Assessing Two Measurements of Self-Control for Juvenile Delinquency in China

2018 ◽  
Vol 34 (2) ◽  
pp. 148-167 ◽  
Author(s):  
Xue Weng ◽  
Wing Hong Chui
Keyword(s):  
Juvenile Delinquency ◽  
Structural Equation ◽  
Empirical Test ◽  
Explanatory Power ◽  
Chinese Adolescents ◽  
Self Control ◽  
Model Fit ◽  
Equation Modeling ◽  
Future Research ◽  
Control Construct

The purpose of the present study is to examine the theoretical efficiency of Hirschi’s reconceptualization of self-control in two groups of Chinese adolescents. The study also incorporates the well-established attitudinal scale from Grasmick et al. to examine whether there are any differences in the explanatory power between the two self-control scales among a comparison group of Chinese adolescents ( N = 2,048). Structural equation modeling is applied to investigate the underlying theoretical structure of the self-control construct and the robustness of the scales across diverse samples. Our results provide evidence that Grasmick’s attitudinal scale has more explanatory power than that of Hirschi’s revised measure in predicting Chinese juvenile delinquency. Both measures show a better model fit in the offender sample than in the student counterparts. Our empirical test provides solid evidence for Grasmick’s attitudinal scale as a consistent predictor of Chinese juvenile delinquency compared with Hirschi’s revised measure. Theoretical and empirical directions for future research are discussed.

Coping as a Mediator Between Parental Attachment and Resilience: An Examination of Differential Effects Between Chinese Adolescents From Single Parent Families Versus Those From Intact Families

2018 ◽  
Vol 122 (2) ◽  
pp. 506-524 ◽  
Author(s):  
Xiamei Guo
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Parental Attachment ◽  
Single Parent ◽  
Chinese Adolescents ◽  
Maternal Attachment ◽  
Equation Modeling ◽  
Future Research ◽  
Intact Families ◽  
Single Parent Families

The crude divorce rate has been increasing steadily for over a decade in China. Consequently, more and more children have to face the challenge of growing up in single parent families. The current study investigated the mediating effects of problem-oriented and emotion-oriented coping on the relationship between parental attachment and psychological resilience among a sample of Chinese adolescents from single parent families and intact families. Participants were 975 high school students (44.30% males; aged 15–19 years, M = 16.32 years, SD = 0.74), 871 from intact families and 104 from single parent families. Structural equation modeling showed that security in maternal attachment was positively associated with resilience through the indirect effect of reduced emotion-oriented coping among adolescents from single parent families. Among adolescents from intact families, security in maternal attachment was both directly associated with resilience and indirectly through enhanced problem-oriented and reduced emotion-oriented coping. Security in paternal attachment was associated with resilience both directly and indirectly through enhanced problem-oriented coping as well among those from intact families. Female adolescents exhibited significantly lower levels of resilience than male adolescents did regardless of the marital status of their parents. Limitations and suggestions for future research are discussed.

Predictive model assessment in PLS-SEM: guidelines for using PLSpredict

2019 ◽  
Vol 53 (11) ◽  
pp. 2322-2347 ◽  
Author(s):  
Galit Shmueli ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Jun-Hwa Cheah ◽  
Hiram Ting ◽  
...  
Keyword(s):  
Model Evaluation ◽  
Structural Equation ◽  
Predictive Power ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Future Research ◽  
Model Assessment ◽  
Content Type ◽  
Path Models ◽  
Sem Analyses

Purpose Partial least squares (PLS) has been introduced as a “causal-predictive” approach to structural equation modeling (SEM), designed to overcome the apparent dichotomy between explanation and prediction. However, while researchers using PLS-SEM routinely stress the predictive nature of their analyses, model evaluation assessment relies exclusively on metrics designed to assess the path model’s explanatory power. Recent research has proposed PLSpredict, a holdout sample-based procedure that generates case-level predictions on an item or a construct level. This paper offers guidelines for applying PLSpredict and explains the key choices researchers need to make using the procedure. Design/methodology/approach The authors discuss the need for prediction-oriented model evaluations in PLS-SEM and conceptually explain and further advance the PLSpredict method. In addition, they illustrate the PLSpredict procedure’s use with a tourism marketing model and provide recommendations on how the results should be interpreted. While the focus of the paper is on the PLSpredict procedure, the overarching aim is to encourage the routine prediction-oriented assessment in PLS-SEM analyses. Findings The paper advances PLSpredict and offers guidance on how to use this prediction-oriented model evaluation approach. Researchers should routinely consider the assessment of the predictive power of their PLS path models. PLSpredict is a useful and straightforward approach to evaluate the out-of-sample predictive capabilities of PLS path models that researchers can apply in their studies. Research limitations/implications Future research should seek to extend PLSpredict’s capabilities, for example, by developing more benchmarks for comparing PLS-SEM results and empirically contrasting the earliest antecedent and the direct antecedent approaches to predictive power assessment. Practical implications This paper offers clear guidelines for using PLSpredict, which researchers and practitioners should routinely apply as part of their PLS-SEM analyses. Originality/value This research substantiates the use of PLSpredict. It provides marketing researchers and practitioners with the knowledge they need to properly assess, report and interpret PLS-SEM results. Thereby, this research contributes to safeguarding the rigor of marketing studies using PLS-SEM.

