• 응용통계연구
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• 제30권4호
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• pp.567-578
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• 2017

일반적으로 그룹화된 다변량자료는 다변량 분산분석(multivariate analysis of variance; MANOVA)을 사용하여 그룹 간 차이를 검정할 수 있다. 그러나 만약 다변량 분산분석의 기본적인 가정이 위배되면 이 방법은 적절하지 못하다. 이 경우 다양한 거리로부터 그룹화된 비유사성을 계산한 후 다차원척도법(multidimensional scaling; MDS), 거리분석(analysis of distance; AOD) 그리고 비모수적 기법인 순열검정(permutation test)을 적용하여 문제를 해결할 수 있다. 다차원척도법은 비유사성으로부터 개체들의 좌표를 계산해주며 거리분석은 이 좌표를 활용하여 그룹구조를 파악하는데 유용하다. 특히 비유사성의 측도로 유클리드 거리를 사용하면 거리분석은 다변량 분산분석과 수리적으로 매우 밀접한 연관관계를 맺는다. 따라서 본 연구에서는 그룹화된 비유사성에 다차원척도법과 거리분석을 적용하여 그룹 내와 그룹 간의 구조를 파악하고 순열검정을 위한 새로운 검정통계량을 제안하려 한다. 덧붙여 유클리드 거리를 활용한 비유사성을 통해 거리분석과 다변량 분산분석과의 수리적 연관성을 고찰하고자 한다.

• 한국콘텐츠학회논문지
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• 제15권2호
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• pp.408-418
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• 2015

본 연구의 목적은 우리나라 의료관광 정부 공식 웹사이트와 경쟁국인 태국과 말레이시아의 의료관광 정부 공식 웹사이트의 컨텐츠를 비교하여 살펴보고, 의료관광 잠재고객의 웹사이트 이용 평가를 분석하였다. 이용자 평가에는 크게 웹사이트 주관적 인식 평가와 접근성 평가로 나누어진다. 주관적 인식 평가는 만족도와 충성도로 측정하였고, 접근성 평가는 주어진 제시어를 찾는데 걸린 시간을 측정하였다. 분석에는 총 77 케이스가 포함되었고, 세 국가의 비교분석을 위해 MANOVA분석을 실시하였다. 분석 결과는, 말레이시아 의료관광 정부 공식 웹사이트가 접근성과 주관적 평가에서 가장 높은 평가를 받았으며, 두 평가 모두 국가 간 유의미한 차이가 있었다.

• 응용통계연구
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• 제29권7호
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• pp.1421-1428
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• 2016

본 논문에서는 포장 재질에 따라 쌀의 신선도가 어떻게 달라지는지 알아보기 위해 다변량 분산분석을 적용해 보았다. 쌀의 신선도는 쌀의 수분 함량과 식미치로 측정하였다. 포장 재질은 일반 종이와 종이 뒷면에 숯을 코팅한 종이를 비교하였다. 쌀을 보관하는 장소를 블록으로 간주하였다. 쌀의 수분 함량과 식미치를 나타내는 이변량 관측값에 대하여 완전 확률화 블록 설계에 의한 다변량 분산분석을 적용해 본 결과 포장 재질에 따라 유의한 차이를 보였다. 따라서 쌀의 수분 함량과 식미치 각각을 단일변량 관측값으로 간주하고 분산분석을 적용해 보았다. 그 결과 쌀의 수분 함량에 대해서는 포장 재질에 따라 유의한 차이를 보였으나 식미치에 대해서 유의한 차이 관측할 수 없었다.

• 복식문화연구
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• 제7권6호
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• pp.54-67
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• 1999

The purpose of this study were (1) to segment the female college students according to apparel shopping orientation and (2) to create a profile for each group with regard to impotance of store attributes, use of information sources, and self-image. The questionnaire were administered to the female college students living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, one-way ANOVA(analysis of variance), and MANOVA(multivariate analysis of variance). By cluster analysis of apparel shopping orientation factors, four groups are identified : (1) highly involved apparel shopper (44.34%), (2) brand-loyal shopper (24.43%), (3) planned / practical shopper, and (4) apathetic shopper (18.10%) Four groups were then compared through MANOVA on importance of store attributes, use of information, and self-image. Significant differences were found among four groups on three variables. In general. highly involved shopper tend not to be price conscious, enjoy shopping and use the information sources most actively and apathetic shoppers tend to be indifferent to apparel shopping and do not actively use the information sources.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.44-50
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• 2024

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.

• 아동학회지
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• 제28권4호
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• pp.127-144
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• 2007

Mothers of 101 5- to 6-year-old children were administered the Parenting Efficacy Test (Shin & Jung, 1998; Ann & Park 2002) and the Parenting Stress Index (Lee, Yeom, & Shin, 2000). Children's emotional intelligence (EI) was measured by the Emotional Intelligence Test for Children (Lee & Lee, 2004b). Data were analyzed by correlation and multivariate analysis of variance (MANOVA). Correlation analysis demonstrated a relationship of parenting efficacy and stress with child's EI. MANOVA revealed that children, whose maternal parenting efficacy was in the upper thirty percent, showed higher EI than parenting efficacy in the lower thirty percent : children whose maternal parenting stress was in the upper thirty percent, showed lower EI than those with stress in the lower thirty percent.

