Parent emotional regulation: A meta-analytic review of its association with parenting and child adjustment

2021 ◽  
pp. 016502542110510
Author(s):  
Melanie J. Zimmer-Gembeck ◽  
Julia Rudolph ◽  
Jessica Kerin ◽  
Gal Bohadana-Brown
Keyword(s):  
Emotion Regulation ◽  
Effect Size ◽  
Internalizing Symptoms ◽  
Parenting Behaviors ◽  
Effect Sizes ◽  
Children's Adjustment ◽  
Children’S Adjustment ◽  
Analytic Review ◽  
Summary Effect ◽  
Child Age

We conducted a meta-analytic review of 53 studies published between 2000 and 2020 to quantify associations of parents’ emotion regulation with parenting behavior and children’s emotion regulation and internalizing and externalizing symptoms. Twelve meta-analyses, which included between 4 to 22 effect sizes ( N from 345 to 3609), were conducted to summarize associations of parent emotion regulation with positive or negative parenting behaviors and child outcomes of emotion regulation, difficulties in emotion regulation, internalizing symptoms, or externalizing behavior. Given the range of behavioral parent emotion regulation measures used across studies, effect sizes for parent emotion regulation strategy use ( skill) were analyzed separately from effect sizes for parents’ difficulties with emotion regulation. Summary effect sizes ranged from |.08| to |.28| for relations of parent emotion regulation skill with parenting behaviors and children’s adjustment. Summary effect sizes ranged from |.03| to |.42| for relations of parent emotion regulation difficulties with parenting behaviors and children’s adjustment. In general, parents with better emotion regulation skill or fewer difficulties are higher in positive parenting behaviors and have children with better emotion regulation and fewer internalizing symptoms. Evidence was less clear-cut for child externalizing behaviors. Significant effect size heterogeneity was observed in most analyses, and study characteristics (measures, child age, parent gender, sampling, and region where the study was conducted) were examined as moderators. Measures used, child age, and participant risk status moderated effect size in some analyses.

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 The Association of Cognitive Ability with Right–Wing Ideological Attitudes and Prejudice: A Meta–Analytic Review

2015 ◽  
Vol 29 (6) ◽  
pp. 599-621 ◽  
Author(s):  
Emma Onraet ◽  
Alain Van Hiel ◽  
Kristof Dhont ◽  
Gordon Hodson ◽  
Mark Schittekatte ◽  
...  
Keyword(s):  
Cognitive Ability ◽  
Effect Size ◽  
Model Building ◽  
Effect Sizes ◽  
Right Wing ◽  
Average Effect ◽  
Average Effect Size ◽  
Analytic Review ◽  
Ideological Attitudes ◽  
The Relationship

The cognitive functioning of individuals with stronger endorsement of right–wing and prejudiced attitudes has elicited much scholarly interest. Whereas many studies investigated cognitive styles, less attention has been directed towards cognitive ability. Studies investigating the latter topic generally reveal lower cognitive ability to be associated with stronger endorsement of right–wing ideological attitudes and greater prejudice. However, this relationship has remained widely unrecognized in literature. The present meta–analyses revealed an average effect size of r = −. 20 [95% confidence interval (95% CI) [−0.23, −0.17]; based on 67 studies, N = 84 017] for the relationship between cognitive ability and right–wing ideological attitudes and an average effect size of r = −.19 (95% CI [−0.23, −0.16]; based on 23 studies, N = 27 011) for the relationship between cognitive ability and prejudice. Effect sizes did not vary significantly across different cognitive abilities and sample characteristics. The effect strongly depended on the measure used for ideological attitudes and prejudice, with the strongest effect sizes for authoritarianism and ethnocentrism. We conclude that cognitive ability is an important factor in the genesis of ideological attitudes and prejudice and thus should become more central in theorizing and model building. Copyright © 2015 European Association of Personality Psychology

The Impact of Age and Task Domain on Cognitive Performance: A Meta-Analytic Review of the Glucose Facilitation Effect

