scholarly journals The GAP Model of e-Government Service in Thailand e-Tourism

2020 ◽  
Vol 14 (1) ◽  
pp. 11-19
Author(s):  
Sudarat Pongamponkaiwan ◽  
Adisorn Leelasantitham
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Quality ◽  
Confidence Level ◽  
Theoretical Models ◽  
Chi Square ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Actual Service ◽  
The Government

The objectives of this research were to develop service quality factors for Thailand’s e-Tourism provided by the government. This was done using Thai tourists as the samples who have used Thailand’s e-Tourism service to find out service quality using a total of 385 samples and determining the confidence level at 95 percent. The tool used for data collection was a service quality questionnaire for Thailand’s e-Tourism provided by the government. The confidence level for the whole research effort was 0.856 and the confidence level for each question was in the range 0.824-0.926. The statistics used in the data analysis included confidence test, frequency distribution, percentage, mean, standard deviation, coefficient of dispersion, skewness, kurtosis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). The results of the study showed that the exploratory factor analysis of the expectations and actual service received gave five factors (KMO = 0.789). Those indicators were not different from the theoretical models obtained from the confirmatory factor analysis. The five factors included 1) Tangibles, 2) Reliability, 3) Responsiveness, 4) Assurance, and 5) Empathy. The factors’ indicators are not different from the theoretical models. The researchers have modified the component of the second confirmatory factor analysis (S-CFA) model to check the construct validity of the scale after modifying the component and found Chi Square = 220.734, df = 165,     P = 0.002, Chi Square/df = 1.338, GFI = 0.913, AGFI = 0.878, CFI = 0.980, (RMR) = 0.018, and RMSEA = 0.040. This indicates that expectation for service, and actual service received, which affect user satisfaction, can create users’ loyalty. This results in the analytical model for the service quality component for Thailand’s e-Tourism provided by the government matching the empirical data

scholarly journals Evaluation of Risk Perception of COVID-19 Disease: A Community-Based Participatory Study

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Ezat Samadipour ◽  
Fatemeh Ghardashi ◽  
Nahid Aghaei
Keyword(s):  
Factor Analysis ◽  
Risk Perception ◽  
Confirmatory Factor Analysis ◽  
Online Survey ◽  
Social Dimension ◽  
Cultural Dimension ◽  
Confirmatory Factor ◽  
Close Supervision ◽  
Medium Level ◽  
The Government

ABSTRACT Objective: How people behave in a crisis depends on their understanding and evaluation of risk and vulnerability. Therefore, this study was conducted to investigate the Iranians’ risk perception of coronavirus disease (COVID-19). Methods: An online survey was applied, which resulted in the collection of information on demographics, the 5 dimensions of risk perception (cognitive, political, social, cultural, and emotional), and trust in the government among the Iranian users of social networks. Data were analyzed by descriptive and analytical tests of SPSS (IBM Corp, Armonk, NY) software, and confirmatory factor analysis of Amos software. Results: A total of 364 persons from 20 provinces completed the questionnaire during February 25 to March 2, 2020. More than 80% of the participants believed that negligence and lack of close supervision of the authorities have led to the spread of COVID-19. The mean (SD) risk perception was 58.77 (± 10.11), indicating the medium level of risk perception of people. The second-order confirmatory factor analysis also indicated that cultural dimension had the highest positive correlation (0.96), emotional dimension had the highest negative correlation (-0.65), and social dimension had the least correlation with the risk perception model (0.08). Conclusion: Iranians’ risk perception of the COVID-19 outbreak is not optimal, and it seems necessary to improve it.

