Startseite The Effect of Soft Skills on Academic Outcomes
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

The Effect of Soft Skills on Academic Outcomes

  • Shao-Hsun Keng ORCID logo EMAIL logo
Veröffentlicht/Copyright: 24. Oktober 2023

Abstract

This paper uses administrative data and a soft skill index integrating seven personality traits to examine the relationship between soft skills and academic outcomes. I exploit the timing of soft skill assessment and study the interaction between soft and cognitive skills in education production. The results show that soft skills are positively associated with academic outcomes. Soft and cognitive skills are both substitutes and complements in education production. The complementarity between both skills is asymmetric. Soft skills and returns to cognitive skills exhibit a U-shaped relationship, while returns to soft skills fail to show such a relationship with cognitive skills. Time-use data suggest that soft skills may have a causal effect on academic achievements, and increased study time is a mechanism through which soft skills affect these outcomes. Soft skills can reduce inequality in academic outcomes due to differences in cognitive ability. Investment in non-cognitive skills can be quite rewarding.

JEL Classification Codes: I21; I23; I26; J08; J23; J24

Corresponding author: Shao-Hsun Keng, Department of Applied Economics, National University of Kaohsiung, 700, Kaohsiung University Road, Kaohsiung, Taiwan, E-mail:

Acknowledgments

I want to express my gratitude to the Office of Institutional Research at the National University of Kaohsiung for providing the data. The generous financial support from the National Science Council is deeply appreciated (MOST-108-2410-H-390-002). I am also grateful for the constructive comments from two anonymous reviewers. The views expressed herein are those of the author and do not necessarily reflect the viewpoints of the Office of Institutional Research at the National University of Kaohsiung.

Appendix A: Sample Attrition Analysis

Although the response rates of the UCAN assessment exceed 90 %, the estimates can be biased if attrition from the survey is nonrandom. To check for nonrandom attrition, I compare the pre-college characteristics and college admission channels between students who took the UCAN assessment and those who did not. Table A1 reports the means of pre-college variables and the statistical tests for the differences in characteristics between the two groups. The results fail to find any systematic difference in pre-college and admission characteristics except for gender. Male students are significantly more likely to be in the non-response group.

Table A1:

Check for nonrandom attrition by UNCA participants and non-participants.

Variables UCAN participants UCAN non-participants Difference
Male 0.555 (0.497) 0.818 (0.387) 0.263***
GSAT 34.804 (3.525) 35.242 (3.841) 0.437
STARS program 0.189 (0.391) 0.140 (0.348) −0.049
Application 0.449 (0.497) 0.391 (0.489) −0.058
Tier 1 high school 0.161 (0.367) 0.168 (0.375) 0.007
Tier 2 high school 0.360 (0.481) 0.364 (0.483) 0.004
n 1721 132
  1. Note: Standard deviation is reported in parentheses. ***Significant at the 1 % significance level. **Significant at the 5 % significance level. *Significant at the 10 % significance level.

When further examining the missing patterns, sixty-two percent of the missing observations are from the Department of Electrical Engineering and the Department of Civil and Environmental Engineering in 2020. Hence, I delete students admitted to these two departments in 2020 and reestimate Equation (2). Table A2 shows that the return to soft skills decreases slightly but remains positive and statistically significant. Removal of observations from these two departments has little impact on the estimates, suggesting that the estimates are fairly robust. Given that most pre-college characteristics are similar between UCAN participants and non-participants, the impact of non-response on the estimates is likely to be limited.

Table A2:

Attrition analysis by excluding students in the departments of electrical engineering and civil engineering admitted in 2020.

Variable Grades Grades Grades Grades Prob (fail = 1) Prob (fail = 1)
soft_pca 0.023 (0.01)*** 0.021 (0.01)** −0.001 (0.002)
soft_pca × GSAT −0.035 (0.01)*** 0.002 (0.003)
soft_weighted 0.024 (0.011)*** 0.022 (0.01)*** −0.002 (0.002)
soft_weighted × GSAT −0.034 (0.01)*** 0.001 (0.003)
GSAT 0.156 (0.021)*** 0.151 (0.021)*** 0.156 (0.021)*** 0.151 (0.021)*** −0.035 (0.009)*** −0.035 (0.009)***
R squared 0.10 0.11 0.11 0.10 0.14 0.14
n 9956 9956 9956 9956 9956 9956
  1. Note: The dependent variable in the first four columns is the standardized course grades. Control variables in the regression are the same as those in Table 2. The standard errors are clustered by instructors and reported in parentheses. ***Significant at the 1 % significance level. **Significant at the 5 % significance level. *Significant at the 10 % significance level.

