scholarly journals Measuring social well-being in Africa: An exploratory structural equation modelling study

Author(s):  
Itumeleng P. Khumalo ◽  
Ufuoma P. Ejoke ◽  
Kwaku Oppong Asante ◽  
Janvier Rugira

The study investigated the factor structure of the 15-item social well-being scale in an African context. Social well-being is categorised into five dimensions: social integration, social contribution, social coherence, social actualisation and social acceptance. Data were collected from 402 participants in South Africa (50% male, average age of 21 years). Confirmatory factor analysis (CFA) and exploratory structural equation modelling (ESEM) were conducted in Mplus (version 8.1), on the 15-item measure. Results showed advantages of ESEM’s flexibility, through which an unstable emic four factor solution emerged. For such complex multidimensional psychological constructs measured in novel contexts, ESEM is best suited for exploring factorial validity. Although the present study’s findings should have implication for theory, future studies should further explore social well-being measurement using the long- and short-form instruments in diverse African samples.

2017 ◽  
Vol 63 (4) ◽  
pp. 54-65 ◽  
Author(s):  
Simona Šarotar Žižek ◽  
Matjaž Mulej ◽  
Borut Milfelner

AbstractWork is a crucial part of human life. One should attain employees’ well-being (WB) to support organisational success. In the first phase, the confirmatory factor analysis (CFA) was employed to assess the dimensionality, reliability, and validity of the reflective latent constructs. In the second phase, structural equation modelling was performed to test the research hypotheses. By structural equation modelling we found that physical health (PH) statistically significant negatively affects subjective emotional well-being (SEWB). Positive PH and SEWB were negatively connected. Emotional intelligence (EI) has a statistically significant impact on SEWB. The last relationship in the model—between spiritual intelligence (SI) and self-determination (SD)—was negative, but statistically significant. Therefore, human resource management’s activities (HRM) must concentrate on optimal physical/mental health, emotional (EI) and spiritual (SI) intelligence. Employees’ good health supports their emotional WB. Their emotional balance, based on their EI, enhances their subjective emotional WB and SD. The employees ’SI affects their SD.


2019 ◽  
Vol 17 ◽  
Author(s):  
Johanna C. Diedericks ◽  
Frans Cilliers ◽  
Adéle Bezuidenhout

Orientation: In the present knowledge economy, the external environment is rapidly evolving and organisations are increasingly demanding much more from their employees. Psychological capital (PsyCap) and work engagement (WE), seen as positive human resource strengths and psychological capacities, can be developed and effectively managed for enhanced work performance. Employees’ resistance to change (RTC) is a key barrier to organisational change.Research purpose: To investigate the interrelationships between PsyCap, WE and RTC of open distance learning (ODL) academics.Motivation for the study: Little empirical research has investigated the application of positive work and organisational psychological functioning of ODL academics. Universities can use the study results to develop strategies which may enable institutions and individuals to flourish through positive well-being despite change.Research approach/design and method: A quantitative survey including a probability sample of 208 (N = 208) academics was utilised. Structural equation modelling was used to analyse the data.Main findings: The results reveal a meaningful positive relationship between the positive psychological constructs of PsyCap and WE, and a meaningful negative relationship between the psychodynamic construct RTC, and the positive psychological constructs of PsyCap and WE. Structural equation modelling indicated an adequate fit of conceptual structural model.Practical/managerial implications: Results suggest that reduced RTC and increased positive psychological behaviour could contribute to a positive organisation and individual well-being in a changing work environment.Contribution/value-add: This study adds to the body of knowledge and insights into positive work and organisational functioning of academics in a changing ODL work environment.


2010 ◽  
Vol 107 (2) ◽  
pp. 383-392 ◽  
Author(s):  
Günter F. Müller ◽  
Sibylle Georgianna ◽  
Gregor Roux

The current study examined the extension of an approach to self-leadership using strategies which focus on (1) constructive thoughts, (2) natural rewards, and (3) effective behavior. The suggested extension refers to strategies which improve physical vitality, fitness, and well-being. A sample of 163 students answered scale items selected and composed to measure the four categories of self-leadership strategies. Confirmatory factor analyses and structural equation modelling indicated that strategies focusing on physical vitality, fitness, and well-being represent an independent category of self-leadership strategies. Implications for research and application were discussed.


