The main aim of this study is to describe the communication between children and parents about children’s desired purchases of items in Croatia. Online focus groups were conducted with children ages 11 to 15, and their parents, using a pre-prepared list of questions. The constant comparative method was applied, and the data were coded thematically, meaning data were organized into groups or codes on the basis of repeating keywords in the transcripts. The analysis shows children mostly ask their parents for clothing items and food. The findings indicate children and parents resolve the purchase decisions based on a few communication themes. Children employ persuasion, bargaining, and negotiation communication to acquire their desired items. As a response, parents employ bargaining and negotiation communication, budgeting and financial communication, usefulness and need communication, and postponed purchase communication. This research contributes to a better understanding of child and parent communication related to child purchase wishes and parent–child communication.
{"title":"Communication about Purchase Desires between Children and Their Parents in Croatia","authors":"Vanesa Varga, Mateja Plenković, Marina Merkaš","doi":"10.3390/socsci13020097","DOIUrl":"https://doi.org/10.3390/socsci13020097","url":null,"abstract":"The main aim of this study is to describe the communication between children and parents about children’s desired purchases of items in Croatia. Online focus groups were conducted with children ages 11 to 15, and their parents, using a pre-prepared list of questions. The constant comparative method was applied, and the data were coded thematically, meaning data were organized into groups or codes on the basis of repeating keywords in the transcripts. The analysis shows children mostly ask their parents for clothing items and food. The findings indicate children and parents resolve the purchase decisions based on a few communication themes. Children employ persuasion, bargaining, and negotiation communication to acquire their desired items. As a response, parents employ bargaining and negotiation communication, budgeting and financial communication, usefulness and need communication, and postponed purchase communication. This research contributes to a better understanding of child and parent communication related to child purchase wishes and parent–child communication.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139808967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examines the results of evaluating a Catalan training program for practitioners working with survivors of gender-related violence. Considering the lack of scientific evidence previously shown by studies on this topic, this article aimed to triangulate the participants’ self-perception with their assessment of knowledge and competencies in tackling digital gender-related violence before and after the training. To do so, a pre-test and post-test case-based design was employed to identify and measure the participants’ improvement in self-perceived knowledge and their effective gain in knowledge and skills to address this kind of violence. Considering the contributions of a feminist evaluation approach, we also included in our evaluation the analysis of classroom interactions and the participants’ responses. The results overall demonstrate that the incorporation of assessment criteria from the feminist evaluation methodology increased the reliability of evaluation criteria. In addition, it also enabled us to identify the need to continue developing training programs that empower participants and prevent women and LGBTQI+ people from disengaging from digital spaces.
{"title":"Evaluation of Gender-Related Digital Violence Training in Catalonia","authors":"Catalina Guerrero-Sanchez, Jordi Bonet-Marti, Barbare Biglia","doi":"10.3390/socsci13020096","DOIUrl":"https://doi.org/10.3390/socsci13020096","url":null,"abstract":"This study examines the results of evaluating a Catalan training program for practitioners working with survivors of gender-related violence. Considering the lack of scientific evidence previously shown by studies on this topic, this article aimed to triangulate the participants’ self-perception with their assessment of knowledge and competencies in tackling digital gender-related violence before and after the training. To do so, a pre-test and post-test case-based design was employed to identify and measure the participants’ improvement in self-perceived knowledge and their effective gain in knowledge and skills to address this kind of violence. Considering the contributions of a feminist evaluation approach, we also included in our evaluation the analysis of classroom interactions and the participants’ responses. The results overall demonstrate that the incorporation of assessment criteria from the feminist evaluation methodology increased the reliability of evaluation criteria. In addition, it also enabled us to identify the need to continue developing training programs that empower participants and prevent women and LGBTQI+ people from disengaging from digital spaces.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"13 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139869360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were collected to create a multivariate evaluation via Analytic Hierarchical Process (AHP), Compromise Programming (CP), weight linear combination and Spatial Mismatch Index Model (SMI) to reveal the non-synergistic coupling relationship between multivariate and student-teacher rate in school districts, counties, and state multiple levels. The results suggest that compared to 10% of the spatial mismatch index at the state level, the proportion of mismatched areas at the school district and county levels was the same at 1%. NV, IN, VT, MA, and FL were mismatched at the state level but had good matches at the county and school district levels. Other unpredictable factors related to teacher shortages, such as workload, school rankings, and teacher vacancies, should be considered for further study in future research plans. This research provides valuable insights for policy interventions to improve the treatment of teachers in public school districts and promote educational equity.
