth goal-directed skills. In another recent study involving Big Brothers Big Sisters community-based mentoring programs,30 youth who were randomly assigned to receive support with development of skills for goal-setting and pursuit (along with other facets of thriving) did not show any greater improvement in this area than youth assigned to receive mentoring as usual. However, for a subgroup of these youth who reported having positive exposure to the activities that were designed to build goal-directed skills, it appears that they were indeed beneficial for promoting thriving and, in turn, reduced problem behavior. Further research will be needed to better clarify the conditions under which mentoring is most likely to help youth cultivate skills for setting and working toward goals effectively.
Perseverance refers to the ability to pursue one’s tasks to completion. It has attracted considerable interest from practitioners, researchers, and policy-makers, particularly in relation to its potential role in facilitating academic and career success. Youth self-reports of greater perseverance have been positively linked to measures of their GPA, healthy habits, and (as rated by teachers) academic performance, cooperation, effort, and organization, and has been negatively linked to youth depression, anxiety, and aggression. 31 A systematic review of program and learning models suggests that perseverance can be taught and developed.32
Most studies on the role of adults in promoting youth perseverance have been conducted in school settings. Reviews of this work indicate that youth are more likely to persist when they view adults as showing they care about them, having high expectations for their success, and holding them to high standards.33 In an evaluation of five after-school centers from the San Francisco Beacon Initiative,34 young people who participated in the Beacon centers for a year or more were 33 percent less likely to show a decline in self-reported perseverance (identified as “self-efficacy” in the study) over an 18-month period than youth who either did not participate in the Beacon center programming or who participated for less time. Increased participation in Beacon centers was also linked to increased levels of non-family adult support, which, in turn, significantly predicted positive changes in perseverance. A quasi-experimental evaluation of OneGoal, a college preparation program with the goal of college graduation and emphasis on social support, found that youth in the OneGoal program had higher rates of college enrollment and retention than comparison-group youth, and that growth in the SE skills of persistence and self-control was linked to college enrollment and retention for OneGoal participants.35
A construct related to perseverance is grit36–one’s sustained interest in and perseverance of efforts over years toward a long-term goal. A meta-analysis of findings from 88 independent study samples indicated that the perseverance of effort dimension of grit was much more strongly related to measures of academic performance than the consistency of interest dimension or overall grit scores,37 providing additional evidence for an important contribution of perseverance to youth success. It should be noted, however, that the potential for mentoring programs to promote perseverance has not been rigorously investigated.
During adolescence, a youth’s sense of personal future develops, and identity exploration and commitment become important developmental tasks.38 Educational and career achievements are a typical focus of adolescent thoughts of the future.39 How youth approach career exploration has been linked to variation in indicators of positive youth development40 including school engagement41 and academic success.42 Career and academic processes, in turn, have been linked to youth perseverance and success in the subsequent school-to-work transition.43
Theoretically, mentoring relationships can help place young people on a path to career success. Social Cognitive Career Theory (SCCT)44 posits that career development is a lifelong process that can be facilitated in childhood and adolescence through career exploration and support, modeling, resources, and feedback from others including mentors, teachers, and counselors. For example, support from parents, close friends, and non-parental adults such as extended family members and teachers has been linked to career development in urban youth,45 and natural mentoring relationships have been linked to reported use of planful strategies to pursue long-term career goals among rural African American youth and emerging adults46 as well as indices of the career development of pregnant and parenting African-American teenagers.47 Natural mentoring relationships in adolescence have also been associated positively with work hours per week in the early twenties48,49 and with intrinsic job rewards (creativity, authority, and autonomy) in the early thirties.50 Analyses based on the same nationally representative sample further found that the reported presence of a natural mentor was linked to greater annual earnings during adulthood for males without fathers and especially so for African-American males without fathers.51 Similar possible benefits for annual earnings for young men, especially those at risk for high school dropout, were identified in an evaluation of the Career Academy mentoring program.52, 53 Males enrolled in the Career Academy earned more than those in the non-Academy control group over the 4- and 8-year follow-up periods via increased wages, hours worked, and employment stability. A recent evaluation of the iMentor program also found evidence of an effect of program participation on career planning.54 Evidence regarding the ability of programs geared toward younger youth and without a specific focus on career development to promote career exploration, however, is lacking.
1. Collaborative for Academic, Social, and Emotional Learning. (2005). Safe and sound: An educational leader’s guide to evidence-based social and emotional learning programs— Illinois edition. Chicago, IL: Author. Retrieved from http://bit.ly/2bmjuyx
2. Elias, M. J., Zins, J. E., Weissberg, R. P., Frey, K. S., Greenberg, M. T., Haynes, … Shriver, T.P. (1997). Promoting social and emotional learning: Guidelines for educators. Alexandria, VA: Association for Supervision and Curriculum Development.
