• Title/Summary/Keyword: Varimax rotation

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Improving Interpretability of Multivariate Data Through Rotations of Artificial Variates

  • Hwang, S.Y.;Park, A.M.
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.2
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    • pp.297-306
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    • 2004
  • It is usual that multivariate data analysis produces related (small number of) artificial variates for data reduction. Among them, refer to MDS(multidimensional scaling), MDPREF(multidimensional preference analysis), CDA(canonical discriminant analysis), CCA(canonical correlation analysis) and FA(factor analysis). Varimax rotation of artificial variables which is originally invented in FA for easy interpretations is applied to diverse multivariate techniques mentioned above. Real data analysisis is performed in order to manifest that rotation improves interpretations of artificial variables.

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Factor Analysis of Uncertainty Experienced by Patients having Rheumatoid Arthritis (류마티스 관절염 환자가 지각하는 불확실성 개념의 요인분석)

  • Yoo, Kyoung-Hee;Lee, Eun-Ok
    • Journal of muscle and joint health
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    • v.4 no.2
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    • pp.238-248
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    • 1997
  • This study was conducted to identify the characteristics of uncertainty in patients having rheumatoid arthritis. Subjects of the study constituted 528 patients who visited outpatient clinics of two university hospitals and one general hospital in Seoul. A self report questionnaire was used to measure the uncertainty. Reliability coefficients of this instrument was found Cronbach's ${\alpha}=.84$. In data analysis, SPSS PC 6.0 computer program was utilized for descriptive statistics and factor analysis. Three factors were appointed on the basis of literature review for the principal component factor analysis method and Varimax Orthogonal Rotation. The results of factor analysis were as follows ; 1) Three factors for uncertainty were identified through the principal component analysis and varimax rotation, and these contributed 37.4% of the valiance in the total score. Twenty six items among the whole items in the scale loaded above .39 on one of 3 factors. 2) The naming of each factor was as follows : Factor 1 was 'ambiguity' and has 12 items, factor 2 was 'lack of information' and has 8 items, factor 3 was 'unpredictability' and has 7 items. 3) Cronbach's alpha for internal consistency was .84 for the total items and .81, .80, .50 for each of three subscales in that order.

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Application of varimax rotated principal component analysis in quantifying some zoometrical traits of a relict cow

  • Pares-Casanova, P.M.;Sinfreu, I.;Villalba, D.
    • Korean Journal of Veterinary Research
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    • v.53 no.1
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    • pp.7-10
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    • 2013
  • A study was conducted to determine the interdependence among the conformation traits of 28 "Pallaresa" cows using principal component analysis. Originally 21 body linear measurements were obtained, from which eight traits are subsequently eliminated. From the principal components analysis, with raw varimax rotation of the transformation matrix, two principal components were extracted, which accounted for 65.8% of the total variance. The first principal component alone explained 51.6% of the variation, and tended to describe general size, while the second principal component had its loadings for back-sternal diameter. The two extracted principal components, which are traits related to dorsal heights and back-sternal diameter, could be considered in selection programs.

A Study on the Development of an Infertility Stress Scale (불임 스트레스 척도 개발에 관한 연구)

  • 김선행;박영주;장성옥
    • Journal of Korean Academy of Nursing
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    • v.25 no.1
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    • pp.141-155
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    • 1995
  • The objective of this study was to develop a scale to measure stress in infertile couples and to test its reliability and validity. Prior to item generation, a basic decision was made to conceptualize stress in infertile couples as including two dimensions and four subdimensions. The dimensions were, intrapersonal stress including cognitive and affective stress, and interpersonal stress including marital and social stress. Initially 95 items were generated from the inter-view data of 31 primary or secondary infertile women and from a literature review. These items were analyzed through the Index of Content Validity(CVI) and 69 items were selected which met 70% or more of the CVI. This preliminary Infertility Stress Scale were analyzed for reliability and construct validity. Item analysis and factor analysis were applied for construct validity. Forty items were selected through item analysis. This procedure was based on the inter-item correlation matrix, a corrected average inter-item correlation coefficient(.30~.70), a corrected item to total correlation coefficient (.03 or more) and information about the alpha estimate if this item was dropped from the scale. The result of the initial factor analysis including varimax rotation produced eight factors. Five items deleted because of factor complexity(indiscriminate factor loadings). The secondary factor analysis including varimax rotation produced seven factors that coincided with the conceptual framework posed for the scale developed. The seven factors were labeled as ‘meaning of children’,‘worthiness’,‘tenacious linking’,‘marital satisfaction’,‘sexual satisfaction’,‘familial adjustment’ and ‘social adjustment’. The alpha coefficient relating to internal consistency was .93 for reliability The results of this study suggest that the measurement derived from the Infertility Stress Scale is useful in assessing the stress of infertile couples.

