구조방정식모형(SEM)을 활용한 중국 이혼율 영향 요인 분석 연구

후샤징(Xiajing Hu),김유정(You Jeong Kim),김준홍(Jun Hong Kim),최용석(Yong-Seok Choi) 한국자료분석학회 2022 Journal of the Korean Data Analysis Society Vol.24 No.6

본 연구는 세계 최대 인구 보유국인 중국이 최근 이혼 문제로 고심하고 있는 점을 고려해 급격하게 증가하고 있는 이혼율에 영향을 미치는 구체적인 요소를 파악하고자 하였다. 1987년 0.5 (‰, 1000명당 이혼 건수)였던 중국의 조이혼율(이하 이혼율로 통칭)은 2019년 3.4로 17년 연속상승하고 있는 추세를 보인다. 중국의 이혼율에 관한 연구는 다양하게 진행되어 왔으나 구조방정식모형을 활용한 연구는 다소 미흡한 상태이다. 이에 본 연구에서는 중국 전체 지역을 기준으로 이혼율에 미치는 영향을 파악하고 난 후 지역별로 이혼율 분포를 파악하여 이혼율이 높은 지역, 평균인 지역, 낮은 지역 간 이혼율 상승 원인과 지리적인 차이를 비교 분석하고자 한다. 이를 위해 National Bureau of Statistics of China, Global Data Lab 그리고 CEI Data의 오픈 자료로부터 중국의 2001년부터 2019년까지의 이혼율과 상관이 높은 GDP, 소비수준, 여성 수입 및 교육수준, 출산율 등의 총 12개 변수를 선택하였고, 기술통계분석, 다변량 분산분석(MANOVA)과 프로파일 분석(profile analysis, PA)을 통해 이혼율이 높은 지역(헤이룽장성:黑龍江), 평균 지역(산시성: 陝西), 낮은 지역(광둥성:廣東) 총 3개 집단 간에 차이가 있는지 확인하였다. 그리고 탐색적 요인분석을 통해 이혼율에 미치는 요인을 분석했다. 끝으로 구조방정식모형의 분석에서 이혼율이 높은 헤이룽장성과 평균인 산시성, 낮은 광둥성 간에 경제사회 개발화 특성 및 현대가족 특성이이혼율과 출산율에 미치는 영향을 검증하여 결론을 내리고자 한다. 따라서 본 연구에서 언급된영향 외에도 이혼율에 영향을 미치는 이유는 여러 가지 있을 것으로 여겨진다. In recent years, the divorce rate for China has been rising year by year. Based on the crude divorce rate from 2001 to 2019, this paper selects four groups of Heilongjiang, Shanxi and Guangdong, where the total divorce rate and the total divorce rate of China are high, medium and low respectively, and explores the reasons for the rising divorce rate of China from three aspects of economy, education and population composition. Compare the provinces with high divorce rate and low divorce rate at the same time, and analyze the reasons and geographical differences of rising divorce rate. This paper is mainly divided into two parts. The first part is the comparison of differences between four groups based on multivariate statistical analysis, and the second part is structural equation model analysis. The first part is mainly descriptive statistics and variance analysis of all groups in China, Shaanxi, Guangdong and Heilongjiang, to confirm whether there are differences among the four groups. Then, profile analysis was conducted to compare the whole in China and Shaanxi province with the median divorce rate, as well as heilongjiang Province with the high divorce rate and Guangdong Province with the low divorce rate. In the second part of structural equation model analysis, first of all, the factors affecting the divorce rate were analyzed. Secondly, through the structural equation model analysis, the effect of economic and social development characteristics and modernization characteristics and fertility on divorce rates between Heilongjiang Province, the average Shanxi Province, and low Guangdong Province is verified and concluded. Through a variety of analyses, this paper draws a conclusion that the divorce rate for China is greatly influenced by social development characteristics and modernization characteristics and fertility. However, there is little difference in the influence factors of the three provinces of China.

