Does Interpersonal Discussion Increase Political Knowledge? A Meta-Analysis

2019 ◽  
pp. 009365021986635 ◽  
Author(s):  
Eran Amsalem ◽  
Lilach Nir
Keyword(s):  
Meta Analysis ◽  
Political Knowledge ◽  
Network Size ◽  
Public Affairs ◽  
Effect Sizes ◽  
Research Findings ◽  
Empirical Tests ◽  
Interpersonal Discussion

Theorists have long argued that discussing public affairs with others increases citizens’ knowledge of politics. Yet, empirical tests of this claim reach contradictory results, with some studies reporting large effects of discussion on knowledge while others report small effects or fail to confirm the hypothesis. To account for this inconsistency, the current study meta-analyzes this literature. The results, based on 163 research findings from 134 independent studies ( N = 412,933), indicate positive and significant mean effect sizes of r = .15 for discussion frequency, r = .1 for discussion heterogeneity, and r = .18 for discussion network size. While all three effects are statistically significant, a meta-analytic relative weights analysis reveals that discussion heterogeneity explains little variance in political knowledge once discussion frequency and network size have been accounted for. In other words, how much citizens talk about politics matters much more than whom they talk to.

Lag as moderator meta-analysis: A methodological approach for synthesizing longitudinal data

2018 ◽  
Vol 43 (1) ◽  
pp. 80-89 ◽  
Author(s):  
Noel A. Card
Keyword(s):  
Longitudinal Data ◽  
Human Development ◽  
Longitudinal Research ◽  
Meta Analysis ◽  
Methodological Approach ◽  
Mixed Effects ◽  
Effect Sizes ◽  
Time Lags ◽  
Research Findings ◽  
The Impact

Longitudinal data are common and essential to understanding human development. This paper introduces an approach to synthesizing longitudinal research findings called lag as moderator meta-analysis (LAMMA). This approach capitalizes on between-study variability in time lags studied in order to identify the impact of lag on estimates of stability and longitudinal prediction. The paper introduces linear, nonlinear, and mixed-effects approaches to LAMMA, and presents an illustrative example (with syntax and annotated output available as online Supplementary Materials). Several extensions of the basic LAMMA are considered, including artifact correction, multiple effect sizes from studies, and incorporating age as a predictor. It is hoped that LAMMA provides a framework for synthesizing longitudinal data to promote greater accumulation of knowledge in developmental science.

scholarly journals Correlations of online social network size with well-being and distress: A meta-analysis

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Chiungjung Huang
Keyword(s):  
Social Network ◽  
Meta Analysis ◽  
Online Social Network ◽  
Well Being ◽  
Self Esteem ◽  
Network Size ◽  
Effect Sizes ◽  
Anxiety And Depression ◽  
Social Network Size ◽  
Anxiety Depression

This meta-analysis examines the correlations of the number of social network site (SNS) friends with well-being and distress, based on 90 articles consisting of 98 independent samples on correlations of online social network size (OSNS) with happiness, life satisfaction, self-esteem, anxiety, depression, combined anxiety and depression, loneliness, social anxiety, social loneliness, well-being and distress. The correlations between OSNS and well-being indicators are positively weak (from .06 to .15), whereas those for distress indicators are inconclusive (from -.19 to .08). Studies recording the OSNS based on the participant profile have larger mean effect sizes for well-being (.21) and self-esteem (.31) than those based on self-reporting (.06 and .05, respectively). The correlation between OSNS and self-esteem is stronger in samples with a smaller mean network size.

scholarly journals The Relationship Between Perceived Corporate Social Responsibility and Employee-Related Outcomes: A Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Agnieszka Paruzel ◽  
Hannah J. P. Klug ◽  
Günter W. Maier
Keyword(s):  
Job Satisfaction ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Structural Equation ◽  
Turnover Intentions ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Research Findings ◽  
Corporate Social ◽  
The Relationship

