The Influence of Computer Confidence on Retention in the Community College

References

• Adair, R. K. (1991). Using quantitative measures to predict persistence in the natural sciences. College & University, 51(1), 73–79.
   Google Scholar
• Anderson, R. E. (Ed.). (1986). Monitoring the effect of computers on education. Sigcue Bulletin, 28(2-4), 16–21.
   Google Scholar
• Apple, M. W. (1991). The new technology: Is it part of the solution or part of the problem in education? Computers in the Schools, 8(1/2/3)59–81.
   Google Scholar
• Babbie, E. R. (1973). Survey research methods. Belmont, CA: Wadsworth Publishing.
   Google Scholar
• Becker, H. J. (1991). How computers are used in United States schools: Basic data from the 1989 I. E. A. Computers in Education Survey. Journal of Educational Computing Research, 7(4), 385–406.
   Web of Science ®Google Scholar
• Becker, H. J., & Sterling, C. W. (1987). Equity in school computer use: National data and neglected considerations. Journal of Educational Computing Research, 3(3), 289–311.
   Web of Science ®Google Scholar
• Bell, C., Jr. (1984). Grades as a predictor of attrition. Community College Review, 12(2), 13–15.
   Google Scholar
• Billings, K. (1986). Evaluating computer education programs in the schools. Sigcue Bulletin, 18(2-4), 22–35.
   Google Scholar
• Bonham, L. A., & Luckie, J. A. I. (1993). Taking a break in schooling: Why community college students stop out. Community College Journal of Research and Practice, 17(3), 257–270.
   Google Scholar
• Bork, A. (1993). A historical survey of computer technology in education. In R. Muffoletto & N. N. Knupfer (Eds.), Computers in education: Social, political, and historical perspectives (pp. 91–105). Cresskill, NJ: Hampton Press.
   Google Scholar
• Brooks-Leonard, C. (1991). Demographic and academic factors associated with first- to second-term retention in a two-year college. Community/Junior College Quarterly of Research and Practice, 15(1), 57–69.
   Google Scholar
• Busch, T. (1995). Gender differences in self-efficacy and attitudes toward computers. Journal of Educational Computing Research, 12(2), 147–158.
   Web of Science ®Google Scholar
• Carroll, C. D. (1990, April). Persistence in postsecondary education: Trends, determinants, and implications. Paper presented at the meeting of the American Educational Research Association, Boston, MA.
   Google Scholar
• Conklin, K. A. (1993). Leaving the community college: Attrition, completion, or something else? Community College Journal of Research and Practice, 17(1), 1–11.
   Google Scholar
• Dey, E. L., & Astin, A. W. (1993). Statistical alternatives for studying college student retention: A comparative analysis of logit, probit, and linear regression. Research in Higher Education, 34(5), 569–581.
   Web of Science ®Google Scholar
• Feldman, M. J. (1993). Factors associated with one-year retention in a community college. Research in Higher Education, 34(4), 503–512.
   Web of Science ®Google Scholar
• Fralick, M. (1993). College success: A study of positive and negative attrition. Community College Review, 20(5), 29–36.
   Google Scholar
• Gaither, G. H. (1992). Persistence patterns in public higher education: The case of Texas. College & University, 67(4), 245–252.
   Google Scholar
• Gates, A. G., & Creamer, J. G. (1984). Two-year college attrition: Do student or institutional characteristics contribute most? Community/Junior College, 8(1-4), 39–51.
   Google Scholar
• Halpin, R. L. (1990). An application of the Tinto model to the analysis of freshman persistence in a community college. Community College Review, 17(4), 22–32.
   Google Scholar
• Harrington, H. (1991). Normal style technology in teacher education: Technology and the education of teachers. Computers in the Schools, 8(1/2/3), 49–57.
   Google Scholar
• Henerson, M. E., Morris, L. L., & Fitz-Gibbon, C. T. (1987). How to measure attitudes. Beverly Hills, CA: Sage Publications.
   Google Scholar
• Hignite, M. A., & Echternacht, L. J. (1992). Assessment of the relationships between the computer attitudes and computer literacy levels of prospective educators. Journal of Research on Computing in Education, 24(3), 381–391.
   Google Scholar
• Klein, J. D., Knupfer, N. N., & Crooks, S. M. (1993). Differences in computer attitudes and performance among reentry and traditional college students. Journal of Research on Computing in Education, 25(4), 498–505.
   Google Scholar
• Larson, J. M., & Smith, M. A. (1993, February). An assessment of the computer literacy of incoming students at the University ofWisconsin-Eau Claire. Paper presented at the meeting of the Association of Educational Communications and Technology, Nashville, TN.
