login
-
create an account
-
help
AAPT ComPADRE
Events
Collaborate
About
Contact Us
home
»
Detail Page
» Similar Materials
Materials Similar to
Longitudinal predictions using regression-corrected grouping to reduce regression to the mean
38%
:
Beyond linear regression: A reference for analyzing common data types in discipline based education research
35%
:
Examining the relation of correct knowledge and misconceptions using the nominal response model
33%
:
Data sharing model for physics education research using the 70 000 response Colorado Learning Attitudes about Science Survey for Experimental Physics dataset
31%
:
Approaches to data analysis of multiple-choice questions
30%
:
Determining The Various Perspectives And Consensus Within A Classroom Using Q Methodology
30%
:
Examining evolving performance on the Force Concept Inventory using factor analysis
29%
:
Showing the dynamics of student thinking as measured by the FMCE
29%
:
Item response theory analysis of the mechanics baseline test
29%
:
Mapping university students’ epistemic framing of computational physics using network analysis
28%
:
Evaluation of high school Cambodian students’ comprehension of the projectile trajectory using the model analysis technique
28%
:
Analyzing Multiple-Choice-Multiple-Response Items Using Item Response Theory
27%
:
What can normalized gain reveal about individual learning on the FCI?
27%
:
Using psychometric tools as a window into students’ quantitative reasoning in introductory physics
26%
:
Framework for evaluating statistical models in physics education research
26%
:
Assessing the longitudinal measurement invariance of the Force Concept Inventory and the Conceptual Survey of Electricity and Magnetism
26%
:
Unsupervised quantitative methods to analyze student reasoning lines: Theoretical aspects and examples
26%
:
Tools for identifying courses that support development of expertlike physics attitudes
26%
:
Replicating analyses of item response curves using data from the Force and Motion Conceptual Evaluation
26%
:
Using IBM’s Watson to automatically evaluate student short answer responses