scholarly journals The development of Negative Self-Beliefs Inventory (NSBI): cultural adaptation and psychometric validation

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1312 ◽  
Author(s):  
Xiaoqing Tang ◽  
Wenjie Duan ◽  
Ying Wang ◽  
Pengfei Guo
Keyword(s):  
Factor Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Large Scale ◽  
Predictive Ability ◽  
Psychometric Validation ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Quantitative Analyses ◽  
High Internal Consistency

Social anxiety is an emotional disorder common to various populations around the world. The newly developed Self-Beliefs Related to Social Anxiety Scale (SBSA) aims to assess three kinds of self-beliefs through 15 items that include self-related cognitive factors that evidently result in social anxiety. This study explored the psychometric characteristics of SBSA among 978 Chinese. An eight-item Negative Self-beliefs Inventory (NSBI) was developed through qualitative and quantitative analyses. Exploratory factor analysis, confirmatory factor analysis, and multi-group confirmatory factor analysis suggested that NSBI contained clear, meaningful, stable, and invariant three-factor structure consistent with the original SBSA. Further analyses showed that the three subscales and the entire scale exhibited high internal consistency (0.779–0.837), good criterion validity, and good convergent and divergent validity (i.e., negative associations with flourishing and positive associations with anxiety, depression, and stress). These findings indicated that NSBI is reliable and valid for measuring negative self-beliefs in the Chinese population. A higher total score of NSBI indicates the more serious negative self-beliefs. Limitations of the present study and implications for research and practice were also discussed. Further studies are needed to evaluate the predictive ability, incremental validity, and potential role of NSBI in clinical and large-scale populations.

scholarly journals The development of Negative Self-Beliefs Inventory (NSBI): Cultural adaptation and psychometric validation

2015 ◽  
Author(s):  
Xiaoqing Tang ◽  
Wenjie Duan ◽  
Ying Wang ◽  
Pengfei Guo
Keyword(s):  
Factor Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Large Scale ◽  
Predictive Ability ◽  
Psychometric Validation ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Quantitative Analyses ◽  
High Internal Consistency

Social anxiety is an emotional disorder common to various populations around the world. The newly developed Self-Beliefs Related to Social Anxiety Scale (SBSA) aims to assess three kinds of self-beliefs through 15 items that include self-related cognitive factors that evidently result in social anxiety. This study explored the psychometric characteristics of SBSA among 978 Chinese. An eight-item Negative Self-beliefs Inventory (NSBI) was developed through qualitative and quantitative analyses. Exploratory factor analysis, confirmatory factor analysis, and multi-group confirmatory factor analysis suggested that NSBI contained clear, meaningful, stable, and invariant three-factor structure consistent with the original SBSA. Further analyses showed that the three subscales and the entire scale exhibited high internal consistency (0.779–0.837), good criterion validity, and good convergent and divergent validity (i.e., negative associations with flourishing and positive associations with anxiety, depression, and stress). These findings indicated that NSBI is reliable and valid for measuring negative self-beliefs in the Chinese population. Higher total score of NSBI indicates the more serious negative self-beliefs. Limitations of the present study and implications for research and practice were also discussed. Further studies are needed to evaluate the predictive ability, incremental validity, and potential role of NSBI in clinical and large-scale populations.

scholarly journals The development of Negative Self-Beliefs Inventory (NSBI): Cultural adaptation and psychometric validation

2015 ◽  
Author(s):  
Xiaoqing Tang ◽  
Wenjie Duan ◽  
Ying Wang ◽  
Pengfei Guo
Keyword(s):  
Factor Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Large Scale ◽  
Predictive Ability ◽  
Psychometric Validation ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Quantitative Analyses ◽  
High Internal Consistency

