Abstract
The present study sought to determine the extent to which participation in a post-secondary honors program affected academic achievement. Archival data were collected on three cohorts of high-achieving students at a large public university. Propensity scores were calculated on factors predicting participation in honors and used as the covariate. The Johnson–Neyman technique was used to determine the values of the covariate on which the groups differed. The effect of participating in honors was greater for smaller propensity scores. The findings offer a positive outcome associated with participation for students at the lower end of the propensity score continuum, providing evidence to conclude that such programs are beneficial to a subset of high-achieving students.
|
Ablard, K., Lipschultz, R. (1998). Self-regulated learning in high-achieving students: Relations to advanced reasoning, achievement goals, and gender. Journal of Educational Psychology, 90, 94-101. doi:10.1037/0022-0663.90.1.94 Google Scholar | Crossref | ISI | |
|
Achterberg, C. (2005). What is an honors student? Journal of the National Collegiate Honors Council, 6, 75-83. Google Scholar | |
|
Astin, A. (1978). Four critical years. San Francisco, CA: Jossey-Bass. Google Scholar | |
|
Astin, A. (1993). What matters in college? San Francisco, CA: Jossey-Bass. Google Scholar | |
|
Austin, P. (2011). An introduction to propensity score methods for reducing effects of confounding in observational studies. Multivariate Behavioral Research, 46, 300-424. Google Scholar | Crossref | ISI | |
|
Bacon, D., Bean, B. (2006). GPA in research studies: An invaluable but neglected opportunity. Journal of Marketing Education, 28, 35-42. doi:10.1177/0273475305284638 Google Scholar | SAGE Journals | |
|
Baltes, P. (1968). Longitudinal and cross-sectional sequences in the study of age and generation effects. Human Development, 11, 145-171. Google Scholar | Crossref | Medline | ISI | |
|
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman. Google Scholar | |
|
Bloom, B. (1976). Human characteristics and school learning. New York, NY: McGraw-Hill. Google Scholar | |
|
Blythe, H. (2004). Ethics on an honors college campus: An analysis of attitudes and behaviors of honors versus non-honors students. Journal of the National Collegiate Honors Council, 5, 25-35. Google Scholar | |
|
Borde, S. (1998). Predictors of student academic performance in the introductory marketing course. Journal of Education for Business, 73, 302. Google Scholar | Crossref | |
|
Burke, J., Modarresi, S. (2001). Performance funding programs: Assessing their stability. Research in Higher Education, 42, 51-70. Google Scholar | Crossref | ISI | |
|
Butler, J., Pryor, B., Marti, S. (2004). Communication apprehension and honors students. North American Journal of Psychology, 6, 293-296. Google Scholar | |
|
Campbell, D., Stanley, J., Gage, N. (1963). Experimental and quasi-experimental designs for research. Boston, MA: Houghton Mifflin. Google Scholar | |
|
Campbell, K. (2005). Allocation of resources: Should honors programs take priority? Journal of the National Collegiate Honors Council, 6, 95-103. Google Scholar | |
|
Castro-Johnson, M., Wang, A. (2003). Emotional intelligence and academic performance of college honors and non-honors freshmen. Journal of the National Collegiate Honors Council, 4, 105-114. Google Scholar | |
|
Chapman, K., Davis, R., Toy, D., Wright, L. (2004). Academic integrity in the business school environment: I’ll get by with a little help from my friends. Journal of Marketing Education, 26, 236-249. Google Scholar | SAGE Journals | |
|
Chase, C., Hemmeter, J., Griffin, N. (1971). Grade point averages: Honors vs. non-honors courses (Indiana Studies in Prediction, No. 15). Bloomington: Bureau of Educational Studies and Testing, Indiana University. Google Scholar | |
|
Cosgrove, J. (2004). The impact of honors programs on undergraduate academic performance, retention, and graduation. Journal of the National Collegiate Honors Council, 5, 45-53. Google Scholar | |
|
D’Alonzo, K. (2004). The Johnson-Neyman procedure as an alternative to ANCOVA. West Journal of Nursing Research, 26, 804-812. Google Scholar | SAGE Journals | ISI | |
|
Dorsey, S., Soeken, K. (1996). Use of the Johnson-Neyman procedure as an alternative to analysis of covariance. Nursing Research, 45, 363-366. Google Scholar | Crossref | Medline | ISI | |
|
Duckworth, A. (2006). Intelligence is not enough: Non-IQ predictors of achievement. Dissertation Abstracts International, 67, 1741. Google Scholar | |
|
