A Systematic Review and Meta-Analysis of the Effects of Outdoor Education Programs on Adolescents’ Self-Efficacy

2021 ◽  
pp. 003151252110227
Author(s):  
Bin-Bin Fang ◽  
Frank J. H. Lu ◽  
Diane L. Gill ◽  
Sean H. Liu ◽  
Theresa Chyi ◽  
...  
Keyword(s):  
Publication Bias ◽  
Effect Size ◽  
Self Efficacy ◽  
Outdoor Education ◽  
Meta Analysis ◽  
Study Groups ◽  
Medium Effect ◽  
Future Research ◽  
Education Programs ◽  
Analytic Review

While prior research has generally found Outdoor Education Programs (OEPs) to be beneficial to adolescents’ self-efficacy, we sought to conduct a meta-analytic review of prior studies in this area in order to pinpoint the key elements to OEPs’ effectiveness. Following Cooper’s guidelines for synthesis research and meta-analysis, we searched six electronic databases for relevant articles: PubMed, Sciencedirect, Medline, PsycArticles, and Behavioral Sciences Collection of EBSCO, and Eric. Selection criteria were: Populations, Interventions, Comparators, Outcomes, Study Design (PICOS), and Methodological Index for Non-randomized Studies (MINORS). We estimated the effect size of the selected studies with a 95% confidence interval (CI), estimated I-squared (I2) for heterogeneity analysis and analyzed publication bias by Egger's test. After excluding many studies, we reviewed 12 studies with 2,642 participants that were deemed to be eligible for final analysis. We discovered a high level of heterogeneity (I-squared value =82.474) in the findings of the selected studies. Our meta-analyses revealed that adolescents participating in OEPs enhanced their self-efficacy (medium effect size; Hedges’s g = 0.597) but this enhancement was moderated by participants’ mental health status, the length of the experiments, study groups, and the duration of the intervention. We found no evidence of publication bias (Egger: bias = 2.001, 95% CI = −0.736 to 4.739, p = .137). We discussed our research limitations and the theoretical and practical implications of these findings and made recommendations for future research.

scholarly journals Assessing and adjusting for publication bias in the relationship between anxiety and the error-related negativity

2018 ◽  
Author(s):  
Blair Saunders ◽  
Michael Inzlicht
Keyword(s):  
Publication Bias ◽  
Effect Size ◽  
Statistical Power ◽  
Meta Analysis ◽  
Event Related Potential ◽  
Medium Effect ◽  
Future Research ◽  
Error Related Negativity ◽  
Trim And Fill ◽  
Neural Reactivity

Many clinical neuroscience investigations have suggested that trait anxiety is associated with increased neural reactivity to mistakes in the form of an event-related potential called the error-related negativity (ERN). Several recent meta-analyses indicated that the anxiety-ERN association was of a small-to-medium effect size, however, these prior investigations did not comprehensively adjust effect sizes for publication bias. Here, in an updated meta-analysis (k=58, N=3819), we found support for an uncorrected effect size of r =-.19, and applied a range of methods to test for and correct publication bias (trim-and-fill, PET, PEESE, Peters’ test, three-parameter selection model). The majority of bias-correction methods suggested that the correlation between anxiety and the ERN is non-zero, but smaller than the uncorrected effect size (average adjusted effect size: r =-.12, range: r =-.05 to -.18). Moderation analyses also revealed more robust effects for clinical anxiety and anxious samples characterised by worry, however, it should be noted that these larger effects were also associated with elevated indicators of publication bias relative to the overall analysis. Mixed anxiety and sub-clinical anxiety were not associated with the amplitude of the ERN. Our results suggest that the anxiety-ERN relationship survives multiple corrections for publication bias, albeit not among all sub-types and populations of anxiety. Nevertheless, only 50% of the studies included in our analysis reported significant results, indicating that future research exploring the anxiety-ERN relationship would benefit from increased statistical power.

