{"responseHeader":{"status":0,"QTime":33,"params":{"q":"{!q.op=AND}id:\"102813\"","hl":"true","hl.simple.post":"","hl.fragsize":"5000","fq":"!embargo_tdt:[NOW TO *]","hl.fl":"ocr_t","hl.method":"unified","wt":"json","hl.simple.pre":""}},"response":{"numFound":1,"start":0,"docs":[{"file_name_t":"Soller-Automated_Detection.pdf","thumb_s":"/23/77/2377f4f73de71d3fb77559976839640a9ec5bd7a.jpg","oldid_t":"compsci 10926","setname_s":"ir_computersa","restricted_i":0,"format_t":"application/pdf","modified_tdt":"2016-05-26T00:00:00Z","file_s":"/50/c1/50c16ef6a041f9cdf8ac11e6bf157469de18e356.pdf","title_t":"Page 56","ocr_t":"41 ple components with associated eigenvalues greater than a constant, typically 1.0, as factors. Meaningful loadings, a qualitative judgement, also contribute to the selection of the extracted factors. 8.5.3 Rotation Rotation is the process of transforming the coordinate axes of the m-dimensional factor space. Rotated factor loadings contain the correlation of the rotated factors with the observed response variables. In the case of orthogonal rotation, the resulting factors are correlated with other factors. In the case of oblique rotation, the factor loadings are simpler, but the resulting factors are correlated, not orthogonal. For subsequent application of stepwise regression and stepwise discriminant classifiers, independent factors produce better performance. For qualitative model building, oblique rotation may be performed. The method of orthogonal rotation minimizes the varimax criterion [66] [85] [86] [87], (8.11) where m is the number of factors, p is the number of variables, and ( aij) is the matrix of factor loadings. The BMDP statistical package's implementation [28] of varimax rotation terminates after the maximum number of iterations is reached or the change in G is less than a constant. 8.5.4 Factor Analysis Results and Discussion There were 333 data samples for the DRS scale items, and 35 for the MMSE scale items. For the factor analysis, this project standardized each variable, Xi, to a mean of 0.0 and a standard deviation of 1.0. The standardized values, represented as z, are calculated by [118], (Xij- Xj) Zij = s .. JJ (8.12)","id":102813,"created_tdt":"2016-05-26T00:00:00Z","parent_i":102961,"_version_":1642982670124187651}]},"highlighting":{"102813":{"ocr_t":[]}}}