In an ever-changing world, people are constantly faced with the challenge of simultaneously managing multiple roles in their work as well as their home-sphere. It therefore becomes increasingly important to maintain a balance in these two life spheres. Unfortunately, a gap exists between the positive and negative side of work-home balance as most research focuses on the negative side. Recently, a much needed instrument was develop in the Netherlands, namely the Survey Work-Home Interaction - Nijmegen (SWING), which measures both the direction of influence (work→home and vice versa) and the quality of influence (negative vs. positive). The objectives of this study were to validate the Survey Work-Home Interaction - Nijmegen (SWING) for workers of the earthmoving equipment industry in a South African context, to determine its construct equivalence and bias for different language groups, and to determine differences regarding work-home interaction between different demographic groups. A cross-sectional survey design was used. Random samples (n = 330) were taken of workers in the earthmoving equipment industry across South Africa. The SWING and a biographical questionnaire were administered. Item bias analyses, exploratory factor analysis, Cronbach alpha coefficients, MANOVAs, ANOVAs and T-tests were used to analyse the data. Exploratory factor analysis showed that the SWING consists of four factors, namely Negative Work-Home Interference, Negative Home-Work Interference, Positive Work-Home Interference and Positive Home-Work Interference. All four factors showed acceptable internal consistencies. No evidence was found for uniform or non-uniform bias of the items of the SWING for different language groups. Exploratory factor analysis with target rotations confirmed the construct equivalence of the work-home interface construct. There were also no differences regarding work-home interaction between different demographic groups, except for a practically significant difference (medium effect) between males and females with respect to negative Work-Home Interaction levels. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2005.

In an ever-changing world, people are constantly faced with the challenge of simultaneously managing multiple roles in their work as well as their home-sphere. It therefore becomes increasingly important to maintain a balance in these two life spheres. Unfortunately, a gap exists between the positive and negative side of work-home balance as most research focuses on the negative side. Recently, a much needed instrument was develop in the Netherlands, namely the Survey Work-Home Interaction - Nijmegen (SWING), which measures both the direction of influence (work→home and vice versa) and the quality of influence (negative vs. positive). The objectives of this study were to validate the Survey Work-Home Interaction - Nijmegen (SWING) for workers of the earthmoving equipment industry in a South African context, to determine its construct equivalence and bias for different language groups, and to determine differences regarding work-home interaction between different demographic groups. A cross-sectional survey design was used. Random samples (n = 330) were taken of workers in the earthmoving equipment industry across South Africa. The SWING and a biographical questionnaire were administered. Item bias analyses, exploratory factor analysis, Cronbach alpha coefficients, MANOVAs, ANOVAs and T-tests were used to analyse the data. Exploratory factor analysis showed that the SWING consists of four factors, namely Negative Work-Home Interference, Negative Home-Work Interference, Positive Work-Home Interference and Positive Home-Work Interference. All four factors showed acceptable internal consistencies. No evidence was found for uniform or non-uniform bias of the items of the SWING for different language groups. Exploratory factor analysis with target rotations confirmed the construct equivalence of the work-home interface construct. There were also no differences regarding work-home interaction between different demographic groups, except for a practically significant difference (medium effect) between males and females with respect to negative Work-Home Interaction levels. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2005.

