scholarly journals Effectiveness of Social Support Group Interventions for Psychosocial Outcomes: A Meta-analytic Review

2016 ◽  
Vol 22 (2) ◽  
pp. 104-127 ◽  
Author(s):  
Arissa A. Brunelli ◽  
Gregory C. Murphy ◽  
James A. Athanasou
Keyword(s):  
Support Group ◽  
Effect Size ◽  
Psychosocial Functioning ◽  
Controlled Trial ◽  
Meta Analysis ◽  
Health Care Use ◽  
Effect Sizes ◽  
Health Conditions ◽  
Group Interventions ◽  
Analytic Review

This study investigated the effectiveness of support groups for people living with chronic ill-health conditions. Searches of the published literature were undertaken for the period 1993–2013. Papers were included if participants were between 18 and 65 years old, and study designs were either pre-test post-test one group descriptive, non-randomised group comparison, or randomised controlled trial, with reported data appropriate for meta-analysis and sufficient for estimating effect size(s). Total 19 studies were eligible in the meta-analysis, and 2,986 participants were examined. Six general outcome categories emerged from the data: (1) psychosocial functioning, (2) self-efficacy, (3) quality of life, (4) health status, (5) health behaviours and (6) health care use. In total, 155 effect sizes were calculated from the outcome measures with 15.5% resulting in a large effect size, 6% moderate effects, 39% small effects, and 39.5% producing trivial effects. The majority of the effect sizes (92%) were in the hypothesised direction. Overall, results demonstrate that self-help and support group interventions can positively influence management of chronic ill-health conditions and contribute to the desired outcome of successful adaptation.

A meta-analytic review of the relation between impulsivity-related traits and family history of alcoholism

2018 ◽  
Author(s):  
◽  
Angela Maria Haeny
Keyword(s):  
Family History ◽  
Effect Size ◽  
Sensation Seeking ◽  
Meta Analysis ◽  
Alcohol Problems ◽  
Effect Sizes ◽  
Independent Effect ◽  
Increased Risk ◽  
Analytic Review ◽  
History Of

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Extensive research provides evidence that people with a family history of alcoholism are at risk for developing alcohol use disorder (AUD). Similarly, people with impulsivity-related traits are at increased risk for developing alcohol problems. Importantly, research suggests that impulsivity mediates the relation between family history of alcoholism and the development of alcohol problems. However, impulsivity is a heterogenous construct and has been assessed with a myriad of measures. The present work is a quantitative synthesis of the literature on the relation between family history of alcoholism and impulsivity-related traits and that also examines various potential moderators of this association. Sixty-nine independent effect sizes from 65 studies (N = 11,127) qualified for the meta-analysis. The overall effect size was small-to-moderate (d = .32 [95% CI: 0.25, 0.39], k = 69), and was moderated by offspring age (Z = 3.73, p less than .001), with the effect size increasing with age. When examining specific facets of impulsivity, a small effect was found for harm avoidance (d = -.26 [95% CI: -.41, -.11], k = 10) and was moderated by family history density (Q (1) = 4.12, p = .04) such that the effect was much larger among those with more than one alcoholic family member (d = -.66 [95% CI: -1.10, -.22], k = 3). A small-to-moderate effect size was found for sensation seeking (d = .30 [95% CI: .21, .40], k = 29) and was moderated by age (Z = 3.09, p = .002), with the effect increasing with age. The effect sizes for all other facets of impulsivity were not significant. Notably, there were much fewer studies investigating other facets of impulsivity (e.g., reward dependence, lack of perseverance, lack of planning) compared to sensation seeking, limiting power to detect larger effect sizes. Findings from this review suggest the need for additional studies investigating the relation between specific facets of impulsivity (e.g., positive and negative urgency) and family history of alcoholism. In addition, this review suggests that, to some degree, we can identify phenotypic risk beyond mere family history status and, thus, inform the development of interventions for individuals with a family history of alcoholism, targeting the specific types of impulsivity manifested.

scholarly journals Effective Components of School-Based Prevention Programs for Child Abuse: A Meta-Analytic Review

2021 ◽  
Author(s):  
Jeanne Gubbels ◽  
Claudia E. van der Put ◽  
Geert-Jan J. M. Stams ◽  
Mark Assink
Keyword(s):  
Child Abuse ◽  
Program Effectiveness ◽  
Meta Analysis ◽  
Prevention Programs ◽  
Effect Sizes ◽  
Positive Effects ◽  
School Based ◽  
Analytic Review ◽  
Program Components ◽  
Self Protection

