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Establishing an Early Warning System: Predicting Low Grades in College Students from Survey of Academic Orientations Scores

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Abstract

Counselors, faculty, and student personnel specialists are often unaware that college students are experiencing serious academic or adjustment difficulties until it is too late to rectify the problem. Most universities would benefit from an early warning system that detects at-risk students before performance or social problems jeopardize their college careers. This investigation demonstrated that scores from the Survey of Academic Orientations (SAO) were predictive of first-semester freshmen grades. Subsequent analysis showed that the SAO significantly improved the prediction of grade point averages, after taking the effects of Scholastic Assessment Test scores and high school percentage rank into consideration. The SAO gives educators a new early warning device, a way to identify those undergraduates most at risk of receiving poor grades. The next steps in the research process are to: (1) assess the relationship of SAO scores to other important academic indexes, such as retention and student stress, and (2) determine if furnishing counselors and other college personnel with SAO scores is of therapeutic value.

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REFERENCES

  • Allen, David (1999). Desire to finish college: an empirical link between motivation and persistence. Research in Higher Education 40: 461-486.

    Google Scholar 

  • Allgood, Whitney Pitts, Risko, Victoria J., Alvarez, Marino C., and Fairbanks, Marilyn M. (2000). Factors that influence study. In Rona F. Flippo and David C. Caverly (eds.), Handbook of College Reading and Study Strategy Research, pp. 201-219. Mah-wah, NJ: Erlbaum.

    Google Scholar 

  • Astin, Alexander W. (1993). What Matters in College. San Francisco: Jossey-Bass.

    Google Scholar 

  • Bandura, Albert (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Bandura, Albert (ed.) (1995). Self-Efficacy in Changing Societies. New York: Cambridge University Press.

    Google Scholar 

  • Beck, Hall P., Rorrer-Woody, Sherry, and Pierce, Linda G. (1991). The relationships of learning-and grade-orientations to academic performance. Teaching of Psychology 18: 35-37.

    Google Scholar 

  • Berger, Joseph B., and Milem, Jeffrey F. (1999). The role of student involvement and perceptions of integration in a causal model of student persistence. Research in Higher Education 40: 641-664.

    Google Scholar 

  • Bradshaw, Scott, Ashley, Willie, Hedgebeth, James, and Peters, Natasha (1998, May). Does the survey of academic orientations predict grades at a HBCU. Poster presented at the meeting of the American Psychological Society, Washington, DC.

  • Bridgeman, Brent, and Wendler, Cathy (1991). Gender differences in predictors of college mathematics performance and in college mathematics course grades. Journal of Educational Psychology 83: 275-284.

    Google Scholar 

  • Brown, Nina W. (1994). Cognitive, interest, and personality variables predicting first-semester GPA. Psychological Reports 74: 605-606.

    Google Scholar 

  • Carstens, Christian B., and Beck, Hall P. (1986). The relationship of high school psychology and natural science courses to performance in a college introductory psychology class. Teaching of Psychology 13: 116-118.

    Google Scholar 

  • Ceci, Stephen J., and Roazzi, Antonio. (1994). The effects of context on cognition: Post-cards from Brazil. In Robert J. Sternberg and Richard K. Wagner (eds.), Mind in Context, pp. 74-101. New York: Cambridge University Press.

    Google Scholar 

  • Charlton, John P., and Birkett, Paul E. (1999). An integrative model of factors related to computing course performance. Journal of Educational Computing Research 20: 237-257.

    Google Scholar 

  • Cokley, Kevin (2000). Perceived faculty encouragement and its influence on college students. Journal of College Student Development 41: 348-352

    Google Scholar 

  • Covington, Martin V. (2000). Intrinsic versus extrinsic motivation in schools: a reconciliation. Current Directions in Psychological Science 9: 22-25.

    Google Scholar 

  • Cronbach, Lee J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika 16: 297-334.

    Google Scholar 

  • Crouse, Roy H. (1982). Peer network therapy: an intervention with the social climate of students in residence halls. Journal of College Student Personnel 23: 105-108.

    Google Scholar 

  • Davidson, William D., and Beck, Hall P. (1999, June). Prediction of college students' grades using six academic orientations. Poster presented at the meeting of the American Psychological Society, Denver, CO.

