A network analysis of the General Health questionnaire
- Authors: Van Zyl, Casper J J
- Date: 2020
- Subjects: Common cause , Confirmatory factor analysis , General Health Questionnai
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/473537 , uj:42653 , Van Zyl, C.J.J. 2020. A network analysis of the General Health Questionnaire.
- Description: Abstract: The General Health Questionnaire-28 is a well-known symptom-based rating scale of mental health. Several studies have investigated its latent structure using confirmatory factor analysis. This study questions this approach on several substantive points, most notably the inability for symptoms to interact using confirmatory factor analysis, and argues for the use of network analysis instead. Network results demonstrate the method’s utility to improve our understanding of the rating scales’ symptom structure. Insights include a much richer understanding of comorbidity on the General Health Questionnaire-28 and the identification of particularly salient symptoms affecting the network. It yields substantive information of interest to researchers and practitioners alike.
- Full Text:
- Authors: Van Zyl, Casper J J
- Date: 2020
- Subjects: Common cause , Confirmatory factor analysis , General Health Questionnai
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/473537 , uj:42653 , Van Zyl, C.J.J. 2020. A network analysis of the General Health Questionnaire.
- Description: Abstract: The General Health Questionnaire-28 is a well-known symptom-based rating scale of mental health. Several studies have investigated its latent structure using confirmatory factor analysis. This study questions this approach on several substantive points, most notably the inability for symptoms to interact using confirmatory factor analysis, and argues for the use of network analysis instead. Network results demonstrate the method’s utility to improve our understanding of the rating scales’ symptom structure. Insights include a much richer understanding of comorbidity on the General Health Questionnaire-28 and the identification of particularly salient symptoms affecting the network. It yields substantive information of interest to researchers and practitioners alike.
- Full Text:
A network analysis of the General Health Questionnaire
- Authors: Van Zyl, C.J.J.
- Date: 2021
- Subjects: Common cause , Confirmatory factor analysis , General Health Questionnaire
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/475941 , uj:42953 , DOI: 10.1177/1359105318810113 , Citation: Van Zyl, C.J.J. 2021. A network analysis of the General Health Questionnaire.
- Description: Abstract: The General Health Questionnaire-28 is a well-known symptom-based rating scale of mental health. Several studies have investigated its latent structure using confirmatory factor analysis. This study questions this approach on several substantive points, most notably the inability for symptoms to interact using confirmatory factor analysis, and argues for the use of network analysis instead. Network results demonstrate the method’s utility to improve our understanding of the rating scales’ symptom structure. Insights include a much richer understanding of comorbidity on the General Health Questionnaire-28 and the identification of particularly salient symptoms affecting the network. It yields substantive information of interest to researchers and practitioners alike.
- Full Text:
- Authors: Van Zyl, C.J.J.
- Date: 2021
- Subjects: Common cause , Confirmatory factor analysis , General Health Questionnaire
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/475941 , uj:42953 , DOI: 10.1177/1359105318810113 , Citation: Van Zyl, C.J.J. 2021. A network analysis of the General Health Questionnaire.
- Description: Abstract: The General Health Questionnaire-28 is a well-known symptom-based rating scale of mental health. Several studies have investigated its latent structure using confirmatory factor analysis. This study questions this approach on several substantive points, most notably the inability for symptoms to interact using confirmatory factor analysis, and argues for the use of network analysis instead. Network results demonstrate the method’s utility to improve our understanding of the rating scales’ symptom structure. Insights include a much richer understanding of comorbidity on the General Health Questionnaire-28 and the identification of particularly salient symptoms affecting the network. It yields substantive information of interest to researchers and practitioners alike.
- Full Text:
Assessing beneficiaries’ needs and expectations as a determinant of residential satisfaction in South Africa
- Authors: Aigbavboa, C.O.
- Date: 2016
- Subjects: Confirmatory factor analysis , Needs and expectations , Housing satisfaction , Structural equation modelling
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/93879 , uj:20403 , Citation: Aigbavboa, C.O. 2016. Assessing beneficiaries’ needs and expectations as a determinant of residential satisfaction in South Africa.
