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Public Service Ethos: Developing a Generic Measure

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      Most cited references 34

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      Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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        An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.

        Confirmatory factor analysis (CFA) is widely used for examining hypothesized relations among ordinal variables (e.g., Likert-type items). A theoretically appropriate method fits the CFA model to polychoric correlations using either weighted least squares (WLS) or robust WLS. Importantly, this approach assumes that a continuous, normal latent process determines each observed variable. The extent to which violations of this assumption undermine CFA estimation is not well-known. In this article, the authors empirically study this issue using a computer simulation study. The results suggest that estimation of polychoric correlations is robust to modest violations of underlying normality. Further, WLS performed adequately only at the largest sample size but led to substantial estimation difficulties with smaller samples. Finally, robust WLS performed well across all conditions. ((c) 2004 APA, all rights reserved).
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          Measuring Public Service Motivation: An Assessment of Construct Reliability and Validity

           J. L. Perry (1996)
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            Author and article information

            Journal
            Journal of Public Administration Research and Theory
            Journal of Public Administration Research and Theory
            Oxford University Press (OUP)
            1053-1858
            1477-9803
            December 06 2010
            April 26 2010
            : 21
            : 1
            : 27-51
            10.1093/jopart/muq016
            © 2010

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