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{"id":3946,"date":"2019-09-25T08:00:47","date_gmt":"2019-09-25T11:00:47","guid":{"rendered":"https:\/\/site.statplace.com.br\/?p=3946"},"modified":"2024-10-08T12:43:06","modified_gmt":"2024-10-08T12:43:06","slug":"analise-fatorial","status":"publish","type":"post","link":"https:\/\/site.statplace.com.br\/blog\/analise-fatorial\/","title":{"rendered":"An\u00e1lise Fatorial: uma importante t\u00e9cnica multivariada"},"content":{"rendered":"\n
Artigo desenvolvido com a colabora\u00e7\u00e3o de Luiz Henrique Carvalho<\/p>\n\n\n\n
Nesse artigo vamos tratar sobre an\u00e1lise fatorial, uma importante t\u00e9cnica de an\u00e1lise multivariada.<\/p>\n\n\n\n
Quando se estuda um assunto buscando ampliar o entendimento sobre o mesmo, muitas vezes \u00e9 necess\u00e1rio que sejam levadas em considera\u00e7\u00e3o muitas vari\u00e1veis. Isso serve para estudar tanto o estado de sa\u00fade de enfermos, quanto o desempenho comercial de uma empresa.<\/p>\n\n\n\n
As t\u00e9cnicas de an\u00e1lise multivariada s\u00e3o muito utilizadas por causa da sua contribui\u00e7\u00e3o na forma\u00e7\u00e3o do conhecimento. Em geral, todas t\u00e9cnicas de an\u00e1lise estat\u00edstica que avaliam simultaneamente m\u00faltiplas medidas sobre o objeto de investiga\u00e7\u00e3o podem ser consideradas como uma an\u00e1lise multivariada .<\/p>\n\n\n\n
Mas como entender e analisar a rela\u00e7\u00e3o existente entre essas m\u00faltiplas vari\u00e1veis? A an\u00e1lise fatorial \u00e9 uma boa t\u00e9cnica para se estudar essas inter-rela\u00e7\u00f5es.<\/p>\n\n\n\n<\/figure>\n\n\n\n
O que \u00e9 a An\u00e1lise Fatorial?<\/h2>\n\n\n\n
Em uma pesquisa, quanto mais vari\u00e1veis s\u00e3o utilizadas, mais elas tendem a estar correlacionadas entre si. Nesses casos o pesquisador precisa ir em busca de meios para gerenciar essas vari\u00e1veis, agrupando-as ou criando uma nova medida que seja capaz de representar um conjunto dessas vari\u00e1veis.<\/p>\n\n\n\n
A an\u00e1lise fatorial \u00e9 uma t\u00e9cnica estat\u00edstica explorat\u00f3ria que permite realizar esse trabalho. Ela procura definir, em um estudo com muitas vari\u00e1veis, conjuntos de vari\u00e1veis altamente correlacionadas, conhecidos como fatores<\/strong>. Os fatores t\u00eam o objetivo de resumir as diversas vari\u00e1veis em um conjunto menor de dimens\u00f5es com uma perda m\u00ednima de informa\u00e7\u00e3o<\/strong>.<\/p>\n\n\n\n