{"title":"Case Study on Spatial Mismatch between Multivariate and Student-Teacher Rate in U.S Public School Districts","authors":"Xiu Wu, Jinting Zhang","doi":"10.3390/socsci13020093","DOIUrl":"https://doi.org/10.3390/socsci13020093","url":null,"abstract":"An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were collected to create a multivariate evaluation via Analytic Hierarchical Process (AHP), Compromise Programming (CP), weight linear combination and Spatial Mismatch Index Model (SMI) to reveal the non-synergistic coupling relationship between multivariate and student-teacher rate in school districts, counties, and state multiple levels. The results suggest that compared to 10% of the spatial mismatch index at the state level, the proportion of mismatched areas at the school district and county levels was the same at 1%. NV, IN, VT, MA, and FL were mismatched at the state level but had good matches at the county and school district levels. Other unpredictable factors related to teacher shortages, such as workload, school rankings, and teacher vacancies, should be considered for further study in future research plans. This research provides valuable insights for policy interventions to improve the treatment of teachers in public school districts and promote educational equity.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"17 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139820183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional news outlets, such as newspapers and television, are no longer major sources of news. These media channels have been replaced by social platforms, which have increased in value as information distributors. This change in communication is an underlying reason for the election fraud controversies that occurred in the United States and South Korea, which hold high standards of democracy, during similar periods. This study investigates a model for sharing political disputes over social networks, especially Twitter, and illustrates the influence of political polarization. This study examines Twitter content around the presidential elections in the United States and South Korea in 2020 and 2022, respectively. It applies semantic network analysis and structural topic modeling to describe and compare the dynamics of online discourse on the issue of election fraud. The results show that online spaces such as Twitter serve as public spheres for discussion among active political participants. Social networks are key settings for forming and spreading election fraud controversies in the United States and South Korea, with differences in content. In addition, the study applies large-volume text data and new analytical methods such as the structural topic model to examine the in-depth relationships among political issues in cyberspace.
{"title":"Semantic Networks of Election Fraud: Comparing the Twitter Discourses of the U.S. and Korean Presidential Elections","authors":"Jongmyung Lee, Chung Joo Chung, D. Kim","doi":"10.3390/socsci13020094","DOIUrl":"https://doi.org/10.3390/socsci13020094","url":null,"abstract":"Traditional news outlets, such as newspapers and television, are no longer major sources of news. These media channels have been replaced by social platforms, which have increased in value as information distributors. This change in communication is an underlying reason for the election fraud controversies that occurred in the United States and South Korea, which hold high standards of democracy, during similar periods. This study investigates a model for sharing political disputes over social networks, especially Twitter, and illustrates the influence of political polarization. This study examines Twitter content around the presidential elections in the United States and South Korea in 2020 and 2022, respectively. It applies semantic network analysis and structural topic modeling to describe and compare the dynamics of online discourse on the issue of election fraud. The results show that online spaces such as Twitter serve as public spheres for discussion among active political participants. Social networks are key settings for forming and spreading election fraud controversies in the United States and South Korea, with differences in content. In addition, the study applies large-volume text data and new analytical methods such as the structural topic model to examine the in-depth relationships among political issues in cyberspace.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"41 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139830036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the intricate interplay between gender, occupation, and mental health using data from the 2020 EU-LFS ad hoc module on 38,066 female professionals in Western Europe. We examine their exposure to work-related risks impacting mental health, focusing on variables such as work overload, violence, and challenging client interactions. Our primary objective is to discern how various occupations contribute to distinct experiences of work-induced strains. Key findings challenge the compensating differential theory, according to which the lower wages in female-dominated occupations are compensated by more friendly working conditions, revealing that interactive service-sector jobs pose higher risks to mental well-being. Health professionals, legal-cultural professionals, and teachers are particularly susceptible, with shift and weekend work exacerbating risk exposure to violence and violent behaviors. This study underscores the significance of a “within-gender” perspective, uncovering nuanced occupation-based inequalities for women. It introduces a novel approach to occupational segregation, highlighting the uneven distribution of work-induced strains among different occupations. It also urges to reassess customer-worker relationships and proposes gender-specific measures to alleviate heightened risks to mental well-being for interactive service occupations. In conclusion, this study analyzes the intersection of gender, occupation, and work-induced strains, emphasizing the role of micro-classes in shaping women’s mental health.
