A psychometric analysis of the Survey Work-Home Interaction-Nijmegen (SWING) in a nursing environment / H.P. van Tonder

• Main Author: Van Tonder, Hester Petra
• Published: North-West University 2009
• Subjects: Work-home interaction; Survey Work-Home Interaction-Nijmegen (SWING); Reliability; Construct validity; Prevalence; Nursing environment
• Online Access: http://hdl.handle.net/10394/926

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.