2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Le Thai Son

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.


2020 ◽  
Vol 7 (1) ◽  
pp. 1-27
Author(s):  
Marta Mas-Machuca ◽  
◽  
Frederic Marimon

The objective of this paper is to analyse the process of the definition and deployment of a company’s mission, to obtain a better understanding of the employees’ role. On the basis of the literature investigating the dimensions of the internalization of a mission (leadership, importance, knowledge, co-workers’ engagement and implication), the paper proposes a model that shows the cause and effect relationships among these dimensions. A survey addressed to Spaniards was launched, and 400 valid responses were received. The data was analysed using Structural Equation Modelling (SEM) for an initial model that shows the causal relations among the dimensions for the internalization of a mission. An array of Lagrange multiplier tests suggested modifications for refining the model and proposed one with acceptable fit indices, where the last dimension to be accomplished is “Implication”. The findings show a direct effect between “Leadership” and “Implication”, and double mediation. On the one hand, there is second order mediation through “Knowledge” and “Importance”. On the other hand, there is mediation through “Co-workers’ engagement”. This sequencing among the five dimensions of the internalization of the mission gives new clues and evidence for managers that will help them to define and implement a successful mission statement.


2021 ◽  
Vol 65 (1) ◽  
pp. 86-100
Author(s):  
Vít Gabrhel ◽  
◽  
Stanislav Ježek ◽  
Petr Zámečník

Objectives. This study attempts to introduce the Driving Locus of Control (DLoC), a method focused on the internal or external source of attribution of the driving behaviour, to the Czech context. This study also relates DLoC to attitudes towards autonomous vehicles (AVs). Participants and setting. Out of the general population, 59 inquirers personally interviewed (CAPI) 1 065 respondents (49% women) in the age range between 15 and 92 years (M = 50, SD = 17). The respondents were sampled via multistage random sampling procedure, based on the list of addresses in the Czech Republic. Hypotheses. The authors hypothesised to replicate the original two-factor structure of the DLoC Scale and that the higher levels of internal DLoC result in not considering the improvement in traffic safety as the AVs replace human drivers. Statistical analysis. Confirmatory factor analysis was used to analyse the factor structure of DLoC Scale. Hypotheses related to the empirical validity of the method were assessed via structural equation modelling. The reliability of DLoC Scale was calculated in terms of internal consistency (McDonald coefficient). Results. Confirmatory factor analysis revealed reasonably good support for structural validity of the one-dimensional DLoC-CZ15 factor model (χ2 = 426.967, df = 90, CFI = 0.964, TLI = 0.958, SRMR = 0.066, RMSEA = 0.065). In addition, the one-dimensional DLoC-CZ15 factor model showed acceptable internal consistency - ω = 0.9 (95% CI [0.89, 0.91]). The structural equation modelling found a relationship between DLoC and some of the items capturing attitudes towards AVs, too. Study limitations. The analysed data were obtained via interviews between respondents and inquirers. As a result, the study does not contain indicators of empirical validity measured by a methodologically different approach, such as an observation of driving behaviour.


2021 ◽  
pp. 097215092110303
Author(s):  
Abhishek Kumar ◽  
Mamta Mohapatra ◽  
Swati Dhir

The objective of the study is to empirically examine the various components of subjective well-being (SWB) and its role in the association between personality and contextual performance (CP). To validate the proposed model, Indian executives from various organizations were surveyed with a survey method. The sample response from 809 respondents has been analysed with the assistance of the partial least squares (PLS) structural equation modelling (SEM) approach. The results from the study establish SWB as a mediator between personality and CP. A positive association is observed with specific components of personality factors and SWB and CP. Organizations can also learn from the study that increasing the SWB of employees is one of the important parameters for their CP.


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