scholarly journals The link between self-esteem and social relationships: A meta-analysis of longitudinal studies.

2020 ◽  
Vol 119 (6) ◽  
pp. 1459-1477 ◽  
Author(s):  
Michelle A. Harris ◽  
Ulrich Orth
Keyword(s):  
Longitudinal Studies ◽  
Social Relationships ◽  
Meta Analysis ◽  
Self Esteem

Development of self-esteem from age 4 to 94 years: A meta-analysis of longitudinal studies.

2018 ◽  
Vol 144 (10) ◽  
pp. 1045-1080 ◽  
Author(s):  
Ulrich Orth ◽  
Ruth Yasemin Erol ◽  
Eva C. Luciano
Keyword(s):  
Longitudinal Studies ◽  
Meta Analysis ◽  
Self Esteem

scholarly journals Harga Diri dan Adiksi Internet: Tinjauan Meta-Analisis

2019 ◽  
Vol 27 (1) ◽  
pp. 70 ◽  
Author(s):  
Wahyu Rahardjo
Keyword(s):  
Social Relationships ◽  
Internet Addiction ◽  
Deviant Behavior ◽  
Sampling Error ◽  
Meta Analysis ◽  
Self Esteem ◽  
The Internet ◽  
Men And Women ◽  
Analysis Study ◽  
True Correlation

The aim of this meta-analysis study is to figure out the true correlation between self-esteem and internet addiction. This meta-analysis uses 159 studies from 40 scientific articles from the year of 2005-2018 and involved in 120.825 participants. Correction for the two artifacts studied in this meta-analysis first is sampling error, and the second one is measurement error. The results support the hypothesis and show some similar findings whereas the true correlations from the groups confirm previous researches that self-esteem has a negative correlation to internet addiction. The strongest correlation found in adolescence group followed by men and women, all participant, also students and college students groups. However, these findings show that the internet accommodates individuals with negative self-esteem to build online social relationships and fulfilling their communication and pleasure needs and makes them easier committed to deviant behavior such as internet addiction.

scholarly journals Work Experiences and Self-Esteem Development: A Meta-Analysis of Longitudinal Studies

2021 ◽  
pp. 089020702110271
Author(s):  
Samantha Krauss ◽  
Ulrich Orth
Keyword(s):  
Job Satisfaction ◽  
Longitudinal Studies ◽  
Meta Analysis ◽  
Personality Development ◽  
Time Lag ◽  
Self Esteem ◽  
Sample Type ◽  
Work Experiences ◽  
Random Effects Models ◽  
Point Estimates

Theory suggests that people’s work experiences influence their self-esteem and, vice versa, that self-esteem influences work experiences. This meta-analysis of longitudinal studies synthesizes the available evidence on prospective effects between work experiences and self-esteem, controlling for prior levels of the outcomes. The following work variables were examined: job satisfaction, job success, income, job resources, job stressors, and employment status. The analyses were based on 30 independent samples, including data from 53,112 participants. Mean age ranged from 17 to 64 years, spanning most of the work life. For each work variable, we computed random-effects models with standardized regression coefficients as effect size measure. Results suggested reciprocal effects between work experiences and self-esteem. The effects of self-esteem on later work experiences (point estimates ranged from .05 to .10) were slightly larger than the effects of work experiences on later self-esteem (point estimates ranged from .02 to .05). Moderator analyses on the relation between job satisfaction and self-esteem indicated that the effects did not differ across age, gender, sample type, and time lag. Overall, the findings support the corresponsive principle of personality development and suggest that the work domain and people’s self-esteem are interdependent.

scholarly journals The Stability and Change of Loneliness Across the Life Span: A Meta-Analysis of Longitudinal Studies

2019 ◽  
Vol 24 (1) ◽  
pp. 24-52 ◽  
Author(s):  
Marcus Mund ◽  
Maren M. Freuding ◽  
Kathrin Möbius ◽  
Nicole Horn ◽  
Franz J. Neyer
Keyword(s):  
Life Span ◽  
Longitudinal Studies ◽  
Social Relationships ◽  
Rank Order ◽  
Meta Analysis ◽  
Oldest Old ◽  
Generalized Additive Mixed Models ◽  
Additive Mixed Models ◽  
The Stability ◽  
Meta Analyses