Perceived diversity and employee well-being: mediating role of inclusion

2019 ◽  
Vol 49 (5) ◽  
pp. 1121-1139
Author(s):  
Akanksha Jaiswal ◽  
Lata Dyaram
Keyword(s):  
Structural Equation ◽  
Well Being ◽  
Cognitive Outcomes ◽  
Self Control ◽  
Equation Modeling ◽  
Future Research ◽  
Full Time ◽  
Content Type ◽  
Mediating Role ◽  
Knowledge Diversity

Purpose While literature cites several distinct studies on workforce diversity and employee well-being (EWB), attention to their combined significance has been limited. Extant work highlights cognitive outcomes of diversity, while its impact on affect-related outcomes is underexplored. The purpose of this paper is to examine how employee perceptions of diversity (based on surface and/or knowledge attributes) influence their well-being and how perception of inclusion mediates this relationship. Design/methodology/approach In total, 248 full-time employees from large organizations across varied industries in India have participated in this survey-based study. Findings Structural equation modeling results indicate surface and knowledge diversity to significantly impact EWB. Surface diversity adversely affected well-being, while knowledge diversity had favorable impact. Besides, inclusion was found to be a significant mediator between knowledge diversity and well-being but not between surface diversity and well-being. Research limitations/implications Present study explores the diversity–well-being link through the lens of perceived inclusion. Future research should consider contextual factors that will influence these relationships. Practical implications Managerial nudging can enhance employee self-control, intrinsic motivation and well-being. Further, managers should note how knowledge diversity aids in well-being toward constructive cross-functional synergy building. Originality/value Study conceptualizes diversity from Indian social and employment perspectives, while incorporating inclusion as a contextual factor currently under-researched empirically in the Indian context. Further, the authors contribute to the limited literature on affect-related effects of diversity.

Antecedents of tourists’ solo travel intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Constanza Bianchi
Keyword(s):  
Travel Behavior ◽  
Structural Equation ◽  
Online Survey ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Future Research ◽  
Extended Model ◽  
Actual Behavior ◽  
Content Type ◽  
Longitudinal Methods

Purpose This study aims to empirically investigate the antecedents of tourists’ intentions to continue solo traveling. Design/methodology/approach Drawing on the theory of planned behavior (TPB), an extended model on solo travel intentions is developed that incorporates variables related to past solo travel experiences, namely, tourist satisfaction, pleasure and self-development. An online survey was applied to 187 solo tourists from different countries. Hypotheses were tested with structural equation modeling. Findings All the variables, except for subjective norms, are significant predictors of tourists’ intentions to continue solo traveling. Results confirm a good explanatory power of the extended TPB model. Research limitations/implications Caution must be exercised with the results as tourists’ actual solo travel behavior may differ from their intentions. Future research may investigate tourists’ actual behavior by using longitudinal methods and include additional demographic variables as antecedents. Originality/value This study empirically investigated the antecedents of tourists’ intentions to continue solo traveling – an under-researched topic. Previous research is mostly exploratory and largely focuses on female solo travelers.

scholarly journals How to keep teachers healthy and growing: the influence of job demands and resources

2017 ◽  
Vol 41 (8) ◽  
pp. 670-686 ◽  
Author(s):  
Arnoud T. Evers ◽  
Bogdan Yamkovenko ◽  
Daniël Van Amersfoort
Keyword(s):  
Vocational Education ◽  
Structural Equation ◽  
Explanatory Power ◽  
Job Demands ◽  
Interaction Effects ◽  
Ordinary Least Squares ◽  
Equation Modeling ◽  
Future Research ◽  
Content Type ◽  
Job Demands And Resources