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Relation between Multiple Markers of Work-Related Fatigue

  • Volker, Ina;Kirchner, Christine;Bock, Otmar L.
    • Safety and Health at Work
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    • v.7 no.2
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    • pp.124-129
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    • 2016
  • Background: Work-related fatigue has a strong impact on performance and safety but so far, no agreed upon method exists to detect and quantify it. It has been suggested that work-related fatigue cannot be quantified with just one test alone, possibly because fatigue is not a uniform construct. The purpose of this study is therefore to measure work-related fatigue with multiple tests and then to determine the underlying factorial structure. Methods: Twenty-eight employees (mean: 36.11; standard deviation 13.17) participated in five common fatigue tests, namely, posturography, heart rate variability, distributed attention, simple reaction time, and subjective fatigue before and after work. To evaluate changes from morning to afternoon, t tests were conducted. For further data analysis, the differences between afternoon and morning scores for each outcome measure and participant (${\Delta}$ scores) were submitted to factor analysis with varimax rotation and each factor with the highest-loading outcome measure was selected. The ${\Delta}$ scores from tests with single and multiple outcome measures were submitted for a further factor analysis with varimax rotation. Results: The statistical analysis of the multiple tests determine a factorial structure with three factors: The first factor is best represented by center of pressure (COP) path length, COP confidence area, and simple reaction time. The second factor is associated with root mean square of successive difference and useful field of view (UFOV). The third factor is represented by the single ${\Delta}$ score of subjective fatigue. Conclusion: Work-related fatigue is a multidimensional phenomenon that should be assessed by multiple tests. Based on data structure and practicability, we recommend carrying out further studies to assess work-related fatigue with manual reaction time and UFOV Subtest 2.

Development of Program Outcome Self-Assessment Tool in Korean Nursing Baccalaureate Education (간호학 프로그램 학습성과 간접측정 도구개발)

  • Kim, Hyun-Kyoung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.21 no.2
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    • pp.215-226
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    • 2015
  • Purpose: This study aimed to develop a self-assessment tool to evaluate program outcomes of nursing students in Korean nursing undergraduate education. Methods: The instrument development process consisted of literature review, focus group interviews, and item validation. A total of 117 items were analyzed through content validity testing. Data was gathered from 302 nursing students in Korea and analyzed using SPSS 21.0. Results: To construct validity, principal component analysis and Varimax rotation were used, and 12 factors, with a cumulative explanatory variance of 69.16%, were determined from 79 items. For internal consistency and reliability, Cronbach's ${\alpha}$ was .91. The half-split reliability results were .84 and .85, and the ROC curve showed an optimal cutpoint at 227. A five-point Likert scale was used for scoring. Conclusion: This instrument was found to have fair validity and reliability as a self-assessment tool for nursing student learning outcomes. Therefore, it can be used to evaluate program outcomes indirectly in nursing schools.

Reliability and Validity Tests for the fatigue Assessment Instrument (FAI) (피로사정도구(Fatigue Assessment Instrument : FAI)의 신뢰도와 타당도 검증)

  • Byeon Young-Soon;Lee Jung-In
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.11 no.2
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    • pp.220-225
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    • 2004
  • Purpose: The purpose of this study was to test the reliability and validity of FAI and to apply it in Korea. Method: Data were collected from 180 middle-age women. The questionnaire, which was originally developed by Schwartz, Jandorf & Krupp, was analyzed using Cronbach's a and factor analysis. Results: Cronbach's a for the FAI was .9198. As a result of item analysis, 27 items were selected from the total of 29 items, Items that showed low correlation with the total scale were excluded. Six factors were fixed from the data analysis performed using principle component analysis and varimax rotation. These six factors account for 65.3% of total variance. The first factor was global fatigue severity, and the second one was fatigue consequences. The other factors were method of fatigue reduction, fatigue caused by exercise, fatigue caused by routine activity, and fatigue caused by stress and depression, sequentially. Conclusion: The reliability and validity of FAI were verified.

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The Consumers' Evaluative Criteria of Quality on the Clothing Products (의류제품에 대한 소비자의 품질평가기준)

  • 김민수;김문숙
    • The Research Journal of the Costume Culture
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    • v.11 no.1
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    • pp.47-65
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    • 2003
  • The purpose of this study was to examine the characteristics of consumer evaluative criteria based on clothing quality perception of adult males and females. A demonstrative study was conducted using a questionnaire on adults over 20 years old who were considered to afford to purchase clothes. A total of 650 questionnaires were distributed, and among them, 380 were used for the demonstrative analysis. The study used SPSSWIN V.8.0 for the analysis. Factor analysis and reliability analysis were introduced as analysis methods using the varimax rotation to classify consumer evaluative criteria for clothing purchasing. In addition, frequency analysis, correlation analysis, 1-test, multiple regression analysis, and duncan test are executed. The study result is as follows. First. expectation, importance and performance are examined by customer quality perception. Four factors- practicability, care, aesthetics, and symbolism- are classified through the factor analysis of 19 evaluative attributes based on importance. Second, differences of quality perception f3r expectation, importance and performance were found partly in customers' demographic characteristics. Third, the influential relation of satisfaction and quality perception is examined. Aesthetics and practicability have significant influence on the general satisfaction of evaluative attributes by performance.

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Improvement of Operating Efficiency on Advanced Wastewater Plant Using Statistical Approach (고도처리 효율 향상을 위한 통계적 접근)

  • Moon, Kyung-Sook;Min, Kyung-Sub;Kim, Seung-Min;Lee, Chan-Hyung
    • Journal of Environmental Science International
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    • v.17 no.4
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    • pp.405-412
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    • 2008
  • Statistical analysis technique was applied to operating parameters and removal efficiency data sets obtained from advanced wastewater treatment plant during 1 year. Through factor analysis three factors derived varimax rotation were selected each plant. Three components explained 96%, 87% of the total variance of the process, respectively. The components on $A_2O$ Plant were identified in the following order : 1) Shortening the SRT during high-flow period, 2) Keeping biomass high on winter 3) factor was related to DO. On DNR plant, we defined them as follows: factor 1, Prolonged the SRT during high-flow period; factor 2 was related to sludge return; factor 3, Influent BOD during low-DO period. This technique was believed to assist operators in identifying priorities to improve operation efficiency.