Missing data: Our view of the state of the art.
Joseph L. Schafer,John W. Graham +1 more
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2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI) are presented and may eventually extend the ML and MI methods that currently represent the state of the art.Abstract:
Statistical procedures for missing data have vastly improved, yet misconception and unsound practice still abound. The authors frame the missing-data problem, review methods, offer advice, and raise issues that remain unresolved. They clear up common misunderstandings regarding the missing at random (MAR) concept. They summarize the evidence against older procedures and, with few exceptions, discourage their use. They present, in both technical and practical language, 2 general approaches that come highly recommended: maximum likelihood (ML) and Bayesian multiple imputation (MI). Newer developments are discussed, including some for dealing with missing data that are not MAR. Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art.read more
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Pain acceptance moderates the relation between pain and negative affect in female osteoarthritis and fibromyalgia patients
TL;DR: Findings suggest that pain patients with greater capacity to accept pain may be emotionally resilient in managing their condition, such that expected increases in NA during pain exacerbations were buffered by higher levels of pain acceptance.
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Disturbed sleep among COPD patients is longitudinally associated with mortality and adverse COPD outcomes
Theodore A. Omachi,Paul D. Blanc,David M. Claman,Hubert Chen,Edward H. Yelin,Laura Julian,Patricia P. Katz +6 more
TL;DR: Disturbed sleep is cross-sectionally associated with worse COPD and is longitudinally predictive of COPD exacerbations, emergency health care utilization, and mortality.
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Watching and drinking: Expectancies, prototypes, and friends' alcohol use mediate the effect of exposure to alcohol use in movies on adolescent drinking
Sonya Dal Cin,Keilah A. Worth,Meg Gerrard,Frederick X. Gibbons,Mike Stoolmiller,Thomas A. Wills,James D. Sargent +6 more
TL;DR: Alcohol prototypes, expectancies, willingness, and friends' use of alcohol were significant mediators of the relation between movie alcohol exposure and alcohol consumption, even after controlling for demographic, child, and family factors associated with both movie exposure andalcohol consumption.
Journal ArticleDOI
Growth and predictors of change in English language learners' reading comprehension
Fataneh Farnia,Esther Geva +1 more
TL;DR: The authors modelled reading comprehension trajectories in Grades 4 to 6 English language learners (ELLs = 400), with different home language backgrounds, and in English monolinguals (EL1s = 153), and examined an augmented Simple View of Reading model.
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Students' Self-Reported Effort and Time on Homework in Six School Subjects: Between-Students Differences and Within-Student Variation.
Ulrich Trautwein,Oliver Lüdtke +1 more
Abstract: Effort on homework has a profound impact on student achievement. Researchers typically use an interindividual research design to explain homework effort. In this study with a total of 511 students from Grades 8 and 9, an interindividual perspective (focus on between-students differences) was combined with an intraindividual perspective (focus on within-student differences). Multilevel modeling showed that students' homework effort was a function of between-students differences in conscientiousness and within-student differences in perceived homework characteristics (subject-specific quality of tasks and homework control), perceived parental valuation of specific subjects, and homework motivation (subject-specific expectancy and value beliefs). Furthermore, a significant cross-level interaction indicated that perceived homework control by teachers had a stronger effect on students low in conscientiousness than on their more conscientious peers.
References
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Maximum likelihood from incomplete data via the EM algorithm
Book
Generalized Linear Models
Peter McCullagh,John A. Nelder +1 more
TL;DR: In this paper, a generalization of the analysis of variance is given for these models using log- likelihoods, illustrated by examples relating to four distributions; the Normal, Binomial (probit analysis, etc.), Poisson (contingency tables), and gamma (variance components).
Book
Statistical Analysis with Missing Data
TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book
Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Book
Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
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