並列タイトル等The Generalized x2 Goodness-of-fit Test for Large-scale Sample: Application to the data of JGSS
一般注記The Japanese General Social Surveys (JGSS) are designed and carried out at the Institute of Regional Studies at Osaka University of Commerce in collaboration with the Institute of Social Science at the University of Tokyo under the direction of Ichiro TANIOKA ,Michio NITTA, Noriko IWAI and Tokio YASUDA. The project is financially assisted by Gakujutsu Frontier Grant from the Japanese Ministry of Education, Culture,Sports,Science and Technology for 1999-2008 academic years, and the datasets are compiled and distributed by SSJ Data Archive,Center for Social Research and Data Archives,Institute of Social Science,the University of Tokyo.:Original text is available at http://jgss.daishodai.ac.jp/research/monographs/jgssm3/jgssm3_13.pdf
Large-scale sample surveys cause the practical problem that any statistical tests
for the survey data must reject null hypotheses easily. If sociologists receive the results of the statistical tests with no consideration, they should make an error to
regard trivial characters of the population as important features. This paper applies
‘the generalized x2 goodness-of-fit test’ to the data of JGSS-2002, and show one of the
methods to solve the problem. The generalized x2 goodness-of-fit test was developed in medical data analyses, but it should be useful in sociological data analyses. Because the method can test the null hypothesis that non-zero amount of lack of fit is present, and check whether there is ‘the large amount’ of divergence from a model or not. The result of the application of the method to JGSS-2002 data was very good, because the method could clarify whether the large amount of divergence was present. If we can establish the appropriate amount of divergence for null hypotheses, the
generalized x2 goodness-of-fit test will be a very useful instrument for the analyses of
large-scale samples.
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）