Partial Confirmatory Factor Analysis for E-Service Delivery Outcomes Using E-Tools Provided by the Government

2018 ◽  
pp. 463-470
Author(s):  
Seema Sahai ◽  
Gurinder Singh
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Delivery ◽  
Delivery Outcomes ◽  
Confirmatory Factor ◽  
The Government

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.

Determinants of professionalisation of extension service delivery: A confirmatory factor analysis approach

2021 ◽  
Vol 49 (3) ◽  
pp. 123-135
Author(s):  
Olorunfemi ◽  
Oladele
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Service Delivery ◽  
Service Providers ◽  
Agricultural Extension ◽  
Sampling Procedure ◽  
Professional Status ◽  
Extension Agents ◽  
Strong Positive Correlation ◽  
Confirmatory Factor

The need for agricultural extension services in Nigeria to attain a higher ethical and professional status of registering and certifying its service providers like other disciplines for effective service delivery has led this study to examine the factors influencing extension professionalisation in Nigeria. 356 extension agents from both public and private extension organisations were selected through a two-stage sampling procedure. A structured questionnaire was used to elicit information on the knowledge, attitude and perceptions on the effects of the components of professionalisation (i.e. accreditation, registration, and certification) on service delivery. The Cronbach alpha reliability values for the constructs used in the different sections of the instrument were knowledge (0.78), attitude (0.94), accreditation (0.92), registration (0.89) and certification (0.96). Data was analysed using IBM AMOS version 24 to conduct a confirmatory factor analysis to determine the interrelationships that exist between the extension agent’s knowledge, attitude, and the components of professionalisation. The findings revealed a significant and strong positive correlation between the constructs of the extension agent’s knowledge, attitude and the professionalisation components of accreditation, registration, and certification. These findings have implications for educating and training extension agents on professionalisation and its components to ensure its institutionalisation in the agricultural extension sector for the provision of a more ethical, competent, accountable, and efficient rural and advisory service delivery.

scholarly journals Independence of corporate governance and its relation to financial performance

2020 ◽  
Vol 18 (3) ◽  
pp. 150-159
Author(s):  
Cesar Freire ◽  
Felix Carrera ◽  
Paola Auquilla ◽  
Gabriela Hurtado
Keyword(s):  
Corporate Governance ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Financial Performance ◽  
Direct Relationship ◽  
Secondary Data ◽  
Board Independence ◽  
Confirmatory Factor ◽  
Independent Variable ◽  
The Government

Most studies in the area of corporate governance measure certain characteristics and the effects on financial performance; however, other authors only focus on profitability and do not analyze financial performance in all its dimensions; this is relevant because in some situations the government corporate governance can influence performance measured by liquidity, solvency or activity. The aim of the study is to relate the independence of corporate governance and the financial performance of non-listed companies using econometric techniques. This process was carried out by collecting primary information for the independent variable and secondary data for the dependent variable; the independence of corporate governance was measured by applying a confirmatory factor analysis to data collected through a survey, while the financial performance was measured through average Z factors created for liquidity, solvency, profitability and activity indicators. As a result, it was found that the independence of corporate governance influenced financial performance, but this relationship was statistically significant only with solvency and activity variables. As a result, it can be seen that there is a direct relationship between corporate governance independence and financial performance, in such a way that if the perception of board independence increases, financial performance can increase positively. Acknowledgments An acknowledgment to department SINDE from University Catholique Santiago of Guayaquil, who helped with the necessary resources to conduct this research.

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 Citizen's Response to a State's Environmental Management through Enforcement of Ban

2019 ◽  
Vol 8 (6S) ◽  
pp. 820-827
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Tamil Nadu ◽  
The Public ◽  
Personal Awareness ◽  
Plastic Bags ◽  
Confirmatory Factor ◽  
Plastic Bag ◽  
Single Use ◽  
The Government

