scholarly journals Psychological antecedents of youth versus adult participation: An examination based on the Sport Commitment Model

2016 ◽  
Vol 2 (2) ◽  
pp. 103-125 ◽  
Author(s):  
Jung-Hwan Jeon ◽  
Jonathan Casper
Keyword(s):  
Structural Equation ◽  
Sport Activity ◽  
Age Groups ◽  
Social Constraints ◽  
Equation Modeling ◽  
Social Variables ◽  
Sport Commitment ◽  
Adult Participation ◽  
Modeling Analysis ◽  
The Social

This study examined adult and youth Taekwondo (TKD) participants utilizing the Sport Commitment Model (SCM). In addition to direct effects predicting commitment, indirect effects of enjoyment as a mediating variable were examined. TKD participants (adult, n = 204; youth, n = 227) from four studios completed a questionnaire that included SCM variables (commitment, enjoyment, involvement alternatives, involvement opportunities, personal investments, social constraints, and social support). Structural equation modeling analysis compared age groups to assess similarities and differences. Similarities between age groups included involvement opportunities and personal investments being significant predictors of commitment while involvement alternatives were a significant detractor of commitment. Analysis of differences found that the social variables (i.e., social constraints and support) and enjoyment were significant predictors for youth only. This was the first study examining the SCM with both youth and adults participating in the same sport activity. Findings are discussed relative to theoretical and practical implications.  

A Test of the Sport Commitment Model Using Structural Equation Modeling

1993 ◽  
Vol 15 (2) ◽  
pp. 119-133 ◽  
Author(s):  
Paul J. Carpenter ◽  
Tara K. Scanlan ◽  
Jeffery P. Simons ◽  
Marci Lobel
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Team Sports ◽  
Social Constraints ◽  
Equation Modeling ◽  
Sport Commitment ◽  
Modeling Analysis ◽  
Proposed Model ◽  
Initial Hypothesis ◽  
Males And Females

This article presents the results of a structural equation modeling analysis of the Sport Commitment Model. This model proposes that commitment is determined by sport enjoyment, involvement alternatives, personal investments, social constraints, and involvement opportunities. Preliminary analyses demonstrated that the model was applicable to both younger (< 12 years old) and older (> 13 years old) athletes, to males and females, and to three different team sports. Structural equation modeling results demonstrated that the proposed model was a good fit of the data (CFI = .981), with the findings accounting for 68% of the commitment variance. As predicted, greater sport enjoyment, involvement opportunities, and the personal investments of time and effort led to greater commitment. Counter to our initial hypothesis, commitment was negatively related to social constraints. Measurement problems led to the involvement alternatives component being excluded from tests of the model presented here, but not from the theoretical model.

scholarly journals Validation and measurement invariance of the Occupational Depression Inventory in South Africa

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261271
Author(s):  
Carin Hill ◽  
Leon T. de Beer ◽  
Renzo Bianchi
Keyword(s):  
South Africa ◽  
Measurement Invariance ◽  
South African ◽  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Age Groups ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
African Context

This study aimed to validate the recently developed Occupational Depression Inventory (ODI) in South Africa. A total of 327 employees (60% female) participated in the study. Bifactor exploratory structural equation modeling analysis indicated that the ODI can be considered essentially unidimensional. The ODI displayed strong scalability (e.g., scale-level H = 0.657). No monotonicity violation was detected. The reliability of the instrument, as indexed by Cronbach’s alpha, McDonald’s omega-total, Guttman’s λ2, and the Molenaar-Sijtsma statistic, was highly satisfactory. Measurement invariance was observed across age groups, sexes, and ethnicities, as well as between our sample and the ODI’s original validation sample. As expected, the ODI showed both a degree of convergent validity and a degree of discriminant validity vis-à-vis a measure of “cause-neutral” depressive symptoms. Moreover, the ODI manifested substantial associations, in the anticipated directions, with measures of work engagement, job satisfaction, and life satisfaction. Overall, the ODI exhibited excellent structural and psychometric properties within the South African context. Consistent with previous research, this study suggests that occupational health specialists can confidently rely on the ODI to investigate job-related distress.

User Acceptance of Voice Recognition Technology

2011 ◽  
pp. 150-170 ◽  
Author(s):  
Steven John Simon ◽  
David Paper
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Voice Recognition ◽  
The United States ◽  
Growth Potential ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
The Social ◽  
Acceptance Model

Voice recognition technology-enabled devices possess extraordinary growth potential, yet some research indicates that organizations and consumers are resisting their adoption. This study investigates the implementation of a voice recognition device in the United States Navy. Grounded in the social psychology and information systems literature, the researchers adapted instruments and developed a tool to explain technology adoption in this environment. Using factor analysis and structural equation modeling, analysis of data from the 270 participants explained almost 90% of the variance in the model. This research adapts the technology acceptance model by adding elements of the theory of planned behavior, providing researchers and practitioners with a valuable instrument to predict technology adoption.