Purpose Education depends on high-quality teachers who are committed to professional development and do not get burned out. The purpose of this paper was to investigate how job demands and resources can affect the health and cognitive development of teachers using the Demand-Induced Strain Compensation model. Design/methodology/approach A cross-sectional sample of 120 teachers in vocational education was used to investigate the proposed relationships and hypotheses with Ordinary Least Squares (OLS) regression method. Findings In terms of teacher health and development, significant main effects were found for several predictors. Autonomy was significantly and negatively related to emotional exhaustion. Autonomy, emotional supervisor and colleague support were significantly and positively related to teachers’ development. However, little support was found for matching hypotheses, suggesting that matching demands and resources do not offer more explanatory power for occupation outcomes than other types of interaction effects. Research limitations/implications More powerful analyses techniques like structural equation modeling could be used in future research with a larger sample size. A second limitation is common method variance. Practical implications Schools in vocational education should provide sufficient job resources, such as autonomy and emotional support, but possibly also put a limit on teacher task variety. Originality/value Job demands and resources have until now mainly been related to negative outcomes such as poor health and ill-being, while the relationship with learning has also been hypothesized and is therefore meaningful to examine. In addition, it was investigated whether interaction effects of matching demands and resources, better explain these outcomes.

The Effects of Blame Attributions and Offender Likableness on Forgiveness and Revenge in the Workplace

1999 ◽  
Vol 25 (5) ◽  
pp. 607-631 ◽  
Author(s):  
Murray Bradfield ◽  
Karl Aquino
Keyword(s):  
Theoretical Model ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Future Research ◽  
Blame Attributions ◽  
Offense Severity ◽  
Future Research Directions ◽  
Attributions Of Blame ◽  
And Behavior

This study proposes and tests a model that applies the concept of restorative justice to the enactment of revenge and forgiveness in organizations. The model draws from theories of cognitive attribution and consistency, as well as more recent theories of revenge in organizations, to describe the process by which a personal offense triggers revenge and forgiveness cognitions and behavior. Attributions of blame were predicted to directly influence the contemplation of revenge and forgiveness strategies. In turn, these cognitions were hypothesized to be the immediate precursors of behavior. It was also predicted that the likableness of the offender would be positively associated with both revenge and forgiveness cognitions. Finally, blame attribution was expected to be influenced by offense severity. To test these predictions, a survey was administered to one hundred and eighty employees of a government agency. Structural equation modeling was used to assess the significance of the pathways in the model and compare its fit to theoretically plausible rivals. Although the theoretical model fit the data well, a less constrained alternative showed a superior fit. In both the theoretical model and less constrained alternative, all but two of the predicted pathways in the model were upheld. The implications of the findings for organizations are discussed and future research directions are offered.

scholarly journals Health Personality, Consumer Health Activation, and Loneliness

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 387-387
Author(s):  
Nicholas Cone ◽  
Peter Martin
Keyword(s):  
Older Adults ◽  
Structural Equation Modeling ◽  
Health Insurance ◽  
Structural Equation ◽  
Model Fit ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Health ◽  
Supplemental Health Insurance ◽  
Specific Health

Abstract The purpose of this study was to identify relationships between health personality traits, consumer health activation (CHAI) and loneliness. Data for these analyses were collected by a large provider of Medicare Supplemental Health Insurance. The study consisted of 3,907 participants, 65 years and older. Participants were surveyed on health personality (e.g., Health Neuroticism, Health Extraversion, Health Openness, Health Agreeableness, and Health Conscientiousness), Consumer Health Activation, and Loneliness. Structural equation modeling and mediation were conducted through Mplus. The hypothesized model fit without direct paths from health personality to loneliness was not optimal. Adding direct paths from health neuroticism, health openness, and health agreeableness to loneliness resulted in an excellent fit, □2 (5) = 0.86, RMSEA = 0.00, CFI = 1.00. Health neuroticism and health openness were negatively related to health activation, which suggests respondents were less likely to be active about their health. Alternatively, health agreeableness and health conscientiousness were positively related to health activation, indicating more health activation. Mediation was tested for pathways from health personality dispositions to loneliness through health activation. The results suggest individuals higher in health neuroticism or health openness were less activated, which in turn indicated higher loneliness. Moreover, those higher in health agreeableness or health conscientiousness were more activated and indicated less loneliness. This study provides an understanding about loneliness through health personality and health activation. Future research should explore interventions for older adults with specific health personalities, or health activation to reduce loneliness levels.