Elliot, A. (2005). A conceptual history of the achievement goal construct. In Elliot, A., Dweck, C. S. (Eds.), Handbook of competence and motivation (pp. 52-72). New York, NY: Guilford. Google Scholar | |
|
Giazzoni, M., Hilberg, N. (2009). Dealing with subjective and objective issues in honors education. Journal of the National Collegiate Honors Council, 10, 57-59. Google Scholar | |
|
Hartleroad, G. E. (2005). Comparison of the academic achievement of first-year female honors program and non-honors program engineering students. Journal of the National Collegiate Honors Council, 6, 109-120. Google Scholar | |
|
Hébert, T., McBee, M. (2007). The impact of an undergraduate honors program on gifted university students. Gifted Child Quarterly, 51, 136-151. Google Scholar | SAGE Journals | ISI | |
|
Hite, R., McIntyre, F., Lynch, D. (2001). The impact of student characteristics on cooperative testing in the marketing classroom. Marketing Education Review, 11, 27-34. Google Scholar | Crossref | |
|
Hoxby, C., Avery, C. (2012). The missing “one-offs”: The hidden supply of high-achieving, low income students (Working Paper No. 18586). Washington, DC: National Bureau of Economic Research. Google Scholar | Crossref | |
|
Huitema, B. (2011). The analysis of covariance and alternatives: Statistical methods for experiments, quasi-experiments, and single-case studies. Hoboken, NJ: Wiley. Google Scholar | Crossref | |
|
Jaramillo, F., Spector, P. (2004). The effect of action orientation on the academic performance of undergraduate marketing majors. Journal of Marketing Education, 26, 250-260. doi:10.1177/0273475304268780. Google Scholar | SAGE Journals | |
|
Jarvik, L., Falek, A. (1963). Intellectual stability and survival in the aged. Journal of Gerontology, 18, 173-176. Google Scholar | Crossref | Medline | |
|
Johnson, P., Neyman, J. (1936). Tests of certain linear hypotheses and their applications to some educational problems. Statistical Research Memoirs, 1, 57-93. Google Scholar | |
|
Karakaya, F., Ainscough, T., Chopoorian, J. (2001). The effects of class size and learning style on student performance in a multimedia-based marketing course. Journal of Marketing Education, 23, 84. Google Scholar | SAGE Journals | |
|
Keller, R., Lacy, M. (2013). Propensity score analysis of an honors program’s contribution to students’ retention and graduation outcomes. Journal of the National Collegiate Honors Council, 13, 73-84. Google Scholar | |
|
Keppel, G., Wickens, D. (2004). Design and analysis: A researcher’s handbook. Upper Saddle River, NJ: Pearson. Google Scholar | |
|
McDermott, D. (1989). College honors programs foster elitism and threaten morale. Chronicle of Higher Education, 35, B2. Google Scholar | |
|
Mihelich, J., Storrs, D., Pellett, P. (2007). Transformational experience through liberation pedagogy: A critical look at honors education. Journal of the National Collegiate Honors Council, 8, 97-115. Google Scholar | |
|
Moon, J. (2012). Honors and high-ability students: Factors that predict academic efficacy, critical thinking skills, and academic goals. Available from Graduate Theses and Dissertations. (Paper 12412) Google Scholar | |
|
Moritz, B. (2011). Can the elitism of honors help students at non-elite schools? Journal of the National Collegiate Honors Council, 12, 65-67. Google Scholar | |
|
Morris, M. (2008). Examining teachers’ beliefs and instructional practices in secondary foreign language classes on honors and non-honors tracks: The role of teaching for communication. Teachers College Record, 110, 1065-1087. Google Scholar | ISI | |
|
Ogilvie, K., Reza, E. (2009). Business student performance in traditional vs. honors course settings. Business Education Innovation Journal, 1, 31-37. Google Scholar | |
|
Oshima, T. (2014). QJN.xlsx. Faculty website. Department of Educational Policy Studies, College of Education, Georgia State University. Retrieved from http://coeweb.gsu.edu/coshima/stat3.htm Google Scholar | |
|
Pedhazur, E. (1997). Multiple regression in behavioral research: Explanation and prediction (2nd ed.). New York, NY: Hold, Rinehart and Winston. Google Scholar | |
|
Pehlke, J. (2003). The myth of an honors education. Journal of the National Collegiate Honors Council, 4, 27-33. Google Scholar | |
|
Pothoff, R. (1964). On the Johnson-Neyman technique and some extensions thereof. Psychometrika, 29, 241-256. Google Scholar | Crossref | ISI | |
|
Rice, K., Leever, B., Christopher, J., Porter, J. (2006). Perfectionism, stress, and social (dis) connection: A short-term study of hopelessness, depression, and academic adjustment among honors students. Journal of Counseling Psychology, 53, 524-534. Google Scholar | Crossref | ISI | |