A Meta-Analysis of Facebook-Assisted Learning Outcomes and Their Gender Differences

2021 ◽  
Vol 13 (4) ◽  
pp. 63-82
Author(s):  
*Zhonggen Yu ◽  
Liheng Yu
Keyword(s):  
Gender Differences ◽  
Social Media ◽  
Learning Outcomes ◽  
Effect Size ◽  
Meta Analysis ◽  
Medium Effect ◽  
Future Research ◽  
Small Effect Size ◽  
Medium Effect Size ◽  
Media Applications

Social media applications such as Facebook have received wide attention in their use in education. However, it is still hard to arrive at a conclusion regarding whether a Facebook-assisted approach is effective in education and whether there are any significant gender differences in the learning outcomes. Based on rigid inclusion criteria, this study included 21 peer-reviewed high-quality journal articles. Through a meta-analysis using Reviewer Manager 5.3, the authors concluded that a Facebook-assisted approach could obtain significantly higher learning outcomes than the non-Facebook-assisted one with a medium effect size (d = 0.42) and that females could achieve significantly better learning outcomes than males with a very small effect size (d = -0.21) in the Facebook-assisted education. Future research could examine the effect of educational use of other social media applications, as well as in sociological, psychological, or educational dimensions.

scholarly journals The Impact of Mindfulness-Based Programmes on Self-Compassion in Nonclinical Populations: a Systematic Review and Meta-Analysis

Mindfulness ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 29-52
Author(s):  
Hannah L. Golden ◽  
Jane Vosper ◽  
Jessica Kingston ◽  
Lyn Ellett
Keyword(s):  
Publication Bias ◽  
Meta Analysis ◽  
Small Sample ◽  
Medium Effect ◽  
Future Research ◽  
Significant Heterogeneity ◽  
Self Compassion ◽  
Small Sample Sizes ◽  
Randomised Controlled ◽  
The Impact

Abstract Objectives Self-compassion has been proposed as a mechanism of change in mindfulness-based programmes (MBPs). The current study systematically reviewed the evidence for the effect of MBPs on self-compassion, in randomised controlled trials addressing broad mental health outcomes (depression, anxiety and stress) in nonclinical populations, and statistically synthesisesd these findings in a meta-analysis. Methods Three databases were systematically searched, and pre-post programme between group effect sizes (Hedges g) were calculated and synthesised using meta-analytic procedures. Correlation between change in self-compassion and distress (r) was also assessed. Moderator analyses were conducted and publication bias was assessed. Results Twenty-six studies met inclusion criteria (n = 598). A significant medium effect of pre-post change on self-compassion was found for MBPs compared to control conditions (g = 0.60, 95% CI = 0.41 to 0.80, p < 0.001). There was significant heterogeneity in the study sample, and no differences found for any of the moderators tested. There was no strong evidence for publication bias. Meta-analysis of correlation between change in self-compassion and distress was underpowered and found no significant effect. The improvement in self-compassion following MBI was not always consistent with improvements in depression or anxiety. Conclusions The results suggest that MBPs can increase self-compassion in nonclinical populations, though the moderators of this effect remain unknown. Methodological limitations include small sample sizes, over-reliance on wait-list control conditions and limitations in how self-compassion is measured. Theoretical and clinical implications of the review, and future research directions, are also discussed.

Steep discounting of delayed monetary and food rewards in obesity: a meta-analysis

2016 ◽  
Vol 46 (11) ◽  
pp. 2423-2434 ◽  
Author(s):  
M. Amlung ◽  
T. Petker ◽  
J. Jackson ◽  
I. Balodis ◽  
J. MacKillop
Keyword(s):  
Publication Bias ◽  
Effect Size ◽  
Meta Analysis ◽  
Case Control ◽  
Medium Effect ◽  
Primary Analysis ◽  
Medium Effect Size ◽  
Meta Regression ◽  
Fail Safe ◽  
The Relationship