3. Partnership for 21st Century Skills. (2014). Framework for 21st Century skills. Washington, DC: Author. Retrieved from http://www.p21.org/about-us/p21-framework
4. Lippman, L., Ryberg, R., Carney, R., & Moore, K. A. (2015). Key ‘soft skills’ that foster youth workforce success: Toward a consensus across fields. Retrieved from http://www.childtrends.org/wp-content/uploads/2015/06/2015-24WFCSoftSkills1.pdf
5. Heckman, J. J., Stixrud, J., & Urzua, S. (2006). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior (No. w12006). Cambridge, MA: National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w12006
6. Ji, P., Flay, B. R., & DuBois, D. L. (2013). Social-Emotional and Character Development Scale: Development and initial validation with urban elementary school students. Journal of Research in Character Education, 9, 121–147. Retrieved from http://bit.ly/2boKJHM
7. Gutman, L. M., & Schoon, I. (2016) A synthesis of causal evidence linking non-cognitive skills to later outcomes for children and adolescents. In M. S. Khine & S. Areepattamannil (Eds.), Non-cognitive skills and factors in educational attainment (pp.171–198). Rotterdam, The Netherlands: Sense Publishers.
8. Rhodes, J. E. (2005). A model of youth mentoring. In D. L. DuBois & M. J. Karcher (Eds.), Handbook of youth mentoring (pp. 30–43). Thousand Oaks, CA: SAGE.
9. DuBois, D. L., Holloway, B. E., Valentine, J. C., & Cooper, H. (2002). Effectiveness of mentoring programs for youth: A meta-analytic review. American Journal of Community Psychology, 30, 157–197. http://dx.doi.org/10.1023/A:1014628810714
10. DuBois, D. L., Portillo, N., Rhodes, J. E., Silverthorn, N., & Valentine, J. C. (2011). How effective are mentoring programs for youth? A systematic assessment of the evidence. Psychological Science in the Public Interest, 12, 57–91. http://dx.doi.org/10.1177/1529100611414806
11. Durlak, J. A., Weissberg, R. P., & Pachan, M. (2010). A meta‐analysis of after‐school programs that seek to promote personal and social skills in children and adolescents. American Journal of Community Psychology, 45, 294–309. http://dx.doi.org/10.1007/s10464-010-9300-6
12. Karcher, M. J. (2005). The effects of school-based developmental mentoring and mentors’ attendance on mentees’ self-esteem, behavior, and connectedness. Psychology in the Schools, 42, 65–77. http://dx.doi.org/10.1002/pits.20025
13. Muscott, H. S., & O'Brien, S. T. (1999). Teaching character education to students with behavioral and learning disabilities through mentoring relationships. Education and Treatment of Children, 22, 373–90. http://www.jstor.org/stable/42899580
14. Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self-control. Current Directions in Psychological Science, 16, 351–355. http://dx.doi.org/10.1111/j.1467-8721.2007.00534.x
15. Shoda, Y. Mischel, W., & Peake, P. K. (1990). Predicting adolescent cognitive and self-regulatory competencies from preschool delay of gratification: Identifying diagnostic conditions. Developmental Psychology, 26, 978–986. http://dx.doi.org/10.1037/0012-16126.96.36.1998
16. Moffitt, T. E., Arseneault, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., . . . Caspi, A. (2011). A gradient of childhood self-control predicts health, wealth, and public safety. Proceedings of the National Academy of Sciences of the United States of America, 108, 2693–2698. http://www.pnas.org/content/108/7/2693.full
17. Aseltine, R. H., Dupre, M., & Lamlein, P. (2000). Mentoring as a drug prevention strategy: An evaluation of Across Ages. Adolescent and Family Health, 1, 11–20.
