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Download full textMegan Kuhfeld; James Soland – Annenberg Institute for School Reform at Brown University, 2020
A huge portion of what we know about how humans develop, learn, behave, and interact is based on survey data. Researchers use longitudinal growth modeling to understand the development of students on psychological and social-emotional learning constructs across elementary and middle school. In these designs, students are typically administered a…
Descriptors: Elementary School Students, Middle School Students, Social Emotional Learning, Measurement Techniques
Peer reviewed
Direct linkKlassen, Robert M.; Aldhafri, Said; Mansfield, Caroline F.; Purwanto, Edy; Siu, Angela F. Y.; Wong, Marina W.; Woods-McConney, Amanda – Journal of Experimental Education, 2012
This study explored the validity of the Utrecht Work Engagement Scale in a sample of 853 practicing teachers from Australia, Canada, China (Hong Kong), Indonesia, and Oman. The authors used multigroup confirmatory factor analysis to test the factor structure and measurement invariance across settings, after which they examined the relationships…
Descriptors: Job Satisfaction, Factor Structure, Measures (Individuals), Factor Analysis
Kong, Xiaojing J.; Wise, Steven L.; Bhola, Dennison S. – Educational and Psychological Measurement, 2007
This study compared four methods for setting item response time thresholds to differentiate rapid-guessing behavior from solution behavior. Thresholds were either (a) common for all test items, (b) based on item surface features such as the amount of reading required, (c) based on visually inspecting response time frequency distributions, or (d)…
Descriptors: Test Items, Reaction Time, Timed Tests, Item Response Theory
Shin, Tacksoo – Asia Pacific Education Review, 2007
This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…
Descriptors: Multidimensional Scaling, Academic Achievement, Structural Equation Models, Causal Models
