• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.10a
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• pp.339-342
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• 2004

질적인 속성을 양적인 계열로 전환하여 측정할 수 있는 도구를 개발하는 과정에서 서스톤, 리커트, 어의분별 및 커트만 척도 등을 많이 활용한다. 이 측도들 중 우리는 리커트 척도에 대해 알아보고, 응답이 애매한 리커트 척도의 자료를 퍼지화하는 방법을 제안하고 그 자료에 대한 분석 방법을 연구하려고 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.166-169
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• 2005

질적인 속성을 양적인 계열로 전환하여 측정하는 방법으로서 설문의 최소 문항으로서 최대의 효과를 나타내기 위하여 한 항목을 k번 측정하여 평균과 $95\%$ 신뢰구간을 퍼지수로 한 데이터들을 리커트 척도로 활용하여 내분비방법에 의하여 검정을 하였다.

• Journal of The Korean Association For Science Education
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• v.34 no.4
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• pp.385-391
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• 2014

We use a scale mainly for quantification when we study the psychological characteristics that we cannot observe. The utilization of a scale is frequent in scientific educational studies. The convenience offered by Likert scale, which is among the most frequently used, enable us to grasp characteristic attitude or recognition in students, and evaluate them against an affective domain. But a lot of errors occur, and has been noted as well in the case of utilizing Likert scale in the process. A central tendency in the utilization of Likert scale appears in this study, and the trend analyzes according to study objects and study contents, but we intend to find a way to utilize Likert scale. The results of study made on our countryside students show that the answers tend to get concentrated and a central tendency appears. Our countryside students were aware of the eyes surroundings them, have respect for elders through social experiences, and have had troubles with differentiated expression or personality in the group and cultural environments. According to the object of study, the central tendency appears more among older students than younger students, more among general students than gifted students. In the contents of study, the central tendency has been given more appearance in scope and their exposure has relatively been in large domain. Therefore when utilizing Likert scale in scientific education study, an error of central tendency appears as if they are results of the study. So, when applying the Likert scale to scientific study, we need to consider sociocultural environment, characteristics of an object and contexts of study. This enables avoiding dependence on numerical value of the utilization results, and interpret them correctly.

• Proceedings of the Korean Association for Survey Research Conference
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• 2007.06a
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• pp.139-149
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• 2007

사회조사를 위한 표본설계를 할 때 표본의 크기를 얼마로 할 것인지를 결정하는 문제는 조사연구자에게 고민거리가 된다. 사회조사 중에서 4점 또는 5점 척도로 된 여러 개의 개별 문항들로 구성된 설문지를 사용하는 경우가 많다. 이런 경우 개개의 문항 자체를 직접적으로 하나의 변수로 사용하지 않고 여러 개 문항들을 결합하여 새로운 척도를 만들어 사용하는 것이 일반적이다. 본 연구의 목적은 리커트 척도가 관심변수인 조사연구에서 표본크기를 결정하는 방법을 제공하는 것이다. 리커트 척도를 만들고자 할 때 4점 혹은 5점 척도로 구성된 여러 문항변수들은 일반적으로 서로 양의 상관관계를 가지게 된다. 본 연구에서는 개별 문항변수들은 각각 동일한 분포를 가지며, 각각의 변수들은 서로 동일한 크기의 상관관계를 갖는다는 가정을 한다. 주어진 가정 하에서 새로운 척도의 표본분포를 유도한 후 이를 이용하여 다양한 상황에서의 표본의 크기를 계산한 결과를 표로 제시하게 되는데 표본이론을 잘 모르는 조사연구자들은 이 표를 이용하여 원하는 표본크기를 결정 할 수 있을 것이다.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.5
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• pp.533-537
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• 2005

A Likert scale is an often used questionnaire format. It requests respondents to specify their level of agreement to each of a list of statements. A typical question using a five-point Likert scale might make a statement. The results shows vague values. We have five-point fuzzy membership function by fuzzy valued three-point for the question and fuzzy hypothesis test the membership function by 95% confidence interval.

