NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 5 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Walter P. Vispoel; Hyeri Hong; Hyeryung Lee; Terrence D. Jorgensen – Applied Measurement in Education, 2023
We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…
Descriptors: Generalizability Theory, Design, Structural Equation Models, Error of Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Kahraman, Nilufer; Brown, Crystal B. – Applied Measurement in Education, 2015
Psychometric models based on structural equation modeling framework are commonly used in many multiple-choice test settings to assess measurement invariance of test items across examinee subpopulations. The premise of the current article is that they may also be useful in the context of performance assessment tests to test measurement invariance…
Descriptors: Factor Analysis, Structural Equation Models, Medical Students, Performance Based Assessment
Peer reviewed Peer reviewed
Direct linkDirect link
Herde, Christoph Nils; Wüstenberg, Sascha; Greiff, Samuel – Applied Measurement in Education, 2016
Complex Problem Solving (CPS) is seen as a cross-curricular 21st century skill that has attracted interest in large-scale-assessments. In the Programme for International Student Assessment (PISA) 2012, CPS was assessed all over the world to gain information on students' skills to acquire and apply knowledge while dealing with nontransparent…
Descriptors: Problem Solving, Achievement Tests, Foreign Countries, International Assessment
Peer reviewed Peer reviewed
Direct linkDirect link
Willse, John T.; Goodman, Joshua T.; Allen, Nancy; Klaric, John – Applied Measurement in Education, 2008
The current research demonstrates the effectiveness of using structural equation modeling (SEM) for the investigation of subgroup differences with sparse data designs where not every student takes every item. Simulations were conducted that reflected missing data structures like those encountered in large survey assessment programs (e.g., National…
Descriptors: Structural Equation Models, Simulation, Item Response Theory, Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Zhang, Bo; Ohland, Matthew W. – Applied Measurement in Education, 2009
One major challenge in using group projects to assess student learning is accounting for the differences of contribution among group members so that the mark assigned to each individual actually reflects their performance. This research addresses the validity of grading group projects by evaluating different methods that derive individualized…
Descriptors: Monte Carlo Methods, Validity, Student Evaluation, Evaluation Methods