Antecedents of Entrepreneurs’ Well-being: A Meta-Analytic Review

2019 ◽  
Vol 2019 (1) ◽  
pp. 14919
Author(s):  
Hao Zhao ◽  
Dongge Zhou ◽  
Qinglin Liu
Keyword(s):  
2020 ◽  
pp. 1-19 ◽  
Author(s):  
Susanne Buecker ◽  
Thomas Simacek ◽  
Britta Ingwersen ◽  
Sophia Terwiel ◽  
Bianca A. Simonsmeier

2020 ◽  
pp. 152483802097589
Author(s):  
Hongjian Cao ◽  
Rongzi Ma ◽  
Xiaomin Li ◽  
Yue Liang ◽  
Qinglu Wu ◽  
...  

During the past decade, research on the link between childhood emotional maltreatment and adulthood romantic relationship well-being has been accumulating, but there still lacks a systematic, quantitative evaluation of existing research. This three-level, meta-analysis aimed to fill this gap. Reports were included if they examined the link between early emotional maltreatment and adulthood romantic relationship well-being, presented statistics needed to calculate at least one bivariate effect size, written in English, and published/written before January 1, 2020. We retrieved 201 effect sizes from 23 reports. Early emotional maltreatment (aggregated across forms) was negatively (yet modestly) associated with later romantic relationship well-being (aggregated across dimensions; r = −.143, 95% confidence interval [−.173, −.114], p < .001). This association did not vary as a function of maltreatment form but differed across relationship well-being dimensions, such that the effect was stronger for the negative than for the positive relationship outcomes. We also found that (a) the actor effect was larger than the partner effect, (b) the effect was stronger in studies using Childhood Trauma Questionnaire (CTQ) than in studies not using CTQ, (c) whether using established measures of relationship well-being did not alter the effect, (d) the absolute magnitude of effect was negatively associated with methodological rigor of effect, and (e) the effect did not vary as functions of publication type, whether the sample was a college student sample, or union status, and was not related to the mean of union duration. Last, the limitations of existing research, avenues for future inquiries, and implications for practice were noted.


2014 ◽  
Vol 140 (4) ◽  
pp. 921-948 ◽  
Author(s):  
Michael T. Schmitt ◽  
Nyla R. Branscombe ◽  
Tom Postmes ◽  
Amber Garcia

2018 ◽  
Vol 73 (7) ◽  
pp. 855-883 ◽  
Author(s):  
Aprile D. Benner ◽  
Yijie Wang ◽  
Yishan Shen ◽  
Alaina E. Boyle ◽  
Richelle Polk ◽  
...  

2020 ◽  
Vol 164 ◽  
pp. 110101 ◽  
Author(s):  
Florencio F. Portocarrero ◽  
Katerina Gonzalez ◽  
Michael Ekema-Agbaw

2020 ◽  
Vol 74 (2) ◽  
pp. 163-163
Author(s):  
Christin Gerhardt ◽  
Désirée Stocker ◽  
Dominik Looser ◽  
Martin grosse Holtforth ◽  
Achim Elfering

2020 ◽  
Author(s):  
Jacinth Jia Xin Tan ◽  
Michael W. Kraus ◽  
Nichelle C. Carpenter ◽  
Nancy Adler

This meta-analysis tested if the links between socioeconomic standing (SES) and subjective well-being (SWB) differ by whether SES is assessed objectively or subjectively. The associations between measures of objective SES (i.e., income and educational attainment), subjective SES (i.e., the MacArthur ladder SES and perceived SES), and SWB (i.e., happiness and life satisfaction) were synthesized across 354 studies, totaling 2,352,095 participants. Overall, the objective SES and subjective SES measures were moderately associated (r = .32). The subjective SES-SWB association (r = .22) was larger than the objective SES-SWB association (r = .16). The income-SWB association (r = .23) was comparable to the ladder SES-SWB association (r = .22) but larger than the perceived SES-SWB association (r = .196). The education-SWB association (r = .12) was smaller than the associations with both measures of subjective SES. The subjective SES-SWB association was partially explained by common method variance. The subjective SES-SWB association, particularly with the ladder SES measure, also mediated the objective SES-SWB association. In moderation analyses, the objective SES-SWB associations strengthened as samples increased in wealth and population density. The subjective SES-SWB associations strengthened as samples increased in population density, decreased in income inequality and decreased in relative social mobility. The role of common method variance, social comparisons and other processes in explaining the SES-SWB links are discussed.


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