著者
池田 央
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.8, no.1, pp.30-41, 1981-08-01 (Released:2010-06-28)
参考文献数
26
被引用文献数
1
著者
三井 誠
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.2, no.2, pp.43-50, 1975-03-31 (Released:2010-06-28)
参考文献数
59
著者
林 拓也
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.44, no.1, pp.73-84, 2017 (Released:2017-12-01)
参考文献数
35

This study focuses on workers' differentiation in occupational cognition based on the subjective evaluation of distance between self and various occupations. Data from a Web survey conducted in 2013 are used. The sample consists of males or females in labor force between 20 and 59 years old. In the analyses I applied the Reduced K-means cluster analysis and 2 to 10 clusters of respondents were extracted. I adopt the 6 cluster solution with 4 dimensions. These clusters are interpreted in terms of affinity to occupations; (1) high status, (2) low status, (3) routine manual (male dominated), (4) high autonomy (male dominated), (5) personal service with professional, technical skills (female dominated), and (6) nonmanual in bureaucratic organization (female dominated). Then, I analyze the relationships between the cluster membership and several occupational traits of respondents to examine the differentiation of occupational groups. Implications of findings are discussed in terms of social class and gender segregation.
著者
寉田 知久
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.35, no.1, pp.5-16, 2008-03-28
参考文献数
6
被引用文献数
4

THE YOMIURI SHIMBUN has conducted monthly public opinion polls, using face-to-face interviews, since March 1978. Since the beginning of the 1990s, the response rate to these surveys has been decreasing, and is remarkably low in recent days. Since 2006, the average yearly response rate has been under 60%.<br>I believe the main reason for the decline is increasing awareness of personal privacy. As evidence of this, there has been a greater rise in the percentage of people who decline to participate, than in the percentage of those who are not at home when interviewers visit. We have taken steps to improve the situation, such as hiring skilled interviewers, but it has not stopped the decline. At this moment, we do not have a sure-fire method for improving the rate of response.<br>The current fashion is for RDD surveys, and if face-to-face interviews are to survive, I believe we must increase understanding of the importance of opinion polls. To that end, in addition to further improving the implementation of our surveys, we should make every effort to prepare fair-minded questions, analyze and report survey results appropriately and make data available to the public.
著者
丹後 俊郎
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.28, no.2, pp.56-67, 2001 (Released:2009-04-07)
参考文献数
15
被引用文献数
2 4

Meta-analysis is a statistical method which examines all the combinable studies on a particular subject conducted independently in the past in order to estimate the size of the common effect regarding the same research question, e.g., to estimate the efficacy, toxicity effect and environmental risk of certain treatments. In other words, meta-analysis is a scientific procedure that integrates the evidence obtained all over the world. This paper describes its application to clinical research.
著者
森川 高行
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.20, no.1, pp.12-20, 1993-03-31 (Released:2010-06-28)
参考文献数
8

Traditional travel demand models are estimated from revealed preference data with manifest explanatory variables and assume that the choice set is a priori given.This paper presents a methodology that combines revealed preference data and psychometric data in the development of travel behavior models. The approach is based on a theoretical framework that includes latent psychological factors of attitudes, perceptions, preferences and choice sets. General formulation of the framework is presented followed by more detailed presentation of three submodels: combined estimation from revealed and stated preference data, discrete choice models with latent explanatory variables, and development of latent choice set models.
著者
沖 嘉訓 前川 眞一
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.42, no.2, pp.117-128, 2015 (Released:2016-07-01)
参考文献数
37
被引用文献数
1

Multidimensional item response theory model (MIRT) is a sub-model of Item Response Theory (IRT). It assumes that multidimensional latent traits influence test item responses. Equating or linking, which calibrate the parameters of two or more tests, are critical to the application of IRT, because they allow for comparisons between test scores. However, little research has been conducted for MIRT equating, especially on the common examinee design. The present study describes three equating methods for MIRT, which utilizes rotation methods in factor analysis focusing on factor scores, by employing the common examinee design, and analyzes the characteristics of each method through computer simulations. The results of the simulations reveal that the Weighted Procrustes method is effective when correlations between equated scores of each dimension are expected to approximate the target ones.
著者
大山 正 瀧本 誓 岩澤 秀紀
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.20, no.2, pp.55-64, 1993-09-30 (Released:2011-01-25)
参考文献数
20
被引用文献数
3 5

Semantic Differential technique was applied to synesthetic tendencies or common affective effects between various stimulus categories of different sensory modalities; classical music, sounds, colours, forms, symbolic words, and movies. Factor analyses indicated three stable factors; evaluation, activity, and lightness(negative potency)across these six different stimulus categories. Classification of patterns of factor scores of 58 stimuli in different categories and cluster analysis based on these factor scores had been shown useful to classify these stimuli into affective groups independently of stimulus categories. Key words: Synesthesia, Semantic Differential, Affective meaning
著者
岩崎 学
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.26, no.1, pp.46-58, 1999-03-31 (Released:2010-06-28)
参考文献数
49
被引用文献数
2 3

