• Title/Summary/Keyword: MANOVA

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Analysis of freshness of rice depending on packing materials using MANOVA (다변량 분산분석을 이용한 포장 재질에 따른 쌀의 신선도 분석)

  • Kim, Seong-Ju
    • The Korean Journal of Applied Statistics
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    • v.29 no.7
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    • pp.1421-1428
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    • 2016
  • This paper concerns the freshness of rice depending on packing materials using MANOVA. Freshness of rice is measured in terms of moisture content and rice flavor. Ordinary paper and charcoal-coated paper are compared as packing materials. Storing places are considered as a block. The bivariate observations of moisture content and the rice flavor are compared using MANOVA for a completely randomized block design. It is observed that there is a significant difference between ordinary paper and charcoal-coated paper. Therefore we apply ANOVA for moisture content and rice flavor, respectively. Significant differences are observed for the moisture content but not for the rice flavor.

A Comparative Analysis of Official Medical Tourism Websites : Korea, Thailand, Malaysia (국가별 의료관광 정부 공식 웹사이트 비교 분석 : 한국, 태국, 말레이시아)

  • Jin, Ki-Nam;Lee, Eun-Joo
    • The Journal of the Korea Contents Association
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    • v.15 no.2
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    • pp.408-418
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    • 2015
  • The purpose of this study is to evaluate the official medical tourism websites in several countries. We compared the websites of three countries using the 4 criteria(e.g.,contents, convenience, design, interactivity). The evaluation of accessibility and subjective perception were conducted by websites users. Total 77 cases were used for the analysis. For the statistical analysis of data, MANOVA was used. According to the MANOVA analysis, The Malaysia website received the highest mark in accessibility and subjective perception. Each of the evaluations showed a significant difference among countries.

Non-parametric approach for the grouped dissimilarities using the multidimensional scaling and analysis of distance (다차원척도법과 거리분석을 활용한 그룹화된 비유사성에 대한 비모수적 접근법)

  • Nam, Seungchan;Choi, Yong-Seok
    • The Korean Journal of Applied Statistics
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    • v.30 no.4
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    • pp.567-578
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    • 2017
  • Grouped multivariate data can be tested for differences between two or more groups using multivariate analysis of variance (MANOVA). However, this method cannot be used if several assumptions of MANOVA are violated. In this case, multidimensional scaling (MDS) and analysis of distance (AOD) can be applied to grouped dissimilarities based on the various distances. A permutation test is a non-parametric method that can also be used to test differences between groups. MDS is used to calculate the coordinates of observations from dissimilarities and AOD is useful for finding group structure using the coordinates. In particular, AOD is mathematically associated with MANOVA if using the Euclidean distance when computing dissimilarities. In this paper, we study the between and within group structure by applying MDS and AOD to the grouped dissimilarities. In addition, we propose a new test statistic using the group structure for the permutation test. Finally, we investigate the relationship between AOD and MANOVA from dissimilarities based on the Euclidean distance.

MANCOVA Biplot

  • Choi Yong-Seok;Hyun Gee Hong;Jung Su Mi
    • Communications for Statistical Applications and Methods
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    • v.12 no.3
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    • pp.705-712
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    • 2005
  • Biplot is a graphical display of the rows and columns of an n${\times}$p data matrix. In particular, Gabriel (1995) suggested the MANOVA biplot using singular value decomposition (SVD) with the averages of response variables according to treatment groups. But his biplot may cause wrong results by disregarding them when there exist covariate effects. In this paper, we will provide the MANCOA biplot based on the SVD with the parameter estimates for MANCOVA model when there exist covariate effects.

다변량 공분산분석 행렬도

  • Jeong, Su-Mi;Choe, Yong-Seok;Hyeon, Gi-Hong
    • Proceedings of the Korean Statistical Society Conference
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    • 2005.05a
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    • pp.285-290
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    • 2005
  • Biplot is a graphical display of the rows and columns an $n{\time}p$ data matrix. In particular, Gabriel(1981) suggested The MANOVA BIPLOT using singular value decomposition (SVD) with the averages of response variables according to treatment groups. But his biplot may cause wrong results by disregarding them when there exists covariate effects. In this paper, we will provide the MANCOVA BIPLOT based on the SVD with the parameter estimates for MANCOVA model when there exist covariate effects.

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The Roles of Information Load and Information Quality in Online Apparel Shopping (온라인 의류쇼핑에서 정보부하와 정보품질의 역할)

  • Park, Min-Jung
    • Journal of the Korean Home Economics Association
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    • v.47 no.9
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    • pp.101-110
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    • 2009
  • The purpose of this study was to examine the effect for information load on perceived information quality and website quality, and the relationships among perceived information quality, website quality and behavioral intentions in online apparel shopping contexts. The information load theory provided the theoretical framework for this study. The research strategy employed an online experimentation using an apparel mock website. The total of 647 responses were used for data analyses. The model of the study was tested by MANOVA and SEM. The results of MANOVA revealed the effect of information load on perceived information quality and website quality. The medium level of information load was perceived as having more positive information quality and website quality as compared to the low or high level of information load. The findings of SEM revealed the positive effect of information quality on website quailty, the positive effect of website quality on WOM and willingness to pay more, and the negative effect of website quailty on willingness to switch. Online apparel retailers and website designers need to manage information quantity and quality by understanding the importance of information load.

A Study on the Differences of Importance of Store Attributes, Use of Information Sources, and Self-Image according to Apparel Shopping Orientation of the Female College Students (여대생들의 의복쇼핑성향에 따른 점포속성중요도, 정보원의 이용, 자기 이미지의 차이에 관한 연구)

  • 신수윤
    • The Research Journal of the Costume Culture
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    • v.7 no.6
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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.

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Effects of Vowel Differences on Laryngeal DDK (모음에 따른 후두 교호운동 특성)

  • Han, Ji-Yeon;Lee, Ok-Bun
    • MALSORI
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    • v.68
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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.

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Child's Emotional Intelligence : Relationship with Mother's Parenting Efficacy and Child Rearing Stress (어머니의 부모 효능감 및 양육 스트레스와 유아의 감성지능과의 관계)

  • Lee, Seung Eun;Seo, Hyun
    • Korean Journal of Child Studies
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    • v.28 no.4
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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.

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Estimation of Gini-Simpson index for SNP data

  • Kang, Joonsung
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.6
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    • pp.1557-1564
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    • 2017
  • We take genomic sequences of high-dimensional low sample size (HDLSS) without ordering of response categories into account. When constructing an appropriate test statistics in this model, the classical multivariate analysis of variance (MANOVA) approach might not be useful owing to very large number of parameters and very small sample size. For these reasons, we present a pseudo marginal model based upon the Gini-Simpson index estimated via Bayesian approach. In view of small sample size, we consider the permutation distribution by every possible n! (equally likely) permutation of the joined sample observations across G groups of (sizes $n_1,{\ldots}n_G$). We simulate data and apply false discovery rate (FDR) and positive false discovery rate (pFDR) with associated proposed test statistics to the data. And we also analyze real SARS data and compute FDR and pFDR. FDR and pFDR procedure along with the associated test statistics for each gene control the FDR and pFDR respectively at any level ${\alpha}$ for the set of p-values by using the exact conditional permutation theory.