   Google Scholar
• Loyd, B. H., & Gressard, C. (1984). The effects of sex, age, and computer experience on computer attitudes. Association for Educational Data Systems Journal, 17(2), 67–77.
   Google Scholar
• Mahmood, M. A., & Medewitz, J. N. (1989). Assessing the effect of computer literacy on subjects’ attitudes, values, and opinions toward information technology: An exploratory longitudinal investigation using the linear structural relations (LISREL) model. Journal of Computer-Based Instruction, 16(2), 20–28.
   Google Scholar
• Malaney, G. D., & Thurman, Q. (1989). Key factors in the use and frequency of use of microcomputers by college students. Journal of Educational Technology Systems, 18(2), 151–160.
   Google Scholar
• Morahan-Martin, J., Olinsky, A., & Schumacher, P. (1992). Gender differences in computer experience, skills, and attitudes among incoming college students. Collegiate Microcomputer, 10(2), 1–8.
   Google Scholar
• Muffoletto, R., & Knupfer, N. N. (Eds.). (1993). Computers in education: Social, political, and historical perspectives. Cresskill, NJ: Hampton Press.
   Google Scholar
• Oliver, R., & Kerr, T. (1993). The impact of word processing on the preparation and submission of written essays in a tertiary course of study. Higher Education, 26(2), 217–226.
   Google Scholar
• Pascarella, E. T., & Terenzini, P. T. (1991). How college affects students: Findings and insights from 20 years of research. San Francisco, CA: Jossey-Bass.
   Google Scholar
• Powers, D. E., Fowles, M. E., Farnum, M., & Ramsey, P. (1992, January). Will they think less of my handwritten essay if others word process theirs? Effects on essay scores of intermingling handwritten and word-processed essays (The Praxis Series: Professional Assessments for Beginning Teachers. RR 92-45). Princeton, NJ: Educational Testing Service.
   Google Scholar
• Quality Education Data. (1994a). Educational technology trends 1993-1994. QED’s seventh annual sample survey of technology use and purchase plans in US public schools. Extract. Denver, CO: Author.
   Google Scholar
• Quality Education Data (1994b). Technology in the public schools 1993-1994: QED’s 13th annual census study of public school technology use. Extract. Denver, CO: Author.
   Google Scholar
• Retherford, R. D., & Choe, M. K. (1993). Statistical model for causal analysis. New York: John Wiley & Sons.
   Google Scholar
• Savenye, W. C., Davidson, G. V., & Orr, K. B. (1992). Effects of an educational computing course on preservice teachers’ attitudes and anxiety toward computers. Journal of Computing in Childhood Education, 3(1), 31–41.
   Google Scholar
• Simonson, M. R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a standardized test of computer literacy and a computer anxiety index. Journal of Educational Computing Research, 3(2), 231–247.
   Web of Science ®Google Scholar
• Smith, B. M. (1993). The effect of quality of effort on persistence among traditional-aged community college students. Community College Journal of Research and Practice, 17(2), 103–122.
   Google Scholar
• Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition. Chicago: University of Chicago Press.
   Google Scholar
• Tinto, V. (1994, June). Student success and the construction of inclusive educational communities. Paper presented at the meeting of Nellie Mae and the New England Board of Higher Education, Boston, MA.
   Google Scholar
• U.S. Department of Education. (1994, September 10). Projections of college enrollment, degrees conferred, and high school graduates, 1994-2004. The Chronicle of Higher Education Almanac, 61(2) 16.
   Google Scholar
• University of Hawaii. (n.d.). Persistence and completion rates: University of Hawaii, community colleges Fall 1983 to Fall 1986 cohorts. University of Hawaii, Office for Research Administration.
   Google Scholar
• von Destinon, M., Ganz, B., & Engs, M. (1993). Outcomes assessment and minority students in community colleges. Community College Journal of Research and Practice, 17, 497–508.
   Google Scholar
• Webb, M. (1989). A theoretical model of community college student degree persistence. Community College Review, 16(4), 42–49.
   Google Scholar
• Wingo, O. G. (1993). The impact of legislated educational reforms on the academic preparation of entering community college students in the state of Florida. Community College Journal of Research and Practice, 17(2), 13–20.
   Google Scholar
• Woodrow, J. E. J. (1991). A comparison of four computer attitude scales. Journal of Educational Computing Research, 7(2), 165–187.
   Web of Science ®Google Scholar
• Wu, Y., & Morgan, M. (1989). Computer use, computer attitudes, and gender: Differential implications of micro and mainframe usage among college students. Journal of Research on Computing in Education, 22(2), 214–228.
   Google Scholar