Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study
| Autor: | Florian Zeller, Dorothea Krampen, Karl Schweizer, Siegbert Reiß |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Machine learning
computer.software_genre behavioral disciplines and activities Article 050105 experimental psychology Education Raven's Progressive Matrices 0504 sociology Goodness of fit Position (vector) Statistics Developmental and Educational Psychology 0501 psychology and cognitive sciences Representation (mathematics) Applied Psychology Measure (data warehouse) business.industry Applied Mathematics 05 social sciences 050401 social sciences methods Covariance Confirmatory factor analysis Test (assessment) Artificial intelligence Psychology business computer |
| Zdroj: | Educational and Psychological Measurement. 77:743-765 |
| ISSN: | 1552-3888 0013-1644 |
| Popis: | The item-position effect describes how an item’s position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine whether adapted representations are more appropriate than the existing ones. Models of confirmatory factor analysis were used for testing the different representations. Analyses were conducted by means of simulated data that followed the covariance pattern of Raven’s Advanced Progressive Matrices (APM) items. Since the item-position effect has been demonstrated repeatedly for the APM, it is a very suitable measure for our investigations. Results revealed no remarkable improvement by using an adapted representation. Possible reasons causing these results are discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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