Appendix B: UCAN Survey Questions

The aptitude of personality traits common to the workplace represents the abilities required to be engaged in various occupations. The following self-assessment will check the current level of your aptitude for eight personality traits common to the workplace and help you make career planning and study preparations.

Scale 1: I can’t complete the task and consider myself having difficulty learning.
2: I can’t complete the task; however, I may be able to complete it if I study hard.
3: I can’t complete the task; however, I can complete the task if I study hard.
4: I can complete the task, but there is still room for improvement.
5: I can complete the task well.
Communication Through oral communication, written statements, and other means, I can express my thoughts
to others and strive to understand the information conveyed by others.
1 When talking to people at work, I can identify the themes and goals of the conversation 1 2 3 4 5
2 When talking with people, I can focus on listening and observing other people’s messages. I am willing to listen to and accept people’s opinions even if I disagree with them 1 2 3 4 5
3 I can adopt appropriate methods and skills to deliver messages clearly and engage in dialogues when communicating with different people 1 2 3 4 5
4 I can correctly interpret work-related documents, such as texts, figures, tables, technical reports, and test results. 1 2 3 4 5
5 I can use correct grammar, formats, or logic to produce reports that meet the organization’s or job’s requirements 1 2 3 4 5
6 I can adequately deliver a statement in writing to different people 1 2 3 4 5
7 I have the foreign language proficiency required by the organization or work to communicate 1 2 3 4 5
Ambitiousness I understand the importance of competency development and can explore, plan, and effectively manage my
competency and maintain the ambition to grow.
1 I persistently maintain the curiosity to learn new things and skills 1 2 3 4 5
2 I can master the knowledge and skills that are necessary for career development 1 2 3 4 5
3 I can set specific goals for the growth of my ability 1 2 3 4 5
4 I understand and undertake continuous learning and training for career development 1 2 3 4 5
5 I can continuously develop professional skills in response to industry trends 1 2 3 4 5
6 I can draw beneficial experiences from interactions with others 1 2 3 4 5
7 I persistently apply various methods and channels to improve my abilities 1 2 3 4 5
Agreeableness I can use appropriate methods and personality to interact or work with others in response to different situations.
1 I can establish a good interpersonal relationship by understanding the needs and feelings of others with empathy 1 2 3 4 5
2 I can analyze my field and proactively identify important relationships that need to be established or improved 1 2 3 4 5
3 I seek or create opportunities to reach out to and build relationships with others 1 2 3 4 5
4 I am willing to take the initiative to show goodwill to those who provide information or assistance at work 1 2 3 4 5
5 I am willing to provide assistance and support to others at work to build mutually beneficial future relationships 1 2 3 4 5
6 I can systematically use appropriate methods to manage social networks and connections 1 2 3 4 5
Teamwork I can actively participate in teamwork and interact well with team members to achieve goals together.
1 I prioritize team goals and support team decisions 1 2 3 4 5
2 I actively participate and express opinions sincerely on the team 1 2 3 4 5
3 I can provide constructive feedback to comments made by team members 1 2 3 4 5
4 I genuinely value the opinions and expertise of team members and am willing to learn from them 1 2 3 4 5
5 I speak positively about team members and do not criticize behind their backs 1 2 3 4 5
6 I can set my personal preferences aside and adjust my role or behavior when necessary 1 2 3 4 5
7 I can work with team members to solve problems and share responsibility. 1 2 3 4 5
Problem-solving When encountering a situation, I can clarify the problem and propose solutions through systematic
information collection and analysis.
1 I can systematically collect information related to the situation 1 2 3 4 5
2 I can evaluate and identify the problem based on the evidence 1 2 3 4 5
3 I can systematically clarify the problem 1 2 3 4 5
4 I can collect relevant information and opinions through various channels and propose possible solutions to the problem 1 2 3 4 5
5 I can assess the pros and cons of various solutions to find the best solution to a problem 1 2 3 4 5
6 I can prepare for possible problems in advance and gather the information needed to resolve them 1 2 3 4 5
Creativity Under resource constraints, I am not confined to the existing work patterns and am willing to take the initiative to
offer new suggestions or ideas and implement them in the work.
1 I can evaluate previous practices and propose ways to improve services, systems, and procedures effectively 1 2 3 4 5
2 I am willing to try new ways to achieve goals or solve problems 1 2 3 4 5
3 I can collect, analyze, and organize opinions and ideas from all parties and put forward new viewpoints or insights 1 2 3 4 5
4 I can propose novel and viable products or services 1 2 3 4 5
5 I can imagine and predict possible new trends and developments 1 2 3 4 5
6 I can maintain flexibility when working 1 2 3 4 5
Self-discipline I understand and take responsibility for the organization and comply with organizational and professional requirements
for ethics, institutions, and integrity.
1 I can identify the goals or values of the organization and act in the interests of the organization 1 2 3 4 5
2 I can actively complete the tasks and take responsibility for ensuring the quality of the outcomes 1 2 3 4 5
3 I realize and follow the organization’s disciplines, institutions, and work practices 1 2 3 4 5
4 I can take care to ensure personal safety at work and physical and mental health 1 2 3 4 5
5 I can look for ways to deal with stress and positively face the pressure 1 2 3 4 5
6 I understand and follow organizational ethics and keep reasonable interactions with coworkers from various departments 1 2 3 4 5
7 I act with integrity and understand the consequences of violating organizational and professional ethical and legal standards. I take responsibility and discipline in day-to-day work 1 2 3 4 5
Computer skills I can effectively manage, integrate, and deliver information using IT (Information Technology) tools.
1 I can judge the situations and effectively use IT tools to complete the tasks 1 2 3 4 5
2 I can retrieve information from the internet and effectively manage, store, and analyze the data 1 2 3 4 5
3 I can effectively use IT tools to produce digital content (such as text, photos, and images) and complete the tasks 1 2 3 4 5
4 I can employ appropriate IT tools to communicate with others according to different situations 1 2 3 4 5
5 I understand the copyright and licensing guidelines for using information/digital content 1 2 3 4 5
6 I understand the risks and threats in the digital environment and take appropriate measures to protect personal data and safety when using devices 1 2 3 4 5
7 I can solve problems or find solutions through the use of IT tools 1 2 3 4 5
8 I can integrate industry-related knowledge with IT tools and apply them to the tasks 1 2 3 4 5

