{"id":810,"date":"2013-01-08T11:10:36","date_gmt":"2013-01-08T12:10:36","guid":{"rendered":"http:\/\/sites.uac.pt\/amendes\/?p=810"},"modified":"2013-01-08T11:47:05","modified_gmt":"2013-01-08T12:47:05","slug":"components-map-test","status":"publish","type":"post","link":"https:\/\/sites.uac.pt\/amendes\/visualizacao\/components-map-test\/","title":{"rendered":"Determining the Number of Components and Factors Using Parallel Analysis and Velicer’s MAP Test"},"content":{"rendered":"
\"Softwere<\/a>

Softwere para an\u00e1lise do n\u00ba de componentes em ACP e AF<\/p><\/div>\n

Popular statistical software packages do not have the proper procedures for determining the number of components or factors in correlation matrices. Parallel analysis and Velicer’s minimum average partial (MAP) test are validated procedures that are widely recommended by statisticians. This paper described brief and efficient programs for conducting parallel analyses and the MAP test using SPSS, SAS, and MATLAB.<\/span><\/p>\n

<\/p>\n

\"M\u00e9todos<\/a>

M\u00e9todos para facilitar a interpreta\u00e7\u00e3o da AFE<\/p><\/div>\n

<\/span><\/p>\n

Scale development using popular statistical software packages often produces results that are baffling or misunderstood by many users, which can lead to inappropriate substantive interpretations and item selection decisions. High internal consistencies do not indicate unidimensionality; item-total correlations are inflated because each item is correlated with its own error as well as the common variance among items; and the default number-of-eigenvalues-greater-than-one rule, followed by principal components analysis and varimax rotation, produces inflated loadings and the possible appearance of numerous uncorrelated factors for items that measure the same construct (Gorsuch, 1997a, 1997b). Concerned investigators may then neglect the higher order general factor in their data as they use misleading statistical output to trim items and fashion unidimensional scales. <\/span><\/p>\n

These problems can be circumvented in exploratory factor analysis by using more appropriate factor analytic procedures and by using extension analysis as the basis for adding items to scales. Extension analysis provides correlations between nonfactored items and the factors that exist in a set of core items. The extension item correlations are then used to decide which factor, if any, a prospective item belongs to. The decisions are unbiased because factors are defined without being influenced by the extension items. One can also examine correlations between extension items and any higher order factor(s) in the core items. The end result is a comprehensive, undisturbed, and informative picture of the correlational structure that exists in a set of core items and of the potential contribution and location of additional items to the structure. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Popular statistical software packages do not have the proper procedures for determining the number of components or factors in correlation matrices. Parallel analysis and Velicer’s minimum average partial (MAP) test are validated procedures that are widely recommended by statisticians. This paper described brief and efficient programs for conducting parallel analyses and the MAP test using […]<\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[102,137,80],"tags":[74,134,155,153,126,157],"class_list":["post-810","post","type-post","status-publish","format-standard","hentry","category-estatistica","category-software","category-visualizacao","tag-analise-de-dados","tag-captura-de-conhecimento","tag-apoio-a-decisao-medica","tag-desnvolvimento-de-software","tag-pasw-statistics","tag-software-estatistica"],"_links":{"self":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/810","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/comments?post=810"}],"version-history":[{"count":3,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/810\/revisions"}],"predecessor-version":[{"id":813,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/posts\/810\/revisions\/813"}],"wp:attachment":[{"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/media?parent=810"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/categories?post=810"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.uac.pt\/amendes\/wp-json\/wp\/v2\/tags?post=810"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}