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Estimating performance mean and vari...
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Colatat, Mahyulee Chang.
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Estimating performance mean and variability with distributional ratings scales: A field study towards enhanced performance measurement.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Estimating performance mean and variability with distributional ratings scales: A field study towards enhanced performance measurement./
作者:
Colatat, Mahyulee Chang.
面頁冊數:
59 p.
附註:
Adviser: Milton Hakel.
Contained By:
Dissertation Abstracts International69-02B.
標題:
Business Administration, Management. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3301777
ISBN:
9780549471875
Estimating performance mean and variability with distributional ratings scales: A field study towards enhanced performance measurement.
Colatat, Mahyulee Chang.
Estimating performance mean and variability with distributional ratings scales: A field study towards enhanced performance measurement.
- 59 p.
Adviser: Milton Hakel.
Thesis (Ph.D.)--Bowling Green State University, 2008.
Research on distributional rating scales is mixed on whether they represent an improvement in performance measurement over traditional Likert-type scales. The present study attempted to reconcile the mixed results by suggesting that distributional ratings provide estimates of mean performance comparable to Likert-type ratings, yet also contribute conceptually critical estimates of performance variability unavailable from Likert-type ratings. Approximately 2,090 undergraduate students in 95 classes rated their instructors' performance. Data were collected in a between-classes design with random assignment to either distributional or Likert-type rating scale conditions. Results indicated no significant differences in estimates of mean performance or interrater agreement for mean performance between distributional and Likert-type rating scales. Further, raters used the distributional scale to report some degree of performance variability, and surprisingly, they agreed on variability estimates as much as or more than they agreed on mean estimates. Thus, distributional rating scales indeed have the potential to capture richer performance information than Likert-type scales.
ISBN: 9780549471875Subjects--Topical Terms:
626628
Business Administration, Management.
Estimating performance mean and variability with distributional ratings scales: A field study towards enhanced performance measurement.
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