BackgroundAn increasing number of studies have investigated delay discounting (DD) in relation to obesity, but with mixed findings. This meta-analysis synthesized the literature on the relationship between monetary and food DD and obesity, with three objectives: (1) to characterize the relationship between DD and obesity in both case–control comparisons and continuous designs; (2) to examine potential moderators, including case–control v. continuous design, money v. food rewards, sample sex distribution, and sample age (<18 v. >18 years); and (3) to evaluate publication bias.MethodFrom 134 candidate articles, 39 independent investigations yielded 29 case–control and 30 continuous comparisons (total n = 10 278). Random-effects meta-analysis was conducted using Cohen's d as the effect size. Publication bias was evaluated using fail-safe N, Begg–Mazumdar and Egger tests, meta-regression of publication year and effect size, and imputation of missing studies.ResultsThe primary analysis revealed a medium effect size across studies that was highly statistically significant (d = 0.43, p < 10−14). None of the moderators examined yielded statistically significant differences, although notably larger effect sizes were found for studies with case–control designs, food rewards and child/adolescent samples. Limited evidence of publication bias was present, although the Begg–Mazumdar test and meta-regression suggested a slightly diminishing effect size over time.ConclusionsSteep DD of food and money appears to be a robust feature of obesity that is relatively consistent across the DD assessment methodologies and study designs examined. These findings are discussed in the context of research on DD in drug addiction, the neural bases of DD in obesity, and potential clinical applications.

Effects of Weapons on Aggressive Thoughts, Angry Feelings, Hostile Appraisals, and Aggressive Behavior: A Meta-Analytic Review of the Weapons Effect Literature

2017 ◽  
Vol 22 (4) ◽  
pp. 347-377 ◽  
Author(s):  
Arlin J. Benjamin ◽  
Sven Kepes ◽  
Brad J. Bushman
Keyword(s):  
Sensitivity Analysis ◽  
Aggressive Behavior ◽  
Publication Bias ◽  
Effect Size ◽  
Meta Analysis ◽  
General Aggression Model ◽  
Analytic Review ◽  
Mere Presence ◽  
Size Estimates ◽  
Effect Literature

A landmark 1967 study showed that simply seeing a gun can increase aggression—called the “weapons effect.” Since 1967, many other studies have attempted to replicate and explain the weapons effect. This meta-analysis integrates the findings of weapons effect studies conducted from 1967 to 2017 and uses the General Aggression Model (GAM) to explain the weapons effect. It includes 151 effect-size estimates from 78 independent studies involving 7,668 participants. As predicted by the GAM, our naïve meta-analytic results indicate that the mere presence of weapons increased aggressive thoughts, hostile appraisals, and aggression, suggesting a cognitive route from weapons to aggression. Weapons did not significantly increase angry feelings. Yet, a comprehensive sensitivity analysis indicated that not all naïve mean estimates were robust to the presence of publication bias. In general, these results suggest that the published literature tends to overestimate the weapons effect for some outcomes and moderators.

scholarly journals The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review (Preprint)

2018 ◽  
Author(s):  
Qinghua Yang ◽  
Stephanie K Van Stee
Keyword(s):  
New Media ◽  
Mobile Phones ◽  
Effect Size ◽  
Large Scale ◽  
Meta Analysis ◽  
Basic Unit ◽  
Future Research ◽  
Mhealth Intervention ◽  
Analytic Review ◽  
Social Presentation

