{"id":215,"date":"2015-06-23T14:56:48","date_gmt":"2015-06-23T14:56:48","guid":{"rendered":"http:\/\/helenumblog.ismt.pt\/?page_id=215"},"modified":"2017-09-25T18:06:21","modified_gmt":"2017-09-25T18:06:21","slug":"estatistica","status":"publish","type":"page","link":"https:\/\/helenumblog.ismt.pt\/index.php\/estatistica\/","title":{"rendered":"Orienta\u00e7\u00f5es – Estat\u00edstica"},"content":{"rendered":"

 <\/p>\n\n\n\n\n\n
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INTRODU\u00c7\u00c3O<\/a>
\n<\/span><\/p>\n<\/td>\n<\/tr>\n

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ESTAT\u00cdSTICA<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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TRABALHAR COM O SPSS<\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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TRABALHAR OS\u00a0DADOS<\/b><\/span><\/p>\n<\/td>\n<\/tr>\n

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Introdu\u00e7\u00e3o b\u00e1sica <\/a>1<\/span><\/p>\n<\/td>\n

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Introdu\u00e7\u00e3o 2 \u00a0<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Introdu\u00e7\u00e3o \u00e0s sintaxes <\/a>1<\/span><\/p>\n<\/td>\n

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Sintaxes 2\u00a0 <\/a>\u00a0 e\u00a0 \u00a0 sintaxes 3<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Criar uma base no Excel para o SPSS<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Importa\u00e7\u00e3o dos dados para o SPSS<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Vari\u00e1veis e valores das categorias<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Criar uma vari\u00e1vel ID\u00a0 com inser\u00e7\u00e3o autom\u00e1tica de valores (via menu ou sintaxe)<\/a>*<\/span><\/p>\n<\/td>\n<\/tr>\n

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Selecionar casos<\/a> 1<\/span><\/p>\n<\/td>\n

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\u00a0Selecionar casos 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Selecionar casos: datas e horas<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Transpor casos <\/a>1<\/span><\/p>\n<\/td>\n

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Transpor casos 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Histograma e tabela de frequ\u00eancias 1\u00a0<\/a><\/span><\/p>\n<\/td>\n

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histograma 2<\/a>\u00a0 \u00a0 e\u00a0 \u00a0 histograma 3<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Diagramas de dispers\u00e3o<\/a>\u00a0 1 \u00a0<\/a><\/span><\/p>\n<\/td>\n

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diagramas 2<\/span><\/p>\n<\/td>\n<\/tr>\n

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Lidar com valores ausentes (missings)<\/a><\/span><\/p>\n<\/td>\n

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\u00a0e como substitu\u00ed-los 1<\/a>\u00a0 \u00a0 e\u00a0 \u00a0 ausentes 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Lidar com valores extremos <\/a>1 \u00a0 \u00a0 extremos 2 \u00a0<\/a><\/span><\/p>\n<\/td>\n

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extremos 3<\/a>\u00a0 \u00a0 e\u00a0 \u00a0 extremos 4<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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A forma correta de detectar valores extremos (outliers) <\/a>1 outliers 2<\/a> \u00a0 \u00a0 e \u00a0 \u00a0 outliers 3<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Dividir um ficheiro<\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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For\u00e7ar a sa\u00edda de resultados (output) do SPSS a caber numa p\u00e1gina<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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C\u00c1LCULOS\u00a0PR\u00c9VIOS
\n<\/b><\/span><\/p>\n<\/td>\n<\/tr>\n

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Calculadora do tamanho da amostra online<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Testar normalidade<\/a> 1 \u00a0<\/a> \u00a0 Normalidade 2\u00a0<\/a><\/span><\/p>\n<\/td>\n

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calculadora online (extra ao SPSS)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Kurtosis (Achatamento) <\/a>1 \u00a0 \u00a0 kurtosis 2<\/a><\/span><\/p>\n<\/td>\n