{"title":"Occupational Gender Segregation and Mental Health among Professionals: Women’s Risk Exposure in Five Micro Classes","authors":"Lorenzo Cattani, Roberto Rizza","doi":"10.3390/socsci13020092","DOIUrl":"https://doi.org/10.3390/socsci13020092","url":null,"abstract":"This study explores the intricate interplay between gender, occupation, and mental health using data from the 2020 EU-LFS ad hoc module on 38,066 female professionals in Western Europe. We examine their exposure to work-related risks impacting mental health, focusing on variables such as work overload, violence, and challenging client interactions. Our primary objective is to discern how various occupations contribute to distinct experiences of work-induced strains. Key findings challenge the compensating differential theory, according to which the lower wages in female-dominated occupations are compensated by more friendly working conditions, revealing that interactive service-sector jobs pose higher risks to mental well-being. Health professionals, legal-cultural professionals, and teachers are particularly susceptible, with shift and weekend work exacerbating risk exposure to violence and violent behaviors. This study underscores the significance of a “within-gender” perspective, uncovering nuanced occupation-based inequalities for women. It introduces a novel approach to occupational segregation, highlighting the uneven distribution of work-induced strains among different occupations. It also urges to reassess customer-worker relationships and proposes gender-specific measures to alleviate heightened risks to mental well-being for interactive service occupations. In conclusion, this study analyzes the intersection of gender, occupation, and work-induced strains, emphasizing the role of micro-classes in shaping women’s mental health.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139875946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were collected to create a multivariate evaluation via Analytic Hierarchical Process (AHP), Compromise Programming (CP), weight linear combination and Spatial Mismatch Index Model (SMI) to reveal the non-synergistic coupling relationship between multivariate and student-teacher rate in school districts, counties, and state multiple levels. The results suggest that compared to 10% of the spatial mismatch index at the state level, the proportion of mismatched areas at the school district and county levels was the same at 1%. NV, IN, VT, MA, and FL were mismatched at the state level but had good matches at the county and school district levels. Other unpredictable factors related to teacher shortages, such as workload, school rankings, and teacher vacancies, should be considered for further study in future research plans. This research provides valuable insights for policy interventions to improve the treatment of teachers in public school districts and promote educational equity.
{"title":"Case Study on Spatial Mismatch between Multivariate and Student-Teacher Rate in U.S Public School Districts","authors":"Xiu Wu, Jinting Zhang","doi":"10.3390/socsci13020093","DOIUrl":"https://doi.org/10.3390/socsci13020093","url":null,"abstract":"An important aspect of educational equity is the balance between students and teachers in the general education system. To address the need for a sustainable, balanced, and reliable supply of high-quality STEM teachers for public school districts, this research aims to illustrate the spatial dynamics of student-teacher balance in the impact of teacher salary, school poverty, transportation, and environmental factors from 2015 to 2020, Data were collected to create a multivariate evaluation via Analytic Hierarchical Process (AHP), Compromise Programming (CP), weight linear combination and Spatial Mismatch Index Model (SMI) to reveal the non-synergistic coupling relationship between multivariate and student-teacher rate in school districts, counties, and state multiple levels. The results suggest that compared to 10% of the spatial mismatch index at the state level, the proportion of mismatched areas at the school district and county levels was the same at 1%. NV, IN, VT, MA, and FL were mismatched at the state level but had good matches at the county and school district levels. Other unpredictable factors related to teacher shortages, such as workload, school rankings, and teacher vacancies, should be considered for further study in future research plans. This research provides valuable insights for policy interventions to improve the treatment of teachers in public school districts and promote educational equity.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"128 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139879855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional news outlets, such as newspapers and television, are no longer major sources of news. These media channels have been replaced by social platforms, which have increased in value as information distributors. This change in communication is an underlying reason for the election fraud controversies that occurred in the United States and South Korea, which hold high standards of democracy, during similar periods. This study investigates a model for sharing political disputes over social networks, especially Twitter, and illustrates the influence of political polarization. This study examines Twitter content around the presidential elections in the United States and South Korea in 2020 and 2022, respectively. It applies semantic network analysis and structural topic modeling to describe and compare the dynamics of online discourse on the issue of election fraud. The results show that online spaces such as Twitter serve as public spheres for discussion among active political participants. Social networks are key settings for forming and spreading election fraud controversies in the United States and South Korea, with differences in content. In addition, the study applies large-volume text data and new analytical methods such as the structural topic model to examine the in-depth relationships among political issues in cyberspace.
