Sources of self-efficacy of community college students enrolled in developmental mathematics

Journal of Further and Higher Education

Volumn 43, Issue 2, 2019, Pages 183-200

  Zientek, Linda Reichwein ^a   Fong, Carlton J ^b   Phelps, Julie M ^c  

^a SAM HOUSTON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c Valencia College   (United States)

Author keywords

mastery experiences; Mathematics; self efficacy

Indexed keywords

EID: 85028543949     PISSN: 0309877X     EISSN: 14699486     Source Type: Journal    
DOI: 10.1080/0309877X.2017.1357071     Document Type: Article

References (68)

1. Attewell, P. A., D. E., Lavin, T., Domina, and T., Levey. 2006. “New Evidence on College Remediation.” The Journal of Higher Education 77: 886–942. doi:10.1353/jhe.2006.0037
2. Bahr, P. R., 2008. “Does Mathematics Remediation Work? A Comparative Analysis of Academic Attainment Among Community College Students.” Research in Higher Education 49: 420–450. doi:10.1007/s11162-008-9089-4
3. Bailey, T., D. W., Jeong, and S. W., Cho. 2010. “Referral, Enrollment, and Completion in Developmental Education Sequences in Community Colleges.” Economics of Education Review 29: 255–270.10.1016/j.econedurev.2009.09.002
4. Bandura, A., 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall
5. Bandura, A., 1997. Self-Efficacy: The Exercise of Control. New York, NY: Freeman
6. Bentler, P. M., 2005. EQS 6 Structural Equations Program Manual. Encino, CA: Multivariate Software
7. Bonham, B. S., and H. R., Boylan. 2011. “Developmental Mathematics: Challenges, Promising, Practices, and Recent Initiatives.” Journal of Developmental Education 34 (3): 2–10
8. Bonham, B. S., and H. R., Boylan. 2012. “Developmental Mathematics: Challenges, Promising Practices, and Recent Initiatives.” Journal of Developmental Education 36 (2): 14–21
9. Bray, J. H., and S. E., Maxwell. 1985. Multivariate Analysis of Variance. Newbury Park, CA: SAGE.10.4135/9781412985222
10. Breso, E., W. B., Schaufeli, and M., Salanova. 2011. “Can a Self-Efficacy-Based Intervention Decrease Burnout, Increase Engagement and Enhance Performance? A Quasi-Experimental Study.” Higher Education 61: 339–355. doi:10.1007/s10734-010-9334-6
11. Chen, X., and S., Simone. 2016, September. Remedial Coursetaking at U.S. Public 2- and 4-Year Institutions: Scope, Experiences, and Outcomes (NCES 2016-405). Washington, DC: National Center for Education Statistics
12. Cohen, J., 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum
13. Community College Survey of Student Engagement. 2008. High Expectations and High Support. Austin: The University of Texas at Austin
14. van Dinther, M., F., Dochy, and M., Segers. 2011. “Factors Affecting Students’ Self-Efficacy in Higher Education.” Educational Research Review 6: 95–108.10.1016/j.edurev.2010.10.003
15. Fong, C. J., and R., Asera. 2010. Psychosocial Theories to Inform a New Generation of Student Support Structures for Learning Mathematics. Problem Solution Exploration Papers Series. White paper prepared for the Carnegie Foundation for the Advancement of Teaching. Stanford, CA
16. Fong, C. J., C. W., Davis, Y., Kim, Y. W., Kim, L., Marriott, and S., Kim. 2016. “Psychosocial Factors and Community College Success: A Meta-Analytic Investigation.” Review of Educational Research. Advance online publication. doi:10.3102/0034654316653479
17. C.J.Fong, and J.M.Krause. 2014. “Lost Confidence and Potential: A Mixed Methods Study of Underachieving College Students’ Sources of Self-Efficacy.” Social Psychology of Education 17: 249–268. doi:10.1007/s11218-013-9239-1
18. Fong, K. E., T., Melguizo, and G., Prather. 2015. “Increasing Success Rates in Developmental Math: The Complementary Role of Individual and Institutional Characteristics.” Research in Higher Education 56: 719–749. doi:10.1007/s11162-015-9368-9
19. Fong, C. J., L. R., Zientek, and J. M., Phelps. 2015. “Between and within Ethnic Differences in Strategic Learning: A Study of Developmental Mathematics Students.” Social Psychology of Education 18: 55–74. doi:10.1007/s11218-014-9275-5
20. Garriott, P. O., L. Y., Flores, B., Prabhakar, E. C., Mazzotta, A. C., Liskov, and J. E., Shapiro. 2014. “Parental Support and Underrepresented Students’ Math/Science Interests: The Mediating Role of Learning Experiences.” Journal of Career Assessment 22: 627–641. doi:10.1177/1069072713514933
21. Gerlaugh, G., L., Thompson, H., Boylan, and H., Davis. 2007. “National Study of Developmental Education II: Baseline Data for Community Colleges.” Research in Developmental Education 20 (4): 1–4