BACKGROUND As mobile technology continues expanding, researchers have been using mobile phones to conduct health interventions (mobile health—mHealth—interventions). The multiple features of mobile phones offer great opportunities to disseminate large-scale, cost-efficient, and tailored messages to participants. However, the interventions to date have shown mixed results, with a large variance of effect sizes (Cohen d=−0.62 to 1.65). OBJECTIVE The study aimed to generate cumulative knowledge that informs mHealth intervention research. The aims were twofold: (1) to calculate an overall effect magnitude for mHealth interventions compared with alternative interventions or conditions, and (2) to analyze potential moderators of mHealth interventions’ comparative efficacy. METHODS Comprehensive searches of the Communication & Mass Media Complete, PsycINFO, Web of Knowledge, Academic Search Premier, PubMed and MEDLINE databases were conducted to identify potentially eligible studies in peer-reviewed journals, conference proceedings, and dissertations and theses. Search queries were formulated using a combination of search terms: “intervention” (Title or Abstract) AND “health” (Title or Abstract) AND “*phone*” OR “black-berr*” (OR mHealth OR “application*” OR app* OR mobile OR cellular OR “short messag*” OR palm* OR iPhone* OR MP3* OR MP4* OR iPod*) (Title or Abstract). Cohen d was computed as the basic unit of analysis, and the variance-weighted analysis was implemented to compute the overall effect size under a random-effects model. Analysis of variance–like and meta-regression models were conducted to analyze categorical and continuous moderators, respectively. RESULTS The search resulted in 3424 potential studies, the abstracts (and full text, as necessary) of which were reviewed for relevance. Studies were screened in multiple stages using explicit inclusion and exclusion criteria, and citations were evaluated for inclusion of qualified studies. A total of 64 studies were included in the current meta-analysis. Results showed that mHealth interventions are relatively more effective than comparison interventions or conditions, with a small but significant overall weighted effect size (Cohen d=0.31). In addition, the effects of interventions are moderated by theoretical paradigm, 3 engagement types (ie, changing personal environment, reinforcement tracking, social presentation), mobile use type, intervention channel, and length of follow-up. CONCLUSIONS To the best of our knowledge, this is the most comprehensive meta-analysis to date that examined the overall effectiveness of mHealth interventions across health topics and is the first study that statistically tested moderators. Our findings not only shed light on intervention design using mobile phones, but also provide new directions for research in health communication and promotion using new media. Future research scholarship is needed to examine the effectiveness of mHealth interventions across various health issues, especially those that have not yet been investigated (eg, substance use, sexual health), engaging participants using social features on mobile phones, and designing tailored mHealth interventions for diverse subpopulations to maximize effects.

scholarly journals Effect Sizes, Power, and Biases in Intelligence Research: A Meta-Meta-Analysis

2018 ◽  
Author(s):  
Michele B. Nuijten ◽  
Marcel A. L. M. van Assen ◽  
Hilde Augusteijn ◽  
Elise Anne Victoire Crompvoets ◽  
Jelte M. Wicherts
Keyword(s):  
Publication Bias ◽  
Effect Size ◽  
Meta Analysis ◽  
Convincing Evidence ◽  
Small Study ◽  
Effect Sizes ◽  
Medium Effect ◽  
Average Effect ◽  
Average Effect Size ◽  
Meta Analyses

In this meta-study, we analyzed 2,442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson’s correlation of .26, and the median sample size was 60. Furthermore, across primary studies, we found a median power of 11.9% to detect a small effect, 54.5% to detect a medium effect, and 93.9% to detect a large effect. We documented differences in average effect size and median estimated power between different types of in intelligence studies (correlational studies, studies of group differences, experiments, toxicology, and behavior genetics). On average, across all meta-analyses (but not in every meta-analysis), we found evidence for small study effects, potentially indicating publication bias and overestimated effects. We found no differences in small study effects between different study types. We also found no convincing evidence for the decline effect, US effect, or citation bias across meta-analyses. We conclude that intelligence research does show signs of low power and publication bias, but that these problems seem less severe than in many other scientific fields.

scholarly journals Effect Sizes, Power, and Biases in Intelligence Research: A Meta-Meta-Analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 36
Author(s):  
Michèle B. Nuijten ◽  
Marcel A. L. M. van Assen ◽  
Hilde E. M. Augusteijn ◽  
Elise A. V. Crompvoets ◽  
Jelte M. Wicherts
Keyword(s):  
Publication Bias ◽  
Effect Size ◽  
Meta Analysis ◽  
Convincing Evidence ◽  
Small Study ◽  
Effect Sizes ◽  
Medium Effect ◽  
Average Effect ◽  
Average Effect Size ◽  
Meta Analyses

In this meta-study, we analyzed 2442 effect sizes from 131 meta-analyses in intelligence research, published from 1984 to 2014, to estimate the average effect size, median power, and evidence for bias. We found that the average effect size in intelligence research was a Pearson’s correlation of 0.26, and the median sample size was 60. Furthermore, across primary studies, we found a median power of 11.9% to detect a small effect, 54.5% to detect a medium effect, and 93.9% to detect a large effect. We documented differences in average effect size and median estimated power between different types of intelligence studies (correlational studies, studies of group differences, experiments, toxicology, and behavior genetics). On average, across all meta-analyses (but not in every meta-analysis), we found evidence for small-study effects, potentially indicating publication bias and overestimated effects. We found no differences in small-study effects between different study types. We also found no convincing evidence for the decline effect, US effect, or citation bias across meta-analyses. We concluded that intelligence research does show signs of low power and publication bias, but that these problems seem less severe than in many other scientific fields.

