The consequences of modeling autocorrelation when synthesizing single-case studies using a three-level model.

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The consequences of modeling autocorrelation when synthesizing single-case studies using a three-level model.

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2015 nî lūn-bûn

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The consequences of modeling a ...... ies using a three-level model.

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The consequences of modeling a ...... ies using a three-level model.

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The consequences of modeling a ...... ies using a three-level model.

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P1476

The consequences of modeling a ...... dies using a three-level model

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P2093

Eun Kyeng Baek

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John M Ferron

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Merlande Petit-Bois

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S Natasha Beretvas

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P2860

Analyzing data from single-case designs using multilevel models: new applications and some agenda items for future research.

Analysis of single-case data: randomisation tests for measures of effect size.

Simulation modelling analysis for small sets of single-subject data collected over time.

The Three-Level Synthesis of Standardized Single-Subject Experimental Data: A Monte Carlo Simulation Study.

Making treatment effect inferences from multiple-baseline data: the utility of multilevel modeling approaches.

Estimating individual treatment effects from multiple-baseline data: a Monte Carlo study of multilevel-modeling approaches.

Effect size in single-case research: a review of nine nonoverlap techniques.

Characteristics of single-case designs used to assess intervention effects in 2008.

A further consideration in the application of an analysis-of-variance model for the intrasubject replication design

A standardized mean difference effect size for multiple baseline designs across individuals.

P2888

s13428-015-0612-1

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803-812

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scholarly article

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10.3758/S13428-015-0612-1

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P433

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P478

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Wim Van den Noortgate

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2016-06-01T00:00:00Z

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1003925203

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26463724

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