• Title/Summary/Keyword: Latent variables

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Students' Satisfaction of School Lunch According to the Dietary Habit and Educational Experience of Nutrition and Food (영양 및 식품관련 교육 및 학생의 식습관에 따른 학교급식 만족도 조사)

  • Park, Sung Hee;Choe, Young Chan
    • Human Ecology Research
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    • v.53 no.4
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    • pp.425-432
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    • 2015
  • This paper verifies the effect of the personal dietary habits on students' school lunch satisfaction and the effect of food related activities such as rural communities' experience and safe and nutrition education. Personal dietary habits (5-Likert scale), satisfaction of school lunch (5-Likert scale), and rural community experiences, are investigated. A survey from 10 middle schools in Gyeonggi-do was undertaken from September to October, 2014. Multi regression analysis and t -test are applied. This study applied factor analysis and derived three latent variables in order to know the latent variables of eating habits. Students with rural communities' experience are satisfied with school lunches more than those who have not experienced it. Further related education (such as eating habits, safe and organic food) have a positive effect on students' school lunch satisfaction. Appreciation for school lunch (p<.001) and eating breakfast (p<.01) are significant among the independent variables that included three latent variables, the taste of school lunch (p<.001), eating well all kinds of food (p <.001). The results shows that students with a balanced diet are more satisfied with school lunches. Personal eating habits and understanding food and agriculture are important factors to improve students' satisfaction about school lunch on top of the quality of food and facilities. Students with rural community experience show improved satisfaction and this experience can be a good way for students to understand food. Food related education (including farming) are recommended to raise student school lunch satisfaction.

Identifying Latent Classes in Early Adolescents' Overt Aggression and Testing Determinants of the Classes Using Semi-parametric Group-based Approach (준모수적 집단 중심 방법을 적용한 청소년기 초기의 공격성 변화에 따른 잠재계층 분류와 관련요인 검증)

  • No, Un-Kyung;Hong, Se-Hee
    • Survey Research
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    • v.10 no.3
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    • pp.37-58
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    • 2009
  • The purpose of this study were to identify the subgroups (i.e., latent classes) depending on early adolescents' change patterns in aggression and to test the effects of individual-background variables on determining the latent classes. For these goals, we applied Nagin's(1999) semi-parametric group-based approach to the Korean Youth Panel Study. Results showed that four latent classes were identified, which could be defined based on the patterns as low-level group, increasing group, intermediate-level group, and high-level group. By adding gender, self-control, parent attachment, teacher attachment, and the number of delinquent friends to the unconditional latent class model, we tested the effects of the variables on the latent classes. Multinomial logit analysis showed that gender, self-control, teacher attachment, and the number of delinquent friends were significant determinants of the latent classes. Findings from this study suggest the need to consider heterogeneity in the study of early adolescents' aggression to facilitate more refined targeting of intervention program.

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Soft Sensor Design Using Image Analysis and its Industrial Applications Part 1. Estimation and Monitoring of Product Appearance (화상분석을 이용한 소프트 센서의 설계와 산업응용사례 1. 외관 품질의 수치적 추정과 모니터링)

  • Liu, J. Jay
    • Korean Chemical Engineering Research
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    • v.48 no.4
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    • pp.475-482
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    • 2010
  • In this work, soft sensor based on image anlaysis is proposed for quantitatively estimating the visual appearance of manufactured products and is applied to quality monitoring. The methodology consists of three steps; (1) textural feature extraction from product images using wavelet transform, (2) numerical estimation of the product appearance through projection of the textural features on subspace, and (3) use of latent variables of textural features (i.e., numerical estimates of product appearance). The focus of this approach is on the consistent and quantitative estimation of continuous variations in visual appearance rather than on classification into discrete classes. This approach is illustrated through the application to the estimation and monitoring of the appearance of engineered stone countertops.

