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Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
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Silva, Macarena; Cain, Kate – Journal of Educational Psychology, 2015
This study of 4- to 6-year-olds had 2 aims: first, to determine how lower level comprehension skills (receptive vocabulary and grammar) and verbal memory support early higher level comprehension skills (inference and literal story comprehension), and second, to establish the predictive power of these skills on subsequent reading comprehension.…
Descriptors: Young Children, Receptive Language, Vocabulary, Grammar
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Byrne, Marann; Chughtai, Aamir; Flood, Barbara; Murphy, Evelyn; Willis, Pauline – International Journal of Educational Management, 2013
Purpose: The purpose of this paper is to assess the levels of burnout experienced by accounting and finance academics in Ireland. Design/methodology/approach: Data for this cross-sectional survey study were collected from 100 accounting and finance academics teaching in Irish third level institutions. Independent sample "t"-tests, one…
Descriptors: College Faculty, Accounting, Teaching Methods, Statistical Analysis
Mislevy, Robert J. – 1985
A method for drawing inferences from complex samples is based on Rubin's approach to missing data in survey research. Standard procedures for drawing such inferences do not apply when the variables of interest are not observed directly, but must be inferred from secondary random variables which depend on the variables of interest stochastically.…
Descriptors: Algorithms, Data Interpretation, Estimation (Mathematics), Latent Trait Theory