Abstract
Abstract : Ratings are an important source of information about job performance. For many jobs, objective measures of performance are not available or are impractical to obtain so that ratings are a distorted source of information. The multitrait-multimethod designs have been used to investigate the distortions in ratings. The purpose of using these research designs is to isolate the factors that distort the ratings and to use this knowledge to improve the quality of performance ratings. The goal of the present research was to develop a design that combined both the multitrait-multimethod and person perception designs. Each design was discussed, and examples were presented to illustrate that design. The combination design was used to isolate the influence of rater, rate, and context factors on the quality of performance ratings. Future research was recommended to understand and utilize these factors to improve performance ratings. (Author)
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
