Pub Date : 2024-07-25DOI: 10.3389/fpsyg.2024.1310701
Agnieszka Jaworska
{"title":"Conscious imagination vs. unconscious imagination: a contribution to the discussion with Amy Kind","authors":"Agnieszka Jaworska","doi":"10.3389/fpsyg.2024.1310701","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1310701","url":null,"abstract":"","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"4 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141804690","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}
Pub Date : 2024-07-25DOI: 10.3389/fpsyg.2024.1439271
Zouhengrui Wang, Jishan Fu, Weijun Bai
This study investigates the impact of psychological age climate on the motivation of aged workers in China and explores the mediating mechanisms at play. Two proposed chains of mediation capture the potential mechanisms underlying this process. The first chain involves the task and knowledge characteristics of work design, specifically autonomy arrangements and skill-based job demands, as mediators. The second chain focuses on the social and physical/contextual aspects of work design, including social support and ergonomic working conditions. The study sample consisted of 1,094 Chinese employees aged between 50 and 70 years (M = 55.66, SD = 4.274). Our findings reveal that a positive psychological age climate—organizational norms and practices that value and support older workers—significantly boosts their motivation to continue working. This enhancement in motivation is mediated by increased job autonomy and robust social support within the workplace, confirming that these elements are crucial for translating a positive age climate into tangible outcomes. Contrary to existing literature, our research does not support the mediating role of job design tailored to aged workers’ skills and ergonomic working conditions. This indicates that in the cultural and organizational context of China, where collective values and respect for elder wisdom predominate, autonomy and social support directly influence workers’ motivation more profoundly than ergonomic and job design considerations. The study underscores the importance of creating inclusive organizational cultures and implementing targeted support strategies to retain and engage aged workers effectively. It suggests that public policymakers and organizational leaders should focus on fostering positive psychological age climates and providing necessary autonomy and social resources to meet the unique needs of an aging workforce, thereby enhancing both individual and organizational outcomes in a globally aging society.
{"title":"Public management approaches to an aging workforce: organizational strategies for strategies for adaptability and efficiency","authors":"Zouhengrui Wang, Jishan Fu, Weijun Bai","doi":"10.3389/fpsyg.2024.1439271","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1439271","url":null,"abstract":"This study investigates the impact of psychological age climate on the motivation of aged workers in China and explores the mediating mechanisms at play. Two proposed chains of mediation capture the potential mechanisms underlying this process. The first chain involves the task and knowledge characteristics of work design, specifically autonomy arrangements and skill-based job demands, as mediators. The second chain focuses on the social and physical/contextual aspects of work design, including social support and ergonomic working conditions. The study sample consisted of 1,094 Chinese employees aged between 50 and 70 years (M = 55.66, SD = 4.274). Our findings reveal that a positive psychological age climate—organizational norms and practices that value and support older workers—significantly boosts their motivation to continue working. This enhancement in motivation is mediated by increased job autonomy and robust social support within the workplace, confirming that these elements are crucial for translating a positive age climate into tangible outcomes. Contrary to existing literature, our research does not support the mediating role of job design tailored to aged workers’ skills and ergonomic working conditions. This indicates that in the cultural and organizational context of China, where collective values and respect for elder wisdom predominate, autonomy and social support directly influence workers’ motivation more profoundly than ergonomic and job design considerations. The study underscores the importance of creating inclusive organizational cultures and implementing targeted support strategies to retain and engage aged workers effectively. It suggests that public policymakers and organizational leaders should focus on fostering positive psychological age climates and providing necessary autonomy and social resources to meet the unique needs of an aging workforce, thereby enhancing both individual and organizational outcomes in a globally aging society.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"59 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141804712","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}
Pub Date : 2024-07-25DOI: 10.3389/fpsyg.2024.1375022
Huang Qi, Hongyan Sun, He Song, Zhihang Zhou, Ruiyin Huang, Youjia Ma, Li Xia
To determine the relationship between effort-reward imbalance (ERI) and quality of working life (QWL) among medical caregivers and the mediating role of job burnout.This was a cross-sectional survey. A total of 787 medical caregivers at seven hospitals from Sichuan and Chongqing, China, between May to September 2023 were included in this observational study. The General Information Questionnaire, Effort-Reward Imbalance Questionnaire (ERI), Maslach Burnout Inventory-General Survey (MBI-GS), and Quality of Working Life Scale (QWL7-32) were used for data collection. SPSS 26.0 and PROCESSv3.3 were used for all data analyses, including descriptive statistics.A total of 820 questionnaires were distributed, of which only 787 were valid (return rate; 95.98%). The QWL score of medical caregivers was 126.94 ± 16.69. However, QWL scores were significantly different depending on age, number of children, family support status, department, years of experience, night shift status, number of night shifts per month, number of hours worked per day, monthly income, and occurrence of errors or adverse events (p < 0.05). Furthermore, job burnout and ERI were negatively correlated with QWL (p < 0.01). Job burnout mediated (95% CI = -0.365, −0.260) the relationship between ERI and QWL, accounting for 58.65% of the total effect.Medical caregivers have a medium level of QWL. Job burnout partially mediates the relationship between ERI and QWL. Medical caregiver managers can improve QWL by directly intervening in occupational stress and indirectly intervening in job burnout.
