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Xinxin Sun; Yongyun Shin; Jennifer Elston Lafata; Stephen W. Raudenbush – Grantee Submission, 2024
Within each of 170 physicians, patients were randomized to access e-assist, an online program that aimed to increase colorectal cancer screening (CRCS), or control. Compliance was partial: 78.34% of the experimental patients accessed e-assist while no controls were provided the access. Of interest are the average causal effect of assignment to…
Descriptors: Screening Tests, Cancer, Patients, Compliance (Psychology)
Sara Dhaene; Yves Rosseel – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In confirmatory factor analysis (CFA), model parameters are usually estimated by iteratively minimizing the Maximum Likelihood (ML) fit function. In optimal circumstances, the ML estimator yields the desirable statistical properties of asymptotic unbiasedness, efficiency, normality, and consistency. In practice, however, real-life data tend to be…
Descriptors: Factor Analysis, Factor Structure, Maximum Likelihood Statistics, Computation
Ryan J. McGill; Stefan C. Dombrowski; Gary L. Canivez – Psychology in the Schools, 2025
The present study examined the posited structure of the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) ancillary index scores with normative sample participants aged 6-16 years (N = 2200) using a series of confirmatory factor analyzes (CFA) with maximum likelihood estimation. CFA results supported the retention of auditory…
Descriptors: Children, Intelligence Tests, Test Validity, Scores
Stephen L. Wright; Michael A. Jenkins-Guarnieri – Journal of Psychoeducational Assessment, 2024
The current study sought out to advance the Social Self-Efficacy and Social Outcome Expectations scale using multiple approaches to scale development. Data from 583 undergraduate students were used in two scale development approaches: Classic Test Theory (CTT) and Item Response Theory (IRT). Confirmatory factor analysis suggested a 2-factor…
Descriptors: Measures (Individuals), Expectation, Self Efficacy, Item Response Theory