scholarly journals The Relationship between Family Violence and Self-Control in Adolescence: A Multi-Level Meta-Analysis

2018 ◽  
Author(s):  
Yayouk E. Willems ◽  
Jian-bin Li ◽  
Anne M. Hendriks ◽  
Meike Bartels ◽  
Catrin Finkenauer
Keyword(s):  
Family Violence ◽  
Statistical Power ◽  
Meta Analysis ◽  
Self Control ◽  
Effect Sizes ◽  
Future Research ◽  
Cross Sectional ◽  
Multi Level ◽  
Meta Analyses ◽  
Low Self Control

Theoretical studies propose an association between family violence and low self-control in adolescence, yet empirical findings of this association are inconclusive. The aim of the present research was to systematically summarize available findings on the relation between family violence and self-control across adolescence. We included 27 studies with 143 effect sizes, representing more than 25,000 participants of eight countries from early to late adolescence. Applying a multi-level meta-analyses, taking dependency between effect sizes into account while retaining statistical power, we examined the magnitude and direction of the overall effect size. Additionally, we investigated whether theoretical moderators (e.g., age, gender, country), and methodological moderators (cross-sectional/longitudinal, informant) influenced the magnitude of the association between family violence and self-control. Our results revealed that family violence and self-control have a small to moderate significant negative association (r = -.191). This association did not vary across gender, country, and informants. The strength of the association, however, decreased with age and in longitudinal studies. This finding provides evidence that researchers and clinicians may expect low self-control in the wake of family violence, especially in early adolescence. Recommendations for future research in the area are discussed.

scholarly journals The Relationship between Family Violence and Self-Control in Adolescence: A Multi-Level Meta-Analysis

2018 ◽  
Vol 15 (11) ◽  
pp. 2468 ◽  
Author(s):  
Yayouk Willems ◽  
Jian-Bin Li ◽  
Anne Hendriks ◽  
Meike Bartels ◽  
Catrin Finkenauer
Keyword(s):  
Family Violence ◽  
Statistical Power ◽  
Meta Analysis ◽  
Time Lag ◽  
Self Control ◽  
Effect Sizes ◽  
Future Research ◽  
Multi Level ◽  
Low Self Control ◽  
The Relationship

Theoretical studies propose an association between family violence and low self-control in adolescence; however, empirical findings of this association are inconclusive. The aim of the present research was to systematically summarize available findings on the relation between family violence and self-control across adolescence. We included 28 studies with 143 effect sizes, representing more than 25,000 participants of eight countries from early to late adolescence. Applying a three-level meta-analysis, taking dependency between effect sizes into account while retaining statistical power, we examined the magnitude and direction of the overall effect size. Additionally, we investigated whether theoretical moderators (e.g., age, gender, country), and methodological moderators (e.g., time lag between family violence and self-control, informant) influenced the magnitude of the association between family violence and self-control. Our results revealed that family violence and self-control have a small to moderate significant negative association (r = −0.191). This association did not vary across gender, country, and informants. The strength of the association, however, decreased with age and in longitudinal studies. This finding provides evidence that researchers and clinicians may expect low self-control in the wake of family violence, especially in early adolescence. Recommendations for future research in the area are discussed.

Meta-Analyses as a Multi-Level Model

2019 ◽  
pp. 109442811985747
Author(s):  
Janaki Gooty ◽  
George C. Banks ◽  
Andrew C. Loignon ◽  
Scott Tonidandel ◽  
Courtney E. Williams
Keyword(s):  
Educational Psychology ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Independence Assumption ◽  
The Social ◽  
Level Model ◽  
Multi Level ◽  
Meta Analyses ◽  
User Friendly ◽  
Organizational Sciences

Meta-analyses are well known and widely implemented in almost every domain of research in management as well as the social, medical, and behavioral sciences. While this technique is useful for determining validity coefficients (i.e., effect sizes), meta-analyses are predicated on the assumption of independence of primary effect sizes, which might be routinely violated in the organizational sciences. Here, we discuss the implications of violating the independence assumption and demonstrate how meta-analysis could be cast as a multilevel, variance known (Vknown) model to account for such dependency in primary studies’ effect sizes. We illustrate such techniques for meta-analytic data via the HLM 7.0 software as it remains the most widely used multilevel analyses software in management. In so doing, we draw on examples in educational psychology (where such techniques were first developed), organizational sciences, and a Monte Carlo simulation (Appendix). We conclude with a discussion of implications, caveats, and future extensions. Our Appendix details features of a newly developed application that is free (based on R), user-friendly, and provides an alternative to the HLM program.

