scholarly journals A Meta-Analysis of the Effects of Mental Contrasting With Implementation Intentions on Goal Attainment

2021 ◽  
Vol 12 ◽  
Author(s):  
Guoxia Wang ◽  
Yi Wang ◽  
Xiaosong Gai
Keyword(s):  
Goal Attainment ◽  
Implementation Intentions ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Self Regulation ◽  
Effect Sizes ◽  
Medium Effect ◽  
Independent Effect ◽  
Mental Contrasting ◽  
Medium Effect Size

Mental contrasting with implementation intentions (MCII) is a self-regulation strategy that enhances goal attainment. This meta-analysis evaluated the efficacy of MCII for goal attainment and explored potential moderators. A total of 21 empirical studies with 24 independent effect sizes (15,907 participants) were included in the analysis. Results showed that MCII to be effective for goal attainment with a small to medium effect size (g = 0.336). The effect was mainly moderated by intervention style. Specifically, studies with interventions based on interactions between participants and experimenters (g = 0.465) had stronger effects than studies with interventions based on interactions between participants and documents (g = 0.277). The results revealed that MCII is a brief and effective strategy for goal attainment with a small to moderate effect; however, because of some publication bias, the actual effect sizes may be smaller. Due to small number of studies in this meta-analysis, additional studies are needed to determine the role of moderator variables.

A Meta-Analysis on Computer Technology Intervention Effects on Mathematics Achievement for Low-Performing Students in K-12 Classrooms

2020 ◽  
pp. 073563312095206
Author(s):  
Hua Ran ◽  
Murat Kasli ◽  
Walter G. Secada
Keyword(s):  
Instructional Design ◽  
Mathematics Achievement ◽  
Computer Technology ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Effect Sizes ◽  
Independent Effect ◽  
Technology Intervention ◽  
K 12 ◽  
Positive Effect

This meta-analysis extended the current literature regarding the effects of computer technology (CT) on mathematics achievement, with a particular focus on low-performing students. A total of 45 independent effect sizes extracted from 31 empirical studies based on a total of 2,044 low-performing students in K-12 classrooms were included in this meta-analysis. Consistent with previous reviews, this study suggested a statistically significant and positive effect of CT ([Formula: see text] = 0.56) on low-performing students’ mathematics achievement. Of four CT types, the largest CT effect was found with problem-solving system ([Formula: see text] = 0.86), followed by tutoring [Formula: see text] = 0.80), game-based intervention ([Formula: see text] = .58), and computerized practice ([Formula: see text] = .23). Furthermore, other moderators were found to explain variation in CT effects on low-performing students’ mathematics achievement. Study findings contributed to clarifying the effect of CT for low-performing students’ mathematics achievement. Implications for instructional design and practices are also discussed.

Goal Attainment

2019 ◽  
pp. 245-268
Author(s):  
Peter M. Gollwitzer ◽  
Gabriele Oettingen
Keyword(s):  
Goal Attainment ◽  
Intervention Studies ◽  
Implementation Intentions ◽  
Self Regulation ◽  
Goal Pursuit ◽  
The Self ◽  
Mental Contrasting ◽  
History Of ◽  
Regulation Strategies ◽  
Underlying Processes

This chapter begins with a description of how the goal concept emerged in the history of the psychology of motivation to better understand the important role it plays in current research on motivation. The chapter then turns to the self-regulation of goal pursuit. The effects and underlying processes of two different self-regulation strategies will be discussed in detail: mental contrasting and forming implementation intentions. The chapter concludes with a report of the results of recent intervention studies that combine the self-regulation strategies of mental contrasting and forming implementation intentions to help people enhance goal attainment in the health, academic, and interpersonal domains.

