Data From a Validation Study of Two Psychometric Models on Test-taking Behavior

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.