Determinants of Children’s Self-Esteem: An Examination of Perceived Competence and Affect in Sport

1998 ◽  
Vol 10 (3) ◽  
pp. 285-298 ◽  
Author(s):  
Vicki Ebbeck ◽  
Maureen R. Weiss
Keyword(s):  
Structural Equation Modeling ◽  
Positive Affect ◽  
Structural Equation ◽  
Structural Models ◽  
Self Esteem ◽  
Perceived Competence ◽  
Self Report ◽  
Equation Modeling ◽  
Sample Data ◽  
Modeling Techniques

The present study examined perceived sport competence and affect experienced in sport as possible determinants of children’s levels of self-esteem. The sample consisted of 183 summer sport program participants ranging in age from 8 to 13 years. The children completed self-report questionnaires that assessed the constructs of interest. Hypothesized relationships among the constructs were then examined using structural equation modeling techniques. The results revealed that both structural models tested provided an adequate fit with the sample data. For the affect mediator model, perceived competence significantly influenced positive affect and to a lesser degree negative affect, while only positive affect influenced self-esteem. For the perceived competence mediator model, only positive affect significantly influenced perceived competence, which in turn significantly influenced self-esteem. Thus, higher scores on perceived competence and positive affect were associated with higher scores in children’s self-esteem.

On the Structure of Affect

2021 ◽  
Vol 229 (1) ◽  
pp. 24-37 ◽  
Author(s):  
Nadine Wedderhoff ◽  
Timo Gnambs ◽  
Oliver Wedderhoff ◽  
Tanja Burgard ◽  
Michael Bošnjak
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Factor Model ◽  
Self Report ◽  
Equation Modeling ◽  
Positive And Negative Affect ◽  
Correlation Matrices ◽  
The World ◽  
Best Fit ◽  
Cross National

Abstract. The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988 ) is a popular self-report questionnaire that is administered all over the world. Though originally developed to measure two independent factors, different models have been proposed in the literature. Comparisons among alternative models as well as analyses concerning their robustness in cross-national research have left an inconclusive picture. Therefore, the present study evaluates the dimensionality of the PANAS and differences between English and translated versions of the PANAS using a meta-analytic structural equation modeling approach. Correlation matrices from 57 independent samples ( N = 54,043) were pooled across subsamples. For both English and non-English samples, a correlated two-factor model including correlated uniquenesses provided the best fit. However, measurement invariance analyses indicated differences in factor loadings between subsamples. Thus, cross-national application of the PANAS might only be justified if measurement equivalence was explicitly tested for the countries at hand.

scholarly journals The relations among empathy, occupational commitment, and emotional exhaustion of nurses

Medicina ◽  
2007 ◽  
Vol 43 (5) ◽  
pp. 425 ◽  
Author(s):  
Saule Raižiene ◽  
Aukse Endriulaitiene
Keyword(s):  
Structural Equation Modeling ◽  
Emotional Exhaustion ◽  
Structural Equation ◽  
Maslach Burnout Inventory ◽  
Self Report ◽  
Occupational Commitment ◽  
Reactivity Index ◽  
Equation Modeling ◽  
Sample Group ◽  
Nursing Experience

The objective of this study was to determine whether empathy and occupational commitment significantly contribute to the emotional exhaustion of nurses. The sample group was 158 nurses from two regional Lithuanian hospitals, who completed self-report measures. A questionnaire consisted of 10 items reflecting empathy appearing on Davis (1983) Indi- vidual Reactivity Index, 4 occupational commitment items from Miller et al. (1988), and 7 emotional exhaustion items from the Maslach Burnout Inventory (Maslach, Jackson, 1981). Correlation analyses and structural equation modeling were employed to interpret the results. The results showed that nurses’ occupational commitment plays an important role in the degree of emotional exhaustion they experience. Nurses having more empathy are more likely to develop higher occupational commitment. In addition, it was found that higher levels of empathy and occupational commitment of nurses are associated with lower emotional exhaustion. Nurses who stayed in the profession longer developed stronger occupational commitment. Therefore, the conclusion was made that differences in emotional exhaustion among nurses may be explained directly by occupational commitment and indirectly by empathy and nursing experience.