Single use plastic bags have been banned by many countries, states and cities globally in an attempt to curb the massive impact of plastics on the environment. Plastic bag litter can clog drainage systems and result in those systems failing and flooding breaking out, which can result in damage. This litter is also a serious threat to animals and their habitats. Tamil Nadu, on January 1, 2019, became the fourth state in India to implement a ban on single-use plastics. Maharashtra was the first do it on March 23, 2018, Telangana followed the feat in June and Himachal Pradesh in July. This paper tries to bring the opinion of 150 sample respondents from Tirunelveli District on the awareness and response of Plastic usage and avoidance. The researcher used Trend analysis, t test, means, ANOVA, Rotated Factor Analysis, transformation matrix and Confirmatory Factor Analysis after the completion of suitable reliability test. This study brings to light the steps taken by the Government of Tamilnadu to reduce the usage of plastics and the opinion of the sample respondents regarding the ban of plastics. The study reveals that there is considerable improvement in the steps taken in the reduction of plastics in different zones. The opinion of the sample respondents in respect to the ban of plastics is highly significant in different dimensions such as personal, awareness, environmental and the availability of substitutes. The model framed is fit as per confirmatory factor analysis. Hence it is concluded that wider spread of awareness on environmental protection along with the introduction of proper substitutes for the plastics will wipe away the usage of plastics among the public and thereby the environment will be protected for a better tomorrow.

Evidence-based subtypes in functional dyspepsia with confirmatory factor analysis: Psychosocial and physiopathological correlates

2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Functional Dyspepsia ◽  
Evidence Based ◽  
Confirmatory Factor

The French Version of the Revised Child Anxiety and Depression Scale (RCADS) in a Nonclinical Sample

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Generalized Anxiety Disorder ◽  
Child Anxiety ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Generalized Anxiety ◽  
French Version ◽  
Confirmatory Factor

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.

The Hierarchical Model of Exercise Dependence

2015 ◽  
Vol 36 (4) ◽  
pp. 247-257 ◽  
Author(s):  
Gayatri Kotbagi ◽  
Laurence Kern ◽  
Lucia Romo ◽  
Ramesh Pathare
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Physical Exercise ◽  
Exploratory Factor Analysis ◽  
Convergent Validity ◽  
Large Population ◽  
Assessment Tools ◽  
Negative Consequences ◽  
Confirmatory Factor ◽  
Preliminary Version

Abstract. Physical exercise when done excessively may have negative consequences on physical and psychological wellbeing. There exist many scales to measure this phenomenon. The purpose of this article is to create a scale measuring the problematic practice of physical exercise (PPPE Scale) by combining two assessment tools already existing in the field of exercise dependency but anchored in different approaches (EDS-R and EDQ). This research consists of three studies carried out on three independent sample populations. The first study (N = 341) tested the construct validity (exploratory factor analysis); the second study (N = 195) tested the structural validity (confirmatory factor analysis) and the third study (N = 104) tested the convergent validity (correlations) of the preliminary version of the PPPE scale. Exploratory factor analysis identified six distinct dimensions associated with exercise dependency. Furthermore, confirmatory factor analysis validated a second order model consisting of 25 items with six dimensions and four sub-dimensions. The convergent validity of this scale with other constructs (GLTEQ, EAT26, and The Big Five Inventory [BFI]) is satisfactory. The preliminary version of the PPPE must be administered to a large population to refine its psychometric properties and develop scoring norms.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Task and Relationship Conflict at Work

2011 ◽  
Vol 27 (3) ◽  
pp. 171-178 ◽  
Author(s):  
Nale Lehmann-Willenbrock ◽  
Anna Grohmann ◽  
Simone Kauffeld
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Negative Impact ◽  
Longitudinal Design ◽  
Industrial Sector ◽  
Task Conflict ◽  
Relationship Conflict ◽  
Factor Solution ◽  
Convenience Sample ◽  
Confirmatory Factor

The distinction between task and relationship conflict is well established. Based on Jehn’s (1995) intragroup conflict scale, we developed an economic six-item questionnaire for assessing relationship and task conflict in work groups. Confirmatory factor analysis was performed on data from a convenience sample (N = 247), and confirmed the original two-factor solution. The stability of the obtained two-factor solution was supported by confirmatory factor analysis in a longitudinal design with a second sample (N = 431) from the industrial sector. In line with previous research, the two types of conflict were intercorrelated. Moreover, the two subscales showed differential longitudinal effects on team outcomes. Task conflict was beneficial for performance in nonroutine tasks (but not in routine tasks). Relationship conflict had a negative impact on team viability and coworker trust.

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