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\u00a0Skewness (Assimetria) 1<\/a> \u00a0 \u00a0 e \u00a0 \u00a0 Skewness\u00a0 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Cria\u00e7\u00e3o de pontua\u00e7\u00f5es z (m\u00e9dia 0 e DP = 1)<\/a> para medidas diferentes\u00a0 \u00a0 + \u00a0 calculadora online<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Cria\u00e7\u00e3o de pontua\u00e7\u00f5es T (m\u00e9dia de 50 e DP = 10)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Pontua\u00e7\u00f5es percentis <\/a>1\u00a0 \u00a0 \u00a0 2 \u00a0<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Coeficiente de varia\u00e7\u00e3o <\/a>1\u00a0 \u00a0 \u00a0 2\u00a0 <\/a>\u00a0 \u00a0 3 \u00a0<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Teste de Levene <\/a>1 \u00a0 \u00a0 \u00a0 2 \u00a0<\/a> \u00a0 e \u00a0 \u00a0 \u00a0 3<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Homogeneidade de vari\u00e2ncias 1<\/a> \u00a0 \u00a0 2\u00a0 <\/a>\u00a0 \u00a0 3<\/a><\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Erro padr\u00e3o de medida\u00a0 1<\/a> \u00a0 \u00a0 2<\/a>\u00a0<\/span><\/p>\n<\/td>\n

<\/td>\n<\/tr>\n
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Trabalhar com vari\u00e2ncias e tamanhos de amostra desiguais <\/a>1 \u00a0 \u00a0 e\u00a0 \u00a0 \u00a0 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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CUIDADO: M\u00e9todos diferentes para calcular m\u00e9dias<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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C\u00c1LCULOS DE\u00a0DIFEREN\u00c7AS
\n<\/b><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise de diferen\u00e7as entre percentagens<\/i><\/b><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste de percentagens (medidas repetidas)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise das tabelas de conting\u00eancia 2 x 1 (Qui-quadrado)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste de McNemar (Qui-quadrado para percentagens em medidas repetidas) <\/a>1<\/span><\/p>\n<\/td>\n<\/tr>\n

<\/td>\n\n

\u00a0McNemar\u00a0 2\u00a0<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Corre\u00e7\u00e3o de Yates<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise de diferen\u00e7as da m\u00e9dia<\/i><\/b><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste t para amostras independentes<\/a><\/span><\/p>\n<\/td>\n

