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Leite, Walter L.; Sandbach, Robert; Jin, Rong; MacInnes, Jann W.; Jackman, M. Grace-Anne – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Because random assignment is not possible in observational studies, estimates of treatment effects might be biased due to selection on observable and unobservable variables. To strengthen causal inference in longitudinal observational studies of multiple treatments, we present 4 latent growth models for propensity score matched groups, and…
Descriptors: Structural Equation Models, Probability, Computation, Observation
Poncy, Brian C.; Skinner, Christopher H.; Axtell, Philip K. – Journal of Psychoeducational Assessment, 2005
Generalizability (G) theory was used with a sample of 37 third-grade students to assess the variability in words correct per minute (WCPM) scores caused by student skill and passage variability. Reliability-like coefficients and the SEM based on a specific number of assessments using different combinations of passages demonstrated how manipulating…
Descriptors: Generalizability Theory, Curriculum Based Assessment, Error of Measurement, Reliability