Although there is much research on the relationships of corporate social responsibility and employee-related outcomes, a systematic and quantitative integration of research findings is needed to substantiate and broaden our knowledge. A meta-analysis allows the comparison of the relations of different types of CSR on several different outcomes, for example to learn what type of CSR is most important to employees. From a theoretical perspective, social identity theory is the most prominent theoretical approach in CSR research, so we aim to investigate identification as a mediator of the relationship between CSR and employee-related outcomes in a meta-analytical mediation model. This meta-analysis synthesizes research findings on the relationship between employees' perception of CSR (people, planet, and profit) and employee-related outcomes (identification, engagement, organizational attractiveness, turnover (intentions), OCB, commitment, and job satisfaction), thereby distinguishing attitudes and behavior. A total of 143 studies (N = 89,396) were included in the meta-analysis which was conducted according to the methods by Schmidt and Hunter (except of the meta-analytical structural equation model). Mean effect sizes for the relationship between CSR and employee-related attitudes and behaviors were medium-sized to large. For attitudes, the relationships were stronger than for behavior. For specific types of CSR, average effect sizes were large. Identification mediated the relation between CSR and commitment, job satisfaction, and OCB, respectively. Based on our results, we give recommendations concerning the design of CSR initiatives in a way that benefits employees.

The Orchard Plot: Cultivating a Forest Plot for Use in Ecology, Evolution and Beyond

2019 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Malgorzata Lagisz ◽  
Rose E O'Dea ◽  
Joanna Rutkowska ◽  
Yefeng Yang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
R Package ◽  
Effect Sizes ◽  
Forest Plot ◽  
Point Estimates ◽  
Aggregate Effect ◽  
The Individual ◽  
Meta Analyses ◽  
Heterogeneous Effect ◽  
Intuitive Interpretation

‘Classic’ forest plots show the effect sizes from individual studies and the aggregate effect from a meta-analysis. However, in ecology and evolution meta-analyses routinely contain over 100 effect sizes, making the classic forest plot of limited use. We surveyed 102 meta-analyses in ecology and evolution, finding that only 11% use the classic forest plot. Instead, most used a ‘forest-like plot’, showing point estimates (with 95% confidence intervals; CIs) from a series of subgroups or categories in a meta-regression. We propose a modification of the forest-like plot, which we name the ‘orchard plot’. Orchard plots, in addition to showing overall mean effects and CIs from meta-analyses/regressions, also includes 95% prediction intervals (PIs), and the individual effect sizes scaled by their precision. The PI allows the user and reader to see the range in which an effect size from a future study may be expected to fall. The PI, therefore, provides an intuitive interpretation of any heterogeneity in the data. Supplementing the PI, the inclusion of underlying effect sizes also allows the user to see any influential or outlying effect sizes. We showcase the orchard plot with example datasets from ecology and evolution, using the R package, orchard, including several functions for visualizing meta-analytic data using forest-plot derivatives. We consider the orchard plot as a variant on the classic forest plot, cultivated to the needs of meta-analysts in ecology and evolution. Hopefully, the orchard plot will prove fruitful for visualizing large collections of heterogeneous effect sizes regardless of the field of study.

Religion and Religiosity: A Path to War or Peace

2018 ◽  
Vol 6 (2) ◽  
pp. 55-69
Author(s):  
Ghada Awada
Keyword(s):  
Qualitative Research ◽  
Literature Review ◽  
Research Method ◽  
Meta Analysis ◽  
Behavioral Model ◽  
Religious Violence ◽  
Religious Texts ◽  
Humanistic Approach ◽  
Research Findings ◽  
Divine Origin

Abstract The study was set to examine the differences between religion and religiosity and to explore how communities can be protected against religious violence. The study also intended to investigate the motives and the effect that religious violence has had throughout history. The study employed the qualitative research method whereby the researcher carried out a meta-analysis synthesis of different research findings to make conclusions and implications that could answer the study questions. Using the literature review they conducted, the researchers carried out data collection. As such, the researcher employed the bottom-up approach to identify the problem and the questions along with the investigation framework of what they decided to explore. The findings of the study revealed that religious backgrounds should be the cornerstone to realize the diff erence between religion and religiosity. Religion is of divine origin whereas religiosity is specifically a humanistic approach and a behavioral model. The religious violence phenomenon is formed by interlocking factors such as the interpretation of religious texts which clearly adopt thoughts and heritage full of violence camouflaged by religion. It is recommended that governments use a strong strategy employing the educational system, summits and dialogs to successfully overcome religious violence. The summits on religion should result in starting a dialog that ensures acceptance of the different religions.

