Development and validation of a contextualised measure of resilience in veterinary practice: the Veterinary Resilience Scale–Personal Resources (VRS–PR)

2020 ◽  
Vol 186 (15) ◽  
pp. 489-489 ◽  
Author(s):  
Susan M Matthew ◽  
Kira J Carbonneau ◽  
Caroline F Mansfield ◽  
Sanaa Zaki ◽  
Martin A Cake ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Convergent Validity ◽  
Structural Equation ◽  
Personal Resources ◽  
Veterinary Practice ◽  
Equation Modelling ◽  
Resilience Scale ◽  
Development And Validation

BackgroundThis article reports on the development and validation of a contextualised measure of personal resources for resilience in veterinary practice.MethodsExploratory factor analysis and structural equation modelling were used to evaluate data from two surveys of veterinary practitioners.ResultsExploratory factor analysis of the first survey (n=300) revealed six items comprising the Veterinary Resilience Scale–Personal Resources (VRS–PR). These items focused on flexibility, adaptability, optimism, building strengths, enjoying challenges, and maintaining motivation and enthusiasm at work. Structural equation modelling using the second survey (n=744) confirmed the factor structure of the VRS–PR and established convergent validity with an established measure of general resilience, the Brief Resilience Scale. Examination of the mean and standard deviation of the combined survey data enabled scores on the VRS–PR to be provisionally classified into ‘low’, ‘moderate’ and ‘high’ (reported by approximately 13%, 72% and 15% of respondents, respectively). Respondents also reported results spanning ‘low’, ‘moderate’ and ‘high’ classifications for the Brief Resilience Scale (approximately 34%, 57% and 9%, respectively).ConclusionThe VRS–PR may be used to evaluate the extent to which respondents draw upon the personal resources captured in the scale and identify areas for improvement.

Principals' Developmental Leadership Behaviors: Validating a Scale with Structural Equation Modelling

2014 ◽  
Vol 2 (4) ◽  
pp. 77-86
Author(s):  
Fanny Kho Chee Yuet ◽  
Hamidah Yusof ◽  
Syed Ismail Syed Mohamad
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modelling ◽  
Convergent Validity ◽  
Structural Equation ◽  
Teacher Leaders ◽  
Discriminant Validity ◽  
Leadership Behaviors ◽  
Measurement Models ◽  
Equation Modelling ◽  
Critical Components

Objective - The main objective of this empirical study was to validate a substantiated Principals' Developmental Leadership Behaviors Model (PDLBM) and an instrument to identify critical components of Principals' Developmental Leadership Behaviors (PDLB) in Malaysian secondary schoolcontext. Methodology/Technique - Structural Equation Modelling was employed to test the model. Exploratory Factor Analysis was applied to identify the underlying factors, whereas Confirmatory Factor Analysis was employed to test the measurement models. Findings - The analysis yielded a three-factor PDLBM: (1) focused, (2) supportive and (3) developer which supported evidence for convergent validity, construct reliability and discriminant validity. Novelty - The PDLBM is a coherent premier tested model derived in a local Malaysian cultural educational setting which provides direction for practitioners in planning and designing specific training programs for developing leadership competency among teacher leaders, with the enhancement of PDLB in Malaysian secondary schools. Type of Paper - Empirical Keywords : Principals' Developmental Leadership Behaviors; Structural Equation Modelling; Focused; Supportive; Developer; Teacher Leaders.

Environmental factors influencing the perceptions of urban ecotourism among host communities in South Africa

2020 ◽  
Vol 15 (4) ◽  
pp. 123-148
Author(s):  
Modjadji Matilda Mashapa ◽  
Eugine Tafadzwa Maziriri
Keyword(s):  
Factor Analysis ◽  
Environmental Factors ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Survey Methodology ◽  
Environmental Benefits ◽  
Specific Reference ◽  
Environment Impact ◽  
Equation Modelling

This study identified environmental factors that influence perceptions of urban ecotourism among host communities, with specific reference to city parks in South Africa's Gauteng Province. This research adopted a quantitative approach, using the survey methodology in which 378 community members from Ivory Park, Ebony Park and Kaalfontein were given detailed questionnaires. The collected data were analysed utilising exploratory factor analysis (EFA) and structural equation modelling, by means of the Smart PLS software. The results of the exploratory factor analysis showed that, for the environment impact construct, four factors were extracted: rules, nature conservation, participation and environmental benefits. The results of the structural equation modelling established that there is a positive and significant

scholarly journals MODEL PENGUKURAN KOMPETENSI KERJA GURU

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Mohd Faiz Bin Mohd Yaakob ◽  
Jamal@Nordin Yunus
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Social Science ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling ◽  
Confirmatory Factor