Recent vast development of high-speed computer and large storing facilities together with network environment enables us to construct very large or sometimes huge databases such as giga-byte level. In order to extract novel, useful and also interpretable information from those databases, new technology becomes potentially important and being called for in various research and commercial fields. Data mining and knowledge discovery in databases(KDD)are the names given to such activity which involves database technology, machine learning, data visualization and statistics. Since we deal with data, statistics and statisticians are to be expected to play an essential role in data mining and KDD as well. Data mining, however, differs from traditional statistics on some dimensions, in which?gscale?his the most important one. The present paper first reviews recent achievement of data mining and KDD from a statistical viewpoint. Although some differences between data mining and traditional statistics are pointed out, it will be emphasized here that those two areas are closely related and should be recognized as complement to each other. Some important research areas are also discussed. One important message of this review is that statisticians should be involved in this new activity and should play a vital role in developing new methodologies and also in finding various application areas in practice.
著者
星野 崇宏 繁桝 算男
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.31, no.1, pp.43-61, 2004-03-30
参考文献数
72
被引用文献数
9 18

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) have been applied to many researches especially in the areas of medicine or economics, and these methods also attract attention in behavioral sciences. The propensity score methods are also used for adjustment of survey data. In this paper, we give a detailed explanation of several estimation methods of causal effect using the propensity scores and related topics. We also review adjustment methods of biased survey data using the propensity scores.
著者
金 明哲
出版者
The Behaviormetric Society of Japan
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.40, no.1, pp.17-28, 2013-03-28
被引用文献数
2 2

This paper proposes a method for authorship identification based on phrase patterns that occur in the Japanese language, using literary work, student's work, journals to carry out actual proof analysis. The results showed that a writer's writing characteristics could be told clearly in phrase patterns. Using Random Forests, the correct ratio for identifying the authors from two arbitrary authors of literary works as well as student compositions was 99% and 92% for journals. In order to show the effectiveness of the proposed method, a comparison between phrase patterns and trigram of POS was conducted. There was no obvious difference found in the rate of correct identification of writer between phrase patterns C and POS trigram. However, when the data of the phrase patterns C were combined with morphological data, it can obtain a higher rate of correct identification of the writer than having combined the data of POS trigram with morphological data. Based on this, we carried out an analysis on the authorship doubt surrounding Kawabata Yasunari's works and the works of Mishima Yukio, HMakoto and Sawana Hisao. Phrase patterns analysis suggested there was no doubt surrounding the authorship in Kawabata's work.
著者
岩崎 学
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.29, no.2, pp.223-231, 2002-12-25

Various types of ranking are in evidence throughout the real world. In this paper, we consider in particular, the field of sports, where ranking is most common. The 2002 FIFA World Cup Korea/Japan, which took place in June 2002, and the winner was Brazil. Since Brazil's FIFA world ranking was 2 just before the tournament, this result seemed quite plausible. On the other hand, however, France (ranking 1), Argentine (ranking 2) and Portugal (ranking 5) were not able to go to Stage 2 (best 16). These facts raise a question as to whether the FIFA ranking is credible in predicting the winners. In order to assess the credibility of such ranking, we introduce a simple model in this paper. Our model, which is an extension of the so-called Bradley-Terry model, contains an unknown parameter which indicates the credibility of the ranking. For the 2002 FIFA World Cup data, we estimated the credibility parameter and concluded that the FIFA world ranking for the 2002 tournament data was more credible in Stage 2 than in Stage 1.
著者
金 明哲
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.41, no.1, pp.35-46, 2014
被引用文献数
5

Text classification results often vary depending on the detailed factors in data analysis, including feature data, classification method, and parameter sets adopted in the analysis. The author of an anonymous text can be generally identified by extracting a set of distinctive features of the text, and then using the features to find the most likely author. Numerous efforts have been made to develop the feature extraction technique with more robustness and the classification algorithm, but an important issue is how to select the features datasets and classification method. To address this issue, we propose an integrated classification algorithm that extracts multiple feature datasets from differing viewpoints and aspects of a text and applies multiple strong classifiers to the datasets. Our proposed method achieved 100% accuracy in identifying the authors of literary works and student essays, and identified the author of all but 1 out of 60 diaries which were written by 6 different people.Our proposed method achieved equivalent or better accuracy than the case when any a strong classifier applied to individual feature dataset. Furthermore, the accuracy in identifying the authors of student essays increased by roughly two percentage points.
著者
金 明哲
出版者
The Behaviormetric Society of Japan
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.41, no.1, pp.35-46, 2014
被引用文献数
5

