Hegemonic Masculinity, Violence, and Gender Equality

2017 ◽  
Vol 21 (4) ◽  
pp. 547-571 ◽  
Author(s):  
Rachel Jewkes ◽  
Robert Morrell

Messerschmidt and colleagues have pioneered work in criminology using masculinities theory, yet many researchers in the field have not engaged with the possibility that the different patterning of correlated violent, sexually risky, and antisocial behaviors may reflect a disaggregation of the category of men into multiple masculinities. This lens can help understand men’s violence and enable intervention targeting. We analyzed household survey data and identified three classes of men according to their use of violence and correlated behavior. Associations between masculinity categories and other acts of violence (against women), gender attitudes, and sexually transmitted diseases showed a dose–response relationship across the masculinity categories. Structural equation modeling showed how the psychological variables mediated pathways between exposure to trauma and teasing in childhood and the more violent masculinity categories. Our analysis provides a bridge between gender analysis (with intersectionality) and the psychoanalytic in understanding men’s violence. This is important for interventions to prevent men’s violence against women and other men and support arguments for targeting violence prevention interventions.

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.


Assessment ◽  
2021 ◽  
pp. 107319112199876
Author(s):  
Arpita Ghosh ◽  
Christopher R. Niileksela ◽  
Rebecca Janis

The purpose of this study was to examine the factorial invariance of the Counseling Center Assessment of Psychological Symptoms–62 (CCAPS-62) across military background and gender identity. A sample of 2,208 military students and 2,208 nonmilitary students were chosen from a large database of university and college counseling centers. Using exploratory structural equation modeling, findings suggested the CCAPS-62 is mostly invariant across military background and gender identity. Only three item thresholds appeared to be noninvariant across groups. These results suggest comparisons of scores across military background and gender can be made. Latent mean differences across groups were also examined. After controlling for several background variables, there were some differences between males and females on subscales measuring depression, eating concerns, and generalized anxiety, but no differences between military and nonmilitary students. Implications for practice and future research are discussed.


Author(s):  
Lee ◽  
Lee ◽  
Song

The role that psychological variables play in depression among elderly urban residents has received little research attention. Therefore, the purpose of this study was to examine the relationships between social capital, social capital satisfaction, self-esteem, and depression among elderly urban residents. We used the responses provided by 701 elderly persons to scales assessing social capital (i.e., network, trust), social capital satisfaction, self-esteem, and depression, as part of the Korea Welfare Panel Study (KOWEPS). We conducted a confirmatory factor analysis and tested the validity of a proposed statistical model using structural equation modeling (SEM). The results showed that trust in social capital, social capital satisfaction, and self-esteem were significantly related to depression. Further, social capital satisfaction and self-esteem fully and partially mediated the relationship between trust and depression, respectively. These findings serve as an empirical base upon which social welfare policies can be founded that benefit elderly urban residents with weak social capital, low social capital satisfaction, and poor self-esteem.


2021 ◽  
Author(s):  
Sally Yan-Jun Xie

People form impressions of others from their faces, inferring character traits (e.g., friendly) along two broad, influential dimensions: Warmth and Competence. Although these two dimensions are presumed to be independent, research has yet to examine the generalizability of this model to cross-group impressions, despite extant evidence that Warmth and Competence are not independent for outgroup targets. This thesis explores this possibility by testing models of person perception for own-group and other-group perceptions, implementing confirmatory factor analysis in a structural equation modeling framework, and analyzing the underlying trait space using representational similarity analysis. I fit 402,473 ratings of 873 unique faces from 5,040 participants on 14 trait impressions to own-group and other-group models, exploring whether perceptions across race and gender are more unidimensional. Results indicate that current models of face perception fit poorly and are not universal as presumed: the space of trait impressions varies depending on targets’ race and gender. Keywords: person perception, impression formation, face perception, intergroup processes, social cognition


2021 ◽  
Vol 12 ◽  
Author(s):  
Ruth Pinedo ◽  
Isabel Vicario-Molina ◽  
Eva González Ortega ◽  
Andrés Palacios Picos

The COVID-19 disease has forced governments to adopt exceptional measures. The lockdown decreed in Spain in 2020 required citizens to stay confined at home, which might have affected their mental health. The objective is to identify factors that influenced adults' mental health during this period. A sample of 3,508 adults from the Spanish general population completed an online survey that collected sociodemographic data and information about daily planning and activities, healthy habits, loneliness, coping humor and mental health. Data were analyzed using Structural Equation Modeling. According to the results, the proposed model showed good fit values, and latent variables explained 30% of the variance in mental health. Loneliness, coping humor, healthy habits, age and gender had a significant weight in the prediction of mental health during lockdown. Area of residence, number of days of confinement and number of people in the household were not related to mental health. This study addresses the effect of COVID-19 and social distancing measures by identifying risk and protective factors for the development of mental health difficulties. There is a need to target specific and early interventions aimed at mitigating the psychological impact of the pandemic while increasing well-being, especially in more vulnerable groups.