Social anxiety is an emotional disorder common to various populations around the world. The newly developed Self-Beliefs Related to Social Anxiety Scale (SBSA) aims to assess three kinds of self-beliefs through 15 items that include self-related cognitive factors that evidently result in social anxiety. This study explored the psychometric characteristics of SBSA among 978 Chinese. An eight-item Negative Self-beliefs Inventory (NSBI) was developed through qualitative and quantitative analyses. Exploratory factor analysis, confirmatory factor analysis, and multi-group confirmatory factor analysis suggested that NSBI contained clear, meaningful, stable, and invariant three-factor structure consistent with the original SBSA. Further analyses showed that the three subscales and the entire scale exhibited high internal consistency (0.779–0.837), good criterion validity, and good convergent and divergent validity (i.e., negative associations with flourishing and positive associations with anxiety, depression, and stress). These findings indicated that NSBI is reliable and valid for measuring negative self-beliefs in the Chinese population. Higher total score of NSBI indicates the more serious negative self-beliefs. Limitations of the present study and implications for research and practice were also discussed. Further studies are needed to evaluate the predictive ability, incremental validity, and potential role of NSBI in clinical and large-scale populations.

Determinants of Internet Use by Senior Generation

2016 ◽  
Vol 12 (1) ◽  
pp. 63-82 ◽  
Author(s):  
Olfa Bouzaabia ◽  
Rym Bouzaabia ◽  
Alexandru Capatina
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Internet Use ◽  
Senior Citizens ◽  
Research Data ◽  
Cultural Backgrounds ◽  
Confirmatory Factor ◽  
Cognitive Age

The aim of this paper is to investigate and compare the determinants of Internet use by senior generation among Tunisian and Romanian context that have different economic and cultural backgrounds. Research data were taken from a survey carried out on 400 online senior citizens (200 Tunisian and 200 Romanian). Data were analyzed by using confirmatory factor analysis and multiple regression analysis. Results show that cognitive age, Familial Loneliness and Social Anxiety have a significant effect on internet use for surfing and seeking information and not for buying. It was also found in the Romania sample the most determinant of internet use was Familial loneliness, while, social Anxiety was the most determinant of internet use, in the Tunisian sample.

Developing an Instrument for E-Public Services’ Acceptance Using Confirmatory Factor Analysis

2012 ◽  
Vol 24 (3) ◽  
pp. 18-44 ◽  
Author(s):  
Ahmed Alzahrani ◽  
Bernd Carsten Stahl ◽  
Mary Prior
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Large Scale ◽  
Public Services ◽  
Equation Modeling ◽  
Data Sampling ◽  
Potential Cost ◽  
Confirmatory Factor

Governments worldwide spend billions from their allocated IT budgets to deliver convenient electronic services to their citizens. As a result, it is important to encourage citizens to use these services to avoid potential failures. Yet, few empirical studies exist that cover the relevant issues of adoption from the perspective of citizens in developing countries. Moreover, the need for a well-validated instrument to capture citizen adoption of such services is vital, given the vast investment in technology and the potential cost-saving implications. This study integrates elements from the most popular theories, including adoption technology acceptance model (TAM), innovation diffusion theory (IDT), and theory of planned behavior (TPB), in conjunction with web trust models. It develops an instrument to measure citizens’ acceptance of electronic public services by utilizing confirmatory factor analysis (CFA) within the structural equation modeling technique. Findings of a large scale data sampling of citizens in Saudi Arabia indicate that the proposed measurement model is an acceptable fit with the data. Overall, the findings supply a rigorous instrument for measuring citizens’ acceptance of e-public services, providing further insights for researchers and offering policy makers a suitable tool with which to study proposed strategies.

Measuring Internal Political Efficacy in the 1988 National Election Study

1991 ◽  
Vol 85 (4) ◽  
pp. 1407-1413 ◽  
Author(s):  
Richard G. Niemi ◽  
Stephen C. Craig ◽  
Franco Mattei
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Political Trust ◽  
Measurement Model ◽  
Political Efficacy ◽  
National Election ◽  
Election Study ◽  
National Election Study ◽  
Confirmatory Factor ◽  
High Internal Consistency

Political efficacy has been studied extensively since the 1950s, hut analysts have never been fully satisfied with its measurement. After considerable testing, four new questions tapping internal political efficacy were added to the 1988 National Election Study. Our investigation shows that inter-item correlations among these questions indicate high internal consistency, that by both exploratory and confirmatory factor analysis the items measure a single concept distinct from external efficacy and political trust, that the measurement model is robust across major subgroups, and that the overall scale is externally valid and provides a good distribution of efficacy scores across the population. Further, the results of an order experiment in the survey suggest that responses are unaffected by mode of presentation. In short, the four new questions constitute the most satisfactory measure of internal political efficacy to date.