The impact of outdoor environment on residential noise level satisfaction: GIS-based Analysis

  • Choi, Ga-Yoon;Jung, Hye-Jin;Lee, Jae Seung
    • Journal of KIBIM
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    • v.11 no.1
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    • pp.39-46
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    • 2021
  • Urban residents in crowded complexes are making increasing civil complaints about noise and demanding pleasant and comfortable residential environments. Because noise is one of the most important factors related to urban residents' dissatisfaction with their living environments, the present study investigates the direct and indirect effects of noise-related outdoor environmental factors on residential level satisfaction, using noise level data from 29 noise-measuring stations in Seoul. From 62 multi-family apartment complexes near these stations, the authors collected GIS-based environmental attribute data, as well as survey data including the residents' personal characteristics and indicators designed to measure latent psychological characteristics: noise sensitivity and residential noise level satisfaction. This study then utilized structural equation models to analyze the direct variables influencing the latent variables of noise sensitivity and residential noise level satisfaction, as well as the complex relationships among all variables. The result showed that residents who are exposed to less noise, possibly due to living in apartments facing relatively quiet roads, protected by soundproof walls, or surrounded by densely planted trees, tend to be less noise sensitive, which makes them more satisfied with the ambient noise level. Therefore, critical outdoor environmental variables can be used to reduce noise sensitivity and improve residential noise level satisfaction.

The Impact of Content Quality and YouTuber Attributes on User Satisfaction and Behavioral Intentions in Food Mukbang Channels (유튜브 먹방 채널의 콘텐츠 품질 및 유튜브 속성이 이용만족도와 행동의도에 미치는 영향에 관한연구)

  • Young-Ju Bae
    • Journal of the Korea Safety Management & Science
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    • v.26 no.2
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    • pp.93-105
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    • 2024
  • In this study, based on previous research on personal broadcasting, we indirectly measured content quality, YouTuber attributes, user satisfaction, and behavioral intention, which are latent variables that cannot be directly measured, as measurement variables, and then measured theoretically between the latent variables. In order to analyze the causal relationship, we used a structural equation model to determine to what extent the content quality of the YouTube mukbang channel and the YouTuber's attributes influence behavioral intentions such as purchase, recommendation, and continued use according to viewers' satisfaction with use. We intend to analyze and verify the relationship between related variables. The research results are as follows. First, the value, relevance, timeliness, completeness, and data quantity of content quality were found to have no significant impact on user satisfaction. Second, the trustworthiness, expertise, attractiveness, and intimacy of YouTuber attributes were found to have a significant impact on user satisfaction, but the similarity of YouTuber attributes did not have a significant impact on usage. Third, user satisfaction was found to have a significant impact on behavioral intentions and purchase intentions. However, user satisfaction was not found to have a direct significant impact on recommendation intentions or continued usage intentions.

Combining Ridge Regression and Latent Variable Regression

  • Kim, Jong-Duk
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.51-61
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    • 2007
  • Ridge regression (RR), principal component regression (PCR) and partial least squares regression (PLS) are among popular regression methods for collinear data. While RR adds a small quantity called ridge constant to the diagonal of X'X to stabilize the matrix inversion and regression coefficients, PCR and PLS use latent variables derived from original variables to circumvent the collinearity problem. One problem of PCR and PLS is that they are very sensitive to overfitting. A new regression method is presented by combining RR and PCR and PLS, respectively, in a unified manner. It is intended to provide better predictive ability and improved stability for regression models. A real-world data from NIR spectroscopy is used to investigate the performance of the newly developed regression method.

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A Study on Causal Relations between Website User Satisfaction and Performance Measures (웹사이트의 사용자 만족과 성과변수의 인과관계에 관한 연구-포털사이트를 중심으로-)

  • Choe, Jae-Ho;Baek, In-Gi;Jeon, Yeong-Ho;Sin, Jeong-Tae
    • Journal of the Ergonomics Society of Korea
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    • v.20 no.3
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    • pp.47-60
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    • 2001
  • The purpose of this paper is propose an analytical method for evaluating user satisfaction of Internet website and identifying casual relationships between user satisfaction of Internet website and performance measures as like revisit intention and complaints using the structural equation model (SEM). This paper is intended to identify critical evaluation factors of user satisfaction for Internet website to determine criteria for evaluating the website. and use the criteria to develop a SEM model for quantitatively evaluation of each factors effects of user preference. The SEM model used 5 latent variables for the evaluation factors of website user satisfaction and 2 latent variables for performance evaluation. 2 portal sites were evaluated to construct the SEM model. and 74 subjects participated the website evaluation using the walk-through and face-to face survey method. Analysis results showed that the SEM model was statistically significant for all the 2 websites evaluated.