scholarly journals Attachment yang Terjalin Selama Pandemi terhadap Self - Esteem Remaja

2022 ◽  
Vol 7 (1) ◽  
pp. 286
Author(s):  
Khalida Zia Br.Siregar ◽  
Ratnasari Hinggardipta ◽  
Venazmi Livia Buamona
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Self Esteem ◽  
Peer Attachment ◽  
Equation Modeling ◽  
Mother Attachment ◽  
Father Attachment

Penelitian ini bertujuan untuk mengetahui hubungan antara attachment dengan self-esteem remaja serta memberikan gambaran keterikatan remaja dengan ayah, ibu dan teman selama pandemic covid-19 terhadap harga diri (self esteem) remaja. Penelitian dilakukan dengan sampel 319 siswa berusia 12 – 18. Data diperoleh Menggunakan alat ukur Parents Peer Attachment Revised (IPPA-R) dan Rosenberg Self Esteem Scale (RSES). Analisis data menggunakan model persamaan struktural (Structural Equation Modeling atau SEM) yang dibantu dengan program aplikasi SmartPLS. Hasil analisis menunjukan hubungan positif antara Attachment terhadap selfesteem. Pada situasi pandemic ini terlihat bahwa peer-attachment kurang signifikan terhadap attachment dan self-esteem sedangkan Father-Attachment lebih signifikan disbanding Mother attachment terhadap attachment dan pengaruhnya dengan self-esteem.

To Be Or Not To Be Visible In Company-Managed Virtual Communities?

2014 ◽  
Vol 5 (4) ◽  
pp. 20-37
Author(s):  
Imene Ben Yahia
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Quality ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Virtual Communities ◽  
Group Analysis ◽  
Virtual Community ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
The Relationship

This research investigates how the companies' efforts' visibility influence VCs members' loyalty. Based on the relationship marketing and the signaling theory, it posits that perceived benefits by members influence loyalty through the full mediation of the relationship investments and the relationship quality. However, this influence is moderated by the visibility of companies' efforts. Data from 342 members of company-managed virtual communities were collected. The sample was divided into two groups according to the visibility of the company's efforts. Data were analyzed using structural equation modeling techniques and multi-group analysis. Results show that this influence is significant when the efforts of the company are visible and not significant when they are not. Providing benefits to members is then not enough to foster loyalty. The company has to be a visible partner who contributes in the success of the virtual community.

The Role of Motivation, Ability, and Opportunity in Achieving Effective Knowledge-Work

2016 ◽  
Vol 12 (4) ◽  
pp. 20-36 ◽  
Author(s):  
Rezvan Hosseingholizadeh ◽  
Somayyeh Ebrahimi Koushk Mahdi ◽  
Hadi El-Farr
Keyword(s):  
Structural Equation ◽  
Extrinsic Motivation ◽  
Empirical Support ◽  
Knowledge Work ◽  
Work Behavior ◽  
Self Report ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
The Impact

This study aims to empirically test the impact of the Motivation-Ability-Opportunity- (MAO) model on knowledge work. We propose that knowledge work is a function of employees' motivation, ability and opportunity. In this regard, the aim is to provide empirical support to explain the effects of motivation, ability and opportunity on knowledge-work, which we defined as a knowledge-centered behavior. Data was collected through a self-report questionnaire. A sample size of 350 employees of Ferdowsi University of Mashhad answered the questionnaire. Structural equation modeling techniques and hierarchical multiple regression analyses were conducted on hypothesis testing. The findings confirm that motivation, ability and opportunity independently influence knowledge-work behavior. Also, results revealed that both intrinsic and extrinsic motivation has significant influence on knowledge work; however intrinsic motivation has a higher effect than extrinsic motivation.

scholarly journals Predicting Changes in PM Exposure Over Time at U.S. Trucking Terminals Using Structural Equation Modeling Techniques

2009 ◽  
Vol 6 (7) ◽  
pp. 396-403 ◽  
Author(s):  
Mary E. Davis ◽  
Francine Laden ◽  
Jaime E. Hart ◽  
Eric Garshick ◽  
Andrew Blicharz ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
Over Time

scholarly journals Electronic Word-of-Mouth for Online Retailers: Predictors of Volume and Valence

