Print Email Facebook Twitter Identifying the Component Structure of Satisfaction Scales by Nonlinear Principal Components Analysis Title Identifying the Component Structure of Satisfaction Scales by Nonlinear Principal Components Analysis Author Manisera, M. van der Kooij, A.J. Dusseldorp, E. Publication year 2010 Abstract The component structure of 14 Likert-type items measuring different aspects of job satisfaction was investigated using nonlinear Principal Components Analysis (NLPCA). NLPCA allows for analyzing these items at an ordinal or interval level. The participants were 2066 workers from five types of social service organizations. Our results suggest that taking into account the ordinal nature of the items was most appropriate. On the basis of a stability study, a two-component structure was found, from which we extracted two subscales (“Motivation” and “Hygiene”) with reliabilities of .81 and .77. A Multiple Group analysis confirmed this structure. We also investigated whether workers in the five types of organizations differed with respect to the component structure, employing a feature of the program CATPCA. We found that the organizations did not differ much with respect to the job satisfaction components. Subject HumanLS - Life StyleBSS - Behavioural and Societal SciencesHealthy for LifeHealthHealthy LivingCATPCAHerzbergMonotonic transformationsMultiple group methodNonlinear principal components analysisSatisfaction survey dataScale construction To reference this document use: http://resolver.tudelft.nl/uuid:34ceeb3b-0f7a-4b27-ba31-ef3ac50cd03e TNO identifier 503471 Source Quality Technology of Quantitative Management, 7 (2), 97-115 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.