2021 ◽  
Vol 4 (3) ◽  
pp. 798-812
Author(s):  
Resa Novita ◽  
Isni Andriana ◽  
Kemas M Husni Thamrin

The purpose of this research is to analyze the effect perceptions about financial literacy factors against the investment decisions on life insurance in Palembang. The population in this study is the owner of life insurance in Palembang, the sampling in this study is using the Purposive Sampling method with 50 respondents as samples. The type of research used is quantitative research with primary data sources obtained from distributing questionnaires to respondents. The data analysis technique in this research are descriptive and inferential statistical analysis using Structural Equation Modeling (SEM) with smartPLS (Partial Least Square) 3.0 software. The results showed that the perception of age and gender has no significant effect against the investment decisions on life insurance in Palembang, meanwhile the perception of education level and income have a significant effect against the investment decisions on life insurance in Palembang. Keywords: Age, Gender, Level of Education, Income, Investment Decisions


2020 ◽  
Vol 28 (02) ◽  
pp. 147-169
Author(s):  
Arafet Bouhalleb

This article extends the debate regarding entrepreneurial intention antecedents. It seeks to achieve an in-depth understanding of the direct influence of attitude, entrepreneurial education (EE), and gender on entrepreneurial intention (EI), but also of the moderator effect of family background on the EE–EI relationship in an international context. The study employs structural equation modeling (SEM) to test our hypotheses. Data analysis is based on the information of French and international postgraduate students in French business schools. The results suggest a positive and significant causal relationship between attitude and EI for both samples. However, the results also reveal that EE has a negative influence on EI development. As such, our results open interesting perspectives regarding EI antecedents, but also concerning the efficiency of the pedagogical approach adapted on EE.


2019 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Kuan-Chen Tsai

Design thinking takes an adaptive and holistic view toward product and user needs. It involves engaging in observation, fast learning, visualization, prototyping, and enhancing customer experience. Personality traits have been widely examined in the education field and at the same time design thinking is the main topic of design education. However, until now, there has been a lack of related studies investigating these two variables. As a result, the purpose of the current study is to examine the relationship between design thinking and personalities among Chinese design undergraduates. Convenience sampling was used to recruit 95 first-year Chinese fashion design college students in Taiwan. Two major findings were recorded. Based on zero-order correlations, some variables of personality and of design thinking were positively correlated among our Chinese undergraduates; however, taken as a whole, the structural equation modeling did not support this relationship. Further, age and gender did not play a role in these relationships. 


2016 ◽  
Vol 12 (3) ◽  
pp. 44-67 ◽  
Author(s):  
Amresh Kumar ◽  
Pallab Sikdar ◽  
Md. Moddassir Alam

A five factor e-shopping adoption model grounded upon TAM and an additional dimension of ‘Trust' has been tested through Confirmatory Factor Analysis (CFA). For testing the hypothesized relations as part of the conceptual model, Structural Equation Modeling (SEM) has been employed. A structured instrument has been administered as part of survey to 600 eligible respondents comprising of online shoppers. A total of 539 shoppers spread across national zones, age and gender groups constituted the final sample. Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, Intention to Use (ITU) and Attitude towards Use (ATU) are reliable and valid factors predicting e-shopping adoption. PU and PEOU along with Trust bear significant causation towards ATU. ATU serves as strong predictor of ITU, while PEOU determines PU as well. Further, ATU partially mediates PU and ITU relationship. Present study highlights the applicability of modified TAM framework in predicting the inclination of emerging market consumers to embrace online shopping mediums scantly represented in extant literature.


2016 ◽  
Vol 32 (2) ◽  
pp. 162-175 ◽  
Author(s):  
Weihua Fan ◽  
Allison G. Dempsey

This study examined the mediating role of student school motivation in linking student victimization experiences and academic achievement among a nationally representative sample of students in 10th grade. Structural equation modeling supported that there were significant associations between student victimization and academic achievement for high school students. Give these significant associations, identification of the cognitive mechanisms that underlie these relationships is critical to understanding the plight of repeated victims. Our results indicated that students who reported frequent peer victimization also reported reduced school motivation (self-efficacy and intrinsic motivation), resulting in lower achievement in both reading and math. These pathways existed after accounting for differences in achievement that may be due to socioeconomic status and gender.


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