References

Acemoglu, D., and D. Autor. 2011. “Skills, Tasks, and Technologies: Implications for Employment and Earnings.” Handbook of Labor Economics 4: 1043–171.10.1016/S0169-7218(11)02410-5Suche in Google Scholar

Adhvaryu, A., N. Kala, and A. Nyshadham. 2018. The Skills to Pay the Bills: Returns to On-The-Job Soft Skills Training (No. W24313). Cambridge, MA , USA: National Bureau of Economic Research.10.3386/w24313Suche in Google Scholar

Almlund, M., A. L. Duckworth, J. Heckman, and T. Kautz. 2011. “Personality Psychology and Economics.” Handbook of the Economics of Education 4: 1–181.10.1016/B978-0-444-53444-6.00001-8Suche in Google Scholar

Anderson, M. L. 2008. “Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects.” Journal of the American Statistical Association 103 (484): 1481–95. https://doi.org/10.1198/016214508000000841.Suche in Google Scholar

Autor, D. 2014. Polanyi’s Paradox and the Shape of Employment Growth (No. W20485). Cambridge, MA, USA: National Bureau of Economic Research.10.3386/w20485Suche in Google Scholar

Autor, D. H. 2015. “Why Are There Still So Many Jobs? the History and Future of Workplace Automation.” The Journal of Economic Perspectives 29 (3): 3–30. https://doi.org/10.1257/jep.29.3.3.Suche in Google Scholar

Autor, D. H., F. Levy, and R. J. Murnane. 2003. “The Skill Content of Recent Technological Change: An Empirical Exploration.” Quarterly Journal of Economics 118 (4): 1279–333. https://doi.org/10.1162/003355303322552801.Suche in Google Scholar