2019 ◽  
Vol 11 (3) ◽  
pp. 814 ◽  
Author(s):  
Bogdan Anastasiei ◽  
Nicoleta Dospinescu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Affective Commitment ◽  
Word Of Mouth ◽  
Equation Modeling ◽  
Electronic Word Of Mouth ◽  
Online Retailer ◽  
Important Impact ◽  
Online Retailers ◽  
Modeling Techniques

The goal of this research was to build a model that evaluates the influence of affective commitment, high-sacrifice commitment, and satisfaction on the customers’ word-of-mouth concerning an online retailer. Two word-of-mouth dimensions were considered: volume and valence. A survey was administered to 282 respondents and structural equation modeling techniques were used to process the data and test the hypotheses. Our findings show that satisfaction and high-sacrifice commitment have an important impact on both word-of-mouth volume and valence, while affective commitment only influences word-of-mouth valence. This paper offers detailed explanations of these results in light of other theories and studies in the field.

scholarly journals Teaching Digital Competence and Eco-Responsible Use of Technologies: Development and Validation of a Scale

2020 ◽  
Vol 12 (18) ◽  
pp. 7721 ◽  
Author(s):  
Raquel Barragán-Sánchez ◽  
María-Carmen Corujo-Vélez ◽  
Antonio Palacios-Rodríguez ◽  
Pedro Román-Graván
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Digital Technologies ◽  
Equation Modeling ◽  
Content Validation ◽  
Digital Competence ◽  
Validation Process ◽  
Modeling Techniques ◽  
Development And Validation

The environmental impact produced by digital technologies is one of the fundamental contents to be developed by teachers of the 21st century. Different investigations raise the need to redesign education towards sustainable models and promote a critical look at digital technologies. The main objective of this manuscript is to design a valid, reliable and useful scale to measure self-perceived teacher digital competence regarding the eco-responsible use of technologies. The instrument has been designed based on a detailed analysis of the main frameworks for the development of digital competence in Europe: INTEF and DigCompEdu. A content validation process has been followed through the expert judgment method. Subsequently, its reliability and validity are estimated using structural equation modeling techniques. The results obtained guarantee the reliability and validity of the model. Therefore, the need to establish environmental teacher training plans and more awareness about the eco-responsible use of technologies is established.

scholarly journals LEARNING ENVIRONMENT, STUDENTS’ BELIEFS, AND SELF-REGULATION IN LEARNING PHYSICS: STRUCTURAL EQUATION MODELING

2019 ◽  
Vol 18 (3) ◽  
pp. 389-403 ◽  
Author(s):  
Maison Maison ◽  
Syahrial ◽  
Syamsurizal ◽  
Tanti
Keyword(s):  
Structural Equation Modeling ◽  
Learning Environment ◽  
Structural Equation ◽  
Self Regulation ◽  
The Self ◽  
Self Report ◽  
Equation Modeling ◽  
Public High Schools ◽  
Affective Component ◽  
Research Areas

Studies of correlations between students’ beliefs and various aspects of student learning become one of the fastest growing research areas in the field of education and psychology. The aim of the current research was to analyze the correlations between learning environments, students' beliefs, and self-regulation in learning physics through structural equation modeling (SEM). There were 1010 students from the existing five public high schools in Jambi city, Indonesia, participating in the research. Three self-report questionnaires including (1) WIHIC, (2) CLASS, and (3) MSLQ were used to collect the research data. The data analysis showed that students’ beliefs were significantly and positively correlated with multiple dimension of self-regulation in learning physics (critical thinking and peer learning); while the dimension of sense-making and problem-solving ability significantly related to the affective component of self-regulation (test anxiety). However, the dimension of students’ beliefs did not have any significant effect on all of the self-regulation components. Additionally, learning environment dimensions were significantly related to students’ beliefs about physics on the dimension of conceptual connection and related to all of the self-regulation dimensions. Keywords: learning environment, self-regulation, students' beliefs, structural equation modeling.

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