User Acceptance of Voice Recognition Technology

2008 ◽  
pp. 965-985
Author(s):  
Steven John Simon ◽  
David Paper
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Voice Recognition ◽  
The United States ◽  
Growth Potential ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
The Social ◽  
Acceptance Model

Voice recognition technology-enabled devices possess extraordinary growth potential, yet some research indicates that organizations and consumers are resisting their adoption. This study investigates the implementation of a voice recognition device in the United States Navy. Grounded in the social psychology and information systems literature, the researchers adapted instruments and developed a tool to explain technology adoption in this environment. Using factor analysis and structural equation modeling, analysis of data from the 270 participants explained almost 90% of the variance in the model. This research adapts the technology acceptance model by adding elements of the theory of planned behavior, providing researchers and practitioners with a valuable instrument to predict technology adoption.

Social Dominance Orientation and Discrimination against People with Schizophrenia: Evidence of Medicalization and Dangerousness Beliefs as Legitimizing Myths

2018 ◽  
Vol 21 ◽  
Author(s):  
Dimitrios Lampropoulos ◽  
Thémis Apostolidis
Keyword(s):  
Social Distance ◽  
Social Dominance ◽  
Structural Equation ◽  
Social Dominance Orientation ◽  
Equation Modeling ◽  
Social Dominance Theory ◽  
Modeling Analysis ◽  
The Social ◽  
Humanities Students

AbstractMedicalizing beliefs about schizophrenia (biogenetic causes and psychiatric labels) are connected to the belief that people with schizophrenia are dangerous and to discriminating intentions towards them. In this research, we draw on the Social Dominance theory and we examine these beliefs as legitimizing myths that are connected to the individuals’ social dominance orientation (SDO) and that legitimize discrimination. In total, 238 Humanities students participated in the current research (Mage = 20.4; SD = 3.03; 107 male and 131 female). A vignette presenting a person with schizophrenia symptoms that offered no labels or explanations about the depicted person’s condition was presented to research participants. A structural equation modeling analysis was carried out, in order to confirm our hypotheses in accordance with social dominance theory. Participants’ social dominance orientation (SDO) was associated with higher endorsement of medicalizing (β = .16, p < .01) and dangerousness beliefs (β = .22, p < .001). In turn, medicalizing beliefs were connected to dangerousness (β = .21, p < .001) and higher discriminating intentions, both for desired social distance (β = .15, p < .05) and for deprivation of sociopolitical rights (β = .14, p < .05). Dangerousness was highly associated with both these measures (β = .28, p < .001 and β = 43, p < .001 respectively) while SDO was not significantly associated with discriminating intentions. Our model showed good fit to the data. This study confirms the role of SDO in schizophrenia stigma and the fact that ideological and power factors underpin the stigma of schizophrenia.

When do customers engage in brand pages? Effects of social presence

2019 ◽  
Vol 31 (9) ◽  
pp. 3627-3645 ◽  
Author(s):  
Jahyun Song ◽  
Hyoungeun Moon ◽  
Miyoung Kim
Keyword(s):  
Social Presence ◽  
Social Identity Theory ◽  
Structural Equation ◽  
Customer Engagement ◽  
Equation Modeling ◽  
Content Type ◽  
Modeling Analysis ◽  
The Social ◽  
Human Likeness ◽  
Human Side

Purpose Drawing upon the social presence theory, this paper aims to propose three social presence variables in the brand page context (the brand page as a medium, the presence of other customers and interaction with the brand page manager) and to test their effects on customer engagement behavior (CEB) and customer-brand identification (CBI). Design/methodology/approach A total of 340 responses were collected via an online research platform and analyzed using structural equation modeling analysis. Findings The results revealed that both the social presence of the brand page and the interaction with the brand page manager are positively associated with CEB, whereas that of other customers negatively influences CEB, which in turn, positively affects CBI. Research limitations/implications This paper presents the underlying process of driving customers’ engagement activities and building psychological closeness between customers and brands by applying social presence theory and social identity theory to Facebook brand pages. Practical implications To enhance customers’ experiences on Facebook brand pages, practitioners should visualize brand page managers through diverse types of postings. Brand page managers need to balance the presence of others, as well as bring a sense of human-likeness on the pages using storytelling strategies. Originality/value This research sheds light on the human side of a non-human world. The results suggest that the sense of a human presence in virtual brand communities is essential to engage customers with online activities toward brands while also building a closer customer–brand relationship.

Sign in / Sign up

Export Citation Format

Share Document