Autor, D. H., L. F. Katz, and M. S. Kearney. 2008. “Trends in US Wage Inequality: Revising the Revisionists.” The Review of Economics and Statistics 90 (2): 300–23. https://doi.org/10.1162/rest.90.2.300.Suche in Google Scholar

Babcock, P. 2010. “Real Costs of Nominal Grade Inflation? New Evidence from Student Course Evaluations.” Economic Inquiry 48: 983–96. https://doi.org/10.1111/j.1465-7295.2009.00245.x.Suche in Google Scholar

Barrick, M. R., M. K. Mount, and T. A. Judge. 2001. “Personality and Performance at the Beginning of the New Millennium: What Do We Know and where Do We Go Next?” International Journal of Selection and Assessment 9 (1–2): 9–30. https://doi.org/10.1111/1468-2389.00160.Suche in Google Scholar

Beaudry, P., D. A. Green, and B. M. Sand. 2016. “The Great Reversal in the Demand for Skill and Cognitive Tasks.” Journal of Labor Economics 34 (S1): S199–247. https://doi.org/10.1086/682347.Suche in Google Scholar

Bjorklund-Young, A. (2016). What Do We Know about Developing Students’ Non-cognitive Skills? Institute for Education and Policy. John Hopkins School of Education.Suche in Google Scholar

Brynjolfsson, E., and A. McAfee. 2014. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: WW Norton and Company.Suche in Google Scholar

Borghans, L., A. L. Duckworth, J. J. Heckman, and B. Ter Weel. 2008. “The Economics and Psychology of Personality Traits.” Journal of Human Resources 43 (4): 972–1059. https://doi.org/10.1353/jhr.2008.0017.Suche in Google Scholar

Borghans, L., B. Ter Weel, and B. A. Weinberg. 2014. “People Skills and the Labor-Market Outcomes of Underrepresented Groups.” ILR Review 67 (2): 287–334. https://doi.org/10.1177/001979391406700202.Suche in Google Scholar

Bound, J., and G. Johnson. 1995. “What are the Causes of Rising Wage Inequality in the United States?” Economic Policy Review 1 (1): 9–17.Suche in Google Scholar

Card, D., and T. Lemieux. 2001. “Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis.” Quarterly Journal of Economics 116 (2): 705–46. https://doi.org/10.1162/00335530151144140.Suche in Google Scholar

Chamorro-Premuzic, T., and A. Furnham. 2003. “Personality Traits and Academic Examination Performance.” European Journal of Personality 17 (3): 237–50. https://doi.org/10.1002/per.473.Suche in Google Scholar

Christensen, A. J., S. L. Ehlers, J. S. Wiebe, P. J. Moran, K. Raichle, K. Ferneyhough, and W. J. Lawton. 2002. “Patient Personality and Mortality: A 4-year Prospective Examination of Chronic Renal Insufficiency.” Health Psychology 21 (4): 315. https://doi.org/10.1037/0278-6133.21.4.315.Suche in Google Scholar

Cobb-Clark, D. A., and S. Schurer. 2012. “The Stability of Big-Five Personality Traits.” Economics Letters 115 (1): 11–5. https://doi.org/10.1016/j.econlet.2011.11.015.Suche in Google Scholar

Cobb-Clark, D. A., and S. Schurer. 2013. “Two Economists’ Musings on the Stability of Locus of Control.” The Economic Journal 123 (570): F358–400. https://doi.org/10.1111/ecoj.12069.Suche in Google Scholar

Conard, M. A. 2006. “Aptitude is Not Enough: How Personality and Behavior Predict Academic Performance.” Journal of Research in Personality 40 (3): 339–46.10.1016/j.jrp.2004.10.003Suche in Google Scholar

Costa, P. T., and R. R. McCrae. 1988. “Personality in Adulthood: A Six-Year Longitudinal Study of Self-Reports and Spouse Ratings on the NEO Personality Inventory.” Journal of Personality and Social Psychology 54 (5): 853. https://doi.org/10.1037/0022-3514.54.5.853.Suche in Google Scholar

Costa, P. T.Jr, and R. R. McCrae. 1994. “Set like Plaster? Evidence for the Stability of Adult Personality.” In Can Personality Change? edited by T. Heatherton and J. Weinberger, 21–40. Washington: Am. Psychol. Assoc.10.1037/10143-002Suche in Google Scholar