Soccer Footedness and Between-Limbs Muscle Strength: Systematic Review and Meta-Analysis

2019 ◽  
Vol 14 (5) ◽  
pp. 551-562 ◽  
Author(s):  
Matthew D. DeLang ◽  
Mehdi Rouissi ◽  
Nicola L. Bragazzi ◽  
Karim Chamari ◽  
Paul A. Salamh
Keyword(s):  
Muscle Strength ◽  
Lower Extremity ◽  
Meta Analysis ◽  
Soccer Players ◽  
Future Research ◽  
Isokinetic Dynamometry ◽  
Cross Sectional ◽  
Lower Extremity Muscle ◽  
Meta Analyses ◽  
Limb Dominance

Purpose: Limb dominance and consequent between-limbs muscle strength in soccer players should be explored to determine a standard musculoskeletal profile to maintain and establish during screening protocols and postinjury rehabilitation. The primary aim of this review was to identify dominant- vs non-dominant-lower-extremity muscle-strength characteristics of healthy soccer players, with secondary aims to consider available between-limbs outcome measures and directions for future research. Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Five electronic databases were used for study identification with guidance from a medical librarian. Inclusion criteria consisted of studies employing a cross-sectional design assessing soccer players of all ages, genders, and levels of play that identified limb dominance and associated lower-extremity muscle strength as a main purpose of the experiment. Results: The literature search identified 3471 articles. After screening titles, abstracts, and full texts, 17 articles were included in the review. Peak torques and hamstring-to-quadriceps ratios via isokinetic dynamometry were commonly used, and subsequent meta-analyses were conducted to yield remarkable between-limbs symmetry. Additional results of individual studies also demonstrate symmetry, except 1 article of velocity-dependent measures that reported greater strength in the dominant limb. Conclusions: In soccer, between-limbs muscle strength measured by maximal isokinetic dynamometry demonstrates symmetry across ages, genders, and levels of play. Future testing using alternative measures that more specifically replicate the movement demands of soccer players may further classify between-limbs characteristics.

scholarly journals Variability in the Results of Meta-Analysis as a Function of Comparing Effect Sizes Based on Scores From Noncomparable Measures: A Simulation Study

2016 ◽  
Vol 77 (3) ◽  
pp. 449-470 ◽  
Author(s):  
William R. Nugent
Keyword(s):  
Fixed Effects ◽  
Meta Analysis ◽  
Monte Carlo Study ◽  
Significant Degree ◽  
Effect Sizes ◽  
Future Research ◽  
Placebo Condition ◽  
Methodological Advance ◽  
Meta Analyses ◽  
Observed Score

Meta-analysis is a significant methodological advance that is increasingly important in research synthesis. Fundamental to meta-analysis is the presumption that effect sizes, such as the standardized mean difference (SMD), based on scores from different measures are comparable. It has been argued that population observed score SMDs based on scores from different measures A and B will be equal only if the conjunction of three conditions are met: construct equivalence (CE), equal reliabilities (ER), and the absence of differential test functioning (DTF) in all subpopulations of the combined populations of interest. It has also been speculated the results of a meta-analysis of SMDs might differ between circumstances in which the SMDs included in a meta-analysis are based on measures which all met the conjunction of these conditions and that in which the conjunction of these conditions is violated. No previous studies have tested this conjecture. This Monte Carlo study investigated this hypothesis. A population of studies comparing one of five hypothetical treatments with a placebo condition was simulated. The SMDs in these simulated studies were based on true scores from six hypothetical measures. The scores from some of these measures met the conjunction of CE, ER, and, the absence of DTF, while others failed to meet CE. Three meta-analyses were conducted using both fixed effects and random effects methods. The results suggested that the results of meta-analyses can vary to a practically significant degree when the SMDs were based on scores from measures failing to meet the CE condition. Implications for future research are considered.