• Journal of Families and Better Life
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• v.21 no.1
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• pp.13-24
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• 2003

The purpose of this article Is to review the problems in using Hazan & Shaver,s adult attachment inventory as spousal attachment inventory. In summary, Hazan & Shaver's forced-choice inventory is required to caution in using for spouse attachment inventory because of the disproportionally higher secure-attachment type ratio(72% - 89%). It was previous reseaches that used multi-item Likert inventory instead of Hazan & shaver's forced-choice inventory for result analysis because of disproportionally higher secure-attachment type ratio. Although Hazan & shaver's forced-choice inventory was mostly used for young unmarried adults, Using Hazan & shaver's forced-choice inventory as spouse attachment inventory for married adults seem to be inappropriately. Hazan & Shaver's multi-item Likert inventory has the problem of poor reliability in insecure-avoidence factor especially. Hazan & Shaver's one item Likert inventory has the problem of social desirability.

• Journal of the Korean Society for information Management
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• v.28 no.3
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• pp.335-353
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• 2011

This study examines how and which direction respondents who participated in 5-point Likert scale surveys change their initial responses when they are given an identical second survey after certain treatments. The research employs three identical questionnaires (first, second and third surveys) to analyze survey results based on group differences, kinds of treatment, survey purposes, and response change direction and the degree. This paper concludes that, first, it is significant that specialist groups do not change their initial responses compared to a general librarian group. Second, there are no differences by survey purpose; however, participants tend to change their initial responses by others' opinions rather than by previous use experiences. Third, participants who initially answered positively tend not to change their responses, and most participants who answered negatively change their initial responses in a positive direction. Fourth, when there are changes, participants change their initial responses by less than two points, and most of them change by one point. Finally, the hypothesis that middle responses change most and that participants who respond at both ends do not change their opinion was rejected by the finding that participants who answered on the negative end tend to change their initial responses in a positive direction.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.373-380
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• 2016

Even though Likert type data is ordinal scale, many researchers who regard Likert type data as interval scale adapt as parametric methods. In this research, simulations have been used to find out a proper analysis of Likert type data. The locations and response distributions of five point Likert type data samples having diverse distribution have been evaluated. In estimating samples' locations, we considered parametric method and non-parametric method, which are t-test and Mann-Whitney test respectively. In addition, to test response distribution, we employed Chi-squared test and Kolmogorov-Smirnov test. In this study, we assessed the performance of the four aforementioned methods by comparing Type I error ratio and statistical power.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.553-564
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• 2014

In this paper, we propose the system for automatic generation of issue analysis report based on social big data mining, with the purpose of resolving three problems of the previous technologies in a social media analysis and analytic report generation. Three problems are the isolation of analysis, the subjectivity of experts and the closure of information attributable to a high price. The system is comprised of the natural language query analysis, the issue analysis, the social big data analysis, the social big data correlation analysis and the automatic report generation. For the evaluation of report usefulness, we used a Likert scale and made two experts of big data analysis evaluate. The result shows that the quality of report is comparatively useful and reliable. Because of a low price of the report generation, the correlation analysis of social big data and the objectivity of social big data analysis, the proposed system will lead us to the popularization of social big data analysis.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.6
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• pp.775-783
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• 2019

The big data industry market continues to grow and is expected to grow further. In this paper, based on the five-point Likert scale of college students in the process of developing big data young people, the satisfaction of instructors in big data training and improvement of job (education) ability based on AI convergence The survey was conducted on the expectations of the participants and their intention to participate in the training process for the young talents. Male students were more satisfied than students. In terms of students, students who are less than 6th semester have the highest satisfaction, but students who are less than 7th and 8th semesters are less satisfied. By department, the satisfaction level of science and statistics students was the highest, while the satisfaction level of other students was low. According to the average of college credits, the satisfaction of students under 3.5~4.0 was the highest, and the satisfaction of students below 3.0 was the lowest.