Cunha, F., and J. Heckman. 2007. “The Technology of Skill Formation.” The American Economic Review 97 (2): 31–47. https://doi.org/10.1257/aer.97.2.31.Suche in Google Scholar

Cunha, F., and J. J. Heckman. 2008. “Formulating, Identifying, and Estimating the Technology of Cognitive and Non-cognitive Skill Formation.” Journal of Human Resources 43 (4): 738–82. https://doi.org/10.1353/jhr.2008.0019.Suche in Google Scholar

Cunha, F., J. J. Heckman, and S. M. Schennach. 2010. “Estimating the Technology of Cognitive and Non-cognitive Skill Formation.” Econometrica 78 (3): 883–931. https://doi.org/10.3982/ECTA6551.Suche in Google Scholar

Damian, R. I., R. Su, M. Shanahan, U. Trautwein, and B. W. Roberts. 2015. “Can Personality Traits and Intelligence Compensate for Background Disadvantage? Predicting Status Attainment in Adulthood.” Journal of Personality and Social Psychology 109 (3): 473. https://doi.org/10.1037/pspp0000024.Suche in Google Scholar

Davidson, K. 2016. “Employers Find ‘soft Skills’ like Critical Thinking in Short Supply.” The Wall Street Journal 30 (3).Suche in Google Scholar

Deming, D. J. 2017. “The Growing Importance of Social Skills in the Labor Market.” Quarterly Journal of Economics 132 (4): 1593–640. https://doi.org/10.1093/qje/qjx022.Suche in Google Scholar

Deming, D., and L. B. Kahn. 2018. “Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals.” Journal of Labor Economics 36 (S1): S337–S369. https://doi.org/10.1086/694106.Suche in Google Scholar

Eckstein, Z., and K. I. Wolpin. 1999. “Why Youths Drop Out of High School: The Impact of Preferences, Opportunities, and Abilities.” Econometrica 67 (6): 1295–339. https://doi.org/10.1111/1468-0262.00081.Suche in Google Scholar

Fan, C. S., X. Wei, and J. Zhang. 2017. “Soft Skills, Hard Skills, and the Black/white Wage Gap.” Economic Inquiry 55 (2): 1032–53. https://doi.org/10.1111/ecin.12406.Suche in Google Scholar

Farsides, T., and R. Woodfield. 2003. “Individual Differences and Undergraduate Academic Success: The Roles of Personality, Intelligence, and Application.” Personality and Individual Differences 34 (7): 1225–43. https://doi.org/10.1016/s0191-8869(02)00111-3.Suche in Google Scholar

Fletcher, J. M. 2013. “The Effects of Personality Traits on Adult Labor Market Outcomes: Evidence from Siblings.” Journal of Economic Behavior & Organization 89: 122–35. https://doi.org/10.1016/j.jebo.2013.02.004.Suche in Google Scholar

Friedman, H. S., J. S. Tucker, C. Tomlinson-Keasey, J. E. Schwartz, D. L. Wingard, and M. H. Criqui. 1993. “Does Childhood Personality Predict Longevity?” Journal of Personality and Social Psychology 65 (1): 176. https://doi.org/10.1037/0022-3514.65.1.176.Suche in Google Scholar

Gensowski, M. 2018. “Personality, IQ, and Lifetime Earnings.” Labour Economics 51: 170–83. https://doi.org/10.1016/j.labeco.2017.12.004.Suche in Google Scholar

Gil-Hernández, C. J. 2021. “The (Unequal) Interplay between Cognitive and Non-cognitive Skills in Early Educational Attainment.” American Behavioral Scientist 65 (11): 1577–98. https://doi.org/10.1177/0002764221996764.Suche in Google Scholar

Glewwe, P., Y. Song, and X. Zou. 2022. “Labor Market Outcomes, Cognitive Skills, and Non-cognitive Skills in Rural China.” Journal of Economic Behavior & Organization 193: 294–311. https://doi.org/10.1016/j.jebo.2021.11.021.Suche in Google Scholar

Goldberg, L. R., D. Sweeney, P. F. Merenda, and J. E. HughesJr. 1998. “Demographic Variables and Personality: The Effects of Gender, Age, Education, and Ethnic/racial Status on Self-Descriptions of Personality Attributes.” Personality and Individual Differences 24 (3): 393–403. https://doi.org/10.1016/s0191-8869(97)00110-4.Suche in Google Scholar