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A Study on the Application of Latent Growth Model for Measuring the Outcomes of Library (도서관 성과 측정을 위한 잠재성장모형 적용에 관한 연구)

  • Park, Sung-jae;Han, Sang-woo;Cho, Sae-hong
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.4
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    • pp.179-194
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    • 2018
  • The purpose of this study is to discuss the application of the Latent Growth Model to measure the outcomes of public library. For outcome measurements, library circulation data were collected to identify longitudinal changes of library users' reading habit. The latent growth model was applied to statistically test the changes over time. The circulation data of 95,962 users registered in some public libraries in Seoul, ranged between 2010 and 2015, were analyzed using unconditional model, conditional model, and growth mixture model which all are called the latent growth model. The results show that the intercept of the model is 4.19 and the slop is 0.24 in the linear growth model. The gender difference in two latent variables including intercept and slop was a shade difference. The result from the growth mixture model analysis, additionally indicates that the number of books checked out by children under age 10 is rapidly increased. The application of the latent growth model in library fields is expected to widely spread out for the longitudinal data analysis.

Classifying Latent Profiles in Job Satisfaction of Youth Entrepreneurs (청년창업가의 일자리만족도에 대한 잠재프로파일분석)

  • Kim, Youngseo;Hong, Sehee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.1
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    • pp.37-53
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    • 2021
  • The purpose of this study is to analyze the types of latent profiles depending on the job satisfaction of youth entrepreneurs in South Korea and examine the influence of related variables. Latent profile analysis (LPA) was conducted using data from the 12th year of the Youth Panel Study. Results of the study revealed that there were five latent profiles based on job satisfaction among young entrepreneurs: lowest job satisfaction, mid-low job satisfaction, middle job satisfaction, mid-high job satisfaction, and highest job satisfaction. By applying multinomial logistic analysis, the influencing factors for each latent profiles have been derived. Gender, marital status, subjective health, self-esteem, entrepreneurial motivation, difficulty in start-up, person-job fit, intrinsic or extrinsic job values, business scale, income, work hour, education or training, and labor insurance were significant predictors of youth entrepreneurs' job satisfaction. Based on these results, the article discusses practical implications that can enhance the job satisfaction of young entrepreneurs.

Awareness, Performance, and Preventive Behavior of Latent Tuberculosis Infection management among Nursing students (간호대학생의 잠복결핵 감염관리에 대한 인식도와 수행도, 예방행위)

  • Mo, Moon-hee;Jang, Hee-jung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.471-478
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    • 2021
  • The purpose of this study were to investigate knowledge, awareness, performance, and preventive behavior of latent tuberculosis infection management, and to identify influencing factors on preventive behavior of latent tuberculosis infection management of nursing students. The subjects of this study were completed by 191 nursing students from 2 colleges in D City. Data were collected from August 1 to November 30, 2020. Data were analyzed using the t-test, the ANOVA, the Pearson correlation coefficient, and stepwise multiple regression analysis by SPSS ver. 21.0. There were significant positive correlations between preventive behavior of latent tuberculosis infection management and performance(r=.21, p=.003), awareness and performance(r=.88, p<.001). The factors influencing grade and education experience about latent tuberculosis infection management of the study subjects were grade(β=.29, p<.001), final time of education experience about tuberculosis(β=.19, p=.004), and the explanatory power of these variables was 11.9%. The development of preventive behavior of latent tuberculosis infection management education program that focuses grade and final time of education experience about tuberculosis is needed.