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Related Experiment Video

Updated: Mar 22, 2026

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
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Predicting Performance in Higher Education Using Proximal Predictors.

A Susan M Niessen1, Rob R Meijer1, Jorge N Tendeiro1

  • 1Department of Psychometrics and Statistics, University of Groningen, Groningen, the Netherlands.

Plos One
|April 14, 2016
PubMed
Summary
This summary is machine-generated.

A trial-studying test effectively predicts academic performance and student-program fit, comparable to prior educational achievements. This method aids admissions, especially when past performance data is unavailable.

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Last Updated: Mar 22, 2026

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Area of Science:

  • Educational Psychology
  • Admissions Testing

Background:

  • Predicting academic success is crucial for student selection.
  • Traditional metrics like prior educational performance have limitations.

Purpose of the Study:

  • To evaluate the predictive validity of a trial-studying test for academic performance.
  • To assess its utility in predicting student-program fit and enrollment outcomes.

Main Methods:

  • Applicants to an undergraduate psychology program underwent a selection process.
  • This included a trial-studying test (work sample approach) and English/math skills tests.
  • Test scores were correlated with first-year academic achievement, course success, enrollment, and dropout rates.

Main Results:

  • All tested methods showed significant positive correlations with academic criteria.
  • The trial-studying test emerged as the strongest predictor in the admissions procedure.
  • Its predictive validity was comparable to prior educational performance, with significant shared variance.

Conclusions:

  • The trial-studying test is a valid instrument for predicting academic performance, similar to prior educational achievements.
  • It may enhance self-selection and is valuable for admissions when prior performance data is difficult to obtain or for assessing student-program fit.