Goal Pursuit

2012 ◽  
pp. 207-231 ◽  
Author(s):  
Peter M. Gollwitzer ◽  
Gabriele Oettingen
Keyword(s):  
Goal Setting ◽  
Goal Attainment ◽  
Implementation Intentions ◽  
Self Regulation ◽  
Empirical Work ◽  
The Self ◽  
Learning Goals ◽  
Theories Of Intelligence ◽  
Mental Contrasting ◽  
Goal Implementation

We start out with describing how the goal concept emerged in the history of the psychology of motivation to better understand the important role it plays in current research on motivation. We then suggest a differentiation between studies targeting the setting of goals versus the implementation of goals to get a grip on the host of empirical work the goal concept has triggered. With respect to goal setting, we first discuss studies that explore determinants affecting the content and structure of set goals (e.g., entity vs. incremental theories of intelligence influence the setting of performance vs. learning goals). We then turn to studies on the self-regulation of goal setting and discuss in detail how a self-regulation strategy called mental contrasting of future and reality facilitates strong commitment to feasible goals but dissolves commitment to unfeasible ones. With respect to goal implementation we first refer to studies on the determinants of effective goal striving (e.g., the framing of the set goal in terms of approach vs. avoidance) and then turn to analyzing the effective self-regulation of goal implementation. Here we focus on the strategy of forming implementation intentions (i.e., if-then plans) and explicate in detail how such planning helps in overcoming classic hurdles to goal attainment (e.g., distractions). We will end the chapter by reporting the results of recent intervention studies that successfully enhanced goal attainment in the health, academic, and interpersonal domains by combining the self-regulation strategy of mental contrasting with that of forming implementation intentions.

scholarly journals A Meta-Analysis of the Cognitive, Affective, and Interpersonal Outcomes of Flipped Classrooms in Higher Education

2020 ◽  
Vol 10 (4) ◽  
pp. 115 ◽  
Author(s):  
Hwan Young Jang ◽  
Hye Jeong Kim
Keyword(s):  
Higher Education ◽  
Flipped Classroom ◽  
Meta Analysis ◽  
Empirical Studies ◽  
Effect Sizes ◽  
Medium Effect ◽  
Student Centered ◽  
Student Centered Learning ◽  
Positive Effects ◽  
Flipped Classrooms

This paper aims to quantify the effects of flipped classrooms in higher education by reviewing 43 empirical studies of students’ cognitive, affective, and interpersonal outcomes. The innovative pedagogy of a flipped classroom in higher education fosters a sustainable, interactive, and student-centered learning environment (as opposed to the traditional lecture style, in which there is little room for interaction). This study’s results show the positive effects of flipped classrooms and highlight the improvement in students’ educational outcomes between 2012 and 2017. Overall, effect sizes were medium—effect size (ES) = 0.35, 95% confidence interval (CI) = 0.24 to 0.47—across three outcome domains using a random effects model. In the outcomes, affective (ES = 0.59), interpersonal (ES = 0.53), and cognitive (ES = 0.24) domains were of a higher order than the effect sizes. However, the results indicated that flipped classrooms benefitted students studying chemistry, engineering, mathematics, and physics less than they did students studying other subjects.

scholarly journals An N-Pact Factor for Clinical Psychological Research

2018 ◽  
Author(s):  
Kathleen Wade Reardon ◽  
Avante J Smack ◽  
Kathrin Herzhoff ◽  
Jennifer L Tackett
Keyword(s):  
Sample Size ◽  
Statistical Power ◽  
Empirical Studies ◽  
Psychological Research ◽  
Medium Effect ◽  
Medium Effect Size ◽  
One Step ◽  
Hard To Reach Populations ◽  
Self Examination ◽  
Adequate Sample Size

Although an emphasis on adequate sample size and statistical power has a long history in clinical psychological science (Cohen, 1992), increased attention to the replicability of scientific findings has again turned attention to the importance of statistical power (Bakker, van Dijk, & Wicherts, 2012). These recent efforts have not yet circled back to modern clinical psychological research, despite the continued importance of sample size and power in producing a credible body of evidence. As one step in this process of scientific self-examination, the present study estimated an N-pact Factor (the statistical power of published empirical studies to detect typical effect sizes; Fraley & Vazire, 2014) in two leading clinical journals (the Journal of Abnormal Psychology; JAP, and the Journal of Consulting and Clinical Psychology; JCCP) for the years 2000, 2005, 2010, and 2015. Study sample size, as one proxy for statistical power, is a useful focus because it allows direct comparisons with other subfields and may highlight some of the core methodological differences between clinical and other areas (e.g., hard-to-reach populations, greater emphasis on correlational designs). We found that, across all years examined, the average median sample size in clinical research is 179 participants (175 for JAP and 182 for JCCP). The power to detect a small-medium effect size of .20 is just below 80% for both journals. Although the clinical N-pact factor was higher than that estimated for social psychology, the statistical power in clinical journals is still limited to detect many effects of interest to clinical psychologists, with little evidence of improvement in sample sizes over time.

