Academic literature on the topic 'Varimax Rotated Principal Component Analysis'

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Journal articles on the topic "Varimax Rotated Principal Component Analysis"

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Acal, Christian, Ana M. Aguilera, and Manuel Escabias. "New Modeling Approaches Based on Varimax Rotation of Functional Principal Components." Mathematics 8, no. 11 (2020): 2085. http://dx.doi.org/10.3390/math8112085.

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Functional Principal Component Analysis (FPCA) is an important dimension reduction technique to interpret the main modes of functional data variation in terms of a small set of uncorrelated variables. The principal components can not always be simply interpreted and rotation is one of the main solutions to improve the interpretation. In this paper, two new functional Varimax rotation approaches are introduced. They are based on the equivalence between FPCA of basis expansion of the sample curves and Principal Component Analysis (PCA) of a transformation of the matrix of basis coefficients. The
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de Viron, Olivier, Michel Van Camp, Alexia Grabkowiak, and Ana M. G. Ferreira. "Comparing global seismic tomography models using varimax principal component analysis." Solid Earth 12, no. 7 (2021): 1601–34. http://dx.doi.org/10.5194/se-12-1601-2021.

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Abstract. Global seismic tomography has greatly progressed in the past decades, with many global Earth models being produced by different research groups. Objective, statistical methods are crucial for the quantitative interpretation of the large amount of information encapsulated by the models and for unbiased model comparisons. Here we propose using a rotated version of principal component analysis (PCA) to compress the information in order to ease the geological interpretation and model comparison. The method generates between 7 and 15 principal components (PCs) for each of the seven tested
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Yakubu, A., A. E. Salako, and A.-R. Abdullah. "Varimax rotated principal component factor analysis of the zoometrical traits of Uda sheep." Archivos de Zootecnia 60, no. 231 (2011): 813–16. http://dx.doi.org/10.4321/s0004-05922011000300069.

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Al-Dajah, Hasan Abdullah. "Economic Causes of Extremism Intellectual (Thoughts) Views of Graduate Students Using Multivariate Statistical Techniques." Journal of Politics and Law 9, no. 7 (2016): 160. http://dx.doi.org/10.5539/jpl.v9n7p160.

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The present study investigated the impact of the economic reasons on the intellectual (thoughts) extremism, and the statement of the most important indicators in the economic factor that lead to extremism from the views of graduate students. The study problem based on the following question: What are economic factors leading to the extremism of the intellectual(Thoughts)? Correlation coefficient, Principal component analysis (PCA), varimax (F) rotated factor analysis, and dendrogram cluster analysis (DCA) were assessed for the economic impacts that leads to extremism(Thoughts). Multivariate st
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Pares-Casanova, P. M., I. Sinfreu, and D. Villalba. "Application of varimax rotated principal component analysis in quantifying some zoometrical traits of a relict cow." Korean Journal of Veterinary Research 53, no. 1 (2013): 7–10. http://dx.doi.org/10.14405/kjvr.2013.53.1.007.

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Saikhom, Reshma, Ajit Sahoo, Subhash Taraphder, et al. "Varimax Rotated Principal Component Analysis Of Morphometric Traits Of Haringhata Black Chickens Raised Under Intensive Management System." International Journal of Livestock Research 8, no. 5 (2018): 139. http://dx.doi.org/10.5455/ijlr.20170525085724.

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Green, Dianne E., and Frank H. Walkey. "A FOURTH-ORDER ANALYSIS OF THE EYSENCK PERSONALITY INVENTORY: SOME PREDICTABLE RESULTS FROM AN UNUSUAL ANALYSIS." Social Behavior and Personality: an international journal 19, no. 3 (1991): 157–63. http://dx.doi.org/10.2224/sbp.1991.19.3.157.

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Responses of 392 New Zealand subjects to the Eysenck Personality Inventory were subjected to second, third and fourth-order principal components analysis. Subsequently, the results obtained from two and three-factor, fourth-order varimax rotations were compared with each other when appropriate with equivalent first-order solutions obtained from the same previously published data. It is concluded that the nature of the solutions found is more a function of the number of factors rotated than of the level at which rotation takes place, even in the virtually untrodden realms of fourth-order analys
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Akanksha Upadhyaya and Bhajneet Kaur. "Exploring Electronic Payment System Acceptibility Determinants: A Consumer Outlook." Journal on Today's Ideas - Tomorrow's Technologies 6, no. 1 (2018): 21–27. http://dx.doi.org/10.15415/jotitt.2018.61002.

