{"title":"Factors that Affect Interpretation of the Overall Meaning of Paired Japanese Probability Expressions","authors":"T. Fujii","doi":"10.2333/JBHMK.32.109","DOIUrl":"https://doi.org/10.2333/JBHMK.32.109","url":null,"abstract":"This study investigated how individuals interpret the overall meaning of two Japanese statements of verbal probability reporting the likelihood of an event's occurrence, and what kinds of factors affect these interpretations. Previous research has focused mainly on the interpretation of verbal probability expressed in a single statement regarding the occurrence of a single event. Although we are often given multiple statements about the likelihood of a single event's occurrence in our daily conversation, few studies have examined such instances of multiple information presentation. In this experiment, participants answered a series of choice questions presented in booklets. From their answers, certainty equivalents of single verbal probability statements and of two statements were calculated. The data show that interpretations of the overall meaning of the two probability statements were affected by the following factors: factors of the type of outcome (gain or loss), presentation order, and degree of inconsistency between the statements. Interpretations of the overall meanings were less than the simple average of two statements, and were not interpreted as larger (or smaller) than the likelihood of each statement.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"20 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AN EXPLORATORY DISCRIMINANT ANALYSIS SUPPORTED BY THE FACE GRAPH","authors":"F. Sugimoto, N. Honda","doi":"10.2333/jbhmk.18.52","DOIUrl":"https://doi.org/10.2333/jbhmk.18.52","url":null,"abstract":"Multidimensional graphical method can be utilized on a multivariate data analysis through a procedure in which the multidimensional graphical method supports the statistical method with supplying deficiency of them.We present a procedure of combining both the face graph and Discriminant Function Method(DFM)to carry out exploratively discriminant analysis. However, in order to realize this procedure it needs to previously investigate differences of function between both methods.The results of the investigation showed that the face graph has two advantages over DFM that the discriminant analysis can be carried out when the training data are not sufficiently obtained and outliers in analysed data set can be easily found. Therefore, adopting the procedure of combining the face graph and DFM will make an efficient exploratory discriminant analysis.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127421760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Questionnaire Design and Data Analysis using Facet Approach","authors":"K. Manabe","doi":"10.2333/JBHMK.30.53","DOIUrl":"https://doi.org/10.2333/JBHMK.30.53","url":null,"abstract":"The purpose of this paper is to illustrate the utility of Facet Approach developed by L. Guttman and his group by using the example of the questionnaire design and data analysis of the International Census on Attitudes toward the Japanese Language. Facet Approach is composed of three parts :(1) Facet Design. This involves the construction (Structuples) and use of Mapping Sentences for questionnaire design.(2) Facet Analysis. This includes Scalogram Analysis, Partial Order Scalogram Analysis, Smallest Space Analysis, Median Regression Analysis, and so on.(3) Facet Theory. The First Law, The Second Law, and the Laws of Polytone Regressions have been proposed and tested in diverse empirical contexts.I attempt to summarize the basic ideas of Facet Approach by focusing on the above three areas, which I believe are useful for the systematic design of a questionnaire survey. Facet Design can be used to analyze questionnaires to determine the completeness of the information gathered. Some examples of such analyses are shown. Facet Theory guides the data analysis in that it identifies meaningful and interpretable relations which can be explored statistically. In this paper I demonstrate three different kinds of data analysis (Facet Analysis) guided by Facet Theory.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128886863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Logos and Pathos:: Chikio HAYASHI and Marketing Research","authors":"Tokuhisa Suzuki","doi":"10.2333/JBHMK.45.107","DOIUrl":"https://doi.org/10.2333/JBHMK.45.107","url":null,"abstract":"","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130630215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Tsuchisawa, H. Miyahara, M. Shirataka, K. Tsutsumi
{"title":"MMPI Scale Scores Tested at the Time of Entrance into Medical School Its Lesser Use for the Prediction of the Future Repeater","authors":"K. Tsuchisawa, H. Miyahara, M. Shirataka, K. Tsutsumi","doi":"10.2333/JBHMK.24.112","DOIUrl":"https://doi.org/10.2333/JBHMK.24.112","url":null,"abstract":"We tested students with MMPI tests on their entrance into medical school, and tried to find the current features of scale scores of the tests as compared with the Japanese reference values obtained more than 25 years before. Since the data consisted of responses for two Japanese language translation versions of the tests we stratified the data by version, sex and calendar year, respectively and calculated means and standard deviations of 14 scale scores in each stratum. By comparing with the mean values of standard population, we found lower Si and higher K scores in both male and female, and significant differences in Mf scores between male and female students. On the other hand, we found neither differences due to temporal trends nor differences between versions of the test. More importantly, we were unable to find differences between successful students and those who had had to repeat a year. Indeed, correct predictions, using a linear discriminant function based upon seven of the scales, were only 60% in male and 64% in female students, respectively. Now, when we used a simple assumption as the diagnostic rule-that no students repeated-then 64% of male and 83% of female students were correctly classified; a result superior to the discriminant function rule. However, by using a different linear discriminant function, with variables selected directly from 550 unit items of MMPI test battery, we were able to attain marginally better separation than the simple rule, but for male students only. In conclusion, it is difficult to obtain a practical prediction rule using MMPI scale scores, even though use of the unit items of MMPI might improve accuracy of predictions.