PREDICTING PERFORMANCE IN A LOW-STAKES TEST USING SELF-REPORTED AND TIME-BASED MEASURES OF EFFORT Cover Image

PREDICTING PERFORMANCE IN A LOW-STAKES TEST USING SELF-REPORTED AND TIME-BASED MEASURES OF EFFORT
PREDICTING PERFORMANCE IN A LOW-STAKES TEST USING SELF-REPORTED AND TIME-BASED MEASURES OF EFFORT

Author(s): Karin Täht, Olev Must, Gerli Silm
Subject(s): Higher Education , Educational Psychology, Methodology and research technology, Evaluation research
Published by: Teaduste Akadeemia Kirjastus
Keywords: test-taking motivation; test-taking effort; test-taking time; response time effort (RTE); self-reported effort (SRE); motivation filtering; structural equation modelling;

Summary/Abstract: For the validity of test results in low-stakes testing, it is important to take into account the motivation of the test-takers. Previous studies using various testtaking motivation measures have not provided coherent results. The aim of the current study was to specify the predictive power of two particular motivation indicators: selfreported effort (SRE) and response time effort (RTE). A previous high-stakes test result and gender were also added to the model to predict cognitive test performance. The sample group consisted of 280 Estonian higher education students (mean age 21.5 years (SD = 2.1), 25% male). The model was able to explain 75.6% of the variance in the test results. The predictive power of RTE was larger, but SRE supplemented the overall predictive power of the model. Using average time spent on incorrect items also proved to be a good indicator of effort.

  • Issue Year: XXIII/2019
  • Issue No: 3
  • Page Range: 353-376
  • Page Count: 24
  • Language: English
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