Aptitude and Personality Traits in Retention of Engineering Students

Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that influence retention must be assessed. Purpose This study investigated the relationships of aptitude and personality traits in predicting ret...

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Published inJournal of engineering education (Washington, D.C.) Vol. 104; no. 2; pp. 167 - 188
Main Authors Hall, Cathy W., Kauffmann, Paul J., Wuensch, Karl L., Swart, William E., DeUrquidi, Karen A., Griffin, O. Hayden, Duncan, C. Steve
Format Journal Article
LanguageEnglish
Published Washington Blackwell Publishing Ltd 01.04.2015
Wiley Periodicals, Inc
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Abstract Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that influence retention must be assessed. Purpose This study investigated the relationships of aptitude and personality traits in predicting retention for persisting students, those leaving in good standing, and those leaving in poor standing. Design/Method Participants were entering first‐year students from 2007 to 2010. Aptitude was assessed by the Assessment and LEarning in Knowledge Spaces (ALEKS) placement test as a measure of calculus readiness, Scholastic Aptitude Tests (math and verbal), and high school grade point average (GPA). Personality traits were assessed by the NEO Five‐Factor Inventory and a measure of locus of control. A multinomial logistic regression was performed with students who persisted as the reference group. Results Significant aptitude predictors for retention were high school GPA, SAT math, and ALEKS scores. Conscientiousness was the only significant personality factor. Conclusion Math skills, especially calculus readiness, were strong predictors of retention. High school academic performance and Conscientiousness were also significant predictors. Application of these findings includes helping students with deficiencies, especially in calculus readiness, as well as fostering an environment that encourages conscientious academic behaviors.
AbstractList Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that influence retention must be assessed. Purpose This study investigated the relationships of aptitude and personality traits in predicting retention for persisting students, those leaving in good standing, and those leaving in poor standing. Design/Method Participants were entering first-year students from 2007 to 2010. Aptitude was assessed by the Assessment and LEarning in Knowledge Spaces (ALEKS) placement test as a measure of calculus readiness, Scholastic Aptitude Tests (math and verbal), and high school grade point average (GPA). Personality traits were assessed by the NEO Five-Factor Inventory and a measure of locus of control. A multinomial logistic regression was performed with students who persisted as the reference group. Results Significant aptitude predictors for retention were high school GPA, SAT math, and ALEKS scores. Conscientiousness was the only significant personality factor. Conclusion Math skills, especially calculus readiness, were strong predictors of retention. High school academic performance and Conscientiousness were also significant predictors. Application of these findings includes helping students with deficiencies, especially in calculus readiness, as well as fostering an environment that encourages conscientious academic behaviors.
Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that influence retention must be assessed. Purpose This study investigated the relationships of aptitude and personality traits in predicting retention for persisting students, those leaving in good standing, and those leaving in poor standing. Design/Method Participants were entering first‐year students from 2007 to 2010. Aptitude was assessed by the Assessment and LEarning in Knowledge Spaces (ALEKS) placement test as a measure of calculus readiness, Scholastic Aptitude Tests (math and verbal), and high school grade point average (GPA). Personality traits were assessed by the NEO Five‐Factor Inventory and a measure of locus of control. A multinomial logistic regression was performed with students who persisted as the reference group. Results Significant aptitude predictors for retention were high school GPA, SAT math, and ALEKS scores. Conscientiousness was the only significant personality factor. Conclusion Math skills, especially calculus readiness, were strong predictors of retention. High school academic performance and Conscientiousness were also significant predictors. Application of these findings includes helping students with deficiencies, especially in calculus readiness, as well as fostering an environment that encourages conscientious academic behaviors.
Audience Higher Education
Postsecondary Education
Author Hall, Cathy W.
Duncan, C. Steve
DeUrquidi, Karen A.
Griffin, O. Hayden
Wuensch, Karl L.
Kauffmann, Paul J.
Swart, William E.
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References Smillie, L. D., Yeo, G. B., Furnham, A. F., & Jackson, C. J. (2006). Benefits of all work and no play: The relationship between neuroticism and performance as a function of resource allocation. Journal of Applied Psychology, 91, 139−155. doi: 10.1037/0021-9010.91.1.139
Tracey, T. J. G., & Robbins, S. B. (2006). The interest-major congruence and college success relation: A longitudinal study. Journal of Vocational Behavior, 69, 64−89. doi: 10.1016/j.jvb.2005.11.003
Costa, P., & McCrae, R. (1989). NEO PI/FFI manual supplement for use with the NEO Personality Inventory and the NEO Five-Factor Inventory. Odessa, FL: Psychological Assessment Resources.