There is an apparent lack of in-depth knowledge about the processes that may underlie the interaction between work and home life, and their relationships with employee health and well-being. Work and home has traditionally been considered as separate domains, but during the past decade of democracy, transformation developments (eg, Affirmative Action, Employment Equity) changed the nature of the labour market and economy. This facilitated the increase in the number of working single-parent, dual-earner families, and of women participating in the workforce, which in turned influenced the work-home interaction of employed individuals. Furthermore, various researchers regard burnout and engagement as important constructs to consider in the well-being of employees. The level of a person's wellbeing subsequently affects his/her functionality in both the work and home spheres. Thus, there is a need to identify ways which both the individual and the organisation can apply to increase personal well-being and the balance between work and home life. South Africa has 11 different national languages, and only 8,3% of the population actually speak English at home. Language differences should therefore be taken into account when administering questionnaires. Studies in South Africa generally report race, education, language, and understanding of English as the main factors which impact on construct and item comparability of psychometric tests. There is consequently an obvious need to translate research instruments before they are administered to individuals from different language groups. If language differences are not taken into account, invalid conclusions regarding the constructs under study could be made, with serious implications for culturally diverse settings such as in South Africa. The objectives of this research were to translate the Survey Work-Home Interaction Nijmegen (SWING), Maslach Burnout Inventory-General Survey (MBI-GS) and Utrecth Work Engagement Scale (UWES) into Afrikaans and Setswana, and to investigate the construct validity, construct equivalence and reliability of these instruments. Furthermore, differences between demographic groups regarding work-home interaction and well-being were investigated. Finally, a structural model was tested, which included job characteristics, negative and positive work-home interference (WHI) and well-being (burnout and engagement). A cross-sectional survey design was used. Random samples (N = 685) were taken from police stations in the North West province. Structural equation modelling (SEM) was used to determine the construct validity and equivalence of the measuring instruments and to test the structural model. The results indicated that work-home interaction can be described as a four-dimensional construct consisting of negative WHI, positive WHI, negative home-work interference (HWI), and positive HWI. This factor structure was equivalent across all three language groups and all the scales were reliable. A four-factor model was confirmed for burnout and included exhaustion, cognitive weariness, cynicism and professional efficacy. A one-factor model was found for engagement. Both translated instruments were found to be equivalent for the three language groups. Furthermore, a second order factor analysis revealed that the underlying structure of well-being consists of two negatively related and equivalent factors, namely burnout (exhaustion, cognitive weariness and cynicism) and an enlarged engagement construct (engagement and professional efficacy). Members reported more negative WHI than negative HWI, and more positive HWI than positive WHI. Statistically significant differences exist between demographic groups regarding work-home interaction based on language, gender, marital status. parental status and education. Statistically significant differences of wellness exist between demographic groups based on language and educational level. The results of the structural equation modelling revealed that job demands were directly and positively associated with negative WHI and burnout, while job resources were directly and positively associated with positive WHI and work engagement. This also indicates the partial mediating effect of WHI between job characteristics and wellness. In addition, a lack ofjob resources was associated with higher levels of burnout. Recommendations for future research were made. / Thesis (Ph.D. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Major changes that emphasise the importance of a balanced work and family life have occurred within organisations. Inability to manage this integration between the work and home domains can affect the performance of organisations and the wellbeing of their employees. In order to measure work-home interaction and wellbeing, it is important to use valid, equivalent and reliable instruments. However, there is a lack of empirical research when investigating work-home interaction, burnout and work engagement in the earthmoving equipment industry in South Africa. Furthermore, the earthmoving equipment industry is a multicultural environment and construct equivalence across subgroups therefore becomes important when measuring work-home interaction, burnout and work engagement across different cultural or language groups. It also seems relevant to consider differences in the work-home interaction and work wellness levels between important demographic groups in the earthmoving equipment industry. It appears as if burnout and engagement can be seen as part of the total wellness continuum; and that job characteristics may be related to burnout and engagement through negative and positive work-home interaction. However, little information was found that included these factors in a structural model for the earthmoving equipment industry. The objectives of this research were to test the psychometric properties of the Survey Work- Home Interaction - Nijmegen (SWING), the Maslach Burnout Inventory - General Survey (MBI-GS) and the Utrecht Work Engagement Scale (UWES); to determine if various demographic groups differ with regard to work-home interaction and wellbeing; and to test a structural model that includes job characteristics, work-home interaction and wellbeing for employees in the earthmoving industry. A cross-sectional survey design was used. Random samples (n = 528) were taken from employees in the earthmoving equipment industry in Gauteng, the Limpopo Province, Mpumalanga, the Northern Cape, the Western Cape, the Eastern Cape, Kwa-Zulu Natal and the North West Province. Structural equation modelling confirmed a four-factor model of work-home interaction which measures negative work-home interference, positive work-home interference, negative homework interference and positive home-work interference. This factor structure was equivalent across language, ethnicity, gender, education, marital status and parental status. All four factors were reliable. The participants reported more negative WHI than negative HWI, and more positive HWI than positive WHI. It was found that statistically significant differences that are based on age, gender, language, ethnicity, a partner's contribution to household income and the different business units exist between the demographic groups. The results confirmed a four-factor structure of burnout (exhaustion, cognitive weariness, cynicism and professional efficacy) and a two-factor structure of work engagement (including vigour and dedication). These structures were equivalent across language and education groups, and all scales were reliable. SEM analyses supported a two-factor structure for the wellness construct, consisting of burnout (exhaustion, cognitive weariness and cynicism) and engagement (vigour, dedication and professional efficacy), which was equivalent for the language and education groups. Statistically significant differences that are based on age, gender, language and the different business units were found between the demographic groups. Structural equation modelling showed that job demands are associated with negative WHI and consequently with burnout, providing support for a full-mediation effect of negative WHI. Job resources were associated with negative WHI and consequently with burnout, providing support for partial mediation of negative WHI between job resources and burnout. Job resources were also associated with positive WHI and consequently with engagement, providing support for partial mediation of positive WHI between job resources and engagement. Recommendations for the organisation and future research were made. / Thesis (Ph.D. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