scholarly journals The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments

2021 ◽  
Vol 51 (2) ◽  
pp. 201-211
Author(s):  
Gabriele Prati ◽  
Anthony D. Mancini
Keyword(s):  
Mental Health ◽  
Longitudinal Studies ◽  
Psychological Functioning ◽  
Meta Analysis ◽  
Psychological Impact ◽  
Effect Sizes ◽  
Rapid Review ◽  
Natural Experiments ◽  
Cross Sectional ◽  
Meta Analyses

AbstractLockdowns to control the spread of the coronavirus disease 2019 (COVID-19) have had profound effects on everyday life worldwide, but their effect on mental health remains unclear because available meta-analyses and reviews rely mostly on cross-sectional studies. We conducted a rapid review and meta-analysis of longitudinal studies and natural experiments investigating the relationship between COVID-19 lockdowns and mental health. A total of 25 studies involving 72 004 participants and 58 effect sizes were analyzed. Using a random effects model, we found that lockdowns had small effects on mental health symptoms, g = 0.17, s.e. = 0.05, 95% CI (0.06–0.24), p = 0.001, but the effects on positive psychological functioning, g = −0.12, s.e. = 0.11, 95% CI (−0.33 to 0.09), p = 0.27, were not significant. Multivariate analysis of effect sizes revealed significant and relatively small effect sizes for anxiety and depression, while those for social support, loneliness, general distress, negative affect, and suicide risk were not significant. The results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design. The psychological impact of COVID-19 lockdowns is small in magnitude and highly heterogeneous, suggesting that lockdowns do not have uniformly detrimental effects on mental health and that most people are psychologically resilient to their effects.

scholarly journals A Meta-analysis of the Relation Between Math Anxiety and Math Achievement

2020 ◽  
Author(s):  
Connie Barroso ◽  
Colleen Marie Ganley ◽  
Amanda McGraw ◽  
Elyssa A Geer ◽  
Sara Ann Hart ◽  
...  
Keyword(s):  
Math Achievement ◽  
Math Anxiety ◽  
Meta Analysis ◽  
Number System ◽  
Effect Sizes ◽  
Future Research ◽  
Statistics Anxiety ◽  
Math Ability ◽  
Negative Effect ◽  
Meta Analyses

Meta-analyses from the 1990s have previously established a significant, small-to-moderate, and negative correlation between math achievement and math anxiety. Since these publications, research has continued to investigate this relation with more diverse samples and measures. Thus, the goal of the present meta-analysis was to provide an update of the math anxiety-math achievement relation and its moderators. Analyzing 747 effect sizes accumulated from research conducted between 1992 and 2018, we found a small-to-moderate, negative, and statistically significant correlation (r = -.28) between math anxiety and math achievement. The relation was significant for all moderator subgroups, with the exception of the relation between math anxiety and assessments measuring the approximate number system. Grade level, math ability level, adolescent/adult math anxiety scales, math topic of anxiety scale, and math assessments were significant moderators of this relation. There is also a tendency for published studies to report significantly stronger correlations than unpublished studies but, overall, large, negative effect sizes are under-reported. Our results are consistent with previous findings of a significant relation between math anxiety and math achievement. This association starts in childhood, remains significant through adulthood, is smaller for students in grades 3 through 5 and postsecondary school, is larger for math anxiety than for statistics anxiety and for certain math anxiety scales, and is smaller for math exam grades and samples selected for low math ability. This work supports future research efforts to determine effective math achievement and math anxiety interventions, which may be most helpful to implement during childhood.

scholarly journals Working Memory Training Revisited: A Multi-Level Meta-Analysis of N-back Training Studies

2018 ◽  
Author(s):  
Anna Soveri ◽  
Jan Antfolk ◽  
Linda C. Karlsson ◽  
Benny Salo ◽  
Matti Laine
Keyword(s):  
Working Memory ◽  
Cognitive Control ◽  
Fluid Intelligence ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Substantial Part ◽  
Training Dose ◽  
Multi Level ◽  
Training Studies ◽  
Meta Analyses