McAbee, S. T., & Oswald, F. L. (2013). The criterion-related validity of personality measures for predicting GPA: A meta-analytic validity competition. Psychological Assessment, 25, 532−544. doi: 10.1037/a0031748
Moses, L., Hall, C., Wuensch, K., DeUrquidi, K., Kauffmann, P., Swart, W., . . . Dixon, G. (2011). Are math readiness and personality predictive of first-year retention in engineering? Journal of Psychology, 145, 229−245.
O'Connor, M. C., & Paunonen, S. V. (2007). Big Five personality predictors of post-secondary academic performance. Personality and Individual Differences, 43, 971−990. doi: 10.1016/j.paid.2007.03.017
Seymour, E. (2002). Tracking the process of change on US undergraduate education in science, mathematics, engineering, and technology. Science Education, 86, 79−105. doi: 10.1002/sce.1044
McAdams, D. P., & Pals, J. L. (2006). A new Big Five: Fundamental principles for an integrative science of personality. American Psychologist, 61, 204−217. doi: 10.1037/0003-066X.61.3.204
Veenstra, C. P., Dey, E. L., & Herrin, G. D. (2009, Winter). A model for freshman engineering retention. Advances in Engineering Education, 4, 1−33. Retrieved from http://advances.asee.org/wp-content/uploads/vol01/issue03/papers/aee-vol01-issue03-p07.pdf
Bernold, L., Spurlin J., & Anson C. (2007). Understanding our students: A longitudinal-study of success and failure in engineering with implications for increased retention. Journal of Engineering Education, 96, 263−274. doi: 10.1002/j.2168-9830.2007.tb00935
van Doorn, R. R., & Lang, J. W. B. (2010). Performance differences explained by the neuroticism facets withdrawal and volatility, variations in task demand, and effort allocation. Journal of Research in Personality, 44, 446−452. doi: 10.1016/j.jrp.2010.05.004
Ackerman, P. O., Chamorro-Premuzic, T., & Furnham, A. (2011). Trait complexes and academic achievement: Old and new ways of examining personality in educational contexts. British Journal of Educational Psychology, 81, 27−40. doi: 10.1348/000709910X522564
McCrae, R., Costa, P., & Busch, C. (1986). Evaluating comprehensiveness in personality systems: The California Q-Set and the five-factor model. Journal of Personality, 54, 430−446. doi: 10.1111/j.1467-6494.1986.tb00403
Tsui, L. (2007). Effective strategies to increase diversity in STEM fields: A review of the research literature. Journal of Negro Education, 76, 555−581.
Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138, 353−387. doi: 10.1037/a0026838
Wagerman, S. A., & Funder, D. C. (2007). Acquaintance reports of personality and academic achievement: A case for conscientiousness. Journal of Research in Personality, 41, 221−229. doi: 10.1016/j.jrp.2006.03.001
Robinson, M. (2003). Student enrollment in high school AP sciences and calculus: How does it correlate with STEM careers? Bulletin of Science, Technology & Society, 23, 265−273. doi:10.1177/0270467603256090
Falmagne, J. C., Koppen, M., Villano, M., Doignon, J. P., & Johannesen, L. (1990). Introduction to knowledge spaces: How to build, test, and search them. Psychological Review, 97, 201−224. doi: 10.1037/0033-295X.97.2.201
Komarraju, M., Karau, S. J., Schmeck, R. R., & Avdic, A. (2011). The Big Five personality traits, learning styles, and academic achievement. Personality and Individual Differences, 51, 472−477. doi: 10.1016/j.paid.2011.04.019
Corker, K. S., Oswald, F. L., & Donnellan, M. B. (2012). Conscientiousness in the classroom: A process explanation. Journal of Personality, 80, 995−1027. doi: 10.1111/j.1467-6494.2011.00750
Astin, A. W. (1993). What matters in college? Four critical years revisited. San Francisco, CA: Jossey-Bass.
House, J. D. (2000). Academic background and self-beliefs as predictors of student grade performance in science, engineering, and mathematics. International Journal of Instructional Media, 27, 207−220.
