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The “magic” of mean gain

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References

  • American College Testing Program (1973).Highlights of the ACT Technical Report. Iowa City, IA: Author.

  • Baird, Leonard L. (1988). Value-added. Using student gains as yardsticks of learning. In Clifford Adelman (ed.),Performance and Judgment: Essays on Principles and Practice in the Assessment of College Student Learning (pp. 205–216). Washington, DC: U.S. Government Printing Office.

    Google Scholar 

  • Burstein, Leigh (1980). The analysis of multi-level data in educational research and evaluation. In David C. Berliner (ed.),Review of Research in Education (vol. 8, pp. 158–233). Washington, DC: American Educational Research Association.

    Google Scholar 

  • Collins, Linda M. (1991). Analyzing and understanding patterns of change: Where are we headed? Presentation at the annual meeting of the AAHE Assessment Forum, San Francisco.

  • Cronbach, Lee J. Gleser, Goldine C., Nanda, Harinder, and Rajaratnam, Nageswari (1972).The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. New York: Wiley.

    Google Scholar 

  • Forrest, Aubrey, and Steele, Joe M. (1982).Defining and Measuring General Education Knowledge and Skills. Iowa City, IA: American College Testing Program.

    Google Scholar 

  • Kane, Michael T., and Brennan, Robert L. (1977). The generalizability of class means.Review of Educational Research 47: 267–292.

    Google Scholar 

  • Lord, Frederic M. (1956). The measurement of growth.Educational and Psychological Measurement 16: 421–437.

    Google Scholar 

  • Pike, Gary R. (1991). Using structural equation models with latent variables to study student growth and development.Research in Higher Education 32: 499–523.

    Google Scholar 

  • Pike, Gary R. (1992a). Lies, damn lies, and statistics revisited: A comparison of three methods of representing change.Research in Higher Education 33: 71–84.

    Google Scholar 

  • Pike, Gary R. (1992b). Using mixed-effect structural equation models to study student academic development.Review of Higher Education 15: 151–177.

    Google Scholar 

  • Steele, Joe M. (1988). Using measures of student outcomes and growth to improve college programs. Paper presented at the annual forum of the Association for Institutional Research, Phoenix.

  • Steele, Joe M. (1989). A generalizability analysis of the COMP Objective Test (Form 9). Unpublished manuscript, American College Testing Program, Iowa City, IA.

  • Thorndike, Robert L. (1966). Intellectual status and intellectual growth.Journal of Educational Psychology 57: 121–127.

    Google Scholar 

  • Yarbrough, Donald B. (1991). Assessing cognitive general education outcomes: Conclusions from a decade of research on the ACT COMP measures. Unpublished manuscript, American College Testing Program, Iowa City, IA.

    Google Scholar 

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Pike, G.R. The “magic” of mean gain. Res High Educ 34, 131–134 (1993). https://doi.org/10.1007/BF00991868

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