Materials Similar to Virtual Tools for Developing SCLAs: An Example of Concentration Analysis
- 52%: Item response theory analysis of the mechanics baseline test
- 52%: Exploratory factor analysis of a Force Concept Inventory data set
- 48%: Approaches to data analysis of multiple-choice questions
- 47%: Machine learning for automated content analysis: characteristics of training data impact reliability
- 46%: Using psychometric tools as a window into students’ quantitative reasoning in introductory physics
- 44%: Criteria for collapsing rating scale responses: A case study of the CLASS
- 44%: Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory
- 44%: Conceptual Survey of Electricity and Magnetism: Analysis of the items and recommendations for improvement
- 44%: Exploratory factor analysis of the QMCA
- 43%: Rasch Analysis of the Quantum Mechanics Concept Assessment
- 42%: Rasch model based analysis of the Force Concept Inventory
- 42%: Network analysis approach to Likert-style surveys
- 42%: Analyzing the dimensionality of the Energy and Momentum Conceptual Survey using Item Response Theory
- 41%: Applying Rasch theory to evaluate the construct validity of brief electricity and magnetism assessment
- 40%: What can normalized gain reveal about individual learning on the FCI?
- 40%: Identifying a preinstruction to postinstruction factor model for the Force Concept Inventory within a multitrait item response theory framework
- 40%: Toward a valid instrument for measuring physics quantitative literacy
- 40%: Developing a STEM Transfer-Self Efficacy Survey: Methods of item generation and validation
- 39%: Seeking missing pieces in science concept assessments: Reevaluating the Brief Electricity and Magnetism Assessment through Rasch analysis
