Missing data: Our view of the state of the art.
Joseph L. Schafer,John W. Graham +1 more
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TLDR
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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Scale development: ten main limitations and recommendations to improve future research practices
Fabiane Frota da Rocha Morgado,Juliana Fernandes Filgueiras Meireles,Clara Mockdece Neves,Ana Carolina Soares Amaral,Maria Elisa Caputo Ferreira +4 more
TL;DR: A systematic review of the published literature regarding current practices of the scale development process is provided to assess the main limitations reported by the authors in these processes, and a set of recommendations for best practices in future scale development research is provided.
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Early intervention for adolescents with borderline personality disorder using cognitive analytic therapy: randomised controlled trial.
Andrew M. Chanen,Henry J. Jackson,Louise McCutcheon,Martina Jovev,Paul Dudgeon,Hok Pan Yuen,Dominic Germano,Helen Nistico,Emma McDougall,Caroline Weinstein,Verity Clarkson,Patrick D. McGorry +11 more
TL;DR: Both CAT and GCC are effective in reducing externalising psychopathology in teenagers with sub-syndromal or full-Syndrome bipolar personality disorder.
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Housing Status and HIV Risk Behaviors: Implications for Prevention and Policy
TL;DR: Housing as a contextual factor affecting drug and sexual risk behaviors among HIV positive people using pooled interview data from 2149 clients presenting for services at 16 medical and social service agencies participating in a multi-site evaluation study shows that change in housing status was associated with change in risk behaviors.
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Social competence, social support, and academic achievement in minority, low-income, urban elementary school children.
TL;DR: In this article, social-emotional competence and social support were hypothesized to have strong influences on academic trajectories during the critical period of academic skill acquisition, and the findings suggest that school psychologists and others designing interventions to improve achievement of disadvantaged students should address socialemotional competencies and classroom climate, especially teacher support of students.
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New dimensions in the quantitative classification of mental illness.
TL;DR: The findings suggest that many PDs can be placed in Axis I with related clinical disorders, and that unipolar depression may be better placed with anxiety disorders than with bipolar disorders.
References
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Journal ArticleDOI
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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