Hebb, D. O. (1955). Drives and the C.N.S. (conceptual nervous system). Psychological Review, 62, 243−254. doi: 10.1037/h0041823
Marra, R., Rodgers, K., Shen, D., & Bogue, B. (2012). Leaving engineering: A multi-year single institution study. Journal of Engineering Education, 101, 6−27. doi: 10.1002/j.2168-9830.2012.tb00039
Beckmann, N., Wood, R. E., & Minbashian, A. (2010). It depends how you look at it: On the relationship between neuroticism and conscientiousness at the within- and the between-person levels of analysis. Journal of Research in Personality, 44, 593−601. doi: 10.1016/j.jrp.2010.07.004
Noftle, E. E., & Robins, R. W. (2007). Personality predictors of academic outcomes: Big Five correlates of GPA and SAT scores. Journal of Personality and Social Psychology, 93, 116−130. doi: 10.1037/0022-3514.93.1.116
Chamorro-Premuzic, T., & Furnham, A. (2008). Personality, intelligence and approaches to learning as predictors of academic performance. Personality and Individual Differences, 44, 1596−1603. doi: 10.1016/j.paid.2008.01.003
DeYoung, C. G., Quilty, L. C., & Peterson, J. B. (2007). Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 93, 880−896. doi: 10.1037/0022-3514.93.5.880
Vianello, M., Robusto, E., & Anselmi, P. (2010). Implicit conscientiousness predicts academic performance. Personality and Individual Differences, 48, 452−457. doi: 10.1016/j.paid.2009.11.019
Falmagne, J. C., & Doignon, J. P. (1988b). A markovian procedure for assessing the state of a system. Journal of Mathematical Psychology, 32, 232−258. Retrieved from http://ac.els-cdn.com/0022249688900119/1-s2.0-0022249688900119-main.pdf?_tid=01c3cf70-5e20-11e4-9031-00000aab0f02&acdnat=1414445409_6a93027e4d004cb4b8bf87de9a83c656
Steele-Johnson, D., & Leas, K. (2013). Importance of race, gender, and personality in predicting academic performance. Journal of Applied Social Psychology, 43, 1736−1744. doi: 10.1111/jasp.12129
Weinstein, C. E., Schulte, A. C., & Palmer, D. R. (n.d.). LASSI (Learning and Study Skills Inventory). Clearwater, FL: H & H Publishing.
McCarthy, B. (2000). About teaching 4MAT in the classroom. Wuaconda, IL: About Learning Inc.
Ohland, M. W., Frillaman, S. A., Zhang, G., Brawner, C. E., & Miller, T. K. (2004). The effect of an entrepreneurship program on GPA and retention. Journal of Engineering Education, 93, 293−301. doi: 10.1002/j.2168-9830.2004.tb00818
Frey, M., & Detterman, D. (2004). Scholastic assessment or g? The relationship between the Scholastic Assessment Test and general cognitive ability. Psychological Science, 15, 373−378. doi: 10.1111/j.0956-7976.2004.00687
Nowicki, S., & Duke, M. (1989). Nowicki-Duke Internal-External Locus of Control Scale. Available from Dr. Stephen Nowicki, Psychology Department, Emory University, Atlanta, GA 30322.
Kanoy, K. W., Wester, J. L., & Latta, M. (1989). Predicting college success of freshmen using traditional, cognitive, and psychological measures. Journal of Research and Development in Education, 22, 65−70.
Besterfield-Sacre, M., Atman, C., & Shuman, L. (1997). Characteristics of freshman engineering students: Models for determining student attrition in engineering. Journal of Engineering Education, 86, 139−149. doi: 10.1002/j.2168-9830.1997.tb00277
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Poropat, A. E. (2009). A meta-analysis of the five-factor model of personality and academic performance. Psychological Bulletin, 135, 322−338. doi: 10.1037/a0014996
Sax, L. J. (2008). The gender gap in college: Maximizing the developmental potential of women and men. San Francisco, CA: Jossey-Bass.