AbstractSchool-based programs seem promising for child abuse prevention. However, research mainly focused on sexual child abuse and knowledge is lacking on how individual program components contribute to the effectiveness of school-based prevention programs for any form of child abuse. This study aimed to examine the overall effect of these school-based programs on (a) children’s child abuse-related knowledge and (b) self-protection skills by conducting two three-level meta-analyses. Furthermore, moderator analyses were performed to identify how program components and delivery techniques were associated with effectiveness. A literature search yielded 34 studies (158 effect sizes; N = 11,798) examining knowledge of child abuse and 22 studies (99 effect sizes; N = 7804) examining self-protection skills. A significant overall effect was found of school-based programs on both knowledge (d = 0.572, 95% CI [0.408, 0.737], p < 0.001) and self-protection skills (d = 0.528, 95% CI [0.262, 0.794], p < 0.001). The results of the first meta-analysis on children’s child abuse knowledge suggest that program effects were larger in programs addressing social–emotional skills of children (d = 0.909 for programs with this component versus d = 0.489 for programs without this component) and self-blame (d = 0.776 versus d = 0.412), and when puppets (d = 1.096 versus d = 0.500) and games or quizzes (d = 0.966 versus d = 0.494) were used. The second meta-analysis on children’s self-protections skills revealed that no individual components or techniques were associated with increased effectiveness. Several other study and program characteristics did moderate the overall effects and are discussed. In general, school-based prevention programs show positive effects on both knowledge and self-protection skills, and the results imply that program effectiveness can be improved by implementing specific components and techniques.

Self-Esteem and Socioeconomic Status: A Meta-Analytic Review

2002 ◽  
Vol 6 (1) ◽  
pp. 59-71 ◽  
Author(s):  
Jean M. Twenge ◽  
W. Keith Campbell
Keyword(s):  
Socioeconomic Status ◽  
Young Adulthood ◽  
Asian Americans ◽  
Effect Size ◽  
Social Indicator ◽  
Middle Age ◽  
Meta Analysis ◽  
Self Esteem ◽  
Analytic Review ◽  
Over Time

Socioeconomic status (SES) has a small but significantrelationship with self-esteem (d = .15, r = .08) in a meta-analysis of 446 samples (total participant N = 312,940). Higher SES individuals report higher self-esteem. The effect size is very small in young children, increases substantially during young adulthood, continues higher until middle age, and is then smaller for adults over the age of 60. Gender interacts with birth cohort: The effect size increased over time for women but decreased over time for men. Asians and Asian Americans show a higher effect size, and occupation and education produce higher correlations with self-esteem than income does. The results are most consistent with a social indicator or salience model.

scholarly journals A Statistical Method for Synthesizing Meta-Analyses

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Liansheng Larry Tang ◽  
Michael Caudy ◽  
Faye Taxman
Keyword(s):  
Statistical Method ◽  
Effect Size ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Weighted Mean ◽  
Summary Effect ◽  
Different Types ◽  
Meta Analyses ◽  
Size Estimates ◽  
Similar Search

Multiple meta-analyses may use similar search criteria and focus on the same topic of interest, but they may yield different or sometimes discordant results. The lack of statistical methods for synthesizing these findings makes it challenging to properly interpret the results from multiple meta-analyses, especially when their results are conflicting. In this paper, we first introduce a method to synthesize the meta-analytic results when multiple meta-analyses use the same type of summary effect estimates. When meta-analyses use different types of effect sizes, the meta-analysis results cannot be directly combined. We propose a two-step frequentist procedure to first convert the effect size estimates to the same metric and then summarize them with a weighted mean estimate. Our proposed method offers several advantages over existing methods by Hemming et al. (2012). First, different types of summary effect sizes are considered. Second, our method provides the same overall effect size as conducting a meta-analysis on all individual studies from multiple meta-analyses. We illustrate the application of the proposed methods in two examples and discuss their implications for the field of meta-analysis.

scholarly journals Changes of Ankle Dorsiflexion Using Compression Tissue Flossing: A Systematic Review and Meta-Analysis

2020 ◽  
pp. 1-9
Author(s):  
Devin S. Kielur ◽  
Cameron J. Powden
Keyword(s):  
Confidence Interval ◽  
Range Of Motion ◽  
Effect Size ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Lower Extremity Injury ◽  
Level Of Evidence ◽  
Physically Active ◽  
Evidence Database