- Description: Abstract: Purpose: There is an integral link between theory and measurement suggesting that validation of measures should be the first stage of theory testing. The aim of the present study was to validate the factorial validity of needs and expectations features as determinants of low-income residents’ housing satisfaction in South Africa. Methodology: Empirical data were collected by a questionnaire survey conducted among 751 low-income housing residents’ in three metropolitan and one district municipality in the Gauteng Province of South Africa. Data gathered via the questionnaire survey were analysed using structural equation modelling (SEM) version 6.2 which was used to assess the factorial structure of the constructs. Findings: SEM analysis revealed that the internal consistency coefficients were over 0.70 criterions for acceptability and the constructs showed a good mode fit to the sample data. The Z-statistics analysis revealed that the construct (needs and expectations) have direct influence in determining low-income residents’ satisfaction with their houses. Conclusion: The SEM result advocates a practical consideration of the construct and its respective indicator variables in future development of low-income housing in South Africa.
- Full Text:
- Authors: Aigbavboa, C.O.
- Date: 2016
- Subjects: Confirmatory factor analysis , Needs and expectations , Housing satisfaction , Structural equation modelling
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/93879 , uj:20403 , Citation: Aigbavboa, C.O. 2016. Assessing beneficiaries’ needs and expectations as a determinant of residential satisfaction in South Africa.
- Description: Abstract: Purpose: There is an integral link between theory and measurement suggesting that validation of measures should be the first stage of theory testing. The aim of the present study was to validate the factorial validity of needs and expectations features as determinants of low-income residents’ housing satisfaction in South Africa. Methodology: Empirical data were collected by a questionnaire survey conducted among 751 low-income housing residents’ in three metropolitan and one district municipality in the Gauteng Province of South Africa. Data gathered via the questionnaire survey were analysed using structural equation modelling (SEM) version 6.2 which was used to assess the factorial structure of the constructs. Findings: SEM analysis revealed that the internal consistency coefficients were over 0.70 criterions for acceptability and the constructs showed a good mode fit to the sample data. The Z-statistics analysis revealed that the construct (needs and expectations) have direct influence in determining low-income residents’ satisfaction with their houses. Conclusion: The SEM result advocates a practical consideration of the construct and its respective indicator variables in future development of low-income housing in South Africa.
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Integrating service quality as a second-order factor in a customer satisfaction and loyalty model
- Nunkoo, Robin, Teeroovengadum, Viraiyan, Thomas, Peta, Leonard, Llewellyn
- Authors: Nunkoo, Robin , Teeroovengadum, Viraiyan , Thomas, Peta , Leonard, Llewellyn
- Date: 2017
- Subjects: Service quality , Confirmatory factor analysis , Service qImage
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/256020 , uj:26868 , Citaion: Nunkoo R., Teeroovengadum, V., Thomas, P., & Leonard, L. (2017). Integrating Service Quality as a Second-Order Factor in a Customer Satisfaction and Loyalty Model. International Journal of Contemporary Hospitality Management, 29(12), 2978- 3005.
- Description: Abstract: Purpose – The study conceptualizes service quality as a second-order factor and analyzes its influence on customer satisfaction, perceived value, image, consumption emotions and customer loyalty by testing a structural equation model. Design/methodology/approach – The model is tested using data collected from 672 guests staying in accommodation establishments located in South Africa. The study follows a hierarchical approach using confirmatory factor analysis to test the second-order factor model and structural equation modeling to test the overallmodel. Findings – The results indicate that the second-order factor model is acceptable both empirically as well as conceptually and performs better than other competing models of service quality. The findings provide support for all hypotheses and evidence of a structural model with a high explanatory power. Research limitations/implications – The second-order factor model is less useful when fine-grained analyses are needed, such as when a detailed assessment of the level of quality of service offered by a hospitality organization is required. Practical implications – The second-order factor model allows for an analysis of service quality at different levels of abstraction. Accommodation managers interested in customers’ evaluation of service on a cumulative basis can make use of the global measure to determine service quality evaluations. Practitioners can also use the findings to manage the different dimensions of service quality. Originality/value – The study demonstrates that service quality is best represented as a second-order factor, and in doing so, it provides an improved measurement of the construct. More so, by integrating the variable in a nomological network, the research develops a more parsimonious model than the existing ones.
- Full Text:
- Authors: Nunkoo, Robin , Teeroovengadum, Viraiyan , Thomas, Peta , Leonard, Llewellyn
- Date: 2017
- Subjects: Service quality , Confirmatory factor analysis , Service qImage
- Language: English
- Type: Article
- Identifier: http://hdl.handle.net/10210/256020 , uj:26868 , Citaion: Nunkoo R., Teeroovengadum, V., Thomas, P., & Leonard, L. (2017). Integrating Service Quality as a Second-Order Factor in a Customer Satisfaction and Loyalty Model. International Journal of Contemporary Hospitality Management, 29(12), 2978- 3005.