송도 해변축제 성과평가에 관한 실증 연구

황성수,이민우 한국자치행정학회 2024 한국자치행정학보 Vol.38 No.1

본 연구는 송도 해변축제의 관람객 만족도에 대한 다변량 분산분석과 3단계 회귀분석과 Big-Data분석을 통한 관람객 규모 및 산업연관 분석을 이용한 경제적 파급효과분석을 통해 성과평가를 실시하였으며 그 결과는 다음과 같다. 첫째, 송도 해변축제 ‘프로그램 만족도의 경우 5.9776, 행사시설 만족도 5.8658, 서비스 만족도 6.0224, 행사정보 전달성 5.6554’로 나타났으며 매개변수로 사용된 전반적 만족도는 6.0192, 종속변수로 사용된 재방문 의사는 6.0990으로 나타났다. 둘째, 다변량분산분석(MANOVA) 결과 관람객의 성별 및 거주지역별 특성에 따른 만족도 차이는 발생하지 않는 것으로 나타났으며, 3단계 회귀분석 결과 매개변수인 전반적 만족도는 종속변수인 재방문 의사에 조절효과가 있는 것으로 나타났으며, 전반적 만족도에 가장 크게 영향을 미치는 항목은 서비스 만족도가 재방문 의사는 프로그램 만족도가 가장 크게 영향을 주는 것으로 나타났다. 셋째, Big-Data 분석 결과 송도 해변축제 기간 동안 참여한 관람객의 경우 인천광역시 연수구(지역 주민) 44,061명 71.9%가 참여한 것으로 나타났으며, 인천광역시 연수구 이외 거주자(타지역 방문자)는 17,334명 28.1%가 방문하여 축제기간 전체 관람객 인원은 61,295명으로 나타났다. 넷째, 산업연관분석을 이용한 경제적 파급효과 분석결과 생산유발효과는 3,001.07백만원, 부가가치유발효과는 1,176.31백만원, 수입유발효과 255.45백만원이 발생하였으며 취업유발효과는 36.9명으로 나타났다. This paper analyzes the performance of Songdo Beach Festival. This analysis method employs Multivariate Analysis of Variance(MANOVA) and Hierarchical Multiple Regression Analysis, Big-Data Analysis, the Input-Output Analysis which are designed to measure the performance of Songdo Beach Festival. The summary of the results is as follows. First, as a result of visitor satisfaction analysis, program satisfaction was 5.9776, event facility satisfaction was 5.8658, service satisfaction was 6.0224, event information delivery was 5.6554, overall satisfaction was 6.0192, and intention to revisit was 6.0990. Second, as a result of analyzing difference in satisfaction by gender or residential area, there were no significant difference in satisfaction and intention to recommend. Third, as a result of the Hierarchical Multiple Regression Analysis, the mediating variable, overall satisfaction, was found to have a moderating effect on the dependent variable, intention to revisit. Fourth, as a result of Big-Data analysis, it was found that 44,061 people(71.9%) of the visitors who participated during the Songdo Beach Festival were from Yeonsu-gu, Incheon Metropolitan City(local residents), and 17,334 people(28.1%) lived outside of Yeonsu-gu, Incheon Metropolitan City(visitors from other regions). The total number of visitors during the festival period was 61,295. Finally, as a result of analyzing the economic ripple effects of the Songdo Beach Festival, the total expenditure effect was 502.2 million won in production, 192.5 million won in value-added, 38.0 million won in income, and 6 people employed, respectively.