Zhang, G., Anderson, T. J., Ohland, M. W., & Thorndyke, B. R. (2004). Identifying factors influencing engineering student graduation: A longitudinal and cross-institutional study. Journal of Engineering Education, 93, 313-320. doi: 10.1002/j.2168-9830.2004.tb00820
French, B., Immekus, J., & Oakes, W. (2005). An examination of indicators of engineering students' success and persistence. Journal of Engineering Education, 94, 419−422. doi: 10.1002/j.2168-9830.2005.tb00869
Lackey, L., Lackey, W., Grady, H., & Davis, M. (2003). Efficacy of using a single, non-technical variable to predict the academic success of freshmen engineering students. Journal of Engineering Education, 92, 41−48. doi: 10.1002/j.2168-9830.2003.tb00736
Ohland, M. W., Sheppard, S. D., Lichtenstein, G., Eris, O., Chachra, D., & Layton, R. (2008). Persistence, engagement, and migration in engineering programs. Journal of Engineering Education, 97, 259−278. doi: 10.1002/j.2168-9830.2008.tb00978
Cupani, M., & Pautassi, R. M. (2013). Predictive contribution of personality traits in a sociocognitive model of academic performance in mathematics. Journal of Career Assessment, 21, 395−413. doi: 10.1177/1069072712475177
Takahira, S., Goodings, D., & Byrnes, B. (1998). Retention and performance of male and female engineering students: An examination of academic and environmental variables. Journal of Engineering Education, 88, 297−304. doi: 10.1002/j.2168-9830.1998.tb00357
Seymour, E., & Hewitt, N. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.
Yerkes, R. M., & Dodson, J. D. (1908). The relation of strength of stimulus to rapidity of habit-formation. Journa
1990; 97
2013; 25
2013; 21
1997; 86
1999; 88
2007; 76
1998; 88
1988a; 41
2006; 61
2003; 92
1990
2001
2013; 54
2000
2002; 86
1908; 18
2006; 69
1988b; 32
2012; 138
1989
1992; 4
1988
2001; 54
2012; 80
2006; 91
1989; 22
2000; 27
2012; 101
2013; 43
1986; 54
2011; 81
2008
1997
2003; 37
2009; 135
2007; 93
1993
2007; 96
2008; 97
1955; 62
2010; 44
2010; 48
2004; 93
2004; 15
2011; 51
2008; 44
2014
2005; 94
2013
2009; 4
2007; 41
2007; 43
2011; 145
2003; 23
References_xml – volume: 48
  start-page: 452
  year: 2010
  end-page: 457
  article-title: Implicit conscientiousness predicts academic performance
  publication-title: Personality and Individual Differences
– volume: 44
  start-page: 593
  year: 2010
  end-page: 601
  article-title: It depends how you look at it: On the relationship between neuroticism and conscientiousness at the within‐ and the between‐person levels of analysis
  publication-title: Journal of Research in Personality
– volume: 23
  start-page: 265
  year: 2003
  end-page: 273
  article-title: Student enrollment in high school AP sciences and calculus: How does it correlate with STEM careers?
  publication-title: Bulletin of Science, Technology & Society
– volume: 27
  start-page: 207
  year: 2000
  end-page: 220
  article-title: Academic background and self‐beliefs as predictors of student grade performance in science, engineering, and mathematics
  publication-title: International Journal of Instructional Media
– volume: 21
  start-page: 395
  year: 2013
  end-page: 413
  article-title: Predictive contribution of personality traits in a sociocognitive model of academic performance in mathematics
  publication-title: Journal of Career Assessment
– volume: 92
  start-page: 41
  year: 2003
  end-page: 48
  article-title: Efficacy of using a single, non‐technical variable to predict the academic success of freshmen engineering students
  publication-title: Journal of Engineering Education
– volume: 96
  start-page: 263
  year: 2007
  end-page: 274
  article-title: Understanding our students: A longitudinal‐study of success and failure in engineering with implications for increased retention
  publication-title: Journal of Engineering Education
– year: 2001
– year: 1989
– volume: 61
  start-page: 204
  year: 2006
  end-page: 217
  article-title: A new Big Five: Fundamental principles for an integrative science of personality
  publication-title: American Psychologist
– volume: 97
  start-page: 259
  year: 2008
  end-page: 278
  article-title: Persistence, engagement, and migration in engineering programs
  publication-title: Journal of Engineering Education
– volume: 62
  start-page: 243
  year: 1955
  end-page: 254
  article-title: Drives and the C.N.S. (conceptual nervous system)
  publication-title: Psychological Review
– volume: 93
  start-page: 116
  year: 2007
  end-page: 130
  article-title: Personality predictors of academic outcomes: Big Five correlates of GPA and SAT scores
  publication-title: Journal of Personality and Social Psychology
– volume: 69
  start-page: 64
  year: 2006
  end-page: 89