Identification of and Correction for Publication Bias: Comment

2019 ◽  
Author(s):  
Amanda Kvarven ◽  
Eirik Strømland ◽  
Magnus Johannesson
Keyword(s):  
Publication Bias ◽  
False Positive ◽  
Large Scale ◽  
Meta Analysis ◽  
False Positive Rate ◽  
Effect Sizes ◽  
Replication Studies ◽  
Moderate Reduction ◽  
Positive Rate ◽  
Meta Analyses

Andrews & Kasy (2019) propose an approach for adjusting effect sizes in meta-analysis for publication bias. We use the Andrews-Kasy estimator to adjust the result of 15 meta-analyses and compare the adjusted results to 15 large-scale multiple labs replication studies estimating the same effects. The pre-registered replications provide precisely estimated effect sizes, which do not suffer from publication bias. The Andrews-Kasy approach leads to a moderate reduction of the inflated effect sizes in the meta-analyses. However, the approach still overestimates effect sizes by a factor of about two or more and has an estimated false positive rate of between 57% and 100%.

Effectiveness of psychological interventions to improve emotion regulation in youth - a meta-analysis

2019 ◽  
Author(s):  
Bettina Moltrecht ◽  
Jessica Deighton ◽  
Praveetha Patalay ◽  
Julian Childs
Keyword(s):  
Emotion Regulation ◽  
Emotion Dysregulation ◽  
Psychological Intervention ◽  
Meta Analysis ◽  
Age Groups ◽  
Effect Sizes ◽  
What Works ◽  
Large Heterogeneity ◽  
Larger Sample

Background: Research investigating the role of emotion regulation (ER) in the development and treatment of psychopathology has increased in recent years. Evidence suggests that an increased focus on ER in treatment can improve existing interventions. Most ER research has neglected young people, therefore the present meta-analysis summarizes the evidence for existing psychosocial intervention and their effectiveness to improve ER in youth. Methods: A systematic review and meta-analysis was conducted according to the PRISMA guidelines. Twenty-one randomized-control-trials (RCTs) assessed changes in ER following a psychological intervention in youth exhibiting various psychopathological symptoms.Results: We found moderate effect sizes for current interventions to decrease emotion dysregulation in youth (g=-.46) and small effect sizes to improve emotion regulation (g=0.36). Significant differences between studies including intervention components, ER measures and populations studied resulted in large heterogeneity. Conclusion: This is the first meta-analysis that summarizes the effectiveness for existing interventions to improve ER in youth. The results suggest that interventions can enhance ER in youth, and that these improvements correlate with improvements in psychopathology. More RCTs including larger sample sizes, different age groups and psychopathologies are needed to increase our understanding of what works for who and when.

A Meta-Analysis of the Facial Feedback Literature: Effects of Facial Feedback on Emotional Experience Are Small and Variable

2017 ◽  
Author(s):  
Nicholas Alvaro Coles ◽  
Jeff T. Larsen ◽  
Heather Lench
Keyword(s):  
Publication Bias ◽  
Emotional Experience ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Detection Methods ◽  
Feedback Effects ◽  
Facial Feedback ◽  
Facial Movements ◽  
Facial Feedback Hypothesis ◽  
Variance Estimates

The facial feedback hypothesis suggests that an individual’s experience of emotion is influenced by feedback from their facial movements. To evaluate the cumulative evidence for this hypothesis, we conducted a meta-analysis on 286 effect sizes derived from 138 studies that manipulated facial feedback and collected emotion self-reports. Using random effects meta-regression with robust variance estimates, we found that the overall effect of facial feedback was significant, but small. Results also indicated that feedback effects are stronger in some circumstances than others. We examined 12 potential moderators, and three were associated with differences in effect sizes. 1. Type of emotional outcome: Facial feedback influenced emotional experience (e.g., reported amusement) and, to a greater degree, affective judgments of a stimulus (e.g., the objective funniness of a cartoon). Three publication bias detection methods did not reveal evidence of publication bias in studies examining the effects of facial feedback on emotional experience, but all three methods revealed evidence of publication bias in studies examining affective judgments. 2. Presence of emotional stimuli: Facial feedback effects on emotional experience were larger in the absence of emotionally evocative stimuli (e.g., cartoons). 3. Type of stimuli: When participants were presented with emotionally evocative stimuli, facial feedback effects were larger in the presence of some types of stimuli (e.g., emotional sentences) than others (e.g., pictures). The available evidence supports the facial feedback hypothesis’ central claim that facial feedback influences emotional experience, although these effects tend to be small and heterogeneous.

Sign in / Sign up

Export Citation Format

Share Document