SciELO - Scientific Electronic Library Online

SciELO - Scientific Electronic Library Online

Article References

ZEWOTIR, Temesgen. S. Afr. j. econ. manag. sci. (Online) [online]. 2012, vol.15, n.1, pp. 44-54. ISSN 2222-3436.

    AGUINIS, H. & PIERCE, C.A. 2008. Enhancing the relevance of organizational behavior by embracing performance management research. Journal of Organizational Behavior, 29:139-145 (2008). [ Links ]

    BRAUN, H.I. 1988. Understanding score reliability: experiments in calibrating essay readers. Journal of Educational Statistics, 13:1 -18. [ Links ]

    DE GRUIJTER, D.N 1984. Two simple models for rater effects. Applied Psychological Measurement, 8: 213-218. [ Links ]

    FERRIS, G.R., MUNYON, T.P., BASIK, K., & BUCKLEY, M.R. 2008. The performance evaluation context: Social, emotional, cognitive, political, and relationship components. Human Resource Management Review, 18:146-163. [ Links ]

    FLEISS, J.L. 1986. Design and analysis of clinical experiments. New York: John Wiley & Sons. [ Links ]

    GROTE, R.C. 1996. The complete guide to performance appraisal. New York: AMACOM, AMA's book publishing division. [ Links ]

    HARVILLE, D.A. 1990. BLUP (Best Linear Unbiased Prediction) and beyond. In advances in statistical methods for genetic improvement of livestock, 239-276. New York: Springer-Verlag. [ Links ]

    HOFFMAN, B. & WOEHR, D.J. 2009. Disentangling the meaning of multisource feedback source and dimension factors. Personnel Psychology, 62.735-765. [ Links ]

    Hoffman, B.J., Lance, C, Bynum, B., & Gentry, B (2010). Rater source effects are alive and well after all. Personnel Psychology, 63:119-151. [ Links ]

    HOUSTON, W.M., RAYMOND, M.R. & SVEC,J.C. 1991. Adjustments for rater effects. Applied Psychological Measurement, 15(4):409-421. [ Links ]

    KONDRASUK, J.N. 2011. So what would an ideal performance appraisal look like? Journal of Applied Business and Economics, 12(1):57-71. [ Links ]

    LITTLE, T.D., SCHNABEL, K.U. & BAUMERT, J. 2000. Modeling longitudinal and multilevel data. London: Lawrence Erlbaum Associates Publishers. [ Links ]

    MARGRAVE, A. & GORDEN, R. 2001. The complete idiot's guide to performance appraisals. New York: Alpha Books/Macmillan. [ Links ]

    McCULLOCH, CE. SEARLE, S.R., & CASELLA, G. 1996. Variance components. New York: John Wiley. [ Links ]

    McCULLOCH, CE., SEARLE, S.R. &NEUHAUS, J.M. 2008. Generalized, linear, and mixed models (2nd ed.) New York: John Wiley. [ Links ]

    OGUNFOWORA, B., BOURDAGE, J. & LEE, K. 2010. Rater personality and performance dimension weighting in making overall performance judgments. Journal of Business and Psychology, 25:465-476. [ Links ]

    PULAKOS, E.D. 1986. The development of training programs to increase accuracy on different rating forms. Organizational Behavior and Human Decision Processes, 38:76-91. [ Links ]

    ROBINSON, G.K. 1991. That BLUP is a good thing: the estimation of random effects. Statistical Science, 6: 15-51. [ Links ]

    RUSSELL, M. 2000. Summarizing change in test scores: shortcomings of three common methods. Practical Assessment, Research & Evaluation, 7(5). Available at: http://pareonline.net/getvn.asp?v=7&n=5 [Accessed 2009-09-16]. [ Links ]

    SAS INSTITUTE 1992. SAS Technical Report P-229. Carey (North Carolina): SAS Institute Inc. [ Links ]

    SAXENA, S. 2010. Performance management system. Global Journal of Management and Business Research, 10(5):27-30. [ Links ]

    SHAPIRO, S.S. AND WILK, M.B. 1965. An analysis of variance tests for normality (Complete Samples). Biometrika, 52:591-611. [ Links ]

    SKRONDAL, A. & RABE-HESKETH, S. 2004. Generalized latent variable modelling: multilevel, longitudinal and structural equation models. London: Chapman and Halls. [ Links ]

    UGGERSLEV, K.L., & SULSKY, L.M. 2008. Using frame-of-reference training to understand the implications of rater idiosyncrasy for rating accuracy. Journal of Applied Psychology, 93:711-719. [ Links ]

    WOEHR D.J., SHEEHAN, M.K., BENNETT, W. 2005. Assessing measurement equivalence across ratings sources: a multitrait-multirater approach. Journal of Applied Psychology, 90:592-600. [ Links ]

    WOLFE, E.W. 2004. Identifying rater effects using latent trait models. Psychology Science, 46:35-51. [ Links ]

    WOLFE, E.W., MOULDER, B.C., & MYFORD, C.M. 2001. Detecting differential rater functioning over time (DRIFT) using a Rasch multi-faceted rating scale model. Journal of Applied Measurement, 2:256-280. [ Links ]

    ZEWOTIR, T. 2001. Influence diagnostics in mixed models. PhD thesis: University of Witwatersrand. [ Links ]

    ZEWOTIR T. & GALPIN, J.S. 2004. The behaviour of normality under non-normality for mixed models. South African Statistical Journal, 38:115-138. [ Links ]