Making treatment effect inferences from multiple-baseline data: the utility of multilevel modeling approaches.
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Designs for Evaluating the Community-Level Impact of Comprehensive Prevention Programs: Examples from the CDC Centers of Excellence in Youth Violence PreventionStudies with staggered starts: multiple baseline designs and group-randomized trialsThe Three-Level Synthesis of Standardized Single-Subject Experimental Data: A Monte Carlo Simulation Study.Analyzing Two-Phase Single-Case Data with Non-overlap and Mean Difference Indices: Illustration, Software Tools, and Alternatives.Modeling Clustered Data with Very Few Clusters.How Can Single-Case Data Be Analyzed? Software Resources, Tutorial, and Reflections on Analysis.Estimating individual treatment effects from multiple-baseline data: a Monte Carlo study of multilevel-modeling approaches.The effectiveness of an intervention in increasing community health clinician provision of preventive care: a study protocol of a non-randomised, multiple-baseline trial.Multilevel models for multiple-baseline data: modeling across-participant variation in autocorrelation and residual variance.Constant diurnal temperature regime alters the impact of simulated climate warming on a tropical pseudoscorpion.Multilevel Models for Intensive Longitudinal Data with Heterogeneous Autoregressive Errors: The Effect of Misspecification and Correction with Cholesky TransformationDesigning studies that would address the multilayered nature of health careMindfulness-based Intervention in Elementary School Students With Anxiety and Depression: A Series of n-of-1 Trials on Effects and Feasibility.Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger Correction.Accommodating Small Sample Sizes in Three-Level Models When the Third Level is Incidental.Estimation Methods for Mixed Logistic Models with Few Clusters.Improved analyses of single cases: Dynamic multilevel analysis.The consequences of modeling autocorrelation when synthesizing single-case studies using a three-level model.Explaining variance and identifying predictors of children's communication via a multilevel model of single-case design research.Modeling external events in the three-level analysis of multiple-baseline across-participants designs: a simulation study.Multilevel meta-analysis of single-subject experimental designs: a simulation study.Differentiating between mixed-effects and latent-curve approaches to growth modeling.Seeing red: Relearning to read in a case of Balint's Syndrome.The use of multilevel analysis for integrating single-case experimental design results within a study and across studies.Synthesizing single-case studies: a Monte Carlo examination of a three-level meta-analytic model.The effectiveness of collaborative/therapeutic assessment for psychotherapy consultation: a pragmatic replicated single-case study.Single-Case Design, Analysis, and Quality Assessment for Intervention Research.
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P2860
Making treatment effect inferences from multiple-baseline data: the utility of multilevel modeling approaches.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Making treatment effect infere ...... ultilevel modeling approaches.
@ast
Making treatment effect infere ...... ultilevel modeling approaches.
@en
type
label
Making treatment effect infere ...... ultilevel modeling approaches.
@ast
Making treatment effect infere ...... ultilevel modeling approaches.
@en
prefLabel
Making treatment effect infere ...... ultilevel modeling approaches.
@ast
Making treatment effect infere ...... ultilevel modeling approaches.
@en
P2093
P2860
P356
P1476
Making treatment effect infere ...... ultilevel modeling approaches.
@en
P2093
Bethany A Bell
Gianna Rendina-Gobioff
John M Ferron
Melinda R Hess
Susan T Hibbard
P2860
P2888
P304
P356
10.3758/BRM.41.2.372
P577
2009-05-01T00:00:00Z
P6179
1005221481