  • Davidson, William B., Beck, Hall P., and Silver, Ned C. (1999). Development and validation of scores on a measure of academic orientations in college students. Educational and Psychological Measurement 59: 678-693.

    Google Scholar 

  • Duke, J. Daniel (1983). Disparities in grading practice, some resulting inequities, and a proposed new index of academic achievement. Psychological Reports 53: 1023-1080.

    Google Scholar 

  • Ebeling, Karen S., and Spear, Paul S. (1980). Preference and performance on two tasks of varying ambiguity as a function of ambiguity tolerance. Australian Journal of Psychology 32: 127-133.

    Google Scholar 

  • Elkins, Susan A., Braxton, John M., and James, Glenn W. (2000). Tinto's separation stage and its influence on first-semester college student persistence. Research in Higher Education 41: 251-268.

    Google Scholar 

  • Ethington, Corrina A., and Wolfe, Lee M. (1984). Sex differences in a causal model of mathematics achievement. Journal for Research in Mathematics Education 15: 361-377.

  • Ferrari, Joseph R., and Parker, James T. (1992). High school achievement, self-efficacy, and locus of control as predictors of freshman academic performance. Psychological Reports 71: 515-518.

    Google Scholar 

  • Fulkerson, Frank E., and Martin, Glen (1981). Effects of exam frequency on student performance, evaluations of instructor, and test anxiety. Teaching of Psychology 8: 90-93.

    Google Scholar 

  • Gattis, Kenneth W. (2000). Long-term knowledge gains due to supplemental instruction in college chemistry courses. Journal of Research and Development in Education 33: 118-126.

    Google Scholar 

  • Goulden, Nancy Rost, and Griffin, Charles J. G. (1997). Comparison of university faculty and student beliefs about the meaning of grades. Journal of Research and Development in Education 31: 27-37.

    Google Scholar 

  • Hackett, Gail, Betz, Nancy E., Casas, J. Manuel, and Rocha-Singh, Indra A. (1992). Gender, ethnicity, and social cognitive factors predicting the academic achievement of students in engineering. Journal of Counseling Psychology 39: 527-538.

    Google Scholar 

  • Harackiewicz, Judith M., Barron, Kenneth E., Carter, Suzanne M., Lehto, Alan T., and Elliott, Andrew J. (1997). Predictors and consequences of achievement goals in the college classroom: Maintaining interest and making the grade. Journal of Personality and Social Psychology 73: 1284-1295.

  • Illovsky, Michael E. (1997). Effects of counseling on grades and retention. Journal of College Student Psychotherapy 12: 29-44.

    Google Scholar 

  • Johnson, Basil G., and Beck, Hall P. (1988). Strict and lenient grading scales: How do they affect the performance of college students with high and low SAT Scores? Teaching of Psychology 15: 127-131.

    Google Scholar 

  • Larose, Simon, Robertson, Donald U., and Legault, Fredrick (1998). Non-intellectual learning factors as determinants for success in college. Research in Higher Education 39: 275-297

    Google Scholar 

  • Larose, Simon, and Roy, Roland (1991). The role of prior academic performance and nonacademic attributes in the prediction of the success of high-risk college students. Journal of College Student Development 32: 171-177.

    Google Scholar 

  • Luckie, William R., and Smethurst, Wood (1998). Study Power: Study Skills to Improve Your Learning and Your Grades. Cambridge, MA: Brookline Books.

    Google Scholar 

  • Markus, Hazel, and Wurf, Elissa (1987). The dynamic self-concept: a social psychological perspective. Annual Review of Psychology 38: 299-337.

    Google Scholar 

  • Milton, Ohmer, Pollio, Howard R., and Eison, James A. (1986). Making Sense of College Grades. San Francisco: Jossey-Bass.

    Google Scholar 

  • Miner, James B. (1910). The college laggard. Journal of Educational Psychology 1: 263-271.

    Google Scholar 

  • Mone, Mark A., Baker, Douglas D., and Jeffries, Frank. (1995). Predictive validity and time dependency of self-efficacy, self-esteem, personal goals, and academic performance. Educational and Psychological Measurement 55: 716-727.

    Google Scholar 

  • Mulkey, Lynn M., Crain, Robert L., and Harrington, Alexander J. (1992). One parent households and achievement: economic and behavioral explanations of a small effect. Sociology of Education 65: 48–65.