Golsteyn, B. H., A. Non, and U. Zölitz. 2021. “The Impact of Peer Personality on Academic Achievement.” Journal of Political Economy 129 (4): 1052–99. https://doi.org/10.1086/712638.Suche in Google Scholar

Golsteyn, B. H., H. Grönqvist, and L. Lindahl. 2014. “Adolescent Time Preferences Predict Lifetime Outcomes.” The Economic Journal 124 (580): F739–F761. https://doi.org/10.1111/ecoj.12095.Suche in Google Scholar

Groves, M. O. 2005. “How Important Is Your Personality? Labor Market Returns to Personality for Women in the US and UK.” Journal of Economic Psychology 26 (6): 827–41. https://doi.org/10.1016/j.joep.2005.03.001.Suche in Google Scholar

He, X., H. Wang, F. Chang, S. E. Dill, H. Liu, B. Tang, and Y. Shi. 2021. “IQ, Grit, and Academic Achievement: Evidence from Rural China.” International Journal of Educational Development 80: 102306. https://doi.org/10.1016/j.ijedudev.2020.102306.Suche in Google Scholar

Heckman, J. J., and T. Kautz. 2012. “Hard Evidence on Soft Skills.” Labour Economics 19 (4): 451–64. https://doi.org/10.1016/j.labeco.2012.05.014.Suche in Google Scholar

Heckman, J. J., and Y. Rubinstein. 2001. “The Importance of Non-cognitive Skills: Lessons from the GED Testing Program.” The American Economic Review 91 (2): 145–9. https://doi.org/10.1257/aer.91.2.145.Suche in Google Scholar

Heckman, J. J., J. Stixrud, and S. Urzua. 2006. “The Effects of Cognitive and Non-cognitive Abilities on Labor Market Outcomes and Social Behavior.” Journal of Labor Economics 24 (3): 411–82. https://doi.org/10.1086/504455.Suche in Google Scholar

Heineck, G., and S. Anger. 2010. “The Returns to Cognitive Abilities and Personality Traits in Germany.” Labour Economics 17 (3): 535–46. https://doi.org/10.1016/j.labeco.2009.06.001.Suche in Google Scholar

Hoeschler, P., S. Balestra, and U. Backes-Gellner. 2018. “The Development of Non-cognitive Skills in Adolescence.” Economics Letters 163: 40–5. https://doi.org/10.1016/j.econlet.2017.11.012.Suche in Google Scholar

Hogan, J., and B. Holland. 2003. “Using Theory to Evaluate Personality and Job-Performance Relations: A Socioanalytic Perspective.” Journal of Applied Psychology 88 (1): 100. https://doi.org/10.1037/0021-9010.88.1.100.Suche in Google Scholar

Hotchkiss, J. L., and A. Rupasingha. 2018. “Wage Determination in Social Occupations: The Role of Individual Social Capital.” In Transitions Through the Labor Market: Work, Occupation, Earnings and Retirement, 127–81. Emerald Publishing Limited.10.1108/S0147-912120180000046005Suche in Google Scholar

Hoynes, H., D. W. Schanzenbach, and D. Almond. 2016. “Long-run Impacts of Childhood Access to the Safety Net.” The American Economic Review 106 (4): 903–34. https://doi.org/10.1257/aer.20130375.Suche in Google Scholar

Jang, K. L., W. J. Livesley, and P. A. Vemon. 1996. “Heritability of the Big Five Personality Dimensions and Their Facets: A Twin Study.” Journal of Personality 64 (3): 577–92. https://doi.org/10.1111/j.1467-6494.1996.tb00522.x.Suche in Google Scholar

Jokela, M., T. Pekkarinen, M. Sarvimäki, M. Terviö, and R. Uusitalo. 2017. “Secular Rise in Economically Valuable Personality Traits.” Proceedings of the National Academy of Sciences 114 (25): 6527–32. https://doi.org/10.1073/pnas.1609994114.Suche in Google Scholar