18. Kogan, S. M., Brody, G. H., & Chen, Y. F. (2011). Natural mentoring processes deter externalizing problems among rural African American emerging adults: A prospective analysis. American Journal of Community Psychology, 48, 272–283. http://dx.doi.org/10.1007/s10464-011-9425-2
19. Muris, P. (2001). A brief questionnaire for measuring self-efficacy in youths. Journal of Psychopathology and Behavioral Assessment, 23, 145–149. http://dx.doi.org/10.1023/A:1010961119608
20. Tierney, J. P., Grossman, J. B., & Resch, N. L. (1995). Making a difference: An impact study of Big Brothers/Big Sisters. Philadelphia: Public/Private Ventures. Retrieved from http://bit.ly/2bUT3gf
21. Hanson, T. L., & Kim, J. O. (2007). Measuring resilience and youth development: The psychometric properties of the Healthy Kids Survey. (Issues & Answers Report, REL 2007–No. 034). Washington, DC: U.S. Department of Education. Retrieved from http://www.ies.ed.gov/ncee/edlabs/regions/west/pdf/REL_2007034.pdf
22. Benard, B. (1991). Protective factors in the family, school, and community. Portland, OR: Western Center for Drug-Free Schools and Communities. https://www.wested.org/wp-content/files_mf/1373568312resource93.pdf
23. Dumont, M., & Provost, M. A. (1999). Resilience in adolescents: Protective role of social support, coping strategies, self-esteem, and social activities on experience of stress and depression. Journal of Youth and Adolescence, 28, 343–363. http://dx.doi.org/10.1023/A:1021637011732
24. Bowers, E. P., Geldhof, G. J., Chase, P., Gestsdottir, S., Urban, J. B., & Lerner, R. M. (2015). Self-regulation during adolescence: Variations associated with individual ↔ context relations. In J. Berry, & H. Keller (Eds.) and J. D. White (Ed. in Chief), International Encyclopedia of Social and Behavioral Sciences (Vol. 21, 2nd ed., pp. 547–552). Oxford, England: Elsevier.
25. Gestsdóttir, S., & Lerner, R. M. (2007). Intentional self-regulation and positive youth development in early adolescence: Findings from the 4-H Study of Positive Youth Development. Developmental Psychology, 43, 508–521. http://dx.doi.org/10.1037/0012-16188.8.131.528
26. Lerner, R. M., Lerner, J. V., Almerigi, J., Theokas, C., Phelps, E., Gestsdottir, S. . . . von Eye, A. (2005). Positive youth development, participation in community youth development programs, and community contributions of fifth grade adolescents: Findings from the first wave of the 4-H Study of Positive Youth Development. Journal of Early Adolescence, 25, 17–71. http://dx.doi.org/10.1177/0272431604272461
27. Balcazar, F. E., & Keys, C. B. (2014). Goals in mentoring relationships. In D. L. DuBois & M. J. Karcher (Eds.), Handbook of youth mentoring (2nd ed., pp. 83–98). Thousand Oaks, CA: SAGE.
28. Rhodes, J. E., Spencer, R., Keller, T. E., Liang, B., & Noam, G. (2006). A model for the influence of mentoring relationships on youth development. Journal of Community Psychology, 34, 691–707. http://dx.doi.org/10.1002/jcop.20124
29. Bowers, E. P., Wang, J., Tirrell, J. M., & Lerner, R. M. (2016). A cross-lagged model of the development of mentor-mentee relationships and intentional self regulation in adolescence. Journal of Community Psychology, 44, 118–138. http://dx.doi.org/10.1002/jcop.21746
30. DuBois, D. L., & Keller, T. E. (in press). Investigation of the integration of supports for youth thriving into a community-based mentoring program. Child Development.
31. Kern, M. L., Benson, L., Steinberg, E.A., &, Steinberg, L. (2016). The EPOCH measure of adolescent well-being. Psychological Assessment, 28, 586–597. http://dx.doi.org/10.1037/pas0000201
32. Shechtman, N., DeBarger, A. H., Dornsife, C., Rosier, S., & Yarnall, L. (2013). Promoting grit, tenacity, and perseverance: Critical factors for success in the 21st century. U.S. Department of Education, Office of Educational Technology. Retrieved from http://pgbovine.net/OET-Draft-Grit-Report-2-17-13.pdf
33. National Research Council and Institute of Medicine. (2003). Engaging schools: Fostering high school students' motivation to learn. Washington, DC: The National Academies Press. Retrieved from https://www.nap.edu/download/10421
34. Walker, K. E., & Arbreton, A. J. A. (2004). After-school pursuits: An examination of outcomes in the San Francisco Beacon Initiative. Philadelphia: Public/Private Ventures. Retrieved from http://admin.issuelab.org/permalink/download/1982
35. Kautz T. D., Zanoni W. (2014). Measuring and fostering non-cognitive skills in adolescence: Evidence from Chicago Public Schools and the OneGoal Program. Unpublished manuscript, Department of Economics, University of Chicago, Chicago, IL. Retrieved from http://www.issuelab.org/resources/26888/26888.pdf
36. Duckworth, A. L., Peterson, C., Matthews, M. D., & Kelly, D. R. (2007). Grit: Perseverance and passion for long-term goals. Journal of Personality and Social Psychology, 92, 1087–1101. http://dx.doi.org/10.1037/0022-35184.108.40.2067
37. Credé, M., Tynan, M. C., & Harms, P. D. (2016, June 16). Much ado about Grit: A meta-analytic synthesis of the Grit literature. Journal of Personality and Social Psychology. Advance online publication. http://dx.doi.org/10.1037/pspp0000102
38. Brandtstädter, J. (1998). Action perspectives on human development. In W. Damon & R. M. Lerner, (Eds.), Handbook of child psychology: Theoretical models of human development (pp. 807-863). New York: Wiley.
