• The korean journal of orthodontics
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• v.49 no.3
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• pp.170-180
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• 2019

Objective: The purpose of this study was to investigate the relationship between the facial skeletal patterns and the shape of the mandibular symphysis in adults with malocclusion by using a structural equation model (SEM). Methods: Ninety adults who had malocclusion and had records of facial skeletal measurements performed using cone-beam computed tomography were selected for this study. The skeletal measurements were classified into three groups (vertical, anteroposterior, and transverse). Cross-sectional images of the mandibular symphysis were analyzed using generalized Procrustes and principal component (PC) analyses. A SEM was constructed after the factors were extracted via factor analysis. Results: Two factors were extracted from the transverse, vertical, and anteroposterior skeletal measurements. Latent variables were extracted for each factor. PC1, PC2, and PC3 were selected to analyze the variations of the mandibular symphyseal shape. The SEM was constructed using the skeletal variables, PCs, and latent variables. The SEM showed that the vertical latent variable exerted the most influence on the mandibular symphyseal shape. Conclusions: The relationship between the skeletal pattern and the mandibular symphysis was analyzed using a SEM, which showed that the vertical facial skeletal pattern had the highest effect on the shape of the mandibular symphysis.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3049-3067
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• 2018

Although there is a growing body of research on organizational commitment profiles based on a person-centered approach, it is not widely applied to the commitment research conducted by Korean organizational scholars yet. Therefore, in this paper, we introduced the concept and analytical methods, such as cluster analysis and latent profile analysis (LPA), of the person-centered approach. In addition, we also performed both cluster analysis and LPA to identify types of organizational commitment profiles of Korean employees based on the combination of affective, continuance and normative commitment on the sample from a range of different fields in South Korea (n = 349). Both analyses extracted two comparable sets of 6 commitment profiles. These six profiles were then contrasted with employee turnover intention. Finally, implications for commitment theory, practices and future research issues were discussed.

• Korean Journal of School Psychology
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• v.18 no.3
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• pp.291-316
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• 2021

This study was conducted to identify how special education teachers perceive their school's organizational climate through latent profile analysis performed using Mplus, and determine whether there was a difference in the average teacher burnout rate between perception groups using three-step approaches. The participants were 312 special education teachers. The perception groups were identified as 'closed', 'laissez-faire', 'average', 'controlled', and 'autonomous.' The groups had different teacher burnout rates. The closed group had the highest rate, while the autonomous group had the lowest. This paper discusses the implications of these results for special education teacher burnout and school organizational climate, and suggests ideas for future studies.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.45-68
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• 2023

The purpose of this study is to longitudinally analyze impact factors on library use. One of library use indicators, the number of circulated books was statistically analyzed with latent growth model and growth mixture model. Library data from 2014 to 2019 were collected from the National Library Statistics System, and 846 public libraries were analyzed. As results, the number of circulated books were decreased, but it was tempered. Next, with controlling the factor affecting the dependent variable, the size of collection and the number of participants in reading programs provided by public libraries were statistically significant. Lastly, 5 classes were identified by applying the growth mixture model, and the number of librarians was significantly associated with trajectory class membership.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.189-197
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• 2019

The purpose of this study was to investigate about the effects of parental rearing behavior on self-esteem and gender role stereotype during adolescence and to reveal the mediating effect of self-esteem on adolescents' gender role strerotype. Also investigated the relationship among these variables and condition variables. For this purpose, used the Second Grade longitudianl Panel data of Middle School from the Korea Youth Panel Survay(KYPS). And the latent growth model was analyzed 3,449 men and women adolescents' cases of the first, the fourth and the sixth wave of the Korea Youth Panel Survey(KYPS) administered by Korea Institute for Youth development. And the structural equation model was used to investigate whether self-esteem mediates parental rearing behavior and male and female gender role Strerotype. The results of this study, the direct effect between variable factors showed that the more positive the parenting behavior of the second grader of middle school is, the more positive the self-esteem of male adolescents and the initial value of stereotypes of male gender role. It also affects the self-esteem of female adolescents and stereotypes of female gender roles but not statistically significant. The male gender role stereotypes were decreased in influence by the rate of change of parental rearing behaviors, and the initial value and the rate of change of self-esteem were statistically influenced to the male gender role stereotypes and the higher the self-esteem, the higher the self-esteem. However, there was no significant effect on stereotypes of female gender roles. As a result of analyzing the mediating effect of self-esteem, partially mediated between the initial value of parental rearing behavior and initial stereotype of male gender role, but there was no longitudinal mediation effect. There was no mediating effect of self-esteem between parental rearing behaviors and stereotypes of female gender roles and there was no longitudinal mediation effect. The effect of condition variable gender was found that female adolescents are more affected by paretal rearing behavior than male adolescents and also affected by the growth process. The monthly income of households influenced the initial value of parental rearing behaviors and showed a difference in parental rearing behavior according to household income. And the higher the mother 's educational level, the more the self-esteem of male adolescents was affected.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.65-78
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• 2022