scholarly journals Effect sizes and test-retest reliability of the fMRI-based Neurologic Pain Signature

2021 ◽  
Author(s):  
Xiaochun Han ◽  
Yoni K. Ashar ◽  
Philip Kragel ◽  
Bogdan Petre ◽  
Victoria Schelkun ◽  
...  
Keyword(s):  
Individual Differences ◽  
Effect Size ◽  
Mental States ◽  
Effect Sizes ◽  
Medium Effect ◽  
Retest Reliability ◽  
Medium Effect Size ◽  
Pain Reports ◽  
Nociceptive Input ◽  
Test Retest Reliability

Identifying biomarkers that predict mental states with large effect sizes and high test-retest reliability is a growing priority for fMRI research. We examined a well-established multivariate brain measure that tracks pain induced by nociceptive input, the Neurologic Pain Signature (NPS). In N = 295 participants across eight studies, NPS responses showed a very large effect size in predicting within-person single-trial pain reports (d = 1.45) and medium effect size in predicting individual differences in pain reports (d = 0.49, average r = 0.20). The NPS showed excellent short-term (within-day) test-retest reliability (ICC = 0.84, with average 69.5 trials/person). Reliability scaled with the number of trials within-person, with ≥60 trials required for excellent test-retest reliability. Reliability was comparable in two additional studies across 5-day (N = 29, ICC = 0.74, 30 trials/person) and 1-month (N = 40, ICC = 0.46, 5 trials/person) test-retest intervals. The combination of strong within-person correlations and only modest between-person correlations between the NPS and pain reports indicates that the two measures have different sources of between-person variance. The NPS is not a surrogate for individual differences in pain reports, but can serve as a reliable measure of pain-related physiology and mechanistic target for interventions.

Characteristics of Effective School-Based, Teacher-Delivered Mental Health Services for Children

2019 ◽  
Vol 30 (4) ◽  
pp. 422-432
Author(s):  
Sunyoung Park ◽  
Samantha Guz ◽  
Anao Zhang ◽  
S. Natasha Beretvas ◽  
Cynthia Franklin ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Services ◽  
Health Services ◽  
Meta Analysis ◽  
Specific Treatment ◽  
Externalizing Disorders ◽  
Effect Sizes ◽  
Independent Effect ◽  
School Based ◽  
Treatment Characteristics

Purpose: The increasing need for school-based mental health services has altered teachers’ involvement in mental health services. Methods: This study presents a meta-analysis from a previous systematic review to identify which study characteristics result in effective treatment outcomes. Specific treatment characteristics analyzed in this study include type of intervention, treatment modality, length of treatment, and type of measurement. Effect sizes were coded by internalizing and externalizing disorders, depending on the symptoms the corresponding treatments were intended to address. A final sample size included 9 independent effect sizes of internalizing behaviors and 21 effect sizes of externalizing behaviors. Results: Internalizing disorders, social skill interventions, classroom modalities, and medium treatment length were moderating treatment characteristics. No significant effects were found for externalizing disorders. Conclusions: These results further add to the research on teacher’s role in school-based mental health services and provide important information for social workers who work in schools.

A Meta-Analysis Linking Parent-to-Child Aggression and Dating Abuse During Adolescence and Young Adulthood

2020 ◽  
pp. 152483802091560
Author(s):  
Elizabeth A. Goncy ◽  
Evan J. Basting ◽  
Courtney B. Dunn
Keyword(s):  
Young Adulthood ◽  
Meta Analysis ◽  
Multiple Informants ◽  
Adolescent And Young Adult ◽  
Medium Effect ◽  
Learning Theories ◽  
Child Aggression ◽  
Dating Abuse ◽  
Medium Effect Size ◽  
Adolescence And Young Adulthood

