Papers - Hoshino, Takahiro

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

Joint Work, Accepted

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Bayesian Procrustes Solution

Kazuo Shigemasu, Takahiro Hoshino

Behaviormetrika 31   1 - 13 2004

Joint Work, Accepted

Estimation of Causal Effect and Adjustment of Survey Data using Propensity Scores

HOSHINO Takahiro, SHIGEMASU Kazuo

The Japanese Journal of Behaviormetrics (The Behaviormetric Society of Japan)  31 ( 1 ) 43 - 61 2004

Joint Work, Accepted

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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 2003.08

ISSN  0021-5236

Stagewise estimation for regression analysis when independent variables are latent variables

Hoshino T.

Shinrigaku Kenkyu (Shinrigaku Kenkyu)  74 ( 3 ) 218 - 226 2003.08

ISSN  00215236

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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.

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Application of Propensity Score to Web Survey to Approximate Random Sampling (<Features> Research Methods for Quality Management)

HOSHINO Takahiro

Journal of the Japanese Society for Quality Control (社団法人日本品質管理学会)  33 ( 3 ) 44 - 51 2003.07

Single Work, Accepted,  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

Single Work, Accepted

Market Segmentation Method From the Bayesian Viewpoint

Kazuo Shigemasu, Takuya Ohmori, Takahiro Hoshino

Between Data Science And Applied Data Analysis    595 - 602 2003

Joint Work, Accepted

Psychopathologies and the Five-Factor Model of Personality

SASAKI JUN, HOSHINO TAKAHIRO, TANNO YOSHIHIKO

The Japanese journal of educational psychology (日本教育心理学会)  50 ( 1 ) 65 - 72 2002.03

Joint Work,  ISSN  215015

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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.

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Bayesian Analysis of Structural Equation Modeling

Kazuo Shigemasu, Takuya Ohmori, Takahiro Hoshino

Measurement and Multivariate Analysis    207 - 216 2002

Joint Work, Accepted

A Test Information Function for Linear Combinations of Traits Without Nuisance Traits in Multidimensional Item Response Theory

HOSHINO TAKAHIRO

The Japanese journal of educational psychology (The Japanese Association of Educational Psychology)  49 ( 4 ) 491 - 499 2001

Single Work, Accepted,  ISSN  00215015

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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 integra...

A Bayesian Significance Test for the Difference and Linear Combination of Factor Means Between Groups

HOSHINO TAKAHIRO, HASHIMOTO TAKAMITSU, SHIGEMASU KAZUO

The Japanese journal of educational psychology (The Japanese Association of Educational Psychology)  49 ( 1 ) 31 - 40 2001

Single Work, Accepted,  ISSN  00215015

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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...

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Bayesian Inference for Finite Mixtures in Confirmatory Factor Analysis

Takahiro Hoshino

Behaviormetrika 28   37 - 64 2001

Single Work, Accepted