The general objectives of this study were to determine the work-home interaction of South African working females, to investigate the prevalence of work-home interaction and to determine if differences concerning work-home interaction exist between different demographical groups. An availability sample (n = 500) was taken from working females within six provinces of South Africa. The SWING and a demographical questionnaire were administered. Structural equation modelling (SEM) showed that a four-factor model, that measures both the direction (work-home interaction and home-work interaction) and the quality (positive or negative) of interaction, fitted the data best. All four factors were reliable, according to the Cronbach alpha coefficients. Multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to establish differences between work-home interaction and different demographic characteristics. Statistically significant differences exist between demographic groups based on race, language, occupation, parental status, household situation and freedom to arrange circumstances. Recommendations were made for further research / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

The general objectives of this study were to determine the work-home interaction of South African working females, to investigate the prevalence of work-home interaction and to determine if differences concerning work-home interaction exist between different demographical groups. An availability sample (n = 500) was taken from working females within six provinces of South Africa. The SWING and a demographical questionnaire were administered. Structural equation modelling (SEM) showed that a four-factor model, that measures both the direction (work-home interaction and home-work interaction) and the quality (positive or negative) of interaction, fitted the data best. All four factors were reliable, according to the Cronbach alpha coefficients. Multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to establish differences between work-home interaction and different demographic characteristics. Statistically significant differences exist between demographic groups based on race, language, occupation, parental status, household situation and freedom to arrange circumstances. Recommendations were made for further research / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Nurses make up the largest group of health workers in South Africa and are likely to play an important role in the transformation of the health sector. Health caregivers, especially those dealing with people suffering h m serious illnesses and those exposed to multiple deaths, are at risk of developing work-related psychological disorders. Furthermore, long working hours, pressure, role clarity and lack of support from colleagues are the four most common work stressors reported. 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 interaction as most research focuses on the negative side. It also seems that, despite the importance of work-home interaction of nurses, relatively few studies investigate the role of specific job characteristics and coping strategies that could play a role in negative and positive work-home interaction. The objective of this study was to determine which job characteristics and coping strategies predict negative and positive work-home interaction in the nursing environment. A cross-sectional survey design was used. Stratified random samples (n = 300) were taken of registered nurses in the Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria regions. A self-constructed questionnaire was used to measure job characteristics. The Coping Strategy Indicator (CSI) was used to measure coping strategies, and the 'Survey Work-home Interaction- NijmeGen' (SWING) was used to measure work-home interaction. Exploratory factor analyses and Cronbach alpha coefficients were used to determine the validity and reliability of the questionnaires. Product-moment correlation coefficients were used to determine the relationship between job characteristics, coping and work-home interaction. Multiple regression analyses were used to determine the percentage variance in the dependent variables (e.g. negative and positive WHI) that is predicted by the independent variables (e.g. job characteristics and coping strategies). The results showed that time demands, pressure, role clarity and colleague support are the main job characteristics that predict negative work-home interference. Problem-solving coping was associated with less negative work-home interference, while avoidance coping seems to predict higher levels of negative work-home interference. Time demands, autonomy and role clarity were the main predictors of positive work-home interference. Problem-solving coping was the only coping strategy associated with positive work-home interference. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Over the past few years, workers have been confronted with increasing pressures at work and at home. This is mainly the result of the growing number of dual-earner couples as well as changes and pressures in the nature of the workplace. Workers are challenged to manage multiple roles in both their work and home domains. Recently, a new measuring instrument was developed to measure work-home interaction, namely the Survey Work-Home Interaction - Nijmegen (SWING). This instrument measures both the direction of influence (work-to-home and home-to-work) and the quality of influence (negative vs. positive). The objectives of this study were firstly to determine the construct validity and reliability of the Survey Work-Home Interaction - Nijmegen (SWING), and secondly to determine the prevalence of work-home interaction in various demographic groups in the nursing environment. A cross-sectional survey design was used. Random samples (N = 363) were taken from hospital nursing staff in Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria. The SWING and a biographical questionnaire were administered. Structural equation modelling (SEM), Cronbach alpha coefficients, multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to reach the objectives. SEM showed that a four-factor model, which measures negative work-home interference, positive work-home interference, negative home-work interference and positive home-work interference, fitted the data best. Cronbach alpha coefficients showed that all four factors were reliable. Regarding the prevalence of work-home interaction among different demographic groups, the results indicated that there were statistically significant differences between demographic groups based on race, educational level, type of position, flexibility of arrangements at the workplace as well as between full-time and part-time work. Recommendations for future research are made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

Over the past few years, workers have been confronted with increasing pressures at work and at home. This is mainly the result of the growing number of dual-earner couples as well as changes and pressures in the nature of the workplace. Workers are challenged to manage multiple roles in both their work and home domains. Recently, a new measuring instrument was developed to measure work-home interaction, namely the Survey Work-Home Interaction - Nijmegen (SWING). This instrument measures both the direction of influence (work-to-home and home-to-work) and the quality of influence (negative vs. positive). The objectives of this study were firstly to determine the construct validity and reliability of the Survey Work-Home Interaction - Nijmegen (SWING), and secondly to determine the prevalence of work-home interaction in various demographic groups in the nursing environment. A cross-sectional survey design was used. Random samples (N = 363) were taken from hospital nursing staff in Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria. The SWING and a biographical questionnaire were administered. Structural equation modelling (SEM), Cronbach alpha coefficients, multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to reach the objectives. SEM showed that a four-factor model, which measures negative work-home interference, positive work-home interference, negative home-work interference and positive home-work interference, fitted the data best. Cronbach alpha coefficients showed that all four factors were reliable. Regarding the prevalence of work-home interaction among different demographic groups, the results indicated that there were statistically significant differences between demographic groups based on race, educational level, type of position, flexibility of arrangements at the workplace as well as between full-time and part-time work. Recommendations for future research are made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

