• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.414-423
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• 2020

The purpose of This study is to investigate the effects of the acceptance of food culture through YouTube, one of the platforms that is currently being used, on consumers' perceptions, and to establish marketing effects that can be obtained from the acceptance of food culture through YouTube platform, Q-methodology was selected and exploratory research was conducted to analyze consumers' subjective perspectives. For this purpose, analysis was conducted by classifying statement cards by respondents, and Q-sorts were selected and composed by the Q-group, and after the statement was prepared through this, P-samples were selected and the Q-sorts obtained through classification work were analyzed through the Q factor analysis using the PC QUANL program. The analysis results were classified into four types: Type 1 [(N=6): Preferred Food and Responsibility Satisfaction Type], Type 2 [(N=3): Non-emotional Preferred Food Type, Type 3 [(N=14): Information Acquisition Preferred Food Type], Type 4 [(N=2): Undetermined Type], etc. Each subjective opinion from these analyses will be helpful for various studies in the future, and it will be used as a reference for YouTube-related marketing and consumer restaurant culture acceptance in the future.

• Child Health Nursing Research
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• v.19 no.3
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• pp.216-227
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• 2013

Purpose: Despite the well-known public health benefits of vaccination, increasing public concern about the safety of childhood vaccinations has led some parents to refuse or hesitate having their children immunized. The purpose of this study was to identify the subjectivity of parents toward refusal of childhood vaccination. Methods: Q-methodology, in which subjective viewpoints are explored and analyzed using a combination of quantitative and qualitative techniques, was used. Thirty-five participants were asked to rank 42 statements on diverse issues of childhood vaccination according to a continuous 9-point scale ranging from -4 for strongly disagree to +4 for strongly agree. Collected data was analyzed using the PC-QUANAL program. Results: The results revealed three discrete groups of parents in the refusal of children's immunization: type I, distrust; type II, concern about side effects, and type III, belief that vaccinations are unnecessary. Conclusion: Special nurse counselors who can provide correct information about vaccination based on the three types should be part of the government policy. Customized education programs to shift viewpoints should be also redeveloped according to the results in this study.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.115-126
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• 2013

The purpose of this study is to understand the utility of election campaign advertising by applying Q methodology that draw upon schematic model in subjectivity study. A survey was carried out among college students to classify the 16 selected Q-statements into a normal distribution using a 7 point scale. The collected data was analyzed using QUANL program, and principal component analysis using varimax rotation was used to identify the types of perceived utility of election campaign advertising. Type I can be categorized by a strong concern for the advertising technique improvement, Type II can be categorized by advocating for interest induction and Type III can be categorized by the truth inducement. The use of Q methodology provides insights into audience perceptions on the utility of election campaign advertising that would not be available through traditional methodologies and offers a foundation for audience involvement to address and overcome concerns about the utility of advertising for election campaign.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.149-156
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• 2021

This study started from the question of what we think about big data as the term "big data" was used and discussed in our daily lives in the era of the 4th industrial revolution. For the analysis, the final 30 Q samples were selected based on prior research related to big data, and 23 respondents were secured for Q analysis, and the following results were derived. First, the explanatory power of each type was 34.30% for , 8.03% for , 7.21% for , and 6.24% for , showing a total of 55.69%. Second, the Q sample emphasized by respondents by each type shows various occupational distributions in , and for 'big data', it is 'digital' and future'. So they were named 「Digital Type」. In , the distribution of 'social workers' was high, and for 'big data', 'future', 'collaboration', 'welfare', 'local residents', and 'defense' were emphasized. It was named 「welfare type」. In , the job distribution of respondents appeared evenly, and it was named as 「Convergence Type」. Because it emphasized statements such as 'convergence', 'digital', 'future', and 'sports'. is composed of association officials, sports instructors, and graduate students, and was named 「Artificial Intelligence Type」, because it emphasizes 'artificial intelligence', 'new paradigm', 'network', and 'sports'. In the age of knowledge industrialization and knowledge informatization that followed industrialization and informatization, how to process and utilize the numerous data accumulated over the years is an important task. Right now, in sports, more than anything else, it is necessary to continuously seek ways to utilize and activate accumulated big data.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.488-498
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• 2021