scholarly journals The Impact of Perceived Social Media Marketing Activities: An Empirical Study in Saudi Context

2019 ◽  
Vol 11 (1) ◽  
pp. 134 ◽  
Author(s):  
Maha M. Khan
Keyword(s):  
Social Media ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Model Fit ◽  
Social Media Marketing ◽  
Equation Modeling ◽  
Future Research ◽  
Value Consciousness ◽  
Marketing Activities ◽  
The Impact

Purpose – The purpose is to investigate the impact of social media marketing activities in the context of Saudi consumers of social media. A research model is developed in this study to examine the relationships. Design/methodology/approach – This research is quantitative and uses the probability sampling technique, simple random sampling. Data is collected through a questionnaire in a survey of 241 Saudi social media users. Structural equation modeling (SEM) with PLS 3 was used with SPSS 22.0 for statistical data analysis. Chi–square and overall model fit indices further confirm the structural model fit. Findings – The results indicate that social media marketing activities significantly influence brand loyalty, purchase intentions, value consciousness and brand consciousness; brand loyalty has a significant statistical impact on eWOM; eWOM influences purchase intention significantly; brand consciousness does not mediate the relationship between perceived social media marketing and brand loyalty, while value consciousness mediates this relationship. Research limitations/ future research – The research is limited to Saudi social media users and this limits the results from being generalized. Future research must be conducted in other countries. Moreover, limited research is conducted with these variables in previous studies. Originality/value – This article is pioneering in that it investigates the effects of social media marketing in the context of Saudi consumers, a topic of relevance for both marketers and scholars in the era of social media. It provides empirical evidence and valuable insights through a proposed model.

scholarly journals Relationship Marketing in Tertiary Education: Empirical Study of Relationship Commitment and Student Loyalty in Hong Kong

2018 ◽  
Vol 11 (2) ◽  
pp. 205
Author(s):  
Wong H ◽  
Wong R ◽  
Leung S
Keyword(s):  
Hong Kong ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Positive Impact ◽  
Tertiary Education ◽  
Explanatory Power ◽  
Relationship Commitment ◽  
Equation Modeling ◽  
Future Research ◽  
Student Loyalty

This study attempts to investigate the applicability of relationship marketing concepts in the private tertiary education industry. With the rapid growth of tertiary education and new academic structure in Hong Kong, it is interesting to investigate the relationship between relationship commitment and student loyalty, and the key determinants of relationship commitment, in a leading private tertiary education institution in Hong Kong. Questionnaires were designed to collect data, and structural equation modeling approach was adopted to evaluate the explanatory power and casual links of the model. The results indicate that relationship commitment is a driver of student loyalty. Relationship benefits and trust are found to have positive influence on relationship commitment. Relationship termination costs and shared values are found to have non-significant roles in determining relationship commitment in private tertiary education environment, while shared value has a significant positive impact on trust. The research provides new insights to the management of private tertiary education providers in building relationship with students and resources allocation. The study discusses the implications of the findings and suggests areas for future research.

scholarly journals Does financial behavior mediate the relationship between self-control and financial security?

2021 ◽  
Vol 12 (1) ◽  
pp. 27-36
Author(s):  
Marija Vukovic ◽  
Snjezana Pivac
Keyword(s):  
Structural Equation ◽  
Mediating Effect ◽  
Self Control ◽  
Financial Behavior ◽  
Psychological Characteristics ◽  
Equation Modeling ◽  
Future Research ◽  
Financial Security ◽  
The Impact ◽  
The Relationship

People have different financial behavior depending on their psychological characteristics, which can reflect their financial security. Self-control is also an important predictor of financial security. People with greater self-control are more likely to save money and less likely to get into debt. Therefore, they are more secure and satisfied with their financial situation. This paper explores whether good self-control directly affects financial security or if its impact comes indirectly through good financial behavior. For the purposes of the research, a survey analysis was designed and applied to a sample of 494 respondents. Structural equation modeling was used for testing the research hypothesis. The results confirmed that there is a significant mediating effect of financial behavior on the relationship between self-control and financial security. The research contributes to a better understanding of financial behavior predictors among individuals with different psychological characteristics. Future research should also include testing for differences between various demographic groups of people in the impact of self-control on financial behavior and security.

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