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Data From a Validation Study of Two Psychometric Models on Test-taking Behavior.
Sören Much1,2, Augustin Mutak2, Steffi Pohl2
1Martin-Luther-Universität Halle-Wittenberg, DE.
This study introduces a new dataset on psychometric models, including response data and test-taking behavior from 1244 participants. The data supports research into cognitive abilities and motivation during assessments.
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Area of Science:
- Psychometrics
- Cognitive Psychology
- Behavioral Science
Background:
- Understanding the intraindividual speed-ability relationship and persistence is crucial for accurate psychometric model validation.
- Investigating test-taking behavior provides insights into cognitive processes during assessments.
Purpose of the Study:
- To introduce a novel dataset for validating psychometric models of speed-ability and persistence.
- To facilitate research on response processes and test-taking behavior.
Main Methods:
- A dataset was collected from 1244 participants completing a matrix reasoning test under speeded and non-speeded conditions.
- Data includes responses, response times, action sequences, and motivational measures.
- Data collection was conducted online via Prolific.
Main Results:
- The dataset comprises comprehensive response data and behavioral metrics from a large participant sample.
- It includes measures of dispositional and current motivation, effort, and concentration.
- The data is openly available for public use and further research.
Conclusions:
- This dataset offers a valuable resource for advancing psychometric model development and validation.
- It enables deeper investigation into the complex interplay of speed, ability, persistence, and motivation in cognitive testing.
- Researchers can utilize this data to explore nuanced aspects of test-taking behavior.