{"title":"The relationship between effort-reward imbalance and quality of working life among medical caregivers: mediating effects of job burnout","authors":"Huang Qi, Hongyan Sun, He Song, Zhihang Zhou, Ruiyin Huang, Youjia Ma, Li Xia","doi":"10.3389/fpsyg.2024.1375022","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1375022","url":null,"abstract":"To determine the relationship between effort-reward imbalance (ERI) and quality of working life (QWL) among medical caregivers and the mediating role of job burnout.This was a cross-sectional survey. A total of 787 medical caregivers at seven hospitals from Sichuan and Chongqing, China, between May to September 2023 were included in this observational study. The General Information Questionnaire, Effort-Reward Imbalance Questionnaire (ERI), Maslach Burnout Inventory-General Survey (MBI-GS), and Quality of Working Life Scale (QWL7-32) were used for data collection. SPSS 26.0 and PROCESSv3.3 were used for all data analyses, including descriptive statistics.A total of 820 questionnaires were distributed, of which only 787 were valid (return rate; 95.98%). The QWL score of medical caregivers was 126.94 ± 16.69. However, QWL scores were significantly different depending on age, number of children, family support status, department, years of experience, night shift status, number of night shifts per month, number of hours worked per day, monthly income, and occurrence of errors or adverse events (p < 0.05). Furthermore, job burnout and ERI were negatively correlated with QWL (p < 0.01). Job burnout mediated (95% CI = -0.365, −0.260) the relationship between ERI and QWL, accounting for 58.65% of the total effect.Medical caregivers have a medium level of QWL. Job burnout partially mediates the relationship between ERI and QWL. Medical caregiver managers can improve QWL by directly intervening in occupational stress and indirectly intervening in job burnout.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"34 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141804393","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}
Pub Date : 2024-07-25DOI: 10.3389/fpsyg.2024.1392240
Rulin Li, Xueyan Wang, Lanjun Luo, Youwei Yuan
Depression is one of the most common mental illnesses among middle-aged and older adults in China. It is of great importance to find the crucial factors that lead to depression and to effectively control and reduce the risk of depression. Currently, there are limited methods available to accurately predict the risk of depression and identify the crucial factors that influence it.We collected data from 25,586 samples from the harmonized China Health and Retirement Longitudinal Study (CHARLS), and the latest records from 2018 were included in the current cross-sectional analysis. Ninety-three input variables in the survey were considered as potential influential features. Five machine learning (ML) models were utilized, including CatBoost and eXtreme Gradient Boosting (XGBoost), Gradient Boosting decision tree (GBDT), Random Forest (RF), Light Gradient Boosting Machine (LightGBM). The models were compared to the traditional multivariable Linear Regression (LR) model. Simultaneously, SHapley Additive exPlanations (SHAP) were used to identify key influencing factors at the global level and explain individual heterogeneity through instance-level analysis. To explore how different factors are non-linearly associated with the risk of depression, we employed the Accumulated Local Effects (ALE) approach to analyze the identified critical variables while controlling other covariates.CatBoost outperformed other machine learning models in terms of MAE, MSE, MedAE, and R2metrics. The top three crucial factors identified by the SHAP were r4satlife, r4slfmem, and r4shlta, representing life satisfaction, self-reported memory, and health status levels, respectively.This study demonstrates that the CatBoost model is an appropriate choice for predicting depression among middle-aged and older adults in Harmonized CHARLS. The SHAP and ALE interpretable methods have identified crucial factors and the nonlinear relationship with depression, which require the attention of domain experts.