A Second-Order Confirmatory Factor Analysis of the Moral Distress Scale-Revised for Nurses

2017 ◽  
Vol 26 (4) ◽  
pp. 1199-1210 ◽  
Author(s):  
Hamid Sharif Nia ◽  
Vida Shafipour ◽  
Kelly-Ann Allen ◽  
Mohammad Reza Heidari ◽  
Jamshid Yazdani-Charati ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Moral Distress ◽  
Second Order ◽  
Divergent Validity ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Distress Scale

Background: Moral distress is a growing problem for healthcare professionals that may lead to dissatisfaction, resignation, or occupational burnout if left unattended, and nurses experience different levels of this phenomenon. Objectives: This study aims to investigate the factor structure of the Persian version of the Moral Distress Scale–Revised in intensive care and general nurses. Research design: This methodological research was conducted with 771 nurses from eight hospitals in the Mazandaran Province of Iran in 2017. Participants completed the Moral Distress Scale–Revised, data collected, and factor structure assessed using the construct, convergent, and divergent validity methods. The reliability of the scale was assessed using internal consistency (Cronbach’s alpha, Theta, and McDonald’s omega coefficients) and construct reliability. Ethical considerations: This study was approved by the Ethics Committee of Mazandaran University of Medical Sciences. Findings: The exploratory factor analysis ( N = 380) showed that the Moral Distress Scale–Revised has five factors: lack of professional competence at work, ignoring ethical issues and patient conditions, futile care, carrying out the physician’s orders without question and unsafe care, and providing care under personal and organizational pressures, which explained 56.62% of the overall variance. The confirmatory factor analysis ( N = 391) supported the five-factor solution and the second-order latent factor model. The first-order model did not show a favorable convergent and divergent validity. Ultimately, the Moral Distress Scale–Revised was found to have a favorable internal consistency and construct reliability. Discussion and conclusion: The Moral Distress Scale–Revised was found to be a multidimensional construct. The data obtained confirmed the hypothesis of the factor structure model with a latent second-order variable. Since the convergent and divergent validity of the scale were not confirmed in this study, further assessment is necessary in future studies.

Scale Development of Organizational Health Construct

2017 ◽  
Vol 19 (2) ◽  
pp. 357-375 ◽  
Author(s):  
Anupama Singh ◽  
Sumi Jha
Keyword(s):  
Factor Analysis ◽  
Comparative Analysis ◽  
Confirmatory Factor Analysis ◽  
Organizational Health ◽  
Organizational Values ◽  
Divergent Validity ◽  
Developed Country ◽  
Confirmatory Factor ◽  
Convergent And Divergent Validity ◽  
Team Orientation

The purpose of this research is to understand the concept of organizational health (OH). Further, this research developed a construct of OH derived from factors identified in extant literature. Data from 121 scientists working in engineering and scientific divisions of Council of Scientific and Industrial Research (CSIR), India, were collected to test the internal consistency, to confirm factor structure and to assess convergent and divergent validity of the construct. The results of Confirmatory Factor Analysis (CFA) produced seven factors of organizational health, namely, managerial efficacy, amiable power relations, HRD orientation and practices, team orientation, organizational values, innovativeness and morale. The study has been conducted in emerging economy setting. A comparative analysis of organization like CSIR in developed country can be carried out for further research using the same construct. This will help in validating the construct developed in this research. To the best of the author’s knowledge, this is the only study that has developed a comprehensive construct of organizational health for an Indian R&D sector.

A confirmatory factor analysis of a self-report version of the Liebowitz Social Anxiety Scale

2002 ◽  
Vol 59 (1) ◽  
pp. 149-161 ◽  
Author(s):  
Jonathan Oakman ◽  
Michael Van Ameringen ◽  
Catherine Mancini ◽  
Peter Farvolden
Keyword(s):  
Factor Analysis ◽  
Social Anxiety ◽  
Confirmatory Factor Analysis ◽  
Anxiety Scale ◽  
Self Report ◽  
Confirmatory Factor ◽  
Liebowitz Social Anxiety Scale
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