scholarly journals Vagally mediated heart rate variability in headache patients—a systematic review and meta-analysis

Cephalalgia ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 265-278 ◽  
Author(s):  
Julian Koenig ◽  
DeWayne P Williams ◽  
Andrew H Kemp ◽  
Julian F Thayer
Keyword(s):  
Systematic Review ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Effect Size ◽  
Meta Analysis ◽  
Medium Effect ◽  
Future Research ◽  
Vagal Activity ◽  
Headache Disorders ◽  
The Impact

Objective Vagal nerve activity—indexed by heart rate variability (HRV)—has been linked to altered pain processing and inflammation, both of which may underpin headache disorders and lead to cardiovascular disease (CVD). Here we examined the evidence for differences in parasympathetic (vagal) activity indexed by time- and frequency-domain measures of HRV in patients with headache disorders compared to healthy controls (HCs). Methods A systematic review and meta-analysis was conducted on studies investigating group differences in vagally mediated HRV (vmHRV) including time- (root-mean-square of successive R-R-interval differences (RMSSD)) and frequency- (high-frequency HRV) domain measures. Studies eligible for inclusion were identified by a systematic search of the literature, based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Results Seven studies reporting a total of 10 comparisons of patients with headache disorders (HF-HRV n = 67, RMSSD n = 122) and HCs (HF-HRV n = 64, RMSSD n = 125) were eligible for inclusion. Random-effects meta-analysis revealed a significant main effect on RMSSD ( Z = 2.03, p = 0.04; Hedges’ g = −0.63; 95% CI (−1.24, –0.02); k = 6) and similar pooled effect size estimates for HF-HRV when breathing was controlled ( g = −0.30; 95% CI (−0.69; 0.10)) but not when breathing was not controlled ( g = 0.02; 95% CI (−0.69; 0.74)). Controlling for breathing had no effect on RMSSD. Conclusion vmHRV is reduced in patients with headache disorders, findings associated with a medium effect size. Suggestions for future research in this area are provided, emphasizing a need to investigate the impact of headache disorders and commonly comorbid conditions—including mental disorders—as well as the investigation of the risk for CVD in migraine in particular. We further emphasize the need for large-scale studies to investigate HRV as a mechanism mediating the association of migraine and CVD.

A Meta-Analytic Review of the Relationship Between Learning Organization and Organizational Performance and Employee Attitudes: Using the Dimensions of Learning Organization Questionnaire

2021 ◽  
pp. 153448432098736
Author(s):  
Boreum Ju ◽  
Yunsoo Lee ◽  
Sunyoung Park ◽  
Seung Won Yoon
Keyword(s):  
Organizational Performance ◽  
National Culture ◽  
Learning Organization ◽  
Meta Analysis ◽  
Negative Relationship ◽  
Employee Attitudes ◽  
Future Research ◽  
Analytic Review ◽  
Dimensions Of Learning ◽  
The Relationship

The purpose of this meta-analysis study is to examine the correlations between the Dimensions of Learning Organization Questionnaire (DLOQ) and frequently examined outcomes including organizational performance and employee attitudes. Positive relationships were found between the DLOQ and organizational performance (e.g., financial, knowledge, and innovative performance) and employee attitudes (e.g., organizational commitment and job satisfaction) and the sub-dimensions (e.g., affective, continuance, and normative commitment), with a notable exception of a negative relationship between the DLOQ and turnover. Because the DLOQ has been used in many countries over the years, this study also examined the influence of national culture on the outcomes. Power distance moderated the relationship between the learning organization and overall organizational performance. Our meta-analytic review makes substantive contributions to the literature on the learning organization concept and the study of national culture as a significant moderator. Implications of these findings and suggestions for future research are discussed.

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