The objectives of this study were to validate the Maslach Burnout Inventory - General Survey (MBI-GS) and the Oldenburg Burnout Inventory (OLBI), to determine the construct equivalence and item bias of these instruments for employees in an earthmoving equipment industry in South &ca of different language groups, to determine the correlation between the MBI-GS and the OLBI, and to investigate the relationship between burnout and various demographic characteristics. A random sample of 326 employees in an earthmoving equipment industry of eight provinces in South Africa was taken. The MBI-GS, the OLBI and a biographical questionnaire were used as measuring instruments. Cronbach alpha coefficients, inter-item correlation coefficients, Pearson product-moment correlation coefficients and exploratory factor analysis were used to analyse the data The results showed that three factors of the MBI-GS and two factors of the OLBI exist for different language groups. Exploratory factor analysis with target rotations confirmed the construct equivalence of the three factors of the MBI-GS and the two factors for the OLBI for different language groups. No evidence was found for uniform or non-uniform bias of the items of the MBI-GS or the OLBI for different language groups. Results indicated that no differences with respect to levels of burnout exist between various demographic characteristics. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2005.

The objectives of this study were to validate the Maslach Burnout Inventory - General Survey (MBI-GS) and the Oldenburg Burnout Inventory (OLBI), to determine the construct equivalence and item bias of these instruments for employees in an earthmoving equipment industry in South &ca of different language groups, to determine the correlation between the MBI-GS and the OLBI, and to investigate the relationship between burnout and various demographic characteristics. A random sample of 326 employees in an earthmoving equipment industry of eight provinces in South Africa was taken. The MBI-GS, the OLBI and a biographical questionnaire were used as measuring instruments. Cronbach alpha coefficients, inter-item correlation coefficients, Pearson product-moment correlation coefficients and exploratory factor analysis were used to analyse the data The results showed that three factors of the MBI-GS and two factors of the OLBI exist for different language groups. Exploratory factor analysis with target rotations confirmed the construct equivalence of the three factors of the MBI-GS and the two factors for the OLBI for different language groups. No evidence was found for uniform or non-uniform bias of the items of the MBI-GS or the OLBI for different language groups. Results indicated that no differences with respect to levels of burnout exist between various demographic characteristics. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2005.

Magister Artium (Psychology) - MA(Psych) / The fall of apartheid and the rise of democracy have brought assessment issues in multicultural societies to the forefront in South Africa. The rise of multicultural assessment demands the development of tests that are culturally relevant to enhance fair testing practices, and issues of bias and equivalence of tests become increasingly important. This study forms part of a larger project titled the Additive Bilingual Education Project (ABLE). The Woodcock Munoz Language Survey (WMLS) was specifically selected to evaluate the language aims in the project, and was adapted from English to isiXhosa. Previous research has indicated that one of the scales in the adapted isiXhosa version of the WMLS, namely the Picture Vocabulary Scale (PV), displays some item bias, or differential item functioning (DIF), across rural and urban isiXhosa learners. Research has also indicated that differences in dialects can have an impact on test takers’ scores. It is therefore essential to explore the structural equivalence of the adapted isiXhosa version of the WMLS on the PV scale across rural and urban isiXhosa learners, and to ascertain whether DIF is affecting the extent to which the same construct is measured across both groups. The results contribute to establishing the scalar equivalence of the adapted isiXhosa version of the WMLS across rural and urban isiXhosa-speaking learners. Secondary Data Analysis (SDA) was employed because this allowed the researcher to re-analyse the existing data in order to further evaluate construct equivalence. The sample of the larger study consisted of 260 learners, both male and female, selected from a population of Grade 6 and 7 learners attending schools in the Eastern Cape. The data was analysed by using the statistical programme Comprehensive Exploratory Factor Analysis (CEFA) and the Statistical Package for Social Sciences (SPSS). Exploratory factor analysis and the Tucker’s phi coefficient were used. The results indicated distinct factor loadings for both groups, but slight differences were observed which raised concerns about construct equivalence. Scatter plots were employed to investigate further, which also gave cause for concern. It was therefore concluded that construct equivalence was only partially attained. In addition, the Cronbach’s Alpha per factor was calculated, showing that internal consistency was displayed only for Factor 1 and not for Factor 2 for the rural group, or both factors for the urban group. Scalar equivalence across the two groups must therefore be explored further.