Context: Impaired dorsiflexion range of motion (DFROM) has been established as a predictor of lower-extremity injury. Compression tissue flossing (CTF) may address tissue restrictions associated with impaired DFROM; however, a consensus is yet to support these effects. Objectives: To summarize the available literature regarding CTF on DFROM in physically active individuals. Evidence Acquisition: PubMed and EBSCOhost (CINAHL, MEDLINE, and SPORTDiscus) were searched from 1965 to July 2019 for related articles using combination terms related to CTF and DRFOM. Articles were included if they measured the immediate effects of CTF on DFROM. Methodological quality was assessed using the Physiotherapy Evidence Database scale. The level of evidence was assessed using the Strength of Recommendation Taxonomy. The magnitude of CTF effects from pre-CTF to post-CTF and compared with a control of range of motion activities only were examined using Hedges g effect sizes and 95% confidence intervals. Randomeffects meta-analysis was performed to synthesize DFROM changes. Evidence Synthesis: A total of 6 studies were included in the analysis. The average Physiotherapy Evidence Database score was 60% (range = 30%–80%) with 4 out of 6 studies considered high quality and 2 as low quality. Meta-analysis indicated no DFROM improvements for CTF compared with range of motion activities only (effect size = 0.124; 95% confidence interval, −0.137 to 0.384; P = .352) and moderate improvements from pre-CTF to post-CTF (effect size = 0.455; 95% confidence interval, 0.022 to 0.889; P = .040). Conclusions: There is grade B evidence to suggest CTF may have no effect on DFROM when compared with a control of range of motion activities only and results in moderate improvements from pre-CTF to post-CTF. This suggests that DFROM improvements were most likely due to exercises completed rather than the band application.

Effect Sizes: Conventional Choices and Calculations

2013 ◽  
Author(s):  
Michael S. Rosenberg ◽  
Hannah R. Rothstein ◽  
Jessica Gurevitch
Keyword(s):  
Critical Point ◽  
Effect Size ◽  
Evolutionary Biology ◽  
Meta Analysis ◽  
Statistical Parameter ◽  
Effect Sizes ◽  
Common Effect ◽  
Inference Methods ◽  
Conventional Effect ◽  
Estimate Effect Size

One of the fundamental concepts in meta-analysis is that of the effect size. An effect size is a statistical parameter that can be used to compare, on the same scale, the results of different studies in which a common effect of interest has been measured. This chapter describes the conventional effect sizes most commonly encountered in ecology and evolutionary biology, and the types of data associated with them. While choice of a specific measure of effect size may influence the interpretation of results, it does not influence the actual inference methods of meta-analysis. One critical point to remember is that one cannot combine different measures of effect size in a single meta-analysis: once you have chosen how you are going to estimate effect size, you need to use it for all of the studies to be analyzed.

M. Meta-Analysis

2021 ◽  
pp. 163-165
Author(s):  
Noémie Laurens
Keyword(s):  
Literature Review ◽  
Empirical Research ◽  
Effect Size ◽  
Meta Analysis ◽  
Research Synthesis ◽  
Effect Sizes ◽  
Primary Research ◽  
Unit Of Analysis ◽  
Research Studies

This chapter illustrates meta-analysis, which is a specific type of literature review, and more precisely a type of research synthesis, alongside traditional narrative reviews. Unlike in primary research, the unit of analysis of a meta-analysis is the results of individual studies. And unlike traditional reviews, meta-analysis only applies to: empirical research studies with quantitative findings hat are conceptually comparable and configured in similar statistical forms. What further distinguishes meta-analysis from other research syntheses is the method of synthesizing the results of studies — i.e. the use of statistics and, in particular, of effect sizes. An effect size represents the degree to which the phenomenon under study exists.

scholarly journals A-17 Category Test performance in individuals with alcohol versus methamphetamine dependence

2019 ◽  
Vol 34 (6) ◽  
pp. 876-876
Author(s):  
A Walker ◽  
A Hauson ◽  
S Sarkissians ◽  
A Pollard ◽  
C Flora-Tostado ◽  
...  
Keyword(s):  
Effect Size ◽  
Test Performance ◽  
Neuropsychological Functioning ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Significant Heterogeneity ◽  
Category Test ◽  
Methamphetamine Dependence ◽  
Significant Difference ◽  
Axis I