- Description: Abstract: Purpose – The study conceptualizes service quality as a second-order factor and analyzes its influence on customer satisfaction, perceived value, image, consumption emotions and customer loyalty by testing a structural equation model. Design/methodology/approach – The model is tested using data collected from 672 guests staying in accommodation establishments located in South Africa. The study follows a hierarchical approach using confirmatory factor analysis to test the second-order factor model and structural equation modeling to test the overallmodel. Findings – The results indicate that the second-order factor model is acceptable both empirically as well as conceptually and performs better than other competing models of service quality. The findings provide support for all hypotheses and evidence of a structural model with a high explanatory power. Research limitations/implications – The second-order factor model is less useful when fine-grained analyses are needed, such as when a detailed assessment of the level of quality of service offered by a hospitality organization is required. Practical implications – The second-order factor model allows for an analysis of service quality at different levels of abstraction. Accommodation managers interested in customers’ evaluation of service on a cumulative basis can make use of the global measure to determine service quality evaluations. Practitioners can also use the findings to manage the different dimensions of service quality. Originality/value – The study demonstrates that service quality is best represented as a second-order factor, and in doing so, it provides an improved measurement of the construct. More so, by integrating the variable in a nomological network, the research develops a more parsimonious model than the existing ones.
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Validating a framework of transportation infrastructure project sustainability measures
- Okoro, Chioma Sylvia, Musonda, Innocent, Agumba, Justus Ngala
- Authors: Okoro, Chioma Sylvia , Musonda, Innocent , Agumba, Justus Ngala
- Date: 2019
- Subjects: Confirmatory factor analysis , Infrastructure , South Africa
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/407489 , uj:34302 , Citation: Okoro, C.S., Musonda, I., Agumba, J.N. 2019: Validating a framework of transportation infrastructure project sustainability measures.
- Description: Abstract: t Purpose of this paper Transportation infrastructure contributes significantly to any economy. However, the long-lasting nature of such projects is threatened if sustainability elements are not taken cognizance of during the planning and operation stages of the projects. The objective of the current study is to validate a structure of transportation project sustainability measures to evaluate projects and ensure continual delivery of intended benefits in the long run. Design Empirical data were collected using a field questionnaire survey developed from literature review and a preliminary qualitative inquiry. A total of 132 built environment professionals were included based on purposeful and snowball sampling techniques. A model-generating confirmatory factor analysis was undertaken to validate underlying structures of sustainability measures. Findings The findings validated that a four-factor structure, with eleven variables, could adequately measure transportation infrastructure project sustainability (PS). The CFA structure achieved construct, convergent and discriminant validity, with fewer variables than theorised and established in the exploratory factor analysis. Value The validated four-factor structure is envisaged to be beneficial to transportation infrastructure project stakeholders in better decision-making with regard to selecting worthwhile projects as well as monitor operational projects with the aim of delivering long-term benefits to generations of users.
- Full Text:
- Authors: Okoro, Chioma Sylvia , Musonda, Innocent , Agumba, Justus Ngala
- Date: 2019
- Subjects: Confirmatory factor analysis , Infrastructure , South Africa
- Language: English
- Type: Conference proceedings
- Identifier: http://hdl.handle.net/10210/407489 , uj:34302 , Citation: Okoro, C.S., Musonda, I., Agumba, J.N. 2019: Validating a framework of transportation infrastructure project sustainability measures.
- Description: Abstract: t Purpose of this paper Transportation infrastructure contributes significantly to any economy. However, the long-lasting nature of such projects is threatened if sustainability elements are not taken cognizance of during the planning and operation stages of the projects. The objective of the current study is to validate a structure of transportation project sustainability measures to evaluate projects and ensure continual delivery of intended benefits in the long run. Design Empirical data were collected using a field questionnaire survey developed from literature review and a preliminary qualitative inquiry. A total of 132 built environment professionals were included based on purposeful and snowball sampling techniques. A model-generating confirmatory factor analysis was undertaken to validate underlying structures of sustainability measures. Findings The findings validated that a four-factor structure, with eleven variables, could adequately measure transportation infrastructure project sustainability (PS). The CFA structure achieved construct, convergent and discriminant validity, with fewer variables than theorised and established in the exploratory factor analysis. Value The validated four-factor structure is envisaged to be beneficial to transportation infrastructure project stakeholders in better decision-making with regard to selecting worthwhile projects as well as monitor operational projects with the aim of delivering long-term benefits to generations of users.
- Full Text:
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