Behaviormetrika

Items from 1 to 8 out of 8 results

article

Selection of Item Response Model by Genetic Algorithm

Kojiro Shojima

Behaviormetrika > 2007 > 34 > 1 > 1-26

A method of selecting an item response model with a genetic algorithm is proposed, where a model indicator variable is regarded as a chromosome to distinguish other individuals. This scheme enables a model for each item to be selected automatically. The genetic algorithm with the set of techniques that is implemented here is called the simple genetic algorithm, and the results obtained from simulation...

article

A Test Statistic in Canonical Correlation Analysis for Categorical Variables

Kenji Aoki, Yoshiharu Sato

Behaviormetrika > 2007 > 34 > 1 > 59-74

In canonical correlation analysis (CCA), it is important to estimate the number of nonzero canonical correlations in the population. One way to estimate the number is to consider the dimensionality testing problem. In CCA for continuous variables, some test statistics for the problem have been derived under the normality assumption. However, there are only a few papers on test statistics in CCA for...

article

A Model of the Relationship Between Psychosocial Variables and Diurnal Cortisol Rhythm Under Chronic Stress by Using Structural Equations

Yayoi Oda, Tsuneyuki Abe, Ruriko Takano, Amane Tatsuta, more

Behaviormetrika > 2007 > 34 > 1 > 45-57

By using structural equations, we investigated the effect of chronic stress on salivary cortisol rhythm and proposed a causal model of chronic stress by using psychosocial and physiological data. First, 111 healthy workers (48 males, 63 females) completed questionnaires on chronic stress and lifestyle habits. Then, they provided saliva samples and answered questionnaires that were prepared to assess...

article

Perfect Bayesian vs. Imperfect Bayesian in Small Decision Making Problems

Takemi Fujikawa

Behaviormetrika > 2007 > 34 > 1 > 27-44

This is an experimental economics research on human behaviour in “small decision making”. I set up ambiguity treatments in which there are two states of nature: a favourable state and an unfavourable state, but only one of them obtains on any given trial. The decision makers’ basic task is a binary choice between a risky option with higher expected value and a riskless option with lower expected value...

article

Multilevel Generalized Structured Component Analysis

Heungsun Hwang, Yoshio Takane, Naresh Malhotra

Behaviormetrika > 2007 > 34 > 2 > 95-109

Generalized structured component analysis has been proposed as an alternative to partial least squares for path analysis with latent variables. In practice, observed and latent variables may often be hierarchically structured in that their individual-level scores are grouped within higher-level units. The observed and latent variable scores nested within the same higher-level group are likely to be...

article

Sample Size Determination for Hierarchical Linear Models Considering Uncertainty in Parameter Estimates

Taichi Okumura

Behaviormetrika > 2007 > 34 > 2 > 79-93

A new simulation-based approach to sample size determination for hierarchical linear models (HLM) which uses preliminary data is proposed. This approach acknowledges uncertainty in parameter values associated with the estimates obtained from a preliminary data. Taking samples repeatedly, via computer simulation, from the posterior predictive distribution for future observations, we can estimate statistical...

article

Decision Making With Information Search Constraints: A Process Tracing Study

Kazuhisa Takemura, Marcus Selart

Behaviormetrika > 2007 > 34 > 2 > 111-130

The present study examined the influence of information search constraints both on the information search pattern and on the perceived inner states during the decision making process. We arranged the following three information search constraints conditions: (1) An upper-limited-search (UL) condition in which a decision maker could not examine the same piece of information for the decision task more...

article

Factor Structure of the National Center Test 2005 by the Full-Information Pseudo-ML Method

Kojiro Shojima, Tatsuo Otsu, Shin-ichi Mayekawa, Masaaki Taguri, more

Behaviormetrika > 2007 > 34 > 2 > 131-156

We analyzed data from the National Center Test for University Admissions (NCT) administered in January 2005 by applying three different factor analysis (FA) models: an exploratory FA model, a confirmatory FA model, and a hierarchical FA model. The data was collected from 385,494 students and included 17 variables of the 15 principal subjects.Two difficulties were experienced in applying FA models...

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34
Year:
2007

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Keywords

STRUCTURAL EQUATION MODELING (2)
ALTERNATING LEAST SQUARES (1)
AMBIGUITY (1)
ASYMPTOTIC DISTRIBUTIONS (1)
BAYESIAN UPDATING (1)
CANONICAL CORRELATION ANALYSIS (1)
CATEGORICAL VARIABLES (1)
CAUSAL MODEL (1)
CHOICE (1)
CHRONIC STRESS (1)
CONFIRMATORY FACTOR ANALYSIS (1)
CORRESPONDENCE ANALYSIS (1)
CORTISOL RHYTHM (1)
COVARIANCE COVERAGE (1)
CUSTOMER SATISFACTION (1)
DECISION MAKING PROCESS (1)
DIMENSIONALITY TESTING PROBLEM (1)
EM ALGORITHM (1)
EXPERIMENTAL ECONOMICS (1)
FEEDBACK-BASED DECISIONS (1)
FULL-INFORMATION FACTOR ANALYSIS (1)
GENERALIZED PARTIAL CREDIT MODEL (1)
GENERALIZED STRUCTURED COMPONENT ANALYSIS (1)
GENETIC ALGORITHM (1)
GENETIC PROGRAMMING (1)
GRADED RESPONSE MODEL (1)
HEALTHY INDIVIDUALS (1)
HIERARCHICAL FACTOR ANALYSIS (1)
HIERARCHICAL LINEAR MODELS (1)
INFORMATION CONSTRAINTS (1)
INFORMATION SEARCH (1)
ITEM RESPONSE THEORY (1)
MEDIATOR (1)
MISSING AT RANDOM (1)
MOSES TEST (1)
MULTI-GROUP ANALYSIS (1)
MULTILEVEL ANALYSIS (1)
MULTINOMIAL DISTRIBUTION (1)
POLYTOMOUS MODEL (1)
POSTERIOR PREDICTIVE DISTRIBUTION (1)
PRELIMINARY DATA (1)
PROCESS TRACING (1)
PSEUDO-MAXIMUM LIKELIHOOD (1)
REGULARITY OF SLEEP (1)
SALIVARY CORTISOL (1)
SAMPLE SIZE DETERMINATION (1)
SCHOLASTIC ACHIEVEMENT (1)
SMALL DECISIONS (1)
SUBJECTIVE STATES (1)
THE NATIONAL CENTER TEST FOR UNIVERSITY ADMISSIONS (1)
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