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Ayse Busra Ceviren – ProQuest LLC, 2024
Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…
Descriptors: Structural Equation Models, Error of Measurement, Statistical Bias, Monte Carlo Methods
Kazuki Hori – ProQuest LLC, 2021
Educational researchers are often interested in phenomena that unfold over time within a person and at the same time, relationships between their characteristics that are stable over time. Since variables in a longitudinal study reflect both within- and between-person effects, researchers need to disaggregate them to understand the phenomenon of…
Descriptors: Time, Structural Equation Models, Monte Carlo Methods, Simulation
Rachel A. Gross – ProQuest LLC, 2020
The present study was motivated by the theory-method mismatch between heterotypic continuity (aspects of development that manifest differently across the lifespan thus cannot be measured the same way over time) and longitudinal measurement equivalence (the statistical assumption that the developmental phenomenon studied is measured on the same…
Descriptors: Robustness (Statistics), Structural Equation Models, Longitudinal Studies, Error of Measurement
Guerere, Claudia – ProQuest LLC, 2013
Scores from value-added models (VAMs), as used for educational accountability, represent the educational effect teachers have on their students. The use of these scores in teacher evaluations for high-stakes decision making is new for the State of Florida. Validity evidence that supports or questions the use of these scores is critically needed.…
Descriptors: Teacher Evaluation, Accountability, School Districts, Validity
Wang, Huan – ProQuest LLC, 2010
Multiple uses of the same assessment may present challenges for both the design and use of an assessment. Little advice, however, has been given to assessment developers as to how to understand the phenomena of multiple assessment use and meet the challenges these present. Particularly problematic is the case in which an assessment is used for…
Descriptors: Test Use, Testing Programs, Program Effectiveness, Test Construction
Rios-Uribe, Carlos Andres – ProQuest LLC, 2009
Measurements of social constructs that evaluate natural hazard preparedness are important to decrease natural hazard vulnerability. Preparedness reduces natural hazard impacts and human vulnerability. Investment in education and education research contribute to human sustainable development and natural hazard preparedness. Faced with other needs,…
Descriptors: Learning Theories, Structural Equation Models, Validity, Physical Geography