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A psychometric analysis of the Survey Work-Home Interaction-Nijmegen (SWING) in a nursing environment / H.P. van TonderVan Tonder, Hester Petra January 2005 (has links)
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.
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A psychometric analysis of the Survey Work-Home Interaction-Nijmegen (SWING) in a nursing environment / H.P. van TonderVan Tonder, Hester Petra January 2005 (has links)
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.
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Job characteristics, wellness and work-home interaction in the mining industry / Gary Robert OldfieldOldfield, Gary Robert January 2006 (has links)
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
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Job characteristics, wellness and work-home interaction in the mining industry / G.R. OldfieldOldfield, Gary Robert January 2006 (has links)
Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.
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Job characteristics, wellness and work-home interaction in the mining industry / Gary Robert OldfieldOldfield, Gary Robert January 2006 (has links)
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
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