2004 ◽  
Vol 5 (2) ◽  
pp. 145-165 ◽  
Author(s):  
Leigh M. Riby
Keyword(s):  
Cognitive Performance ◽  
Effect Size ◽  
Effect Sizes ◽  
Enhancement Effect ◽  
Facilitation Effect ◽  
Beneficial Effects ◽  
Analytic Review ◽  
Glucose Ingestion ◽  
The Impact ◽  
And Task

AbstractConsiderable research has been devoted to the issue of whether the ingestion of glucose enhances cognitive performance in both younger and older adults. However, it has proven difficult to draw firm conclusions from this literature due to the diversity of methodologies that have been used, and it is therefore still unclear what factors might moderate the facilitative effect. The present study investigates methodological variations and their impact on the magnitude of the glucose enhancement effect. In particular, age group (young vs. old) and task domain (memory vs. nonmemory tasks) were considered as moderator variables. In addition, differences in experimental design, glucose dose and fasting regime were examined. The effect size d was extracted from studies comparing cognitive performance after the ingestion of either a glucose or control solution. Subsequent meta-analyses were conducted (using the procedures outlined by Hedges & Olkin, 1985) to examine potential moderators. A moderate overall effect size was found (d = 0.56), which clearly demonstrated the value of glucose ingestion as a cognitive enhancer. However, this effect size was not representative of the 104 individual effect sizes reported. Secondary analyses found larger effect sizes for memory compared to nonmemory tasks. Unexpectedly, no evidence was provided for greater beneficial effects of glucose on cognitive performance for older compared to younger adults. The impact of other methodological variables and the need for further exploration in an elderly population are discussed.

Neuroticism and emotion regulation through music listening: A meta-analysis

2018 ◽  
Vol 24 (3) ◽  
pp. 342-355 ◽  
Author(s):  
Dave Miranda ◽  
Camille Blais-Rochette
Keyword(s):  
Emotion Regulation ◽  
Meta Analysis ◽  
Effect Sizes ◽  
Significant Heterogeneity ◽  
Music Listening ◽  
Random Effects Model ◽  
Emotional Instability ◽  
Summary Effect ◽  
K 13 ◽  
Musical Emotion

Recent research has found that neuroticism (i.e., trait emotional instability) may dispose people to use music listening as a strategy to regulate their emotions. To estimate the magnitude of this relationship, we performed a meta-analysis (random effects model) of the extant 13 correlational studies ( k = 13) for a total of 2641 participants. Results indicated a significant small-to-medium summary effect ( r =.22, 95% CI [0.17, 0.27]) for the positive correlation between neuroticism and emotion regulation through music listening. Furthermore, there was no evidence of significant heterogeneity in effect sizes across studies. Overall, we conclude that the putative effect of neuroticism on musical emotion regulation is relatively moderate. Findings may suggest that people higher in neuroticism are more prone to use music listening as an accessible resource to regulate their negative emotions or manage whatever affects their mood in everyday life.

The Counternull Value of an Effect Size: A New Statistic

1994 ◽  
Vol 5 (6) ◽  
pp. 329-334 ◽  
Author(s):  
Robert Rosenthal ◽  
Donald B. Rubin
Keyword(s):  
Confidence Interval ◽  
Effect Size ◽  
Null Hypothesis ◽  
Degree Of Freedom ◽  
Effect Sizes ◽  
P Value ◽  
Summary Effect ◽  
Null Value ◽  
Meta Analyses

We introduce a new, readily computed statistic, the counternull value of an obtained effect size, which is the nonnull magnitude of effect size that is supported by exactly the same amount of evidence as supports the null value of the effect size In other words, if the counternull value were taken as the null hypothesis, the resulting p value would be the same as the obtained p value for the actual null hypothesis Reporting the counternull, in addition to the p value, virtually eliminates two common errors (a) equating failure to reject the null with the estimation of the effect size as equal to zero and (b) taking the rejection of a null hypothesis on the basis of a significant p value to imply a scientifically important finding In many common situations with a one-degree-of-freedom effect size, the value of the counternull is simply twice the magnitude of the obtained effect size, but the counternull is defined in general, even with multi-degree-of-freedom effect sizes, and therefore can be applied when a confidence interval cannot be The use of the counter-null can be especially useful in meta-analyses when evaluating the scientific importance of summary effect sizes

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