39. Nurmi, J. E. (1991). How do adolescents see their future? A review of the development of future orientation and planning. Developmental Review, 11, 1–59. http://dx.doi.org/10.1016/0273-2297(91)90002-6
40. Skorikov, V. B., & Vondracek, F. W. (2011). Occupational identity. In S. J. Schwartz, K. Luyckx, & V. L. Vignoles (Eds.), Handbook of identity theory and research (pp. 693–714). New York: Springer.
41. Kenny, M. E., Blustein, D. L., Haas, R. F., Jackson, J., & Perry, J. C. (2006). Setting the stage: Career development and the student engagement process. Journal of Counseling Psychology, 53, 272–279. http://dx.doi.org/10.1037/0022-0220.127.116.112
42. Oliveira Í. M., Taveira M. C., & Porfeli, E. J. (2017) Career preparedness and school achievement of Portuguese children: Longitudinal trend articulations. Frontiers in Psychology, 8, 618 - 630. http://dx.doi.org/10.3389/fpsyg.2017.00618
43. Bandura, A., Barbaranelli, C., Caprara, G. V., and Pastorelli, C. (2001). Self-efficacy beliefs as shapers of children’s aspirations and career trajectories. Child Development, 72, 187–206. http://dx.doi.org/10.1111/1467-8624.00273
44. Lent, R. W., Hackett, G., & Brown, S. D. (1999). A social cognitive view of school-to-work transition. Career Development Quarterly, 47, 297–311. http://dx.doi.org/10.1002/j.2161-0045.1999.tb00739.x
45. Kenny, M. E., Blustein, D. L., Chaves, A., Grossman, J. M., & Gallagher, L. A. (2003). The role of perceived barriers and relational support in the educational and vocational lives of urban high school students. Journal of Counseling Psychology, 50, 142–155. http://dx.doi.org/10.1037/0022-018.104.22.168
46. Kogan, S. M., Brody, G. H., & Chen, Y. F. (2011). Natural mentoring processes deter externalizing problems among rural African American emerging adults: A prospective analysis. American Journal of Community Psychology, 48(3–4), 272–283. http://dx.doi.org/10.1007/s10464-011-9425-2
47. Klaw E. L., & Rhodes J. E. (1995).Mentor relationships and the career development of pregnant and parenting African-American teenagers. Psychology of Women Quarterly, 19, 551–562. http://dx.doi.org/10.1111/j.1471-6402.1995.tb00092.x
48. DuBois, D. L., & Silverthorn, N. (2005). Natural mentoring relationships and adolescent health: Evidence from a national study. American Journal of Public Health, 95(3), 518–524. http://dx.doi.org/10.2105/AJPH.2003.031476 49. McDonald, S., Erickson, L. D., Johnson, M. K., & Elder, G. H., Jr. (2007). Informal mentoring and young adult employment. Social Science Research, 36(4), 1328–1347. https://doi.org/10.1016/j.ssresearch.2007.01.008
50. McDonald, S., & Lambert, J. (2014). The long arm of mentoring: A counterfactual analysis of natural youth mentoring and employment outcomes in early careers. American Journal of Community Psychology, 54, 262–273. http://dx.doi.org/10.1007/s10464-014-9670-2
51. Timpe, Z. C., & Lunkenheimer, E. (2015). The long-term economic benefits of natural mentoring relationships for youth. American Journal of Community Psychology, 56, 12–24. http://dx.doi.org/10.1007/s10464-015-9735-x.
52. Kemple, J. J., & Scott–Clayton, J. (2004). Career Academies: Impacts on labor market outcomes and educational attainment. San Francisco, Calif.: Manpower Demonstration Research Corporation. Retrieved from http://www.mdrc.org/sites/default/files/full_49.pdf
53. Kemple, J. J., & Willner, C. J. (2008). Career Academies: Long-term impacts on labor market outcomes, educational attainment, and transitions to adulthood. San Francisco, CA: Manpower Demonstration Research Corporation. Retrieved from http://www.mdrc.org/publications/482/full.pdf
54. Merrill, L., Siman, N., Wulach, S., & Kang, D. (2015). Bringing together mentoring, technology, and whole-school reform. New York, NY: The Research Alliance for New York City Schools. Retrieved from http://steinhardt.nyu.edu/research_alliance/publications/imentor_first_look