22. Hattie, J., and H., Timperley. 2007. “The Power of Feedback.” Review of Educational Research 77: 81–112. doi:10.3102/003465430298487
23. Hu, L. T., and P. M., Bentler. 1998. “Fit Indices in Covariance Structure Modeling: Sensitivity to Underparameterized Model Misspecification.” Psychological Methods 3: 424–453. doi:10.1037/1082-989X.3.4.424
24. Hu, L., and P. M., Bentler. 1999. “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives.” Structural Equation Modeling: A Multidisciplinary Journal 6: 1–55.10.1080/10705519909540118
25. Huberty, C. J., 1994. Applied Discriminant Analysis. New York, NY: Wiley
26. Jameson, M. M., and B. R., Fusco. 2014. “Math Anxiety, Math Self-Concept, and Math Self-Efficacy in Adult Learners Compared to Traditional Undergraduate Students.” Adult Education Quarterly 64: 306–322. doi:10.1177/0741713614541461
27. Kenney, D., 2014. Measuring Model Fit. https://davidakenny.net/cm/fit.htm
28. Kline, R. B., 1998. Principles and Practice of Structural Equation Modeling. New York, NY: Guilford
29. Knapp, L. G., J. E., Kelly-Reid, and S. A., Ginder. 2009. Enrollment in Postsecondary Institutions, Fall 2007; Graduation Rates, 2001 & 2004 Cohorts; and Financial Statistics, Fiscal Year 2007: First Look. Washington, DC: National Center for Education Statistics
30. Kosiewicz, H., F., Ngo, and K. E., Fong. 2016. “Alternative Models to Deliver Developmental Math: Issues of Use and Student Access.” Community College Review 44: 205–231. doi:10.1177/0091552116651490
31. K.Kraha, H.Turner, K.Nimon, L.R.Zientek, and R.Henson. 2012. “Tools to Support Interpreting Multiple Regression in the Face of Multicollinearity.” Frontiers in Quantitative Psychology and Measurement 3: 1–16. doi:10.3389/fpsyg.2012.00044
32. Lent, R. W., F. G., Lopez, and K. J., Bieschke. 1991. “Mathematics Self-Efficacy: Sources and Relation to Science-Based Career Choice.” Journal of Counseling Psychology 38: 424–430.10.1037/0022-0167.38.4.424
33. Lopez, F. G., and R. W., Lent. 1992. “Sources of Mathematics Self-efficacy in High School Students.” The Career Development Quarterly 41 (1): 3–12. doi:10.1002/j.2161-0045.1992.tb00350.x
34. Ma, X., 1999. “A Meta-Analysis of the Relationship between Anxiety toward Mathematics and Achievement in Mathematics.” Journal for Research in Mathematics Education 30: 520–540. doi:10.2307/749772
35. MacCallum, R. C., M. W., Browne, and H. M., Sugawara. 1996. “Power Analysis and Determination of Sample Size for Covariance Structure Modeling.” Psychological Methods 1: 130–149. doi:10.1037/1082-989X.1.2.130
36. Marsh, H. W., K. T., Hau, and Z., Wen. 2004. “In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings.” Structural Equation Modeling: A Multidisciplinary Journal 11: 320–341. doi:10.1207/s15328007sem1103_2
37. Melguizo, T., J. M., Bos, F., Ngo, N., Mills, and G., Prather. 2016. “Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in Developmental Math.” Research in Higher Education 57: 123–151. doi:10.1007/s11162-015-9382-y
38. Ngo, F., and H., Kosiewicz. 2017. “How Extending Time in Developmental Math Impacts Student Persistence and Success: Evidence from a Regression Discontinuity in Community Colleges.” The Review of Higher Education 40: 267–306. doi:10.1353/rhe.2017.0004
39. Ngo, F., and W. W., Kwon. 2015. “Using Multiple Measures to Make Math Placement Decisions: Implications for Access and Success in Community Colleges.” Research in Higher Education 56: 442–470. doi:10.1007/s11162-014-9352-9
40. Ngo, F., and T., Melguizo. 2016. “How Can Placement Policy Improve Math Remediation Outcomes? Evidence from Experimentation in Community Colleges.” Educational Evaluation and Policy Analysis 38: 171–196. doi:10.3102/0162373715603504
41. Nimon, K., 2015. “Secondary Data Analyses from Published Descriptive Statistics: Implications for Human Resource Development Theory, Research, and Practice.” Advances in Developing Human Resources 17: 26–39. doi:10.1177/1523422314559805
42. Pajares, F., 2006. “Self-Efficacy Beliefs during Adolescence: Implications for Teachers and Parents.” In Adolescence and Education. Vol. 5: Self-Efficacy Beliefs of Adolescents, edited by F., Pajares and T., Urdan, 1–43. Greenwhich, CT: Information Age Publishing
43. Pajares, F., and J. S., Barich. 2005. “Assessing Self-Efficacy: Are Skills-Specific Measures Better than Domain-Specific Measures?” Psychology 12: 334–348
44. Pajares, F., and L., Graham. 1999. “Self-Efficacy, Motivation Constructs, and Mathematics Performance of Entering Middle School Students.” Contemporary Educational Psychology 24: 124–139. doi:10.1006/ceps.1998.0991