Judge, T. A., C. A. Higgins, C. J. Thoresen, and M. R. Barrick. 1999. “The Big Five Personality Traits, General Mental Ability, and Career Success across the Life Span.” Personnel Psychology 52 (3): 621–52. https://doi.org/10.1111/j.1744-6570.1999.tb00174.x.Suche in Google Scholar

Kassenboehmer, S. C., F. Leung, and S. Schurer. 2018. “University Education and Non-cognitive Skill Development.” Oxford Economic Papers 70 (2): 538–62. https://doi.org/10.1093/oep/gpy002.Suche in Google Scholar

Katz, L. F., and K. M. Murphy. 1992. “Changes in Relative Wages, 1963–1987: Supply and Demand Factors.” Quarterly Journal of Economics 107 (1): 35–78. https://doi.org/10.2307/2118323.Suche in Google Scholar

Komarraju, M., S. J. Karau, R. R. Schmeck, and A. Avdic. 2011. “The Big Five Personality Traits, Learning Styles, and Academic Achievement.” Personality and Individual Differences 51 (4): 472–7. https://doi.org/10.1016/j.paid.2011.04.019.Suche in Google Scholar

Kuhn, P., and C. Weinberger. 2005. “Leadership Skills and Wages.” Journal of Labor Economics 23 (3): 395–436. https://doi.org/10.1086/430282.Suche in Google Scholar

Lavin, D. E. 1965. The Prediction of Academic Performance. New York: Russel Sage Foundation.Suche in Google Scholar

Levy, F., and R. J. Murnane. 2005. The New Division of Labor: How Computers Are Creating the Next Job Market. Princeton, New Jersy: Princeton University Press.10.1515/9781400845927Suche in Google Scholar

Light, A., and P. Nencka. 2019. “Predicting Educational Attainment: Does Grit Compensate for Low Levels of Cognitive Ability?” Learning and Individual Differences 70: 142–54. https://doi.org/10.1016/j.lindif.2019.02.002.Suche in Google Scholar

Lindqvist, E., and R. Vestman. 2011. “The Labor Market Returns to Cognitive and Non-cognitive Ability: Evidence from the Swedish Enlistment.” American Economic Journal: Applied Economics 3 (1): 101–28. https://doi.org/10.1257/app.3.1.101.Suche in Google Scholar

Lucas, R. E., and M. B. Donnellan. 2011. “Personality Development across the Life Span: Longitudinal Analyses with a National Sample from Germany.” Journal of Personality and Social Psychology 101 (4): 847. https://doi.org/10.1037/a0024298.Suche in Google Scholar

Maczulskij, T., and J. Viinikainen. 2018. “Is Personality Related to Permanent Earnings? Evidence Using a Twin Design.” Journal of Economic Psychology 64: 116–29. https://doi.org/10.1016/j.joep.2018.01.001.Suche in Google Scholar

Mellanby, J., M. Martin, and J. O’Doherty. 2000. “The ‘Gender Gap’ in Final Examination Results at Oxford University.” British Journal of Psychology 91 (3): 377–90. https://doi.org/10.1348/000712600161880.Suche in Google Scholar

Noftle, E. E., and R. W. Robins. 2007. “Personality Predictors of Academic Outcomes: Big Five Correlates of GPA and SAT Scores.” Journal of Personality and Social Psychology 93 (1): 116. https://doi.org/10.1037/0022-3514.93.1.116.Suche in Google Scholar

Nyhus, E. K., and E. Pons. 2005. “The Effects of Personality on Earnings.” Journal of Economic Psychology 26 (3): 363–84. https://doi.org/10.1016/j.joep.2004.07.001.Suche in Google Scholar

Oreopoulos, P. 2007. “Do Dropouts Drop Out Too Soon? Wealth, Health, and Happiness from Compulsory Schooling.” Journal of Public Economics 91 (11–12): 2213–29. https://doi.org/10.1016/j.jpubeco.2007.02.002.Suche in Google Scholar

Piatek, R., and P. Pinger. 2016. “Maintaining (Locus of) Control? Data Combination for the Identification and Inference of Factor Structure Models.” Journal of Applied Econometrics 31 (4): 734–55. https://doi.org/10.1002/jae.2456.Suche in Google Scholar

Pressman, S. D., and S. Cohen. 2005. “Does Positive Affect Influence Health?” Psychological Bulletin 131 (6): 925. https://doi.org/10.1037/0033-2909.131.6.925.Suche in Google Scholar

