Introduction to Multilevel Meta Analysis

We analyzed the effect sizes of reading intervention programs for ELLs and explored the variables that affect reading interventions using a multilevel meta-analysis.

The main multilevel meta-analysis model including all effects sizes (262 across 12 clusters) revealed that participants tended to underpredict the number of repetitions to task failure by 0.

We examined 802 effect sizes from 478 samples in 284 studies in a multilevel meta-analysis.

Multilevel meta-analysis was adopted.

A multilevel meta-analysis will examine the overall effects, between-study effects, and within-study effects of available evidence for PTSD treatments in military populations.

Design Two stage, time series approach, with overdispersed generalised linear models and multilevel meta-analysis.

We combined evidence from eligible studies using a structural equation modelling approach to multilevel meta-analysis.

A multilevel meta-analysis was conducted.

To this end, we conducted a multilevel meta-analysis based on 27 studies, 54 effect sizes, and a total of 592 participants.

A multilevel meta-analysis was conducted to pool the prevalence estimates, and the risk of PIM use was reported as a relative risk (RR) with a 95% confidence interval (CI).

To examine possible explanations for the inconsistent findings in this body of research, we conducted a multilevel meta-analysis synthesizing 336 effect sizes from 33 independent samples of human newborns, reported in 26 articles.

This study used multilevel meta-analysis to examine the impact of ST misspecification in research design on ST outcomes.

A multilevel meta-analysis was used, which included effect sizes for both BPV and mean BP, with a combined end point of dementia or cognitive impairment as primary outcome.

Random effect models and multilevel meta-analysis were used to estimate the pooled effects.

The main multilevel meta-analysis model including all effects sizes (278 across 50 clusters [median = 4, range = 1 to 18 effects per cluster) revealed a trivial point estimate with high precision for the interval estimate [− 0.

Methods A multilevel meta-analysis with a robust random-effects meta-regression model was used to pool the standardised mean differences (SMD) of knee mechanics between pre-planned and unplanned tasks.

Method: We performed a systematic review and Bayesian multilevel meta-analysis of studies reporting response latencies in infant-adult dyadic interactions.

Methods Bayesian multilevel meta-analysis models were used to estimate pooled effects and express the placebo effect as a percentage of the overall intervention effect.

A random-effects multilevel meta-analysis was conducted.

This study reports a comprehensive multilevel meta-analysis on the effectiveness of progress feedback in psychological treatments in curative care.

We searched five databases (four English and one Chinese) and identified 45 studies; 29 studies were included in a multilevel meta-analysis (92 effect sizes; total N total = 3,892; M child age = 6.

Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies.

A multilevel meta-analysis revealed a moderate overall interleaving effect (Hedges' g = 0.

Effect sizes for the problem-relevant outcome measures were synthesized via multilevel meta-analysis.

We performed a systematic review and multilevel meta-analysis of randomized controlled trials.

This mixed methods systematic review applies multilevel meta-analysis and qualitative meta-synthesis to answer: What is known about the effectiveness of IY TCM, and how do people experience the program and its effects? We included RCTs comparing IY TCM against treatment-as-usual/waitlist controls and interview/focus group studies with stakeholders.

MethodsA multilevel meta-analysis with random effects meta-regression model was used to pool the standardized mean differences (SMD) between RE and no-exercise (NEX) as well as between RE and aerobic exercise (AE).

The present study focuses on use of the multilevel meta-analysis model (Van den Noortgate, López-López, Marín-Martínez, & Sánchez-Meca, 2013) and robust variance estimation (Hedges, Tipton, & Johnson, 2010) for handling this dependency, as well as for estimating outcome-specific mean effect sizes.

A multilevel meta-analysis was conducted of studies in which static and dynamic risk factors were investigated as predictors of violent and/or general recidivism in forensic outpatients.

In order to increase the understanding of these associations, a multilevel meta-analysis was performed, which allowed for including multiple effect sizes from each study.

We investigate the effect of personality on prosocial behavior in a Bayesian multilevel meta-analysis (MLMA) of 15 published, interdisciplinary experimental studies.

Methods A multilevel meta-analysis with a robust random effects meta-regression model was used to pool the standardized mean differences (SMD) between FR and no-exercise (NEX) as well as FR and stretching.

A multilevel meta-analysis of 139 studies was used to quantify the effects of music listening in exercise and sport domains.