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The aim of this research paper is to explore the electronic payment system (EPS) acceptability determinants, from the consumer perspective. Exploratory factor analysis has been used to explore the factors based on different statements. The study has been conducted in North-West region of Delhi. Data has been collected from male-female of different age groups by using the questionnaire tool of data collection. For extraction of factors Principal component analyses and Varimax with Kaiser Normalization rotation method was used. The rotated component matrix shows best fitting of items to form a f
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Zarnowski, Robert, Makoto Miyazaki, Agnieszka Dobrzyn, James M. Ntambi, and Jon P. Woods. "Typing of Histoplasma capsulatum strains by fatty acid profile analysis." Journal of Medical Microbiology 56, no. 6 (2007): 788–97. http://dx.doi.org/10.1099/jmm.0.47067-0.

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The performance of fatty acid profiling for strain differentiation of Histoplasma capsulatum was assessed. Total fatty acids were isolated from the yeast-phase cells of seven stock and two previously unreported clinical strains of H. capsulatum var. capsulatum, as well as from one unreported clinical strain and one stock strain of H. capsulatum var. duboisii, and one strain of each of three other dimorphic zoopathogenic fungal species, Blastomyces dermatitidis, Paracoccidioides brasiliensis and Sporothrix schenckii. Different colony morphology and pigmentation types of the H. capsulatum strain
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Haruna, Rabiu, and Yusri Bin Kamin. "Factor Analysis of the Challenges and Strategies for Effective Work-Based Learning in Nigerian Technical and Vocational Education." Jurnal Pendidikan Teknologi dan Kejuruan 25, no. 1 (2019): 21–30. http://dx.doi.org/10.21831/jptk.v25i1.21743.

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This study investigated challenges and strategies for effective work-based learning in Nigerian technical and vocational education (TVE) using a factor analysis approach. Through the use of structured questionnaire, the opinions of 385 respondents consisting of 227 TVE lecturers and 158 supervisors of technical and vocational firms were sought. The data collected were analyzed using descriptive statistics and varimax rotated principal component factor analysis with factor loading of 0.40. The result showed that about 25% of the TVE firms in Northwest Nigeria are industrial technical firms, 22%
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Dissertations / Theses on the topic "Varimax Rotated Principal Component Analysis"

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Schlaerth, Hannah L. "Remote Sensing of Water Quality Parameters Influencing Coral Reef Health, U.S. Virgin Islands." Kent State University Honors College / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ksuhonors1525710103251186.

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Books on the topic "Varimax Rotated Principal Component Analysis"

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Eder, B. K. The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis. U.S. Environmental Protection Agency, 1992.

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Eder, B. K. The spatial and temporal analysis of non-urban ozone concentrations over the eastern United States using rotated principal component analysis. U.S. Environmental Protection Agency, 1992.

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Book chapters on the topic "Varimax Rotated Principal Component Analysis"

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Grimes, Alexandria, and Andrew E. Mercer. "Diagnosing Tropical Cyclone Rapid Intensification Through Rotated Principal Component Analysis of Synoptic-Scale Diagnostic Fields." In Recent Developments in Tropical Cyclone Dynamics, Prediction, and Detection. InTech, 2016. http://dx.doi.org/10.5772/63988.

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Osler II, James Edward, and Mahmud A. Mansaray. "Educational Technology Assessment." In Handbook of Research on Educational Technology Integration and Active Learning. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8363-1.ch011.

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In this chapter a digital assessment and an associated novel mathematical statistical model are provided as online psychometrics designed to evaluate College and University courses. The psychometric evaluation tool is a Student Ratings of Instruction [SRI] instrument used at a Historically Black College and University [HBCU] for course evaluation purposes. The research methodology is an a posteriori post hoc investigation that examines the reliability and validity of the items used in the SRI instrument. The sample under analysis consisted of the responses to 56,451 total items extracted from 7,919 distributed Student Ratings Instruments delivered online during the 2012 academic year. The post hoc application of the novel Tri–Squared Test analysis methodology is used to intricately analyze the results of an earlier study on SRIs that yielded strong construct validity from Cronbach's Alpha Reliability Model, Goodman & Kruskal's Lambda, and Principal Component Factor Analysis with Varimax Rotation.
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González Martínez, Rocío, Martha Ríos-Manríquez, and Ana Laura Arteaga Cervantes. "The Entrepreneurial Intention in University Level Students." In Global Considerations in Entrepreneurship Education and Training. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7675-4.ch008.