Abstract Objective The Category Test (CT) has consistently been found to be sensitive at detecting the effects of alcohol on the brain. However, this test has not been as widely used in examining the effects of methamphetamine. The current meta-analysis compared effect sizes of studies that have examined performance on the CT in alcohol versus methamphetamine dependent participants. Data selection Three researchers independently searched nine databases (e.g., PsycINFO, Pubmed, ProceedingsFirst), extracted required data, and calculated effect sizes. Inclusion criteria identified studies that had (a) compared alcohol or methamphetamine dependent groups to healthy controls and (b) matched groups on either age, education, or IQ (at least 2 out of 3). Studies were excluded if participants were reported to have Axis I diagnoses (other than alcohol or methamphetamine dependence) or comorbidities known to impact neuropsychological functioning. Sixteen articles were coded and analyzed for the current study. Data synthesis Alcohol studies showed a large effect size (g = 0.745, p < 0.001) while methamphetamine studies evidenced a moderate effect size (g = 0.406, p = 0.001); both without statistically significant heterogeneity (I2 = 0). Subgroup analysis revealed a statistically significant difference between the effect sizes from alcohol versus methamphetamine studies (Q-between = 5.647, p = 0.017). Conclusions The CT is sensitive to the effects of both alcohol and methamphetamine and should be considered when examining dependent patients who might exhibit problem solving, concept formation, and set loss difficulties in everyday living.

Test Frequency, Stakes, and Feedback in Student Achievement: A Meta-Analysis

2019 ◽  
Vol 43 (3-4) ◽  
pp. 111-151 ◽  
Author(s):  
Richard P. Phelps
Keyword(s):  
Student Achievement ◽  
Early Childhood ◽  
Effect Size ◽  
English Language ◽  
Variance Estimation ◽  
Meta Analysis ◽  
The United States ◽  
Research Literature ◽  
Effect Sizes ◽  
Test Frequency

Background: Test frequency, stakes associated with educational tests, and feedback from test results have been identified in the research literature as relevant factors in student achievement. Objectives: Summarize the separate and joint contribution to student achievement of these three treatments and their interactions via multivariable meta-analytic techniques using a database of English-language studies spanning a century (1910–2010), comprising 149 studies and 509 effect size estimates. Research design: Analysis employed robust variance estimation. Considered as potential moderators were hundreds of study features comprising various test designs and test administration, demographic, and source document characteristics. Subjects: Subjects were students at all levels, from early childhood to adult, mostly from the United States but also eight other countries. Results: We find a summary effect size of 0.84 for the three treatments collectively. Further analysis suggests benefits accrue to the incremental addition of combinations of testing and feedback or stakes and feedback. Moderator analysis shows higher effect sizes associated with the following study characteristics: more recent year of publication, summative (rather than formative) testing, constructed (rather than selected) item response formats, alignment of subject matter between pre- and posttests, and recognition/recall (rather than core subjects, art, or physical education). Conversely, lower effect sizes are associated with postsecondary students (rather than early childhood–upper secondary), special education population, larger study population, random assignment (rather than another sampling method), use of shadow test as outcome measure, designation of individuals (rather than groups) as units of analysis, and academic (rather than corporate or government) research.

Action observation therapy for improving arm function, walking ability, and daily activity performance after stroke: a systematic review and meta-analysis

2019 ◽  
Vol 33 (8) ◽  
pp. 1277-1285 ◽  
Author(s):  
Tzu-Hsuan Peng ◽  
Jun-Ding Zhu ◽  
Chih-Chi Chen ◽  
Ruei-Yi Tai ◽  
Chia-Yi Lee ◽  
...  
Keyword(s):  
Effect Size ◽  
Action Observation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Gait Velocity ◽  
Walking Ability ◽  
Stroke Patients ◽  
Large Effect Size ◽  
Subgroup Analyses ◽  
Activity Performance

Objective:This study was to investigate the effectiveness of action observation therapy on arm and hand motor function, walking ability, gait performance, and activities of daily living in stroke patients.Design:Systematic review and meta-analysis of randomized controlled trials.Data sources:Searches were completed in January 2019 from electronic databases, including PubMed, Scopus, the Cochrane Library, and OTseeker.Review methods:Two independent reviewers performed data extraction and evaluated the study quality by the PEDro scale. The pooled effect sizes on different aspects of outcome measures were calculated. Subgroup analyses were performed to examine the impact of stroke phases on treatment efficacy.Results:Included were 17 articles with 600 patients. Compared with control treatments, the action observation therapy had a moderate effect size on arm and hand motor outcomes (Hedge’s g = 0.564; P < 0.001), a moderate to large effect size on walking outcomes (Hedge’s g = 0.779; P < 0.001), a large effect size on gait velocity (Hedge’s g = 0.990; P < 0.001), and a moderate to large effect size on activities of daily function (Hedge’s g = 0. 728; P = 0.004). Based on subgroup analyses, the action observation therapy showed moderate to large effect sizes in the studies of patients with acute/subacute stroke or those with chronic stroke (Hedge’s g = 0.661 and 0.783).Conclusion:This review suggests that action observation therapy is an effective approach for stroke patients to improve arm and hand motor function, walking ability, gait velocity, and daily activity performance.

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