{"title":"Identifying the most crucial factors associated with depression based on interpretable machine learning: a case study from CHARLS","authors":"Rulin Li, Xueyan Wang, Lanjun Luo, Youwei Yuan","doi":"10.3389/fpsyg.2024.1392240","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1392240","url":null,"abstract":"Depression is one of the most common mental illnesses among middle-aged and older adults in China. It is of great importance to find the crucial factors that lead to depression and to effectively control and reduce the risk of depression. Currently, there are limited methods available to accurately predict the risk of depression and identify the crucial factors that influence it.We collected data from 25,586 samples from the harmonized China Health and Retirement Longitudinal Study (CHARLS), and the latest records from 2018 were included in the current cross-sectional analysis. Ninety-three input variables in the survey were considered as potential influential features. Five machine learning (ML) models were utilized, including CatBoost and eXtreme Gradient Boosting (XGBoost), Gradient Boosting decision tree (GBDT), Random Forest (RF), Light Gradient Boosting Machine (LightGBM). The models were compared to the traditional multivariable Linear Regression (LR) model. Simultaneously, SHapley Additive exPlanations (SHAP) were used to identify key influencing factors at the global level and explain individual heterogeneity through instance-level analysis. To explore how different factors are non-linearly associated with the risk of depression, we employed the Accumulated Local Effects (ALE) approach to analyze the identified critical variables while controlling other covariates.CatBoost outperformed other machine learning models in terms of MAE, MSE, MedAE, and R2metrics. The top three crucial factors identified by the SHAP were r4satlife, r4slfmem, and r4shlta, representing life satisfaction, self-reported memory, and health status levels, respectively.This study demonstrates that the CatBoost model is an appropriate choice for predicting depression among middle-aged and older adults in Harmonized CHARLS. The SHAP and ALE interpretable methods have identified crucial factors and the nonlinear relationship with depression, which require the attention of domain experts.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"33 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806015","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}
Pub Date : 2024-07-25DOI: 10.3389/fpsyg.2024.1369495
Zhitao Wan, Lei chao Zhang, Li Wang, Fang Zhang
With the rapid rise of the gig economy globally, its characteristics of promoting employment and facilitating autonomy have supported its rapid growth and development in China. While the flexibility of gig work offers more employment options and income sources for workers, it also caused many problems and uncertainties. Workplace well-being is an important psychological factor that indicates the psychological state of workers and significantly predicts their behavior at work. However, previous studies on the gig economy rarely analyze gig workers’ workplace well-being, which is of great significance to improving their individual emotions, promoting their physical and mental health, and maintaining the sustainable development of the gig economy and society in general.This study draws on the cognitive-affective processing system framework to construct a moderated dual-mediator model to explore the dual influence mechanism of job autonomy on gig workers’ workplace well-being. Based on the data of 442 digital gig workers who were mainly engaged in manual labor.The survey results show that job autonomy positively affects employees’ workplace well-being, and work alienation and positive emotion mediate this relationship. Perceived algorithmic control can moderate not only the influence of job autonomy on work alienation and positive emotion but also the indirect impact of job autonomy on workplace well-being through work alienation and positive emotion.The finding of this research contributes to expand the comprehension of the relationship between gig-worker job autonomy and workplace wellbeing and this relationship’s underlying mechanism, holding significant implications for management practice.