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Universities impact in the entrepreneurship ecosystem, they emanate a large number of talents, using their resources to support entrepreneurship. From this situation, arrives the importance of generating and validating measurement instruments to contribute to the identification of level of entrepreneurial intention with which students, of higher education level, have. The Exploratory Factor Analysis technique, uses the Varimax Orthogonal Rotation method, with principal component extraction factors, with a sample of 235 students in public universities of the state of Guanajuato in Mexico, considering 6 dimensions as variables. The results of this research consider as relevant only 3 dimensions from the 6 studied, considering that the entrepreneurial intention in the higher education student is a product of creativity, innovation and need for achievement. While the three dimensions: self-esteem, assumption of risk and problem solving, does not reach a relevant importance; showing a robust instrument for the Mexican context.
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Levy, Yair, and Theon L. Danet. "Implementation Success Model in Government Agencies." In Advancing the Service Sector with Evolving Technologies. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0044-7.ch007.

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A recent presidential directive mandated that all U.S. government agencies establish a centralized identification system. This study investigated the impact of users’ involvement, resistance, and computer self-efficacy on the implementation success of a centralized identification system. Information System (IS) usage was the construct employed to measure IS implementation success. A survey instrument was developed based on existing measures from key IS literature. The results of this study indicated a strong reliability for the measures of all constructs (user involvement, computer self-efficacy, user’s resistance, and IS usage). Factor analysis was conducted using Principal Component Analysis (PCA) with Varimax rotation. Results of the PCA indicate that items of the constructs measured had high validity, while Cronbach’s Alpha for each factor demonstrates high reliability for all constructs measured. Additionally, results of a structural equations modeling analysis using Partial Least Square (PLS) indicate that computer self-efficacy and user involvement had positive significant impact on the implementation success. However, the results also demonstrated that user’s resistance had no significant impact on IS usage, while end user involvement had a strong negative impact on user’s resistance.
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Conference papers on the topic "Varimax Rotated Principal Component Analysis"

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Xu, Faqiang, Xiaoxia Wan, and Yuanhong Zhu. "Color component prediction in multispectral space based on rotated principal component analysis." In International Symposium on Multispectral Image Processing and Pattern Recognition, edited by Henri Maître, Hong Sun, Jianguo Liu, and Enmin Song. SPIE, 2007. http://dx.doi.org/10.1117/12.748745.

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LeDuc, Sharon K., Brian K. Eder, and Lawrence Truppi. "Spatiotemporal variability of total column ozone derived from TOMS using rotated principal component analysis." In Satellite Remote Sensing II, edited by Richard P. Santer. SPIE, 1995. http://dx.doi.org/10.1117/12.228537.

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Khaled, Nassim, and Ahmad Smaili. "Curve Representation Using Principal Component Analysis for Shape Optimization of Path Generating Mechanisms." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85247.

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The focus of this paper is on the synthesis of path generation mechanisms based on shape optimization. The principle component analysis (PCA) technique used in image processing is employed to represent the desired coupler curve of the mechanism and simulated annealing is used as the optimization tool. PCA representation is invariant under rotation, translation, scaling, and starting point. Once a shape-optimized mechanism is found, it is translated, rotated, and scaled to its final form. An illustrative example is introduced to demonstrate the proposed method.
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Greškovičová, Katarína, Barbora Zdechovanová, and Rebeka Farkašová. "PSYCHOMETRIC ANALYSIS OF THE SLOVAK VERSION OF THE POSTPARTUM BONDING QUESTIONNAIRE FOR NON-CLINICAL SAMPLE." In International Psychological Applications Conference and Trends. inScience Press, 2021. http://dx.doi.org/10.36315/2021inpact058.

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"Bonding represents an emotional tie that one experiences towards one´s own child. There are several instruments to measure the level and quality of bonding. Among them we chose and translated the Postpartum Bonding Questionnaire by Brockington et al. (2001) into Slovak language. The aim of this study was to analyse its psychometric qualities. Our non-clinical sample consisted of women (N= 372) 18 and 44 years (M= 29.74; SD= 5.25) who recently gave birth in Slovakian hospitals. Data collection was carried out from September 2015 until March 2018. Participants filled the Postpartum bonding ques
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