Materials Similar to Finding meaningful search features for automated analysis of short responses to conceptual questions
- 51%: Item response theory analysis of the mechanics baseline test
- 45%: Conceptual Survey of Electricity and Magnetism: Analysis of the items and recommendations for improvement
- 44%: Visualizing patterns in CSEM responses to assess student conceptual understanding
- 40%: The Effect of Question Order on Responses to Multiple-choice Questions
- 40%: Approaches to data analysis of multiple-choice questions
- 40%: Student performance on conceptual questions: Does instruction matter?
- 40%: Exploratory factor analysis of a Force Concept Inventory data set
- 39%: Epistemic Games Analysis of Common Exam Questions Across Course Formats
- 39%: Criteria for collapsing rating scale responses: A case study of the CLASS
- 38%: Multidimensional Item Response Theory and the Conceptual Survey of Electricity and Magnetism
- 38%: Multiple-Response Assessment for Upper-division Electrodynamics
- 37%: Exploratory factor analysis of the QMCA
- 36%: Applying Rasch theory to evaluate the construct validity of brief electricity and magnetism assessment
- 36%: Assessing the assessment: Mutual information between response choices and factor scores
- 36%: Testing the test: Item response curves and test quality
- 35%: Coupled multiple-response versus free-response conceptual assessment: An example from upper-division physics
- 34%: Multiple-choice Assessment for Upper-division Electricity and Magnetism
- 34%: Rasch model based analysis of the Force Concept Inventory
- 34%: Can multiple-choice questions simulate free-response questions?