  article-title: The interest‐major congruence and college success relation: A longitudinal study
  publication-title: Journal of Vocational Behavior
– year: 2014
– volume: 101
  start-page: 6
  year: 2012
  end-page: 27
  article-title: Leaving engineering: A multi‐year single institution study
  publication-title: Journal of Engineering Education
– volume: 37
  start-page: 319
  year: 2003
  end-page: 338
  article-title: Personality predicts academic performance: Evidence from two longitudinal university samples
  publication-title: Journal of Research in Personality
– volume: 135
  start-page: 322
  year: 2009
  end-page: 338
  article-title: A meta‐analysis of the five‐factor model of personality and academic performance
  publication-title: Psychological Bulletin
– volume: 138
  start-page: 353
  year: 2012
  end-page: 387
  article-title: Psychological correlates of university students' academic performance: A systematic review and meta‐analysis
  publication-title: Psychological Bulletin
– volume: 25
  start-page: 532
  year: 2013
  end-page: 544
  article-title: The criterion‐related validity of personality measures for predicting GPA: A meta‐analytic validity competition
  publication-title: Psychological Assessment
– year: 2008
– year: 1997
– volume: 81
  start-page: 27
  year: 2011
  end-page: 40
  article-title: Trait complexes and academic achievement: Old and new ways of examining personality in educational contexts
  publication-title: British Journal of Educational Psychology
– volume: 44
  start-page: 1596
  year: 2008
  end-page: 1603
  article-title: Personality, intelligence and approaches to learning as predictors of academic performance
  publication-title: Personality and Individual Differences
– volume: 4
  start-page: 5
  year: 1992
  end-page: 13
  article-title: Normal personality assessment in clinical practice: The NEO Personality Inventory
  publication-title: Psychological Assessment
– volume: 97
  start-page: 201−224
  year: 1990
  article-title: Introduction to knowledge spaces: How to build, test, and search them
  publication-title: Psychological Review
– volume: 41
  start-page: 221
  year: 2007
  end-page: 229
  article-title: Acquaintance reports of personality and academic achievement: A case for conscientiousness
  publication-title: Journal of Research in Personality
– year: 1993
– start-page: 1−42
  year: 2000
– volume: 93
  start-page: 880
  year: 2007
  end-page: 896
  article-title: Between facets and domains: 10 aspects of the Big Five
  publication-title: Journal of Personality and Social Psychology
– volume: 44
  start-page: 142
  year: 2010
  end-page: 145
  article-title: Using multiple and specific criteria to assess the predictive validity of the Big Five personality factors on academic performance
  publication-title: Journal of Research in Personality
– volume: 44
  start-page: 446
  year: 2010
  end-page: 452
  article-title: Performance differences explained by the neuroticism facets withdrawal and volatility, variations in task demand, and effort allocation
  publication-title: Journal of Research in Personality
– volume: 18
  start-page: 459
  year: 1908
  end-page: 482
  article-title: The relation of strength of stimulus to rapidity of habit‐formation
  publication-title: Journal of Comparative Neurology and Psychology
– volume: 86
  start-page: 139
  year: 1997
  end-page: 149
  article-title: Characteristics of freshman engineering students: Models for determining student attrition in engineering
  publication-title: Journal of Engineering Education
– year: 2000
– volume: 54
  start-page: 430
  year: 1986
  end-page: 446
  article-title: Evaluating comprehensiveness in personality systems: The California Q‐Set and the five‐factor model
  publication-title: Journal of Personality
– start-page: 53−92
  year: 1990
– volume: 80
  start-page: 995−1027
  year: 2012
  article-title: Conscientiousness in the classroom: A process explanation
  publication-title: Journal of Personality
– volume: 76
  start-page: 555
  year: 2007
  end-page: 581
  article-title: Effective strategies to increase diversity in STEM fields: A review of the research literature
  publication-title: Journal of Negro Education
– volume: 15
  start-page: 373
  year: 2004
  end-page: 378
  article-title: Scholastic assessment or ? The relationship between the Scholastic Assessment Test and general cognitive ability
  publication-title: Psychological Science
– volume: 22
  start-page: 65−70
  year: 1989
  article-title: Predicting college success of freshmen using traditional, cognitive, and psychological measures
  publication-title: Journal of Research and Development in Education
– volume: 51
  start-page: 472
  year: 2011
  end-page: 477
  article-title: The Big Five personality traits, learning styles, and academic achievement
