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Disengaged response behavior when the response button is blocked: Evaluation of a micro-intervention
Lothar Persic-Beck1, Frank Goldhammer1,2, Ulf Kroehne1
1DIPF | Leibniz Institute for Research and Information in Education, Frankfurt, Germany.
A micro-intervention blocking responses for 2 seconds in computer-based assessments minimally changed participant behavior but improved detecting rapid guessing and omissions. This aids in valid score interpretation by identifying disengaged test-takers.
Area of Science:
- Educational Measurement
- Psychometrics
- Human-Computer Interaction
Background:
- Disengaged participants in large-scale assessments may rapidly guess or skip items, compromising score validity.
- Accidental navigation and rapid responses are challenges in computer-based assessments.
- Effective methods are needed to identify and mitigate invalid response behaviors.
Purpose of the Study:
- To evaluate a micro-intervention (2-second response block) designed to prevent accidental navigation and rapid responses.
- To analyze the impact of this intervention on participant response behavior.
- To assess the intervention's utility in improving the detection of rapid guessing and omissions.
Main Methods:
- Analysis of log event sequences from a linear computer-based assessment using a finite-state machine approach.
- Classification of responses into different classes based on event sequences.
- Application of post hoc methods using response time thresholds to validate classifications and detect rapid responding.
Main Results:
- The 2-second response block interfered with rapid responses but did not significantly alter overall participant behavior.
- Rapid guesses and omissions were distinguishable from accidental clicks using log event data.
- The blocked response improved post hoc detection of rapid responding, particularly for responses near time thresholds.
Conclusions:
- While the micro-intervention had limited impact on behavior, it enhanced the accuracy of identifying rapid response strategies.
- Blocking responses may help prevent accidental item skipping, potentially increasing its adoption.
- When analyzing assessment data for rapid responses, incorporating additional log data is crucial for accurate interpretation.
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