• Title, Summary, Keyword: 잠재성장모형

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Analysis of latent growth model using repeated measures ANOVA in the data from KYPS (청소년패널자료 분석에서의 반복측정분산분석을 활용한 잠재성장모형)

  • Lee, Hwa-Jung;Kang, Suk-Bok
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.6
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    • pp.1409-1419
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    • 2013
  • We analyzed the data from KYPS using the latent growth model which has been widely studied as an analysis method of longitudinal data. In this study, we applied repeated measures ANOVA to unconditional model in order for faster decision of the unconditional model of the latent growth model. Also, we compared the six-type models, the quadratic model and the model of which repeated measures ANOVA is applied.

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.

A Methodology for Improving fitness of the Latent Growth Modeling using Association Rule Mining (연관규칙을 이용한 잠재성장모형의 개선방법론)

  • Cho, Yeong Bin;Jun, Jae-Hoon;Choi, Byungwoo
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.217-225
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    • 2019
  • The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

The Effect of Multicultural Youth's Biticultural Acceptance on the Change of Achievement Motivation : Focusing Latent Growth Modeling Analysis (다문화청소년의 이중문화 수용성이 성취동기 변화에 미치는 영향 : 잠재성장모형 분석을 중심으로)

  • Lee, Hyoung-Ha;Song, Hyun-Kyung
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.181-182
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    • 2020
  • 본 연구는 다문화청소년 패널데이터 3차년(2013년)부터 7차년(2017년)까지 패널조사 데이터를 활용하여 다문화청소년의 이중문화수용성이 성취동기에 미치는 영향에 있어 시간의 흐름에 따른 변화를 분석하고자 한다. 이를 위해 잠재성장모형을 이용한 이중문화수용성과 성취동기 간의 상관관계 및 인과적 관계를 규명하는 방법을 적용하였다.

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A Data Based Methodology for Estimating the Unconditional Model of the Latent Growth Modeling (잠재성장모형의 무조건적 모델 추정을 위한 데이터 기반 방법론)

  • Cho, Yeong Bin
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.85-93
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    • 2018
  • The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.

The Relationship Analysis of Online Security, Social Network Service, and Smartphone Expenses (보안 우려, 소셜네트워크서비스, 스마트폰 지출과의 관계분석: 잠재성장모형을 중심으로)

  • Noh, Mijin
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.648-659
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    • 2019
  • The social network services have spread rapidly with new issues in terms of the security. The purpose of this study is to longitudinally verify the influence of relationships among online security, social network service, and smartphone expense. The analyses were conducted on panel data of SNS users from 2015 to 2017 based on the SEM methodologies. The results indicated that anxiety of online security had an effect on the SNS usage. In addition, The results showed that anxiety of online security and SNS usage had a significant influence on the smartphone expenses. This study could provide useful guidelines for researchers and company managers, and an opportunity to develop an understanding of social network trends.

Examining Trajectory in Adolescent Mobile Phone Dependency Using Second-Order Latent Growth Modeling Analysis (이차잠재성장모형을 이용한 청소년기 휴대폰 의존의 발달궤적 검증)

  • Choi, jung-ah
    • Proceedings of the Korea Contents Association Conference
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    • pp.287-288
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    • 2015
  • 본 연구에서는 급증하는 청소년기 휴대폰 의존 문제의 심각성에 주목하여 우리나라 청소년들의 휴대폰 의존이 시간의 흐름에 따라 어떠한 변화 양상을 보이는지 실증적인 검증을 실시하고자 하였다. 이를 위하여 한국아동 청소년패널조사(KCYPS) 중학교 1학년 1~4차년도 자료에 대하여 이차잠재성장모형(second-order latent growth modeling)을 이용하여 휴대폰 의존의 발달궤적을 확인하였다. 휴대폰 의존의 발달궤적에 대한 최적의 모형을 찾기 위해 다수의 모형을 구성하여 비교 검증하였으며, 그 결과, 이차함수모형에 대하여 오차 간 공분산을 설정하고, 시간의 흐름에 따른 측정동일성 제약을 가한 후, 오차 간 공분산에 대한 동일화 제약을 가한 모형이 가장 좋은 적합도를 보이는 것으로 확인되었다. 이렇게 도출된 모형에 의하면, 중학교 1학년부터 고등학교 1학년까지 휴대폰 의존 정도는 증가하다가 그 증가율이 둔화되는 이차함수모형의 변화를 보이는 것으로 나타났다. 이러한 결과에 근거하여 청소년기 휴대폰 의존에 대한 예방 및 개입과 관련된 함의를 제시하였다.

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The Effect of Family Socioeconomic Background on Child's Academic Attainment Development Trajectory - Application of Latent Growth Curve Modeling - (가족의 사회경제적 배경이 청소년기 아동의 학업성취도 발달궤적에 미치는 영향 - 잠재성장모형을 적용하여 -)

  • Kim, Kwang Hyuk
    • Korean Journal of Child Studies
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    • v.28 no.5
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    • pp.127-141
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    • 2007
  • The purpose of this research was to analyze the trajectory of child's academic attainment and the effect of family socioeconomic background on the trajectory. Data were part of the Korea Youth Panel Survey 2003-2005(Middle School 2) and were analyzed by Latent Growth Curve Modeling(LGM). The degree of child's academic attainment decreased over 3 years. Socioeconomic status variables that influenced academic trajectory were family poverty, parent's attainments in scholarship, and family structure. Findings from this study suggest that societal support for low socioeconomic status families is needed for improvement of academic attainment of their children.

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The Longitudinal Relationship between Social Capital of North Korean Migrant Youths and School Adjustment: A Latent Growth Modeling Approach (잠재성장모형을 활용한 탈북청소년의 사회자본과 학교적응 간 종단관계 분석)

  • Yeon, Bo-Ra;KIM, Kyungkeun
    • (The)Korea Educational Review
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    • v.23 no.1
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    • pp.205-230
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    • 2017
  • Drawing on third to fifth wave data from the Longitudinal Study of North Korean Migrant Youths' Education, we examined the longitudinal relationship between social capital of North Korean Migrant Youths and school adjustment using latent growth modeling(LGM). Specifically, we sought to answer the following research questions: Do social capital and school adjustment among North Korean Migrant Youths change over time? Is there a relationship between the changes in social capital and school adjustment among these students? Our LGM results showed that trends in social capital and school adjustment among these students were not fixed but changed over time. While the social capital developed by these students was found to influence school adjustment at the time of its development, it did not continue to influence changes in school adjustment over time. Changes in school adjustment of North Korean migrant youths were affected by changes in social capital. These results suggest that there is room for gradual improvement of school adjustment level by strengthening social capital of North Korean migrant youths.