Confirmatory Factor Analysis of the Sternberg Triarchic Abilities Test in Three International Samples

2001 ◽  
Vol 17 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Robert J. Sternberg ◽  
J.L. Castejón ◽  
M.D. Prieto ◽  
Jarkko Hautamäki ◽  
Elena L. Grigorenko
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Theoretical Models ◽  
The United States ◽  
Underlying Structure ◽  
School Students ◽  
Theory Of Intelligence ◽  
Confirmatory Factor ◽  
Order Factor

Summary: In the current study we compare different theoretical models of the underlying structure of the STAT (Sternberg Triarchic Abilities Test), Level-H, by using the techniques of confirmatory factor analysis on a combined sample of 3278 school students from the United States, Finland, and Spain. The results of the comparison of a number of models - using the strategy of hierarchical confirmatory factor analysis (HCFA) and comparing nested and alternative models, specified under different assumed theories relative to a unidimensional concept of general intelligence, a traditional factorial concept, and a triarchic model - illustrate that the second-order factor model based on the triarchic theory of intelligence achieves the best (albeit far from perfect) fit to the empirical data.

scholarly journals Measuring Internet Retail Service Quality Using Confirmatory Factor Analysis

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Jyoti Kumari ◽  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Online Marketing ◽  
Early Years ◽  
Retail Service ◽  
Confirmatory Factor ◽  
Internet Retail ◽  
Online Stores

In the early years of online retailing, having an online presence and low prices were believed to be key drivers of success. More recently, electronic service quality has become essential as an online marketing strategy. Online stores provide higher service quality to create online customer loyalty, improve customer satisfaction and keep a lasting competitive advantage. Despite its recognized significance, there are few comprehensive empirical researches that analyze the quality of Internet retail services. Therefore, there is always a scope of conducting study on the development of e-service quality scales. This paper demonstrates the development of a new scale having new measures for measuring customer satisfaction and patronage intention in e-retailing. For the purpose, Confirmatory factor Analysis was used using AMOS 16.After analysis, the measures like website design, fulfillment, personalization, customer service and ratings & reviews are identified the crucial measures for determining the satisfaction level and patronage intentions of online customers. At the end of this paper, limitations and future scope of the study was given.

scholarly journals The Sports Mental Toughness Questionnaire (SMTQ): A psychometric evaluation of the Turkish version

2017 ◽  
Vol 11 (2) ◽  
pp. 90-98 ◽  
Author(s):  
Bulent Okan Miçooğulları
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Degrees Of Freedom ◽  
Reliability And Validity ◽  
Psychometric Evaluation ◽  
Mental Toughness ◽  
Chi Square ◽  
Analysis Technique ◽  
Confirmatory Factor ◽  
Fit Index

The objective of this study was to adapt the Sports Mental Toughness Questionnaire (SMTQ) for use in Turkey, and to test its reliability and validity. With a sample of 184 males (mean ± s: age 24.22 ± 3.01 years) and 153 females (mean ± s: age 21.54 ± 3.82 years) total 337 athletes (mean ± s: age 21.76 ± 4.2 years) drawn from 20 sport classifications, confirmatory factor analysis technique to evaluate the psychometric properties of the SMTQ. Athletes completed 14 item SMTQ was applied to all volunteered participants. Afterwards Confirmatory Factor Analysis was conducted by Analysis Moments of Structures 18. Comparative fit index, non-normed fit index and root mean square error of approximation were used to check if the model fit the data. Chi-square/degrees of freedom ratio was found as (χ2/df) 1.46. The other parameters were determined as RMSEA= .74, NNFI= .90, and CFI= .90. The confirmatory factor analysis results supported the three-factor structure and indicated proper models should include correlations among the three factors. Internal consistency estimates ranged from .69 to .78 and were consistent with values reported by previous studies. Based on these findings, “Sports Mental Toughness Questionnaire” was found to be a valid and reliable instrument.

Analysis on Preception and Model for Service Quality in Chain Supermarkets Visited by Customers in China

2013 ◽  
Vol 709 ◽  
pp. 681-686
Author(s):  
Nian Liu
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Quality ◽  
Reliability And Validity ◽  
New Model ◽  
Chinese Characteristic ◽  
Retail Service ◽  
Confirmatory Factor ◽  
Perception Model ◽  
Retail Service Quality

for the economy, political and Consumption habits are different from which of the foreign counties, the authoritative retail service quality perception model abroad Dabholkar is not very fit to the Chinese characteristic economic environment. After constant comparison and research, we take Dabholkar model as the basis and then reviese variables to the model getting an new model that fit to China. At the same time, through researching on 126 consumers in chain supermarkets, we have validated the model we raised is reasonable by use of methods of reliability and validity analysis and confirmatory factor analysis.

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