{"title":"Navigating autonomy: unraveling the dual influence of job autonomy on workplace well-being in the gig economy","authors":"Zhitao Wan, Lei chao Zhang, Li Wang, Fang Zhang","doi":"10.3389/fpsyg.2024.1369495","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1369495","url":null,"abstract":"With the rapid rise of the gig economy globally, its characteristics of promoting employment and facilitating autonomy have supported its rapid growth and development in China. While the flexibility of gig work offers more employment options and income sources for workers, it also caused many problems and uncertainties. Workplace well-being is an important psychological factor that indicates the psychological state of workers and significantly predicts their behavior at work. However, previous studies on the gig economy rarely analyze gig workers’ workplace well-being, which is of great significance to improving their individual emotions, promoting their physical and mental health, and maintaining the sustainable development of the gig economy and society in general.This study draws on the cognitive-affective processing system framework to construct a moderated dual-mediator model to explore the dual influence mechanism of job autonomy on gig workers’ workplace well-being. Based on the data of 442 digital gig workers who were mainly engaged in manual labor.The survey results show that job autonomy positively affects employees’ workplace well-being, and work alienation and positive emotion mediate this relationship. Perceived algorithmic control can moderate not only the influence of job autonomy on work alienation and positive emotion but also the indirect impact of job autonomy on workplace well-being through work alienation and positive emotion.The finding of this research contributes to expand the comprehension of the relationship between gig-worker job autonomy and workplace wellbeing and this relationship’s underlying mechanism, holding significant implications for management practice.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"44 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141805723","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}
Pub Date : 2024-07-24DOI: 10.3389/fpsyg.2024.1458407
David Manzano-Sánchez, Noelia Belando-Pedreño, Jorge Carlos-Vivas, Paulo Jorge Martins, Manuel Gómez-López
{"title":"Editorial: Physical education, health and education innovation","authors":"David Manzano-Sánchez, Noelia Belando-Pedreño, Jorge Carlos-Vivas, Paulo Jorge Martins, Manuel Gómez-López","doi":"10.3389/fpsyg.2024.1458407","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1458407","url":null,"abstract":"","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"58 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141807001","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}
Pub Date : 2024-07-24DOI: 10.3389/fpsyg.2024.1356999
Jun Li, Lingjie Wang, Ling Pan, Ziao Hu, Ruiqiang Yin, Jia-Fu Liu
The mental health (MH) of college students has long been a crucial concern for families, educational institutions, and society. Extensive research has demonstrated the influential role of exercise motivation in shaping MH. However, further investigation is warranted to ascertain which types of exercise motivation may have more influence on the MH of college students. The present study examined the direct effects of five distinct types of exercise motivation, namely health motivation (HM), appearance motivation (APM), fun motivation (FM), ability motivation (ABM), and social motivation (SM) on MH. Additionally, the study explored the potential mediating role of physical exercise (PE) in these relationships.An cross-sectional study design was employed. A total of 433 Chinese college students participated in the study and completed our questionnaires, which included the Exercise motivation scale (EM scale), the Physical exercise scale (PE scale), and the Mental health scale (MH scale).The findings revealed a significant and positive relationship between all five categories of exercise motivation and the MH of college students. Specifically, FM was found to have the most pronounced impact on MH, followed by HM, ABM, SM, and APM, in descending order of influence. Furthermore, the impacts of HM, FM, ABM, and SM on MH were found to be partially mediated by PE. However, the association between APM and MH was entirely mediated by PE.The present study contributes to enhancing the comprehension of the underlying mechanisms behind different exercise motivations in relation to PE and MH. Additionally, it offers practical implications for developing intervention strategies for improving the MH of college students.