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132041240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reliability of JNN Data Bank Research","authors":"Hisanori Watanabe","doi":"10.2333/jbhmk.23.28","DOIUrl":"https://doi.org/10.2333/jbhmk.23.28","url":null,"abstract":"Today many social researches are made by broadcasting companies in Japan. In this paper, first the purposes of these researches are shown. Second this paper focuses on JNN Data Bank Research which is conducted every year by using random samples and self administration method in Kanto area, and discusses the reliability of it. Finally the problems which confront us now are shown and the measures to conquer them are discussed.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130864104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RDD Survey of the Asahi Shimbun","authors":"Eiji Matsuda","doi":"10.2333/JBHMK.29.81","DOIUrl":"https://doi.org/10.2333/JBHMK.29.81","url":null,"abstract":"The Asahi Shimbun telephone survey made the transition from the list-assisted method to ASAHI-RDD (Random Digit Dialing) method in its survey prior to the Upper House Election in July, 2001. In fact, the Asahi Shimbun had estimated that more seats would be taken by the LDP than the actual results showed in the Upper House election in 1998 and in the Lower House election 2000, where they were without a win. The most probable cause of past failures consists of the non-coverage error since the list-assisted method had serious faults due to the large unlisted population. As RDD promised to give better results, Asahi decided to make use of Random Digit Dialing. While the Asahi method consists of Bank2 and random sampling, it does not use quota sampling. Its bank2-map includes the data, the number of listed-households and the overlap rate of area. A time schedule is created arranging the number of interviewers according to each day of the week. In addition to the problems caused by the current widespread use of mobile phones, there are many other problem areas which we must investigate and make efforts to solve.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131427022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quantitative Sociology of Social Stratification","authors":"Kazuo Seiyama","doi":"10.2333/JBHMK.24.1","DOIUrl":"https://doi.org/10.2333/JBHMK.24.1","url":null,"abstract":"Quantitative studies of social stratification and social mobility have greatly contributed to the spread and popularization of statistical analysis among sociological researches. Various new statistical methods were promptly utilized in the field of stratification studies and this helped not only sociologists to analyse the stratification data with greater conceptual clarity and precision but statisticians to develop their methods with concrete empirical applications. However, in recent days the fever which in past days activated many stratification researches seems to have declined from its highest level. One reason for this is undoubtedly the general, both in academics and in populace, decline of concern over the class problems in modern society. Another reason seems to reside in the quantitative stratification studies themselves. This paper analyses the methodological problems which we the stratification researchers need to solve in order to reactivate the social stratification studies.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129306045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From Multi-Variate Analysis through Quantification-Theory to Multi-Dimensional Scaling","authors":"H. Akuto","doi":"10.2333/JBHMK.45.75","DOIUrl":"https://doi.org/10.2333/JBHMK.45.75","url":null,"abstract":"Last year, in 2017, The Behaviormetric Society conducted a symposium entitled “Behaviormetrika and Dr. Chikio Hayashi—Celebrating his 100 years from his birthday—.” This essay was revised and enlarged edition of my lecture at that symposium. In this essay, I tried to describe and analyze why Dr. Hayashi’s methods, including “Idea of Quantification” and “Quantification theories” were so widely accepted and highly evaluated in many fields of academic societies, and influenced many areas of human societies. On group of “Quantification Theories”, the author has opinions that “Quantification Theory Family IV and Family V” are specially unique and superb, hence contribute to policy decisions and social life in many ways. So, the author discussed on these two models, introducing several interesting research examples. On the naming for “Quantification theories” by myself, Use and Up-use of naming were discussed, which made clear Dr. Hayashi’s intentions of developing his theories and methods. Finally, the author picking up especially MDA-OR and MDA-UO by Dr. Hayashi, tried to discuss the unique and useful models of MDS, Multi-Dimensional-Scaling.","PeriodicalId":211147,"journal":{"name":"The Japanese Journal of Behaviormetrics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125420734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}