This study applied Flipped Learning teaching and learning method to Basics Cooking Practice Subject using YouTube. The purpose of this study is to investigate whether the curriculum is properly progressing by grasping the effects of before and after learning and analyzing learners' subjectivity through the learning process. The investigation period was conducted from August 01, 2020 to September 10, 2020. According to the research design of Q Methodology, it was divided into five stages: Q sample selection, P sample selection, Q sorting, coding and recruiting, conclusion and discussion. As a result of the analysis, the first type (N=5): Prior Learning effect, the second type (N=7): Simulation practice effect, and the third type (N=3): self-efficacy effect. As a result, by applying the flipped learning teaching method of the Basics Cooking Practice Subject using YouTube, positive effects such as inducing interest in the class and increasing confidence were found in active learners, but some learners lacked understanding of the system of the class operation method. However, the lack of number of training sessions compared to other subjects is considered to be a solution to be solved later.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.79-88
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• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.103-112
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• 2014

The purpose of this study is to explore and classify the types of the attitude on a good death of nurses in long-term care hospitals. Q-methodology, which is effective in scientifically measuring individual subjectivity, was used. 151 Q-population were selected through the processes of review of research articles, newspaper articles and interviews. 34 Q-sample were selected from the 151 Q-population and 27 nurses in long-term care hospitals were invited as the P sample. The result of the Q-sort was analyzed using PC QUANL Program. The types of attitude on a good death of nurses in long-term care hospitals was categorized into three. 1) Death in supportive environment 2) a comfortable death in real life 3) Dignity guaranteed death By identifying 3 attitude patterns toward a good death of long-term hospital nurses, this study provides an opportunity for their reflection and recognition toward a good death based on this result and suggests to think about ways to improve the quality of nursing in the current increasing long-term hospitals.

• Korean Management Science Review
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• v.27 no.1
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• pp.91-105
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• 2010

We proposed and stratified a selection standard model on Open Source Functional Board which could be found in Web. So we could grasp the weight about Performance Evaluation from the viewpoints of planners, developers, and web disigner professional of views. We suggested applying diverse measurement types in case of item which could chart Evaluation Standards on chosen sample boards. In case of item which couldn't do that, we compared and analyzed it by using selective type of 9 point scaling method on professionalists in every sample board. As a result of weight on upper estimate section of evaluation model chart, the order of importance was convenience(0.334), performance(0.333), function(0.240) and design(0.093) respectively. It indicates that there is more weight on performance and convenience which are hard to be structurally modified than designs and functions that are directly shown to the users. Also, it was evident that opposite results came out when using 9-point scale survey and measurement with objective data such as function and performance. The reason is because the surveyed subject can have his or her own subjectivity and bias unlike objective data. However, objectivity of the administrator is also an important factor thus both two perspectives have to be all considered when selecting the bulletin board.

• Korean Institute of Interior Design Journal
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• no.31
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• pp.56-63
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• 2002

This study intends to prepare a system that can be used, by applying digital technique, in analyzing complexity of architectural forms that have been visualized by the correlation based on the distribution chart made in accordance with profile lines. The profile lines are derived from the edge analysis of the architectural forms, simplified based on the visual theory. For the purpose, this study was conducted in the following ways: First, problems of the existing models for the elevation analysis were examined along with formal analysis based on visual recognition to consider the profile lines derived from the forms. Secondly, in elevation analysis, profile lines were derived by digital method to measure them qualitatively. To verify the objectivity of the measured data value, a survey was conducted based on the adjective cataloging method, and the correlation of the survey result and analyzed data was analyzed to verify the validity of the derived data. Thirdly, supplementation for the problems deducted from experiments and the possibility to use it in designing were suggested. Digital method has many advantages over the conventional analyzing system in deriving precise data value by excluding subjectivity. It also allows various analytical methods in analyzing numerous data repeatedly. Diversified models and methods of analysis considering numerous factors arising in the process of designing remain assignments to research in future.

• Korean Journal of Human Ecology
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• v.22 no.6
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• pp.615-631
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• 2013

In this study, we attempt to explore various possible types of unmarried single women. Main purpose of the work is to find out possible types of unmarried single women in terms of their subjective views on single life based on Q methodology. Q methodology is a research method to study and understand people's "subjectivity" or their points of view. Here, we applied Q methodology to unmarried single women's subjective evaluation of their own lives. Thirty-one Q-questions were prepared through literature review, and were offered to eighteen unmarried single women. As a result, the subjects could be classified into the following five different types: (Type 1) 'I love my work but I hate pressure (for marriage) from others', (Type 2) 'I feel anxiety and stress (on marriage) but I am still waiting for a true love of mine', (Type 3) 'My life is most important and I'd rather enjoy my single life without restraint from others', (Type 4) 'I am weary of continuing my single life, and now I really want to get married and form a family', (Type 5) 'I don't feel comfortable with dating, marriage life etc, I'd rather continue my single life with less stress'.