Raver, C. C., P. W. Garner, and R. Smith-Donald. 2007. “The Roles of Emotion Regulation and Emotion Knowledge for Children’s Academic Readiness: Are the Links Causal?” In School Readiness and the Transition to Kindergarten in the Era of Accountability, edited by R. C. Pianta, M. J. Cox, and K. L. Snow. Paul H. Brookes Publishing Co.Suche in Google Scholar

Rimfeld, K., Y. Kovas, P. S. Dale, and R. Plomin. 2016. “True Grit and Genetics: Predicting Academic Achievement from Personality.” Journal of Personality and Social Psychology 111 (5): 780. https://doi.org/10.1037/pspp0000089.Suche in Google Scholar

Roberts, B. W., and T. Bogg. 2004. “A 30-year Longitudinal Study of the Relationships between Conscientiousness-Related Traits and the Family Structure and Health-Behavior Factors that Affect Health.” Journal of Personality 72: 325–54. https://doi.org/10.1111/j.0022-3506.2004.00264.x.Suche in Google Scholar

Schurer, S. 2017. Does Education Strengthen the Life Skills of Adolescents? Bonn, Germany: IZA World of Labor.10.15185/izawol.366Suche in Google Scholar

Shanahan, M. J., S. Bauldry, B. W. Roberts, R. Macmillan, and R. Russo. 2014. “Personality and the Reproduction of Social Class.” Social Forces 93 (1): 209–40. https://doi.org/10.1093/sf/sou050.Suche in Google Scholar

Skolnick, A. 1981. “Married Lives: Longitudinal Perspectives on Marriage.” In Present and Past in Middle Life, edited by D. H. Erchorin, J. A. Clausen, N. Haan, M. P. Honzik, and P. H. Mussen. Academic Press.10.1016/B978-0-12-233680-5.50017-4Suche in Google Scholar

Specht, J., B. Egloff, and S. C. Schmukle. 2011. “Stability and Change of Personality across the Life Course: The Impact of Age and Major Life Events on Mean-Level and Rank-Order Stability of the Big Five.” Journal of Personality and Social Psychology 101 (4): 862. https://doi.org/10.1037/a0024950.Suche in Google Scholar

Srivastava, S., O. P. John, S. D. Gosling, and J. Potter. 2003. “Development of Personality in Early and Middle Adulthood: Set like Plaster or Persistent Change?” Journal of Personality and Social Psychology 84 (5): 1041. https://doi.org/10.1037/0022-3514.84.5.1041.Suche in Google Scholar

Uysal, S. D., and W. Pohlmeier. 2011. “Unemployment Duration and Personality.” Journal of Economic Psychology 32 (6): 980–92. https://doi.org/10.1016/j.joep.2011.03.008.Suche in Google Scholar

Van Eijck, K., and P. M. De Graaf. 2004. “The Big Five at School: The Impact of Personality on Educational Attainments.” Netherlands Journal of Social Sciences 41 (1): 24–42.Suche in Google Scholar

Weinberger, C. J. 2014. “The Increasing Complementarity between Cognitive and Social Skills.” The Review of Economics and Statistics 96 (5): 849–61. https://doi.org/10.1162/rest_a_00449.Suche in Google Scholar

Winne, P. H. 2013. Self-regulated Learning Viewed from Models of Information Processing, 145–78. Routledge, London, UK: Self-regulated learning and academic achievement.Suche in Google Scholar

Wolters, C. A., and M. Hussain. 2015. “Investigating Grit and its Relations with College Students’ Self-Regulated Learning and Academic Achievement.” Metacognition and Learning 10: 293–311. https://doi.org/10.1007/s11409-014-9128-9.Suche in Google Scholar

Zimmerman, B. J. 1990. “Self-regulated Learning and Academic Achievement: An Overview.” Educational Psychologist 25 (1): 3–17. https://doi.org/10.1207/s15326985ep2501_2.Suche in Google Scholar


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/bejeap-2022-0342).


Received: 2022-09-11
Accepted: 2023-08-30
Published Online: 2023-10-24

© 2023 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 7.11.2025 von https://www.degruyterbrill.com/document/doi/10.1515/bejeap-2022-0342/html
Button zum nach oben scrollen