• 복식문화연구
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• 제9권6호
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• pp.818-829
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• 2001

The purposes of this study were to segment the men in twenties and thirties according to clothing benefits sought, and to develop a profile of each segment concerning shopping orientation, self·image, and importance of store attributes. The questionnaire was administered to men in twenties and thirties living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, and MANOVA(multivarite analysis of variance). By cluster analysis of clothing benefits sought, three groups were identified and labeled as: (1) the group of focusing the influence of other people and comfort clothing(31.7%): (2) the group of pursuing the fashion trend (48.1%); the group of pursuing the individuality(20.1%). Three groups were then compared through MANOVA on shopping orientation, importance of store attributes, and self-image. Significant differences were found among three groups on three variables. In general, the group of focusing the influence of other people and comfort clothing tended to be ostentatious and tended to wear comfortable clothing. The group of pursuing the fashion trend didn't show specific shopping orientation and just liked to follow the current fashion trend. The group of pursuing the individuality enjoyed the shopping and liked to buy the clothing which enhances the personal character.

• 아동학회지
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• 제9권1호
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• pp.93-118
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• 1988

Systematic Training for Effective Parenting, developed by Dinkmeyer and McKay, is a parent education program that emphasizes social-emotional development. The present research studied the applicability of STEP to Korean mothers by examining changes in mothers' self-concept, mother's child-rearing attitudes, and children's behavior. The subjects of this study were 43 mothers of a kindergarten in Chonju City. 25 mothers were assigned to the control group and 18 mothers to the experimental group. Primary observes, consisting of 43 fathers of kindergarten children, and secondary observers, consisting of 43 Woosuk University students observed mothers' child-rearing attitudes and children's behavior. Instruments included the self-concept test by Jung Woonsik, Schaefer's Maternal Behavior Research Instrument, O Kiseon's Parent Child Relationship Test, Fear's parent questionnaire, and McKay's Adlerian Parental Assessment of Child Behavior. The mothers' child-rearing attitudes and the children's behavior are recorded by the observers and were compared with mothers' responses. The data were analyzed by MANOVA (multivariate analysis of variance), and ANOVA (analysis of variance). While the MANOVA showed no significant difference between the control and the experimental groups in changing the mothers' self-concept, differences in 5 of the 8 subfactors showed that STEP implemented positive change in the self-identity, self-satisfaction, self-behavior, personal self and family self in the experimental group. The MANOVA showed a significant difference between the two groups in changing the mothers' child-rearing attitudes. That is after participating in the STEP program, the mothers of the experimental group showed more significant progress than those of the control group. Mothers' observations of positive change in children's behavior agreed with those of the primary and secondary observers.

• 응용통계연구
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• 제35권5호
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• pp.579-591
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• 2022

함수 데이터는 다양한 분야에서 수집되고 있으며, 집단 간의 함수 데이터를 비교해야하는 경우가 종종 발생한다. 이럴 경우 점별 분산분석 방법을 이용하여 설명하기에는 무리가 있으며, 통합된 결과를 제시할 필요가 있다. 이에 대한 다양한 연구가 제안되었으며, 최근에 R 패키지 fdANOVA로 구현되었다. 이 논문에서 우선 분산분석 및 다변량 분산분석을 설명하고, 최근에 제안된 다양한 단변량 및 다변량 함수 데이터 분산분석을 설명하고자 한다. 또한 R 패키지 fdANOVA의 사용 방법을 설명하고, 이 패키지를 이용하여 서울과 부산 지역의 주별 기온을 단변량 함수 데이터 분산분석을 통해 비교하고, 손글씨 이미지를 다변량 함수 데이터로 변환하여 다변량 함수 데이터 분산분석을 이용하여 비교하고자 한다.

• 대한음성학회지:말소리
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• 제68권
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• pp.1-15
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• 2008

This study investigated the vowel effect on laryngeal DDK (L-DDK) in terms of rate, regularity, and range. Thirteen normal speakers participated in this experiment. Speakers were asked to repeat the vowels /a, e, i, o, u/ for vocal fold adduction DDK, and /ha, he, hi, ho, hul for vocal fold abduction DDK. Acoustic data was analyzed via Motor Speech Profile. There were 6 parameters: DDKavp and DDKavr for rate of L-DDK, DDKcvp and DDKjit for regulariry of L-DDK, and DDKavi and DDKcvi for range of L-DDK. Results of MANOVA and Fredman analysis showed no significant vowel effect on rate and regularity of L-DDK. MANOVA revealed significant effects of vowels and vocal fold ab/adduction on range of L-DDK. DDK peak intensity (DDKavi) in vowel /i/ production was lower than in vowels /a, e, o, u/. Variation of DDK peak intensity (DDKcvi) was significantly greater for /ha/ than for /a/ production. The implication of these findings on voice and speech pathology is discussed.