論文 - 星野　崇宏

Interrelationship among the recognition of the six basic emotions in faces

Atsunobu Suzuki, Takahiro Hoshino, Kazuo Shigemasu

Japanese Journal of psychonomic society 23   107 - 108 2004年

共著, 査読有り

• Access to Document (DOI)

Bayesian Procrustes Solution

Kazuo Shigemasu, Takahiro Hoshino

Behaviormetrika 31   1 - 13 2004年

共著, 査読有り

傾向スコア解析法による因果効果の推定と調査データの調整について

星野　崇宏,　繁桝　算男

行動計量学 （The Behaviormetric Society of Japan）  31 （ 1 ） 43 - 61 2004年

共著, 査読有り

　概要を見る

In behavioral sciences, it is often difficult to execute an experimental study with random assignment. Therefore researchers usually do a quasi-experiment or a survey study without random assignment. However, under these studies the distributions of the covariates that would affect dependent variables usually differ with the values of the independent variables. To eliminate the influence of the covariates, various adjustment methods such as analysis of covariance have been applied to these data. Recently new adjustment methods using the propensity score proposed by Rosenbaum & Rubin (1983) ...

[Stagewise estimation for regression analysis when independent variables are latent variables].

Hoshino T

Shinrigaku kenkyu : The Japanese journal of psychology 74 （ 3 ） 218 - 26 2003年08月

ISSN  0021-5236

Stagewise estimation for regression analysis when independent variables are latent variables

Hoshino T.

Shinrigaku Kenkyu （Shinrigaku Kenkyu）  74 （ 3 ） 218 - 226 2003年08月

ISSN  00215236

　概要を見る

Psychological research often deals with psychological constructs that cannot be directly measured. Thus independent variables of regression analysis for an observable dependent variable are sometimes latent variables (factors) that are defined independently of the dependent variable. In this study we pointed out the problem associated with the use of factor analysis for the combined set of dependent variable and independent variables in such a cases; that is, the derived factors are different from those originally intended, and the true regression parameters cannot be reproduced. We proposed a stagewise estimation method to solve the problem. This method estimates parameters of measurement equation in the first stage, and then estimates parameters of structural equation in the second stage. Our proposed method enables calculation of standard errors of estimators using Bootstrapping method. Numerical studies showed that the proposed method improves the estimation efficiency over the conventional methods, and provides estimates which are robust with respect to misspecification of model.

• Access to Document (DOI)

調査データに対する傾向スコアの適用(<特集>品質経営のための調査の方法)

星野 崇宏

品質 （社団法人日本品質管理学会）  33 （ 3 ） 44 - 51 2003年07月

単著, 査読有り,  ISSN  3868230

潜在変数への観測変数の回帰に関する問題と段階推定による解決

星野　崇宏

心理学研究 74 （ 3 ） 218 - 226 2003年

単著, 査読有り

Market Segmentation Method From the Bayesian Viewpoint

Kazuo Shigemasu, Takuya Ohmori, Takahiro Hoshino

Between Data Science And Applied Data Analysis    595 - 602 2003年

共著, 査読有り

精神病理の症状と性格5因子モデルとの関係

佐々木 淳, 星野 崇宏, 丹野 義彦

教育心理学研究 （Japanese Journal of Educational Psychology）  50 （ 1 ） 65 - 72 2002年03月

共著,  ISSN  215015

　概要を見る

The purpose of the present study was to confirm the structure of scales measuring dominant psychopathologies, such as depression, anxiety, delusional ideation, and obsessional-compulsive disorder, in the context of the view of personality as a predispositional factor. Scales were administered to 362 university students. In Study 1, 14 subscales were subjected to a principal axis factor analysis with oblique rotation. Four factors were obtained. Factor 1 was mainly delusional ideations with negative emotion; Factor 2, depression, anxiety, and 2 psychopathologies of obsessional compulsive disorder; Factor 3, delusional ideation with positive emotion; and Factor 4, 2 psychopathologies of obsessional compulsive disorder. In Study 2, we calculated the correlations among the psychopathology and personality scales, and found that the variables in each factor showed the same pattern of correlation with personality. In Study 3, we used structural equation modeling in order to investigate the correlations among latent variables and personality. Each latent variable showed a different pattern of correlation with personality. We obtained a structure of psychopathology that reflected personality.

• Access to Document (DOI)

Bayesian Analysis of Structural Equation Modeling

Kazuo Shigemasu, Takuya Ohmori, Takahiro Hoshino

Measurement and Multivariate Analysis    207 - 216 2002年

共著, 査読有り

多次元項目反応理論での相関のある特性値の線形結合に関するテスト情報関数

星野　崇宏

教育心理学研究 （Japanese Journal of Educational Psychology）  49 （ 4 ） 491 - 499 2001年

単著, 査読有り,  ISSN  00215015

　概要を見る

In educational evaluation and psychological measurement, we often measure traits that contain several sub-traits. When tests, such as entrance examinations, are used for decision-making, often test users do not evaluate the sub-traits directly, but rather evaluate the linear combination of sub-traits in which weights were pre-specified by the test users. In the present research, we propose a new test information function and item information that enable us to evaluate linear combinations of sub-traits in which the traits are correlated. Nuisance dimensions of linear combinations are integrated out in the proposed information function. This will enable test editing in which linear combinations of sub-traits can be evaluated prior to executing the test. We also propose a method for comparing values of information functions that have different weights and/or different correlations. A numerical simulation study showed the validity of our methods. We also applied our methods to the item pool of Geometry and Statistics of the 1996 NAEP test.

ベイズ的アプローチによる因子平均の群間差・線形対比の有意性検定

星野　崇宏, 橋本　貴充, 繁桝　算男

教育心理学研究 （Japanese Journal of Educational Psychology）  49 （ 1 ） 31 - 40 2001年

単著, 査読有り,  ISSN  00215015

　概要を見る

The present article proposes Bayesian inference for multiple group factor analysis, via a Gibbs sampling algorithm. When this method is used, a significance test for the difference of factor means between groups and a test for linear contrast can be done to determine whether a point hypothesis is in the Bayesian canfidemce interval of the posterior distribution. Baysian inference is not used in research in educational psychology because of its arbitrariness in the selection of the prior distribution. However, all the methods described in the present article can be done with a noninformative prior distribution, thus excluding subjectivity. As a result, researchers will be able to use Bayesian inference easily and objectively. In order to compare the proposed method with a x2 asymptotic likelihood test in terms of their respective power, 1400 simulation data sets for N = 160 and N = 80 were generated. The proposed method has some advantages over the x2 test in that control of Type-1 errors is complete with small-sized samples, and also in that the Haywood case problem does not occur. The proposed method was used to analyze the relationship of age and intelligence as measured by the WAIS-R, and a composite hypothesis was evaluated.

• Access to Document (DOI)

Bayesian Inference for Finite Mixtures in Confirmatory Factor Analysis

Takahiro Hoshino

Behaviormetrika 28   37 - 64 2001年

単著, 査読有り