リッカート型項目データの間隔データとしての使用
スポンサーリンク
概要
- 論文の詳細を見る
Likert (1932) developed a scale for the measurement of attitudes, which became known as the "Likert scale." Nowadays, data extracted from a single Likert-type item are often treated as interval data under the name of Likert scale or Likert data. This is unfortunate because such data are illegitimate Likert data. They are ordinal data by construction. In order to distinguish from legitimate Likert data, data extracted from a single Likert-type item are called "Likert type item data" in this paper. This paper investigates the logic of the Likert scale in order to find out whether or not Likert-type item data can be treated as interval data under a certain condition. In Likert's book, the normal population is used as a system of transformation from rank information to quantitative information. This mechanism can be used for the case of Likert-type item data as well. From the viewpoint of emphasizing the importance of normal population, this paper shows a practical condition under which Likert-type item data can be treated as interval data. Furthermore, this paper provides answers to a few questions discussed among researchers using Likert-type item data. Labovitz (1967, 1970) demonstrates that treating ordinal data as interval data by arbitrarily assigning numbers to ordinal categories can be both legitimate and useful. This paper critically analyzes the logic behind Labovitz's idea. Such analysis recognizes the importance of the normal population assumption.
- 青森公立大学の論文
- 2005-03-22
青森公立大学 | 論文
- 投影X線顕微鏡によるウニの受精卵の内部構造の観察
- 学校教育の有用性に関する一研究
- 生命と地球(2)総論として生命の多様性
- 生命と地球--総論としての生命の起源と初期進化
- 神経堤細胞と脊椎動物の体制に関する一考察