Relationship continuity and social learning theories provide support for parent-to-child aggression as one potential explanatory factor for dating abuse (DA); however, empirical results are mixed across studies as to the strength of this association. This meta-analysis sought to estimate the overall size of this effect among adolescent and young adult samples and investigate potential moderating factors including sample and measurement variables. Records were identified using a computerized search of databases with several keywords. Peer-reviewed journal articles and dissertations were included if they measured both parent-to-child aggression and DA perpetration and/or victimization among adolescents (aged 12–18) or young adults (aged 18–29). Sixty-six records met inclusion criteria, yielding 370 unique effect sizes for the relation between parent-to-child aggression and DA across 94 unique samples. As hypothesized, there was a small-to-medium effect size between parent-to-child aggression and subsequent DA during both adolescence and young adulthood. The strength of these findings was consistent across DA outcome (perpetration and victimization) and both physical and psychological forms, youth and parent gender, and youth age. Stronger associations were found when the gender of the parental aggressor was undefined compared to either a defined paternal or maternal aggressor. Records using the Conflict Tactics Scale to measure both parent-to-child aggression and DA yielded stronger associations compared to sources that used different measures, but single informant versus multiple informants did not yield any differences.

Who networks? – A meta-analysis of networking and personality

2020 ◽  
Vol 25 (5) ◽  
pp. 461-479
Author(s):  
Hadjira Bendella ◽  
Hans-Georg Wolff
Keyword(s):  
Meta Analysis ◽  
Medium Effect ◽  
Self Monitoring ◽  
Content Type ◽  
Affective Traits ◽  
Positive Effects ◽  
Social Idea ◽  
Medium Effect Size ◽  
External Networking ◽  
Behavioral Domains

PurposeNetworking refers to goal-directed behaviors focused on building and cultivating informal relationships to obtain career-related resources. According to Gibson et al.'s (2014) model, personality traits represent prominent and important antecedents of networking. This study seeks to provide robust evidence on relationships between personality and networking by summarizing prior research using meta-analytical tools.Design/methodology/approachThe authors classify linking attributes between networking and personality into social, idea-related, task-related and affective behavioral domains and additionally include three compound traits that relate to several domains. They investigate two potential moderators: internal vs. external networking and prominent networking measures. Their comprehensive literature search identified 41 studies with 46 independent samples.FindingsThe authors find that social, idea-related and task-related traits have positive relationships with networking of medium effect size, whereas affective traits exhibit small but significantly positive effects. The compound trait of proactive personality appears to be the best predictor of networking. Moderator analyses indicate that there were hardly any differences concerning internal and external networking and also prominent measures.Originality/valueThe present study goes beyond narrative reviews contributing the first quantitative summary of these relationships. It identifies four behavioral domains that represent characteristics relevant to networking. The findings largely corroborate, but at times correct, narrative reviews on dispositional antecedents of networking. The authors highlight the importance of compound traits that have yet been overlooked by narrative reviews (e.g. self-monitoring).

Organizational Antecedents of Nonprofit Engagement in Policy Advocacy: A Meta-Analytical Review

2018 ◽  
Vol 47 (4_suppl) ◽  
pp. 177S-203S ◽  
Author(s):  
Jiahuan Lu
Keyword(s):  
Meta Analysis ◽  
Empirical Studies ◽  
Effect Sizes ◽  
Organizational Size ◽  
Policy Advocacy ◽  
Significant Relationships ◽  
Analytical Review ◽  
Organizational Antecedents ◽  
Private Donations ◽  
Nonprofit Advocacy

Policy advocacy by nonprofits has attracted substantial scholarly interest in recent years. Although considerable empirical studies have examined factors influencing nonprofit participation in policy advocacy, the existing evidence remains inconsistent as to what factors influence nonprofits to engage in policy advocacy and to what extent. The present study conducts a meta-analysis to quantitatively synthesize existing studies on the organizational antecedents of nonprofit advocacy engagement. Through systematically reviewing 46 studies and aggregating 559 effect sizes on 17 organizational predictors, the study finds organizational size, professionalization, board support, constituent involvement, knowledge about laws, government funding, private donations, foundation funding, collaboration, and negative policy environment have positive and significant relationships with a nonprofit’s level of advocacy engagement. The study contributes a clear knowledge base to guide future nonprofit advocacy research and practice.

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