  publication-title: Personality and Individual Differences
– volume: 93
  start-page: 313
  year: 2004
  end-page: 320
  article-title: Identifying factors influencing engineering student graduation: A longitudinal and cross‐institutional study
  publication-title: Journal of Engineering Education
– volume: 54
  start-page: 774
  year: 2001
  end-page: 781
  article-title: Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis
  publication-title: Journal of Clinical Epidemiology
– volume: 43
  start-page: 971
  year: 2007
  end-page: 990
  article-title: Big Five personality predictors of post‐secondary academic performance
  publication-title: Personality and Individual Differences
– volume: 4
  start-page: 1
  year: 2009
  end-page: 33
  article-title: A model for freshman engineering retention
  publication-title: Advances in Engineering Education
– volume: 94
  start-page: 335
  year: 2005
  end-page: 338
  article-title: The use of discriminant analysis to investigate the influence of non‐cognitive factors on engineering school persistence
  publication-title: Journal of Engineering Education
– volume: 32
  start-page: 232
  year: 1988b
  end-page: 258
  article-title: A markovian procedure for assessing the state of a system
  publication-title: Journal of Mathematical Psychology
– volume: 93
  start-page: 293
  year: 2004
  end-page: 301
  article-title: The effect of an entrepreneurship program on GPA and retention
  publication-title: Journal of Engineering Education
– volume: 43
  start-page: 1736
  year: 2013
  end-page: 1744
  article-title: Importance of race, gender, and personality in predicting academic performance
  publication-title: Journal of Applied Social Psychology
– year: 1988
– volume: 88
  start-page: 297
  year: 1998
  end-page: 304
  article-title: Retention and performance of male and female engineering students: An examination of academic and environmental variables
  publication-title: Journal of Engineering Education
– volume: 145
  start-page: 229
  year: 2011
  end-page: 245
  article-title: Are math readiness and personality predictive of first‐year retention in engineering?
  publication-title: Journal of Psychology
– volume: 54
  start-page: 447
  year: 2013
  end-page: 452
  article-title: In the heat of the moment: On the effect of state neuroticism on task performance
  publication-title: Personality and Individual Differences
– volume: 88
  start-page: 265
  year: 1999
  end-page: 267
  article-title: Predicting success in a minority engineering program
  publication-title: Journal of Engineering Education
– volume: 91
  start-page: 139
  year: 2006
  end-page: 155
  article-title: Benefits of all work and no play: The relationship between neuroticism and performance as a function of resource allocation
  publication-title: Journal of Applied Psychology
– volume: 86
  start-page: 79
  year: 2002
  end-page: 105
  article-title: Tracking the process of change on US undergraduate education in science, mathematics, engineering, and technology
  publication-title: Science Education
– volume: 41
  start-page: 1
  year: 1988a
  end-page: 23
  article-title: A class of stochastic procedures for the assessment of knowledge
  publication-title: British Journal of Mathematical and Statistical Psychology
– volume: 94
  start-page: 419
  year: 2005
  end-page: 422
  article-title: An examination of indicators of engineering students' success and persistence
  publication-title: Journal of Engineering Education
– year: 2013
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Snippet Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that...
Background: Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors...
Background Engineering programs have high attrition rates, and once in college, students are unlikely to migrate to engineering from other majors. Factors that...
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SubjectTerms Academic achievement
Academic Aptitude
Academic Persistence
Aptitude Tests
Calculus
College Entrance Examinations
College Students
Engineering
Engineering Education
Grade Point Average
High Schools
Locus of Control
math readiness
Mathematics Skills
Personality Measures
Personality Traits
personality traits in retention
Predictor Variables
Readiness
retention in engineering
School Holding Power
Scores
Student retention
Title Aptitude and Personality Traits in Retention of Engineering Students
URI https://api.istex.fr/ark:/67375/WNG-ZHP0FBJD-M/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjee.20072
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ1255453
https://www.proquest.com/docview/1674904150
Volume 104
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