Nurses make up the largest group of health workers in South Africa and are likely to play an important role in the transformation of the health sector. Health caregivers, especially those dealing with people suffering h m serious illnesses and those exposed to multiple deaths, are at risk of developing work-related psychological disorders. Furthermore, long working hours, pressure, role clarity and lack of support from colleagues are the four most common work stressors reported. 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 interaction as most research focuses on the negative side. It also seems that, despite the importance of work-home interaction of nurses, relatively few studies investigate the role of specific job characteristics and coping strategies that could play a role in negative and positive work-home interaction. The objective of this study was to determine which job characteristics and coping strategies predict negative and positive work-home interaction in the nursing environment. A cross-sectional survey design was used. Stratified random samples (n = 300) were taken of registered nurses in the Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria regions. A self-constructed questionnaire was used to measure job characteristics. The Coping Strategy Indicator (CSI) was used to measure coping strategies, and the 'Survey Work-home Interaction- NijmeGen' (SWING) was used to measure work-home interaction. Exploratory factor analyses and Cronbach alpha coefficients were used to determine the validity and reliability of the questionnaires. Product-moment correlation coefficients were used to determine the relationship between job characteristics, coping and work-home interaction. Multiple regression analyses were used to determine the percentage variance in the dependent variables (e.g. negative and positive WHI) that is predicted by the independent variables (e.g. job characteristics and coping strategies). The results showed that time demands, pressure, role clarity and colleague support are the main job characteristics that predict negative work-home interference. Problem-solving coping was associated with less negative work-home interference, while avoidance coping seems to predict higher levels of negative work-home interference. Time demands, autonomy and role clarity were the main predictors of positive work-home interference. Problem-solving coping was the only coping strategy associated with positive work-home interference. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

The mining industry is driven by performance and intense working environments, accompanied by high demands, hazardous working conditions and socially undesirable working hours. These factors could impact on the interaction between work and home, as well as contributing to health problems of employees. The objectives of this research were to test the construct validity, construct equivalence and reliability of a work-home interaction measuring instrument, the Survey Work-Home Interaction - Nijmegen (SWING), to determine if work-home interaction differences exist between different demographical groups, and to test a structural model of job characteristics (job demands and job resources), ill health and negative work-home interference. Random samples (n = 320) were taken from employees working in the mining industry (gold, platinum and phosphate mines) in the Gauteng, North West and Northern provinces. The SWING, a self-developed job characteristics questionnaire and an adapted version of the General Health Questionnaire were administered. Structural equation modelling, descriptive statistics, Cronbach alpha coefficients, Pearson product-moment correlations, multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to analyse the data. Structural equation modelling confirmed the four-factor structure of the SWING and the construct equivalence for two language and ethnic groups. The four factors showed acceptable internal consistencies. Statistically significant differences were found based on age, ethnicity, gender, qualification, marital and parental status, language, flexibility at work and whether individuals had a partner with a paid job. Regarding the structural model, the results showed that job demands and job resources have an impact on ill health, and that ill health is associated with negative WHI. It was also found that job demands and job resources have a direct relationship with negative WHI on their own, but when both high demands and a lack of resources are present, only an indirect relationship with negative WHI exists though ill health. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

The mining industry is driven by performance and intense working environments, accompanied by high demands, hazardous working conditions and socially undesirable working hours. These factors could impact on the interaction between work and home, as well as contributing to health problems of employees. The objectives of this research were to test the construct validity, construct equivalence and reliability of a work-home interaction measuring instrument, the Survey Work-Home Interaction - Nijmegen (SWING), to determine if work-home interaction differences exist between different demographical groups, and to test a structural model of job characteristics (job demands and job resources), ill health and negative work-home interference. Random samples (n = 320) were taken from employees working in the mining industry (gold, platinum and phosphate mines) in the Gauteng, North West and Northern provinces. The SWING, a self-developed job characteristics questionnaire and an adapted version of the General Health Questionnaire were administered. Structural equation modelling, descriptive statistics, Cronbach alpha coefficients, Pearson product-moment correlations, multivariate analysis of variance (MANOVA) and one-way analysis of variance (ANOVA) were used to analyse the data. Structural equation modelling confirmed the four-factor structure of the SWING and the construct equivalence for two language and ethnic groups. The four factors showed acceptable internal consistencies. Statistically significant differences were found based on age, ethnicity, gender, qualification, marital and parental status, language, flexibility at work and whether individuals had a partner with a paid job. Regarding the structural model, the results showed that job demands and job resources have an impact on ill health, and that ill health is associated with negative WHI. It was also found that job demands and job resources have a direct relationship with negative WHI on their own, but when both high demands and a lack of resources are present, only an indirect relationship with negative WHI exists though ill health. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007