Text classification results often vary depending on the detailed factors in data analysis, including feature data, classification method, and parameter sets adopted in the analysis. The author of an anonymous text can be generally identified by extracting a set of distinctive features of the text, and then using the features to find the most likely author. Numerous efforts have been made to develop the feature extraction technique with more robustness and the classification algorithm, but an important issue is how to select the features datasets and classification method. To address this issue, we propose an integrated classification algorithm that extracts multiple feature datasets from differing viewpoints and aspects of a text and applies multiple strong classifiers to the datasets. Our proposed method achieved 100% accuracy in identifying the authors of literary works and student essays, and identified the author of all but 1 out of 60 diaries which were written by 6 different people.Our proposed method achieved equivalent or better accuracy than the case when any a strong classifier applied to individual feature dataset. Furthermore, the accuracy in identifying the authors of student essays increased by roughly two percentage points.
著者
宮原 英夫 後藤 寛司 清水 和彦 池田 憲昭
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.40, no.2, pp.89-95, 2013 (Released:2014-04-29)
参考文献数
8
被引用文献数
1

The reliability of the reference value of a clinical test is lowered if the sample size of the study data was not sufficient. The purpose of this study was to indicate the reliability of the reference value by displaying not only the point estimate, but also the interval estimate. The rest electrocardiograms of 1276 cases of healthy Japanese men were used for the present study. To set the upper limit of the QT reference value, we used the bootstrap method. As we supposed beforehand,the range of confidence interval widened in both extremes of RR where the sufficient number of study cases could not be collected. As we showed in this study, the upper limit of reference value (the parameter in the upper tail of distribution) could be comparatively easily estimated with the confidence interval by using the bootstrap method.
著者
広田 君義 藤沢 等
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.1, no.1, pp.73-82, 1974-03-31 (Released:2010-06-28)
参考文献数
25

This paper would point out some problems of the models of Impression formation under the traditional point of view. One of the problems may be stemed from the one-dimensional point of view to the scale. The model, therefore, would be constructed from the multi-dimensional point of view. The other may be in the weight factor, so, in this paper, it would define that the weight is the degree of relevance with respect to the meaning factor of the stimulus word. After these considerations, it would represent a new progressive redundancy model, and that would be firmed by experiment and computer simulation. The feature of this model lies in that it reduces the impression to the common meaning factors and unique meaning factors based on factor analytic method.
著者
坂巻 英一
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.33, no.1, pp.69-85, 2006 (Released:2006-04-13)
参考文献数
13

Under the current financial and economic situation, risk control of financial institutes is becoming one of the most significant factors to stabilize the economic condition. One of the most important methods for risk controlling is the evaluation of rating for each company, and now a generalized linear regression model such as the ordered logit model has been widely used in the preceding studies of the rating forecasting model.     In statistical modeling, the multi-nominal logit model as well as many other models have been developed from the multi-nominal logit model and are expected to decrease the I.I.A. (Independence from Irrelevant Alternatives) assumption. However, these models have not usually been used in the study of rating forecasting model so far.     In this study, we will construct a rating forecasting model based on the normal ordered logit model, multi-nominal logit model and nested logit model, and compare the model performance among these models. Finally, we will confirm the validity of these models by applying them to actual publicly disclosed rating data.
著者
豊田 秀樹 福中 公輔 川端 一光 片平 秀貴
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.35, no.1, pp.91-101, 2008 (Released:2009-04-07)
参考文献数
13
被引用文献数
1

In this study, a secondary factor analysis of multiple populations with a structured mean was applied to the independent, and mean values were decomposed into common and unique components. In this manner, a method for discovering the most effective model was proposed. In order to ensure the practical effectiveness of this method, the data of Brand Japan from 2004 to 2006 was analyzed. This data was composed of 1,000 brands and 15 variables. As a result, some models fitted to the data well in all variations of models, and the best model could be decided by interpreting meanings. This model was applied to the brand data, and factor scores were calculated for every construct. Characteristics of every brand were discovered by observing its movement.
著者
鈴木 あい 讃井 知 春田 悠佳 島田 貴仁
出版者
日本行動計量学会
雑誌
行動計量学 (ISSN:03855481)
巻号頁・発行日
vol.50, no.1, pp.33-43, 2023 (Released:2023-11-22)
参考文献数
47

Public confidence in the police has become an important issue in many countries because high levels of trust and confidence can allow the public to believe the police organisation is accountable and legitimate. Much empirical research on public attitudes towards policing is available in Western countries, and it has been revealed that community policing can affect the levels of trust and confidence in the police both positively and negatively. Using data from an online survey, this article seeks to address the impact of community policing on public trust and confidence in the Japanese police. The results of a series of hierarchical multiple regression models demonstrated that being female, participating in crime prevention and self-defence classes are associated with high levels of trust in the police, while being liberal and experiencing police-initiated contact are associated with low levels of trust in the police. The implications of the findings for theory, research, and policing policy and practice are discussed.