  • Murtaugh, Paul A., Burns, Leslie D., and Schuster, Jill (1999). Predicting the retention of university students. Research in Higher Education 40: 355-371.

    Google Scholar 

  • Musgrave-Marquart, Diane, Bromley, Susan P., and Dalley, Mahlon B. (1997). Personality, academic attribution, and substance abuse as predictors of academic achievement in college students. Journal of Social Behavior and Personality 12: 501-511.

    Google Scholar 

  • Mutter, Priscilla (1992). Tinto's theory of departure and community college student persistence. Journal of College Student Development 33: 310-317.

    Google Scholar 

  • Noels, Kimberly A., Clement, Richard, and Pelletier, Luc G. (1999). Perceptions of teachers' communicative style and students' intrinsic and extrinsic motivation. Modern Language Journal 83: 23–34.

  • Pollio, Howard R., and Beck, Hall P. (2000). When the tail wags the dog: perceptions of learning and grade orientations in, and by, contemporary college students. Journal of Higher Education 71: 84-102.

    Google Scholar 

  • Ramist, Leonard, Lewis, Charles, and McCamley-Jenkins, Laura (1994). Student group differences in predicting college grades: Sex, language, and ethnic groups. (College Board Report No. 93-1, ETS RR No. 94-27). New York: College Entrance Examination Board.

  • Reutefors, D.L., Schneider, Lawrence J., and Overton, Tom D. (1979). Academic achievement: an examination of Holland's congruence, consistency, and differentiation predictions. Journal of Vocational Behavior 14: 181-189.

    Google Scholar 

  • Ryland, Elizabeth B., Riordan, Richard J., and Brack, Gregory (1994). Selected characteristics of high-risk students and their enrollment persistence. Journal of College Student Development 35: 54-58.

    Google Scholar 

  • Sharp, Bobby H., Swing, Randy L., Thompson, Trudy, Austin, Audrey, Langdon, Heather H., Pacilio, Annette S., and Call, Alice J. (1999). Appalachian State University Factbook 1998–-99. Boone, NC: Appalachian State University.

    Google Scholar 

  • Sternberg, Robert J. (1990). Metaphors of Mind. New York: Cambridge University Press.

    Google Scholar 

  • Sternberg, Robert J. (1999). A triarchic approach to understanding and assessment of intelligence in multicultural populations. Journal of School Psychology 37: 145-159.

    Google Scholar 

  • Stricker, Lawrence J., Rock, Donald A., and Burton, Nancy W. (1996). Using the SAT and high school record in academic guidance. Educational and Psychological Measurement 56: 626-641.

    Google Scholar 

  • Ting, Sui-Man R., and Robinson, Tracy L. (1998). First year academic success: a prediction combining cognitive and psychosocial variables for Caucasians and African American students. Journal of College Student Development 39: 599-610.

    Google Scholar 

  • Tinto, Vincent (1993). Leaving College: Rethinking the Causes and Cures of Student Attrition. Chicago: University of Chicago Press.

    Google Scholar 

  • Valsiner, Jaan, and Leung, Man-Chi (1994). From intelligence to knowledge construction: a sociogenetic process approach. In Robert J. Sternberg and Richard K. Wagner (eds.), Mind in Context, pp. 202-217. New York: Cambridge University Press.

    Google Scholar 

  • Waters, Marie, Kemp, Eleanor, and Pucci, Aldo (1988). High and low faculty evaluations: descriptions by students. Teaching of Psychology 15: 203-204.

    Google Scholar 

  • Wesley, Joseph C. (1994). Effects of ability, high school achievement, and procrastinatory behavior on college performance. Educational and Psychological Measurement 54: 404-408.

    Google Scholar 

  • Witherspoon, A. D., Long, Carolyn K., and Chubick, Jennifer D. (1999). Prediction of college student dropouts using EDS scores. Journal of College Student Development 40: 82-86.

    Google Scholar 

  • Wolfe, Raymond N., and Johnson, Scott D. (1995). Personality as a predictor of college performance. Educational and Psychological Measurement 55: 177-185.

    Google Scholar 

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Beck, H.P., Davidson, W.D. Establishing an Early Warning System: Predicting Low Grades in College Students from Survey of Academic Orientations Scores. Research in Higher Education 42, 709–723 (2001). https://doi.org/10.1023/A:1012253527960

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