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Validation of Embedded Experience Sampling (EES) for Measuring Non-cognitive Facets of Problem-Solving Competence in
Andreas Rausch1, Kristina Kögler2, Jürgen Seifried3
1Economic and Business Education - Workplace Learning, Business School, University of Mannheim, Mannheim, Germany.
We developed Embedded Experience Sampling (EES), a new method to measure non-cognitive aspects of competence. EES collects data during assessments, proving valid and reliable for measuring skills beyond cognitive abilities.
Area of Science:
- Educational Psychology
- Psychometrics
- Vocational Education and Training (VET)
Background:
- Domain-specific problem-solving competence includes non-cognitive facets like interest and self-concept.
- Non-cognitive facets are often neglected or measured with detached questionnaires.
- Integrated measurement of cognitive and non-cognitive facets is needed.
Purpose of the Study:
- To develop and test the Embedded Experience Sampling (EES) method for measuring non-cognitive facets of competence.
- To evaluate the feasibility, validity, and potential biases of the EES method.
- To compare EES data with other measurement sources.
Main Methods:
- Developed and implemented the EES method in three studies within commercial vocational education and training (VET).
- Collected data during scenario-based, low-stakes assessments using embedded EES items.
- Employed a multitrait-multimethod approach and Item Response Theory (IRT) for validity analysis.
Main Results:
- EES events were perceived positively by test-takers, with no significant social desirability bias or additional burden.
- Construct validity of EES was supported by correlation analysis and IRT modeling.
- EES data showed substantial correlations with test motivation but minimal correlation with generalized retrospective self-reports.
Conclusions:
- Embedded Experience Sampling (EES) offers a valid alternative for measuring non-cognitive facets of competence in low-stakes assessments.
- EES data provides unique insights into affective and motivational dispositions during task performance.
- The method's self-report nature may limit its use in high-stakes testing scenarios.
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