Kajian ini bertujuan untuk menganalisis pengujian model pengukuran Kompetensi Kerja Guru (KKG).Soal selidik  yang digunakan ialah daripada Penilaian Bersepadu Pegawai Perkhidmatan Pendidikan, 2013 yang mengandungi 33 item dan tigafaktoriaitu i) Profesionalisme, ii) Pengetahuan, dan iii) Kemahiran. Kajianinimelibatkan 612 guru sekolah kebangsaan dari 5 zon di Malaysia melibatkan negeri Kedah, Selangor, Johor, Terengganu and Sarawak. Analisis statistik daripada Statistical Package for Social Science (SPSS) dan Structural Equation Modelling (SEM) digunakan menganalisis data. AnalisisPenerokaan Faktor atau Exploratory Factor Analysis (EFA) dan Analisis Pengesahan Faktor atau Confirmatory Factor Analysis (CFA)digunakan untuk mengenal pasti faktor yang membentuk model pengukuran Komuniti Pembelajaran Profesional. Dapatan menunjukkan ketiga-tigafaktor (i) Profesionalisme, (ii) Pengetahuandan (iii) Kemahiran berjaya membentuk model pengukuran Kompetensi Kerja Guru. Indeks kesepadanan model menunjukkan RMSEA=0.079, CFI=0.940, ChiSq/df= 4.785 dan PCFI=0.811. Kesemua indeks ini mencapai tahap yang diperlukan dan akhirnya sebuah model pengukuran Kompetensi Kerja Guru berjaya dibangunkan.

The Utility of Network Analysis for Personality Psychology

2012 ◽  
Vol 26 (4) ◽  
pp. 446-447 ◽  
Author(s):  
Ulrich Schimmack ◽  
Judith Gere
Keyword(s):  
Factor Analysis ◽  
Network Analysis ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Personality Psychology ◽  
Equation Modelling ◽  
Scale Scores ◽  
Descriptive Method

We note that network analysis provides some new opportunities but also has some limitations: (i) network analysis relies on observed measures such as single items or scale scores; (ii) it is a descriptive method and, as such, cannot test causal hypotheses; and (iii) it does not test the influence of outside forces on the network, such as dispositional influences on behaviour. We recommend structural equation modelling as a superior method that overcomes limitations of exploratory factor analysis and network analysis. Copyright © 2012 John Wiley & Sons, Ltd.

scholarly journals Satisfaction of tourists to Hoi An ancient town, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Dinh Kiem ◽  
Le Thai Son ◽  
Truong Quoc Dung
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Quality ◽  
Exploratory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Tourist Satisfaction ◽  
Equation Modelling ◽  
Confirmatory Factor

This research uses structural equation modelling (SEM) to test the correlation between service quality of the tourism destination and the satisfaction of the tourists who have visited Hội An ancient town. The research also uses the methods of Cronbach’s Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and SEM. The result shows that the tourist satisfaction has been affected by 3 factors: (1) Responsiveness; (2) Reliability; and (3) Empathy which were ranked by the importance. The research also raises some suggestions to the management and the tourist businesses at Hội An to enhance the tourists satisfaction.

scholarly journals MICE tourism development- Examination from the supply side in Dalat City, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Le Thai Son
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Supply Side ◽  
Policy Makers ◽  
Factors Affecting ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Main Factors

The research attempted to examine resource factors affecting the development of MICE at Dalat, by determining the stakeholders, and by interviewing 350 resources (means from the supply side). The methods of Cronbach’s Alpha, Exploratory Factor Anaalysis (EFA), Confirmatory Factor Analysis (CFA) together the Structural Equation Modelling (SEM) were used by the programs of SPSS and AMOS.The result shows that MICE development is affected by MICE destination resources, then MICE destination resources is affected by 3 main factors, arranged by the importance decreasing: (1) Organization resources; (2) MICE tourist resources; (3) Supplier resources. From that, the research raises some solutions for management and policy makers to develop MICE better.

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