{"title":"Exercise motivation, physical exercise, and mental health among college students: examining the predictive power of five different types of exercise motivation","authors":"Jun Li, Lingjie Wang, Ling Pan, Ziao Hu, Ruiqiang Yin, Jia-Fu Liu","doi":"10.3389/fpsyg.2024.1356999","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1356999","url":null,"abstract":"The mental health (MH) of college students has long been a crucial concern for families, educational institutions, and society. Extensive research has demonstrated the influential role of exercise motivation in shaping MH. However, further investigation is warranted to ascertain which types of exercise motivation may have more influence on the MH of college students. The present study examined the direct effects of five distinct types of exercise motivation, namely health motivation (HM), appearance motivation (APM), fun motivation (FM), ability motivation (ABM), and social motivation (SM) on MH. Additionally, the study explored the potential mediating role of physical exercise (PE) in these relationships.An cross-sectional study design was employed. A total of 433 Chinese college students participated in the study and completed our questionnaires, which included the Exercise motivation scale (EM scale), the Physical exercise scale (PE scale), and the Mental health scale (MH scale).The findings revealed a significant and positive relationship between all five categories of exercise motivation and the MH of college students. Specifically, FM was found to have the most pronounced impact on MH, followed by HM, ABM, SM, and APM, in descending order of influence. Furthermore, the impacts of HM, FM, ABM, and SM on MH were found to be partially mediated by PE. However, the association between APM and MH was entirely mediated by PE.The present study contributes to enhancing the comprehension of the underlying mechanisms behind different exercise motivations in relation to PE and MH. Additionally, it offers practical implications for developing intervention strategies for improving the MH of college students.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"68 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806717","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}
Pub Date : 2024-07-23DOI: 10.3389/fpsyg.2024.1331597
Xia Yu, Guanwei Jang
In the new era of higher education focusing on “double first-class” development, private universities in China face significant opportunities and challenges. The success of these institutions is closely linked to effective leadership, particularly transformational leadership, which is known to inspire and motivate employees toward extraordinary achievements. This study explores the existence and impact of transformational leadership on teachers’ work performance in Chinese private universities. It aims to fill a research gap regarding the role of transformational leadership in a resource-constrained environment and provide practical insights for enhancing teachers’ work performance, thereby contributing to the rapid development of private universities and the realization of “double first-class” goals.This study employed an input-process-output approach, combining qualitative data from face-to-face interviews with 12 leaders at Guangdong University of Science and Technology and quantitative data from an electronic survey of 392 university teachers. Data were analyzed using SPSS26.0, AMOS24.0, and NVIVO14, including exploratory and confirmatory factor analyses, common method bias assessment, and correlation analysis. Structural equation modeling with AMOS24.0 was used to explore the relationship between transformational leadership and teachers’ work performance, evaluating the impact of each transformational leadership dimension.The study findings demonstrated that transformational leadership styles are being employed in Chinese private universities, albeit not extensively, with moderate effects on teachers’ work performance. The research identified organizational vision, intellectual stimulation, and personal recognition as significant drivers of enhanced performance among faculty members. Nevertheless, the study did not confirm the impact of supportive leadership, inspiring communication, and moral modeling within the context of Chinese private universities.The results highlight areas for potential development in leadership practices, including improving teachers’ competencies, motivating teachers, providing good work opportunities and environments, and building good teacher teams.
{"title":"A framework for transformational leadership to enhance teacher’s work performance","authors":"Xia Yu, Guanwei Jang","doi":"10.3389/fpsyg.2024.1331597","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1331597","url":null,"abstract":"In the new era of higher education focusing on “double first-class” development, private universities in China face significant opportunities and challenges. The success of these institutions is closely linked to effective leadership, particularly transformational leadership, which is known to inspire and motivate employees toward extraordinary achievements. This study explores the existence and impact of transformational leadership on teachers’ work performance in Chinese private universities. It aims to fill a research gap regarding the role of transformational leadership in a resource-constrained environment and provide practical insights for enhancing teachers’ work performance, thereby contributing to the rapid development of private universities and the realization of “double first-class” goals.This study employed an input-process-output approach, combining qualitative data from face-to-face interviews with 12 leaders at Guangdong University of Science and Technology and quantitative data from an electronic survey of 392 university teachers. Data were analyzed