|
Rinn, A. (2005). Trends among honors college students: An analysis by year in school. Journal of Secondary Gifted Education, 16, 157-167. Google Scholar | SAGE Journals | |
|
Rinn, A. (2007). Effects of programmatic selectivity on the academic achievement, academic self-concepts, and aspirations of gifted college students. Gifted Child Quarterly, 51, 232-245. Google Scholar | SAGE Journals | ISI | |
|
Rinn, A., Cobane, C. (2009). Elitism misunderstood: In defense of equal opportunity. Journal of the National Collegiate Honors Council, 10, 53-56. Google Scholar | |
|
Rogosa, D. (1978). Some results for the Johnson-Neyman procedure. Dissertation Abstracts International, 38, 5366. Google Scholar | |
|
Roth, P., Clarke, R. (1998). Meta-analyzing the relationship between grades and salary. Journal of Vocational Behavior, 53, 386-400. Google Scholar | Crossref | ISI | |
|
Seifert, T., Pascarella, E., Colangelo, N., Assouline, S. (2007). The effects of honors program participation on experiences of good practices and learning outcomes. Journal of College Student Development, 48, 57-74. Google Scholar | Crossref | ISI | |
|
Selingo, J. (2002). Mission creep? Chronicle of Higher Education, 48, A19-A21. Google Scholar | |
|
Shadish, W., Clark, M., Steiner, P. (2008). Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments. Journal of the American Statistical Association, 103, 1334-1344. Google Scholar | Crossref | ISI | |
|
Shushok, F. (2002). Educating the best and the brightest: Collegiate honors programs and the intellectual, social and psychological development of students (Doctoral dissertation). University of Maryland, College Park, MD. Google Scholar | |
|
Shushok, F. (2006). Student outcomes and honors programs: A longitudinal study of 172 honors students, 2000-2004. Journal of the National Collegiate Honors Council, 7, 85-96. Google Scholar | |
|
Siegle, D., Rubenstein, L., Pollard, E., Romey, E. (2010). Exploring the relationship of college freshmen honors students’ effort and ability attribution, interest, and implicit theory of intelligence with perceived ability. Gifted Child Quarterly, 54, 92-101. Google Scholar | SAGE Journals | ISI | |
|
Sievert, W. (1972). College honors programs, accused of elitism, facing crises. Chronicle of Higher Education, 7, 1-5. Google Scholar | |
|
Slavin, C., Coladarci, T., Pratt, P. (2008). Is student participation in an honors program related to retention and graduation rates? Journal of the National Collegiate Honors Council, 66, 59-69. Google Scholar | |
|
Spurrier, R. (2009). To the charge of “honors is elitist,” on advice of counsel we plead “guilty as charged.” Journal of the National Collegiate Honors Council, 10, 49-51. Google Scholar | |
|
Stangor, C. (2010). Research methods for the behavioral sciences. Belmont, CA: Cengage Learning. Google Scholar | |
|
Tabachnick, B., Fidell, L. (2001). Using multivariate statistics. Boston, MA: Allyn & Bacon. Google Scholar | |
|
Tam, M., Sukhatme, U. (2003). The importance of high school quality in university admissions decisions. College & University, 78, 3-8. Google Scholar | |
|
Tam, M., Sukhatme, U. (2004). How to make better college admissions decisions: Considering high school quality and other factors. The Journal of College Admission, 183, 12-16. Google Scholar | |
|
Teske, B., Etheridge, B. (2010). Information and communication technology literacy among first-year honors and non-honors students: An assessment. Journal of the National Collegiate Honors Council, 11, 83-109. Google Scholar | |
|
Thoemmes, F., Kim, E. (2011). A systematic review of propensity score methods in the social sciences. Multivariate Behavioral Research, 46, 90-118. Google Scholar | Crossref | Medline | ISI | |
|
Weiner, N. (2009). Honors is elitist, and what’s wrong with that? Journal of the National Collegiate Honors Council, 10, 19-24. Google Scholar | |
|
What Works Clearinghouse . (2011). Procedures and Standards Handbook (Version 2.1). Washington, DC: U. S. Department of Education. Google Scholar | |
|
Wouters, S., Germeijs, V., Colpin, H., Verschueren, K. (2011). Academic self-concept in high school: Predictors and effects on adjustment in higher education. Scandinavian Journal of Psychology, 52, 586-594. Google Scholar | Crossref | Medline | ISI | |
|
Wurst, C., Smarkola, C., Gaffney, M. (2008). Ubiquitous laptop usage in higher education: Effects on student achievement, student satisfaction, and constructivist measures in honors and traditional classrooms. Computers & Education, 51, 1766-1783. Google Scholar | Crossref | ISI |