45. Pajares, F., and D. H., Schunk. 2002. “Self and Self-Belief in Psychology and Education: A Historical Perspective.” In Improving Academic Achievement: Impact of Psychological Factors on Education, edited by J., Aronson, 3–21. San Diego, CA: Academic Press.10.1016/B978-012064455-1/50004-X
46. Pajares, F., and T., Urdan, eds. 2006. Adolescence and Education: Vol. 5. Self-Efficacy Beliefs of Adolescents. Greenwich, CT: Information Age
47. Reys, R. E., M. N., Suydam, and M. N., Lindquist. 1995. Helping Children Learn Mathematics. Boston, MA: Allyn & Bacon
48. Richardson, M., C., Abraham, and R., Bond. 2012. “Psychological Correlates of University Students' Academic Performance: A Systematic Review and Meta-Analysis.” Psychological Bulletin 138: 353–387.10.1037/a0026838
49. Rossnan, S., 2006. “Overcoming Math Anxiety.” Mathitudes 1 (1): 1–4
50. A.Russell, 2008, August. Enhancing College Student Success through Developmental Education. a Higher Education Policy Brief. https://www.aascu.org/uploadedFiles/AASCU/Content/Root/PolicyAndAdvocacy/PolicyPublications/pmaug08.pdf
51. Schneider, M., and F., Preckel. 2017. “Variables Associated with Achievement in Higher Education: A Systematic Review of Meta-Analyses.” Psychological Bulletin 143: 565–600. doi:10.1037/bul0000098
52. Schunk, D., 1999. Learning Theories: An Educative Perspective. Upper Saddle River, NJ: Merril
53. Siegle, D., and D. B., McCoach. 2007. “Increasing Student Mathematics Self-Efficacy through Teacher Training.” Journal of Advanced Academics 18: 278–312
54. Sparks, D., and N., Malkus. 2013, January. Statistics in Brief: First-Year Undergraduate Remedial Coursetaking: 1999-2000, 2003-04, 2007-08. Washington, DC: National Center for Education Statistics
55. Steiger, J. H., 2007. “Understanding the Limitations of Global Fit Assessment in Structural Equation Modeling.” Personality and Individual Differences 42: 893–898. doi:10.1016/j.paid.2006.09.017
56. Thompson, B., 2004. Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications. Washington, DC: American Psychological Association.10.1037/10694-000
57. Thompson, B., 2006. Foundations of Behavioral Statistics: An Insight-Based Approach. New York, NY: Guilford
58. Usher, E. L., 2007. “Tracing the Origins of Confidence: A Mixed Methods Exploration of the Sources of Self-Efficacy Beliefs in Mathematics.” Doctoral dissertation. Available from ProQuest Dissertations and Theses database. (UMI No. 3264109)
59. Usher, E. L., and F., Pajares. 2006. “Sources of Academic and Self-Regulatory Efficacy Beliefs of Entering Middle School Students.” Contemporary Educational Psychology 31: 124–141. doi:10.1016/j.cedpsych.2005.03.002
60. Usher, E. L., and F., Pajares. 2008. “Sources of Self-Efficacy in School: Critical Review of the Literature and Future Directions.” Review of Educational Research 78: 751–796.10.3102/0034654308321456
61. Usher, E. L., and F., Pajares. 2009. “Sources of Self-Efficacy in Mathematics: A Validation Study.” Contemporary Educational Psychology 34: 89–101. doi:10.1016/j.cedpsych.2008.09.002
62. Valentine, J. C., D. L., DuBois, and H., Cooper. 2004. “The Relation between Self-Beliefs and Academic Achievement: A Meta-Analytic Review.” Educational Psychologist 39: 111–133.10.1207/s15326985ep3902_3
63. Wilkinson, L., and Task Force on Statistical Inference. 1999. “Statistical Methods in Psychology Journals.” American Psychologist 54: 594–604. doi:10.1037/0003-066X.54.8.594
64. Zientek, L. R., and B., Thompson. 2006. “Commonality Analysis: Partitioning Variance to Facilitate Better Understanding of Data.” Journal of Early Intervention 28: 299–307. doi:10.1177/105381510602800405
65. Zientek, L. R., and B., Thompson. 2009. “Matrix Summaries Improve Research Reports: Secondary Analyses Using Published Literature.” Educational Researcher 38: 343–352. doi:10.3102/0013189X09339056
66. Zientek, L. R., Z. E., Yetkiner, and B., Thompson. 2010. “Characterizing the Mathematics Anxiety Literature Using Confidence Intervals as a Literature Review Mechanism.” The Journal of Educational Research 103: 424–438. doi:10.1080/00220670903383093
67. Zientek, L. R., Z. E., Yetkiner-Ozel, C. J., Fong, and M., Griffin. 2013. “Student Success in Developmental Mathematics Courses.” Community College Journal of Research and Practice 37: 990–1010. doi:10.1080/10668926.2010.491993
68. Zimmerman, B. J., A., Moylan, J., Hudesman, N., White, and B., Flugman. 2011. “Enhancing Self-Reflection and Mathematics Achievement of at-Risk Urban Technical College Students.” Psychological Test and Assessment Modeling 53: 141–160