The efficacy of working memory (WM) training has been a controversial and hotly debated issue during the last years, and despite a large number of training studies and several meta-analyses, the matter has not yet been solved. We conducted a multi-level meta-analysis on the cognitive transfer effects in healthy adults who have been administered WM updating training with n-back tasks, the most common experimental WM training paradigm. Thanks to this methodological approach that has not been employed in previous meta-analyses in this field, we were able to include effect sizes from all relevant tasks used in the original studies. Altogether 203 effect sizes were derived from 33 published randomized controlled trials. In contrast to earlier meta-analyses, we separated task-specific transfer (here untrained n-back tasks) from other WM transfer tasks. Two additional cognitive domains of transfer that we analyzed consisted of fluid intelligence (Gf) and cognitive control tasks. A medium-sized transfer effect was observed to untrained n-back tasks. For other WM tasks, Gf, and cognitive control, the effect sizes were of similar size and very small. Moderator analyses showed no effects of age, training dose, training type (single vs. dual), or WM and Gf transfer task contents (verbal vs. visuospatial). We conclude that a substantial part of transfer following WM updating training with n-back is task-specific and discuss the implications of the results to WM training research.

scholarly journals The anatomy of an award-winning meta-analysis: Recommendations for authors, reviewers, and readers of meta-analytic reviews

2021 ◽  
Author(s):  
Piers Steel ◽  
Sjoerd Beugelsdijk ◽  
Herman Aguinis
Keyword(s):  
Meta Analysis ◽  
Effect Sizes ◽  
Future Research ◽  
Research Directions ◽  
Outlier Identification ◽  
Business Studies ◽  
Award Winning ◽  
Future Research Directions ◽  
Meta Analyses ◽  
Highly Cited

AbstractMeta-analyses summarize a field’s research base and are therefore highly influential. Despite their value, the standards for an excellent meta-analysis, one that is potentially award-winning, have changed in the last decade. Each step of a meta-analysis is now more formalized, from the identification of relevant articles to coding, moderator analysis, and reporting of results. What was exemplary a decade ago can be somewhat dated today. Using the award-winning meta-analysis by Stahl et al. (Unraveling the effects of cultural diversity in teams: A meta-analysis of research on multicultural work groups. Journal of International Business Studies, 41(4):690–709, 2010) as an exemplar, we adopted a multi-disciplinary approach (e.g., management, psychology, health sciences) to summarize the anatomy (i.e., fundamental components) of a modern meta-analysis, focusing on: (1) data collection (i.e., literature search and screening, coding), (2) data preparation (i.e., treatment of multiple effect sizes, outlier identification and management, publication bias), (3) data analysis (i.e., average effect sizes, heterogeneity of effect sizes, moderator search), and (4) reporting (i.e., transparency and reproducibility, future research directions). In addition, we provide guidelines and a decision-making tree for when even foundational and highly cited meta-analyses should be updated. Based on the latest evidence, we summarize what journal editors and reviewers should expect, authors should provide, and readers (i.e., other researchers, practitioners, and policymakers) should consider about meta-analytic reviews.

scholarly journals The Psychological Impact of COVID-19 Pandemic Lockdowns: A Review and Meta-Analysis of Longitudinal Studies and Natural Experiments

2021 ◽  
Author(s):  
Gabriele Prati ◽  
Anthony D Mancini
Keyword(s):  
Mental Health ◽  
Longitudinal Studies ◽  
Psychological Functioning ◽  
Meta Analysis ◽  
Psychological Impact ◽  
Effect Sizes ◽  
Rapid Review ◽  
Natural Experiments ◽  
Cross Sectional ◽  
Meta Analyses

Lockdowns to control the spread of the coronavirus disease 2019 (COVID-19) have had profound effects on everyday life worldwide, but their effect on mental health remains unclear because available meta-analyses and reviews rely mostly on cross-sectional studies. We conducted a rapid review and meta-analysis of longitudinal studies and natural experiments investigating the relationship between COVID-19 lockdowns and mental health. A total of 25 studies involving 72,004 participants and 58 effect sizes were analyzed. Using a random effects model, we found that lockdowns had small effects on mental health symptoms, g = 0.17, SE = 0.05, 95% CI [0.06, 0.24], p = .001, but the effects on positive psychological functioning, g = -0.12, SE = 0.11, 95% CI [-0.33, 0.09], p = .27, were not significant. Multivariate analysis of effect sizes revealed significant and relatively small effect sizes for anxiety and depression, while those for social support, loneliness, general distress, negative affect, and suicide risk were notsignificant. Results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design. The psychological impact of COVID-19 lockdowns is small in magnitude and highly heterogeneous, suggesting that lockdowns do not have uniformly detrimental effects on mental health and that most people are psychologically resilient to their effects.

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