Predicting self-efficacy and performance during skill acquisition.

Mitchell, Terence R., Hopper, Heidi, Daniels, Denise, George-Falvy, Jane·1994·Journal of Applied Psychology

Abstract

Subjects completed 7 trials of a complex computer task that simulated the job of an air traffic controller. Performance was calculated by combining points for the number of planes landed minus penalty points. Throughout the trials, subjects completed questionnaires assessing their self-efficacy, goals, expected performance, and the degree to which certain judgments required more or less cognitive processing. The results showed that during skill acquisition people report reductions in their cognitive processing for working on the task and for making self-efficacy judgments. Also, on early trials, self-efficacy is a better predictor of performance than are expected score or goals, whereas the reverse is true for later trials. The discussion focuses on understanding motivational processes during skill acquisition

Cites (11)

  1. Untitled work
    1980 · Medical Entomology and Zoology
  2. Handbook of Industrial and Organizational Psychology.
    Hammer, Tove Helland, Anderson, John, Gurdon, Michael, Jick, Todd, Petit, Andre, Stern, Robert, Schwartz, Howard, Vardi, Yoav, Dunnette, Marvin D. · 1977 · Administrative Science Quarterly
  3. Untitled work
    1964 · Medical Entomology and Zoology
  4. A Theory of Goal Setting and Task PerformanceA Theory of Goal Setting and Task Performance, by LockeEdwin A. and LathamGary P.. Englewood Cliffs, NJ: Prentice-Hall, 1990.
    Henry L. Tosi · 1991 · Academy of Management Review
  5. Advances in Motivation and Achievement
    2014 · Motivational Interventions
  6. Social Foundations of Thought and Action: A Social-Cognitive ViewSocial Foundations of Thought and Action: A Social-Cognitive View, by Bandura Albert. Englewood Cliffs, NJ: Prentice-Hall, 1986, 617 pp., cloth.
    Locke, Edwin A. · 1987 · Academy of Management Review
  7. Personality and the behavior disorders
    Joanne Hunt · 1944
  8. Cognitive Perspectives on Emotion and Motivation
    1988 · Springer eBooks
  9. Categories of Human Learning
    Arthur W. Melton · 1964 · Defense Technical Information Center (DTIC)
  10. Human Factors Psychology
    1987 · Advances in Psychology

Show all 11 references

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Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Predicting self-efficacy and performance during skill acquisition. https://app.cochat.ai/papers/10.1037//0021-9010.79.4.506
The paper
Mitchell, T. R., Hopper, H., Daniels, D., & George-Falvy, J. (1994). Predicting self-efficacy and performance during skill acquisition. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.79.4.506

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