다변인 통계분석의 적용상 주의점: 분산분석과 중회귀분석을 중심으로

곽호완 한국인지및생물심리학회 2010 한국심리학회지 인지 및 생물 Vol.22 No.2

최근 상업용 통계 패키지의 발달에 힘입어 다변인 통계분석에 기초한 연구들이 양산되고 있다. 다변인 분석은 단변인 통계에 비해 복잡한 연구문제를 탐색할 수 있는 장점이 있지만, 통계분석의 복잡성으로 인하여 절차상 오류들이 더러 발견된다. 더욱이, 다변인 통계분석의 수학적 기초가 복잡하여 그 원리를 이해하기 어렵고, 분석방법 및 결과 해석이 난해할 수 있으며, 다양한 분석법들이 상반된 결과를 낳아서 결과해석이 곤란해질 수 있다. 따라서 본 연구에서는 다변인분석 적용상의 가능한 오류와 주의점들을 기술하여 이러한 오용을 줄일 수 있는 방안을 제시하고자 하였다. Due to the recent developments in commercial statistical packages, vast amount of research articles based on multivariate statistics have been published. While the multivariate statistics have advantages over the univariate statistics in dealing with more complicated research hypothesis, abuses and misuses in it's application have been frequently noticed in many researches, due to the underlying complexities. Specifically, it is difficult to understand the basic principle due to the mathematical complexities underlying in it, henceforth making the interpretation of the analysis result be difficult. Even worse, different choice of the analysis methods sometimes result in contradicting results, making the interpretation implausible. This study tried to examine the cases of misuses in the application of multivariate statistics, and to identify the problems. Finally, several precautions for reducing the incidents was proposed.

Matrix Formation in Univariate and Multivariate General Linear Models

Arwa A. Alkhalaf International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.4

This paper offers an overview of matrix formation and calculation techniques within the framework of General Linear Models (GLMs). It takes a sequential approach, beginning with a detailed exploration of matrix formation and calculation methods in regression analysis and univariate analysis of variance (ANOVA). Subsequently, it extends the discussion to cover multivariate analysis of variance (MANOVA). The primary objective of this study was to provide a clear and accessible explanation of the underlying matrices that play a crucial role in GLMs. Through linking, essentially different statistical methods, by fundamental principles and algebraic foundations that underpin the GLM estimation. Insights presented here aim to assist researchers, statisticians, and data analysts in enhancing their understanding of GLMs and their practical implementation in diverse research domains. This paper contributes to a better comprehension of the matrix-based techniques that can be extended to GLMs.

AB 번역에 나타나는 문법오류 유형 분석 및 번역 성취도와의 관계 연구

김훈밀(Kim Hoonmil) 한국통번역교육학회 2015 통번역교육연구 Vol.13 No.1

In this study, 27 sets of Korean-to-English translation work by undergraduate students were analyzed for grammatical errors. Errors were tallied by type and by student, from which five high-level categories of grammatical errors were defined: ‘article-bound’, ‘preposition-bound’, ‘verb-bound’, ‘other POS’, and ‘faulty sentence’. Analysis revealed a significant and strong correlation was found between translation scores and total number of grammatical errors of each student (r = .82, p < .01), indicating that the grammatical error was the single strongest factor in predicting undergraduate students’ scores on Korean-to-English translation. Then the students were divided into high and low groups. MANOVA was run between the students’ translation scores(IV) and the number of errors in each of the five high-level error categories(DVs). The result showed that the high and the low groups differed significantly on five error categories(η² = .611, p < .01). ‘Faulty sentence’ was found to have the strongest correlation with the translation scores followed by ‘preposition-bound’ and ‘verb-bound’.

Multivariate Analysis of Variance for Fuzzy Data

Kang, Man-Ki,Han, Sung-Il Korean Institute of Intelligent Systems 2004 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.4 No.1

We propose some properties of fuzzy multivariate analysis of variance by fuzzy vector operation with agreement index. We deals fuzzy null hypotheses and fuzzy alternative hypothesis and define the agreement index for the grades of the judgements that the hypothesis is rejection or acceptance. Finally, we provide an example to evaluate the judgements.