using SPSS26.0, AMOS24.0, and NVIVO14, including exploratory and confirmatory factor analyses, common method bias assessment, and correlation analysis. Structural equation modeling with AMOS24.0 was used to explore the relationship between transformational leadership and teachers’ work performance, evaluating the impact of each transformational leadership dimension.The study findings demonstrated that transformational leadership styles are being employed in Chinese private universities, albeit not extensively, with moderate effects on teachers’ work performance. The research identified organizational vision, intellectual stimulation, and personal recognition as significant drivers of enhanced performance among faculty members. Nevertheless, the study did not confirm the impact of supportive leadership, inspiring communication, and moral modeling within the context of Chinese private universities.The results highlight areas for potential development in leadership practices, including improving teachers’ competencies, motivating teachers, providing good work opportunities and environments, and building good teacher teams.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"141 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811117","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}
Pub Date : 2024-07-22DOI: 10.3389/fpsyg.2024.1412240
Wen Su, Liqin Wang, Yingmin Ding, Daliang Zhao
The autonomy-supportive coaching style is recognized for its positive impact on athletes’ well-being and performance. However, the transition of excessive autonomy into a laissez-faire coaching style has not been thoroughly examined within the context of coach evaluation scales. Existing scales focus predominantly on the positive dimensions of autonomy support, and do not possess the capabilities to measure outcomes which may be viewed as negative or other outcomes. This study aims to integrate the autonomy-supportive and laissez-faire coaching styles within the same measurement framework.Our study developed a comprehensive scale to assess both the autonomy-supportive and laissez-faire coaching styles, drawing on items from the Sport Climate Questionnaire for autonomy support and adapting items from leadership research for laissez-faire coaching. We conducted two studies: the first with 148 athletes to refine the laissez-faire items and the second with 460 athletes to validate the full scale, utilizing exploratory factor analysis, confirmatory factor analysis, and correlation analysis. We also measured internal consistency and split-half reliability.The finalized scale includes a 6-item autonomy-supportive subscale and a 5-item laissez-faire subscale. Validation processes confirmed the scale’s construct and criterion validity, alongside its reliability.The Chinese Coaches’ Autonomy-Supportive—Laissez-Faire Coaching Style Scale effectively captures both the beneficial and potentially detrimental aspects of coaching styles, addressing a critical gap in the literature and providing a reliable tool for evaluating coaching approaches.
{"title":"Development of the Chinese coaches’ autonomy-supportive—laissez-faire coaching style scale","authors":"Wen Su, Liqin Wang, Yingmin Ding, Daliang Zhao","doi":"10.3389/fpsyg.2024.1412240","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1412240","url":null,"abstract":"The autonomy-supportive coaching style is recognized for its positive impact on athletes’ well-being and performance. However, the transition of excessive autonomy into a laissez-faire coaching style has not been thoroughly examined within the context of coach evaluation scales. Existing scales focus predominantly on the positive dimensions of autonomy support, and do not possess the capabilities to measure outcomes which may be viewed as negative or other outcomes. This study aims to integrate the autonomy-supportive and laissez-faire coaching styles within the same measurement framework.Our study developed a comprehensive scale to assess both the autonomy-supportive and laissez-faire coaching styles, drawing on items from the Sport Climate Questionnaire for autonomy support and adapting items from leadership research for laissez-faire coaching. We conducted two studies: the first with 148 athletes to refine the laissez-faire items and the second with 460 athletes to validate the full scale, utilizing exploratory factor analysis, confirmatory factor analysis, and correlation analysis. We also measured internal consistency and split-half reliability.The finalized scale includes a 6-item autonomy-supportive subscale and a 5-item laissez-faire subscale. Validation processes confirmed the scale’s construct and criterion validity, alongside its reliability.The Chinese Coaches’ Autonomy-Supportive—Laissez-Faire Coaching Style Scale effectively captures both the beneficial and potentially detrimental aspects of coaching styles, addressing a critical gap in the literature and providing a reliable tool for evaluating coaching approaches.","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"36 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815145","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}
Pub Date : 2024-07-22DOI: 10.3389/fpsyg.2024.1448246
Linda Joan Harrison, Antonia Elisabeth Enikoe Baumeister, Hui Li
{"title":"Editorial: Stakeholders' perspectives on assessment and improvement of quality in early childhood education and care: a world-wide kaleidoscope","authors":"Linda Joan Harrison, Antonia Elisabeth Enikoe Baumeister, Hui Li","doi":"10.3389/fpsyg.2024.1448246","DOIUrl":"https://doi.org/10.3389/fpsyg.2024.1448246","url":null,"abstract":"","PeriodicalId":507929,"journal":{"name":"Frontiers in Psychology","volume":"48 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815054","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}
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