Individuals experience loneliness when they perceive a deficiency in the quality or quantity of their social relationships. In the present meta-analysis, we compiled data from 75 longitudinal studies conducted in Asia, Australia, Europe, and North America ( N = 83, 679) to examine the rank-order and mean-level development of loneliness across the life span. Data were analyzed using two- and three-level meta-analyses and generalized additive mixed models. The results indicate that the rank order of loneliness is as stable as the rank order of personality traits and follows an inverted U-shaped trajectory across the life span. Regarding mean-level development, loneliness was found to decrease throughout childhood and to remain essentially stable from adolescence to oldest old age. Thus, in contrast to other personality characteristics, changes in loneliness are not generally related to age. Implications for theory are discussed.

Development of Motivational Variables and Self-Esteem During the School Career: A Meta-Analysis of Longitudinal Studies

2018 ◽  
Vol 89 (2) ◽  
pp. 211-258 ◽  
Author(s):  
Vsevolod Scherrer ◽  
Franzis Preckel
Keyword(s):  
Longitudinal Studies ◽  
Achievement Goals ◽  
Average Duration ◽  
Meta Analysis ◽  
Self Esteem ◽  
Self Concept ◽  
Theoretical Approaches ◽  
School Career ◽  
And Performance ◽  
Academic Self Efficacy

Theoretical approaches and empirical research suggest a decline in the levels of motivational variables and self-esteem among students during the school career. However, precise statements about the magnitude of the change remain elusive. Conducting a meta-analysis of 107 independent longitudinal studies with 912 effect sizes, we found an overall decrease of Glass’s Δ = −.108 over an average duration of 1.654 years. Change significantly differed by construct with the largest decreases in intrinsic motivation, math and language academic self-concepts, mastery achievement goals, and performance-approach achievement goals. There were no significant mean-level changes in self-esteem, general academic self-concept, academic self-efficacy, and performance avoidance achievement goals. School stage and transition to middle school or high school were not significantly associated with the change. Findings generalized over academic domain and questionnaire used for all constructs except for academic self-concept. The decline was larger in Europe than in North America or Asia.

scholarly journals The Stability and Change of Loneliness Across the Lifespan: A Meta-Analysis of Longitudinal Studies

2019 ◽  
Author(s):  
Marcus Mund ◽  
Maren M. Freuding ◽  
Kathrin Möbius ◽  
Nicole Horn ◽  
Franz J. Neyer
Keyword(s):  
Longitudinal Studies ◽  
Social Relationships ◽  
Mixed Models ◽  
Rank Order ◽  
Meta Analysis ◽  
Oldest Old ◽  
Generalized Additive Mixed Models ◽  
Additive Mixed Models ◽  
The Stability ◽  
Meta Analyses

Individuals experience loneliness when they perceive a deficiency in the quality or quantity of their social relationships. In the present meta-analysis, we compiled data from 75 longitudinal studies conducted in Asia, Australia, Europe, and North America ($N = 83,679$) to examine the rank-order and mean-level development of loneliness across the lifespan. Data were analyzed using two- and three-level meta-analyses and generalized additive mixed models. The results indicate that the rank-order of loneliness is as stable as the rank-order of personality traits and follows an inverted U-shaped trajectory across the lifespan. Regarding mean-level development, loneliness was found to decrease throughout childhood and to remain essentially stable from adolescence to oldest old age. Thus, in contrast to other personality characteristics, changes in loneliness are not generally related to age. Implications for theory are discussed.

Normative changes in interests from adolescence to adulthood: A meta-analysis of longitudinal studies.

2018 ◽  
Vol 144 (4) ◽  
pp. 426-451 ◽  
Author(s):  
Kevin A. Hoff ◽  
Daniel A. Briley ◽  
Colin J. M. Wee ◽  
James Rounds
Keyword(s):  
Longitudinal Studies ◽  
Meta Analysis
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