Multivariate Analysis of Variance for Fuzzy Data

Man-Ki Kang,Sung-Il Han 한국지능시스템학회 2004 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.4 No.1

금융업과 정보서비스업간의 경영성과차이 분석에 관한 연구

안창호(Chang-Ho An) 융복합지식학회 2017 융복합지식학회논문지 Vol.5 No.2

세계경제의 침체가 장기화되면서 유동성과 수익성이 낮은 기업들은 불황에 직면하게 됨으로써 도산위험이 급증할 것으로 판단된다. 유동성과 수익성은 기업의 경영성과분석에서 매우 밀접한 관계를 갖고 있다. 따라서 본 연구에서는 금융업과 정보서비스업간의 재무비율분석을 실시하여 유동성과 수익성의 차이, 유동성과 수익성에 미치는 재무적 요인을 분석하였다. 두 업종간의 유동성과 수익성에 미치는 요인은 표준화 상관행렬을 이용한 주성분분석을 실시하였고 그 결과 현금비율과 순운전자본비율이 두 업종의 유동성과 수익성에 미치는 공통요인으로 분석되었다. 그리고 두 개의 공통요인을 이용하여 다변량분산 분석으로 두 업종별 유동성과 우익성의 차이를 분석한 결과 두 업종의 유동성과 수익성은 차이가 있는 것으로 분석되었다. 한편 다중비교 결과 금융업의 유동성과 수익성은 차이가 있었고, 정보서비스업의 유동성은 차이가 있었으나 수익성은 차이가 없는 것으로 나타났다. 그리고 최대유의선형결합에 의한 두 업종의 유동성과 수익성에 미치는 중요한 요인은 각각 순운전자본비율과 매출액총익률로 분석되었다. As the global economic downturn becomes prolonged, companies with low liquidity and low profitability will face a recession, which will increase the risk of bankruptcy. Liquidity and profitability are closely related in the analysis of business performance. Therefore, this study analyzed the difference between liquidity and profitability and the financial factors that affected liquidity and profitability by analyzing financial ratios between financial and information service industries. Factors affecting liquidity and profitability of the two industries were analyzed using the principal component analysis with standardized correlation matrix. As a result, cash ratio and net working capital ratio were analyzed as common factors for the liquidity and profitability of the two industries. And as a result of analyzing the difference of liquidity and profitability of the two industries using MANOVA with the two common factors, liquidity and profitability of the two industries were different. Meanwhile as a result of multiple comparisons, liquidity and profitability of the financial industry were different, and liquidity of the information service industry was different but profitability was not different. The major factors affecting liquidity and profitability of the two industries by the maximum significance linear combination were the net working capital ratio and the gross profit margin rate respectively.

공급사슬 품질경영 성과 향상을 위한 공급자 선정에 관한 연구

김현정(Hyun Jung Kim),김수욱(Soo Wook Kim) 한국SCM학회 2014 한국SCM학회지 Vol.14 No.1

Supply chain Quality Management (SCQM) emerged as product quality issues expanded beyond an organization and into its supply chain. In SCQM, first-rate suppliers play a vital role in determining the buyer’s competitiveness and success. Previous SCQM studies, however, only focus on the need for SCQM, rendering supplier selection largely unexamined. This research fills in that gap by identifying quality, cost, flexibility, delivery, and the relative importance of these factors as the criteria for supplier selection and providing empirical analysis of the criteria for improving SCQM outcomes. With 217 automotive parts manufacturers categorized into three SCQM groups where the high-performing group contains 40, the moderately-performing group 145, and the low-performing group 32 manufacturers, we run a Multivariate Analysis of Variance (MANOVA) and an Analytic Hierarchy Process (AHP). First, MANOVA results in the importance of the selection factors show a significant difference in quality, cost, and delivery at the 5% significance level across the three SCQM groups whereas flexibility has no statistical significance. Second, AHP results of the relative importance of the selection factors across the three performance groups show that quality, delivery, and cost must be taken into account before flexibility to improve SCQM. Findings in this study elucidate the implications of aligning the strategic direction between buyers and suppliers for improving the overall SCQM performance and competitiveness.

춘천 재래시장의 활성화 방안 연구 -재래시장과 대형마트 이용고객의 실태조사를 중심으로

이종인 ( Jong In Lee ),노성훈 ( Sung Hoon Roh ),신해식 ( Hae Sik Shin ),정윤필 ( Yun Pil Jung ) 韓國食品流通學會 2009 食品流通硏究 Vol.26 No.3