Statistic Analysis for Rating Data
スポンサーリンク
概要
- 論文の詳細を見る
There have been reports suggesting that differences occur in ratings for each individual. Therefore the grading figures show the merits of the subjects of the evaluations, as well as the influences by the personal differences in ratings.<BR>When it comes to rating data, the true rating scores can be expressed by showing the personal differences with the factor analysis. However, reality is that ratings often cannot be done alone, and in these cases, systematic missing patterns would be included to the analyses. Under the data in which systematic missing patterns occur, however, the usual factor analysis cannot be utilized because the rating scores cannot be shown on common scales.<BR>Under these circumstances, the suggestion made by Allison (1987) could be applied to show the factor scores on common scales.<BR>With this in mind, the purpose of this research lies in suggesting effective rating designs and rating models for the rating data which include numbers of systematic missing patterns.<BR>As a result of this research, the following two points were proven to be effective: 1.) speaking of rating design, increasing the ratio of the common raters, and 2.) placing raters who well describe the tendency of the whole as the common raters.<BR>Also, as a result of comparing the rating models using AIC, models that acknowledged the personal differences with both the rating difficulty and the rating discrimination were proven to be the most appropriate.<BR>As shown in this research, efficient rating designs and highly reasonable rating models were examined and taken under consideration.
- 特定非営利活動法人 日本評価学会の論文
特定非営利活動法人 日本評価学会 | 論文
- 途上国公共財政経営の制度評価方法と政策評価方法
- Three-dimensional analysis incorporating the Weight of Factors for Evaluation －A Case for the University Course Evaluation－
- Ten Years of Evaluation Practices in the Prefectures of Japan
- Performance Measurement in Local Government Problems and Prospects
- A Study on Outcome Measurement with Social Indicators