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Research evaluating 360-degree feedback systems tends to demonstrate superior outcomes to more traditional performance assessments. 360-degree systems rely upon multiple points of evaluation including supervisors, peers, self-rating, subordinates, computer-based ratings, and in some instances outside sources such as customers or clients. Discuss the advantages of a multi-rater system to improve evaluation of leaders and subordinates. Examine the challenges of the 360-degree feedback system especially considering how to increase rater agreement, frame-of-reference, and how to ensure raters know what behaviors and characteristics comprise effective performance. Lastly, analyze the future of 360-degree feedback and the inclusion of computer-based assessment within a 360-degree feedback system.

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Write an essay (1,750-2,000 words) in which you will analyze the 360-degree feedback system. In your essay address the following:

1. Examine the advantages of tjhe 360-degree feedback system.

2. Evaluate the impact of 360-degree feedback on leadership style from a theoretical perspective of leadership.

3. Discuss an empirical examination that challenges the 360-degree feedback system.

4. Evaluate current and proposed sources of information within 360-degree feedback.


Jabrayilov, R., Emons, W. H. M., & Sijtsma, K. (2016). Comparison of classical test theory and item response theory in individual change assessment. Applied Psychological Measurement, 40(8), 559-572. doi:10.1177/0146621616664046



De Champlain, A. F. (2010). A primer on classical test theory and item response theory for assessments in medical education. Medical Education, 44(1), 109-117. doi:10.1111/j.1365-2923.2009.03425.x



Whittaker, T. A., & Worthington, R. L. (2016). Item response theory in scale development research: A critical analysis. The Counseling Psychologist, 44(2), 216-225. doi:10.1177/0011000015626273



Sinharay, S. (2016). Person fit analysis in computerized adaptive testing using tests for a change point. Journal Of Educational and Behavioral Statistics, 41(5), 521-549. doi:10.3102/1076998616658331



Lu, H., Hu, Y., Gao, J., & Kinshuk. (2016). The effects of computer self-efficacy, training satisfaction and test anxiety on attitude and performance in computerized adaptive testing. Computers & Education, 100, 45-55. doi:10.1016/j.compedu.2016.04.012



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