This study aims to 1) verify the validity of the Science self-efficacy scale and 2) perform a latent mean analysis of the background variables about a pre-service teacher. The study uses pre-tests to analyze data from 187 pre-service teachers, which uses Tark's Science self-efficacy scale (2011). To identify the factor structure, exploratory factor analysis was performed. Based on the results of the pilot test, the expert group council revised the scale for the pre-service teachers to respond to the 3-factor structure. In the main test, 354 data were analyzed through a modified Science self-efficacy scale, and exploratory and confirmatory factor analyses were performed. The results of the study are as follows: First, in the pilot test, the pre-service teacher responded to a 3-factor instrument, but the validity of two items was examined further below. Second, the pre-service teachers responded to a 3-factor instrument on 29 items for the modified Science self-efficacy scale. The total reliability of the instrument was .886 and the reliability of each factor was analyzed as .882-.886. Finally, the latent mean analysis by gender showed that females have a higher self-regulation efficacy factor and males have a higher self-confidence factor (Cohen's d > .3). Furthermore, there is a significant difference in task difficulty preference and self-regulatory efficacy factor (Cohen's d > .8) between the college preparatory and science subject preference. This study provides important insights into and contributions to the accurate scientific self-efficacy diagnosis of pre-service teachers, as well as proposes a curriculum to improve the scientific self-efficacy of prospective teachers.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.64-70
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• 2013

Estimation approaches for casual relation model with high-order factors have strict restrictions or limits. In the case of ML (Maximum Likelihood), a strong assumption which data must show a normal distribution is required and factors of exponentiation is impossible due to the uncertainty of factors. To overcome this limitation many PLS (Partial Least Squares) approaches are introduced to estimate the structural equation model including high-order factors. However, it is possible to yield biased estimates if there are some differences in the number of measurement variables connected to each latent variable. In addition, any approach does not exist to deal with general cases not having any measurement variable of high-order factors. This study compare several approaches including the repeated measures approach which are used to estimate the casual relation model including high-order factors by using PLS (Partial Least Squares), and suggest the best estimation approach. In other words, the study proposes the best approach through the research on the existing studies related to the casual relation model including high-order factors by using PLS and approach comparison using a virtual model.

• IE interfaces
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• v.21 no.1
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• pp.43-50
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• 2008

Understanding consumers' latent desires for product form has now become a critical issue in product design. Accordingly, product development processes is rapidly changing from product-oriented development to user-centered development. Driver visibility is considered as an important element of driving posture packaging in automobile interior design. This study presents a systematic process for driver visibility analysis approached from affective engineering method that provides design variable selection and screening with respect to the image/impression element of the human visibility. Also, the analysis of front visibility, often called the feeling of "openness", in motor vehicle interior design, is selected and practiced a case study using the systematic process proposed in this study. Twenty six participants evaluated the feeling of openness for thirty motor vehicles following the perceived scale of affective design factors. The results showed that variables such as the height of head lining, the height of cluster housing, the gradient of windshield and the volume of A-pillar were the critical design variables which affect the feeling of openness in a motor vehicle.

• Journal of Advanced Navigation Technology
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• v.12 no.5
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• pp.502-508
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• 2008

With the increased use of the internet and the tremendous amount of data it transfers, it is more necessary to summarize documents. We propose a new method using the Non-negative Semantic Variable Matrix (NSVM) and the generic important of semantic features obtained by Non-negative Matrix Factorization (NMF) to extract the sentences for automatic generic summarization. The proposed method use non-negative constraints which is more similar to the human's cognition process. As a result, the proposed method selects more meaningful sentences for summarization than the unsupervised method used the Latent Semantic Analysis (LSA) or clustering methods. The experimental results show that the proposed method archives better performance than other methods.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.2
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• pp.313-334
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• 2015

The purpose of this study was to investigate factors affecting the sharing of research data of science and technology researchers. Data was collected through a survey of 198 science and technology researchers. Independent variables in this study included perception, openness in communication, collaboration, and trust. Latent variable was selected as reward system and dependent variable was research data sharing. The results of analysis of structural equation modeling showed that perception were found to have a positive impact on reward system for data sharing for research. Other factors such as trust, openness in communication and collaboration were not statistically significant in their affect on reward system for data sharing. Finally, reward system was identified as the influential factor on research data sharing.