{"title":"Semantic Networks of Election Fraud: Comparing the Twitter Discourses of the U.S. and Korean Presidential Elections","authors":"Jongmyung Lee, Chung Joo Chung, D. Kim","doi":"10.3390/socsci13020094","DOIUrl":"https://doi.org/10.3390/socsci13020094","url":null,"abstract":"Traditional news outlets, such as newspapers and television, are no longer major sources of news. These media channels have been replaced by social platforms, which have increased in value as information distributors. This change in communication is an underlying reason for the election fraud controversies that occurred in the United States and South Korea, which hold high standards of democracy, during similar periods. This study investigates a model for sharing political disputes over social networks, especially Twitter, and illustrates the influence of political polarization. This study examines Twitter content around the presidential elections in the United States and South Korea in 2020 and 2022, respectively. It applies semantic network analysis and structural topic modeling to describe and compare the dynamics of online discourse on the issue of election fraud. The results show that online spaces such as Twitter serve as public spheres for discussion among active political participants. Social networks are key settings for forming and spreading election fraud controversies in the United States and South Korea, with differences in content. In addition, the study applies large-volume text data and new analytical methods such as the structural topic model to examine the in-depth relationships among political issues in cyberspace.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"13 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139889919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the intricate interplay between gender, occupation, and mental health using data from the 2020 EU-LFS ad hoc module on 38,066 female professionals in Western Europe. We examine their exposure to work-related risks impacting mental health, focusing on variables such as work overload, violence, and challenging client interactions. Our primary objective is to discern how various occupations contribute to distinct experiences of work-induced strains. Key findings challenge the compensating differential theory, according to which the lower wages in female-dominated occupations are compensated by more friendly working conditions, revealing that interactive service-sector jobs pose higher risks to mental well-being. Health professionals, legal-cultural professionals, and teachers are particularly susceptible, with shift and weekend work exacerbating risk exposure to violence and violent behaviors. This study underscores the significance of a “within-gender” perspective, uncovering nuanced occupation-based inequalities for women. It introduces a novel approach to occupational segregation, highlighting the uneven distribution of work-induced strains among different occupations. It also urges to reassess customer-worker relationships and proposes gender-specific measures to alleviate heightened risks to mental well-being for interactive service occupations. In conclusion, this study analyzes the intersection of gender, occupation, and work-induced strains, emphasizing the role of micro-classes in shaping women’s mental health.
{"title":"Occupational Gender Segregation and Mental Health among Professionals: Women’s Risk Exposure in Five Micro Classes","authors":"Lorenzo Cattani, Roberto Rizza","doi":"10.3390/socsci13020092","DOIUrl":"https://doi.org/10.3390/socsci13020092","url":null,"abstract":"This study explores the intricate interplay between gender, occupation, and mental health using data from the 2020 EU-LFS ad hoc module on 38,066 female professionals in Western Europe. We examine their exposure to work-related risks impacting mental health, focusing on variables such as work overload, violence, and challenging client interactions. Our primary objective is to discern how various occupations contribute to distinct experiences of work-induced strains. Key findings challenge the compensating differential theory, according to which the lower wages in female-dominated occupations are compensated by more friendly working conditions, revealing that interactive service-sector jobs pose higher risks to mental well-being. Health professionals, legal-cultural professionals, and teachers are particularly susceptible, with shift and weekend work exacerbating risk exposure to violence and violent behaviors. This study underscores the significance of a “within-gender” perspective, uncovering nuanced occupation-based inequalities for women. It introduces a novel approach to occupational segregation, highlighting the uneven distribution of work-induced strains among different occupations. It also urges to reassess customer-worker relationships and proposes gender-specific measures to alleviate heightened risks to mental well-being for interactive service occupations. In conclusion, this study analyzes the intersection of gender, occupation, and work-induced strains, emphasizing the role of micro-classes in shaping women’s mental health.","PeriodicalId":508965,"journal":{"name":"Social Sciences","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139815950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：