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calculadora do tamanho da amostra e poder<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Melhor Calculadora online para d de Cohen \u0394 de Glass g de Hedges<\/a>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Classificador de tamanhos de efeito (Result Wacker<\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste t para amostras em pares<\/a>\u00a0 \u00a0 + \u00a0 calculadora para diferentes emparelhamentos<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste t para amostras em pares vs. Regress\u00e3o linear CAPM 1 \u00a0 <\/a>\u00a0 \u00a0 2 \u00a0<\/a> \u00a0 \u00a0 3<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste Pitman-Morgan (teste da homogeneidade de vari\u00e2ncias em amostras\u00a0 emparelhadas)<\/a>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA\u00a0 1<\/a>\u00a0 \u00a0 ANOVA\u00a0 2\u00a0 <\/a>\u00a0 e \u00a0 \u00a0 ANOVA\u00a0 3<\/a> \u00a0 \u00a0 \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Calculadora do tamanho da amostra para ANOVA<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA em vari\u00e1veis Ratio 1<\/a>\u00a0 \u00a0 \u00a0 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA de res\u00edduos vs. ANCOVA\u00a0 1<\/a> \u00a0 \u00a0 ANOVA-ANCOVA 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA linear de contraste 1<\/a> \u00a0 \u00a0 Contraste 2\u00a0 <\/a>\u00a0 Contraste\u00a0 3\u00a0 <\/a>\u00a0 Contraste\u00a0 4<\/a>\u00a0 \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA de medidas repetidas 1<\/a>\u00a0 \u00a0 \u00a0 ANOVA-R 2<\/span><\/a> \u00a0 \u00a0 ANOVA-R\u00a0 3<\/span><\/a>\u00a0 \u00a0 \u00a0 ANOVA-R 4<\/span><\/a>\u00a0 \u00a0 \u00a0 e\u00a0 \u00a0 ANOVA-R\u00a0 5<\/span><\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA de duas vias 1<\/a> \u00a0 \u00a0 ANOVA-2\u00a0 2 \u00a0 <\/span><\/a>\u00a0 ANOVA-2 \u00a0 3<\/span><\/a> \u00a0 \u00a0 ANOVA-2\u00a0 4 \u00a0 <\/span><\/a>\u00a0 ANOVA-2\u00a0 5 \u00a0 <\/span><\/a>\u00a0 ANOVA-2\u00a0 6 \u00a0 <\/span><\/a>\u00a0 \u00a0 ANOVA-2\u00a0 7<\/span><\/a>\u00a0 \u00a0 ANOVA-2 \u00a0 8<\/span><\/a> \u00a0 \u00a0 e\u00a0 \u00a0 ANOVA-2\u00a0 9<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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ANOVA de desenho misto (Split-plot) 1<\/a>\u00a0 \u00a0 \u00a0 ANOVA-split-plot\u00a0 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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ANCOVA 1<\/a> \u00a0 \u00a0 ANCOVA\u00a0 2\u00a0 \u00a0 <\/span><\/a>\u00a0 ANCOVA\u00a0 3 \u00a0 \u00a0<\/span><\/a> ANCOVA \u00a0 4\u00a0 \u00a0 <\/span><\/a>\u00a0 ANCOVA\u00a0 5 \u00a0 \u00a0<\/span><\/a> ANCOVA\u00a0 6\u00a0 \u00a0<\/span><\/a> e\u00a0 \u00a0 ANCOVA\u00a0 7<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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MANOVA\u00a0 1<\/span><\/a> \u00a0 \u00a0 MANOVA\u00a0 2 \u00a0 <\/span><\/a>\u00a0 MANOVA \u00a0 3 \u00a0 <\/span><\/a>\u00a0 MANOVA\u00a0 4 \u00a0 <\/span><\/a>\u00a0 MANOVA\u00a0 5 \u00a0 <\/span><\/a>\u00a0 MANOVA\u00a0 6<\/span><\/a> \u00a0 \u00a0 MANOVA\u00a0 7<\/span><\/a> \u00a0 \u00a0 MANOVA\u00a0 8 <\/span><\/a>\u00a0 \u00a0 e\u00a0 \u00a0 relat\u00f3rio 1<\/span><\/a> \u00a0 \u00a0 relat\u00f3rio 2<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste de Mann-Whitney 1 \u00a0 <\/a>\u00a0 \u00a0 Mann-Whitney 2<\/a> \u00a0 \u00a0<\/a> \u00a0 Mann-Whitney 3<\/a> \u00a0 \u00a0 \u00a0 e\u00a0 \u00a0 \u00a0 Mann-Whitney 4<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste de Kruskal-Wallis 1<\/a> \u00a0 \u00a0 Kruskal-Wallis 2 <\/a>\u00a0 \u00a0<\/a> Kruskal-Wallis\u00a0 3<\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste de Jonckheere de tend\u00eancias 1<\/a>\u00a0 \u00a0 \u00a0 Jonckheere 2\u00a0 \u00a0 <\/a>\u00a0 Jonckheere 3<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste da Mediana (n\u00e3o param\u00e9trico para amostras independentes) 1\u00a0<\/a> \u00a0 \u00a0 Mediana 2 \u00a0<\/span><\/a> \u00a0 Mediana\u00a0 3 \u00a0<\/span><\/a> \u00a0 Mediana 4<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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C\u00c1LCULOS\u00a0DE RELA\u00c7\u00d5ES
\n<\/b><\/span><\/p>\n<\/td>\n<\/tr>\n

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Kapa de Cohen\u00a0 1<\/a>\u00a0 \u00a0 Kapa de Cohen 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Alfa de Cronbach 1<\/a> \u00a0 \u00a0 Alfa de Cronbach 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise de Tabela de Conting\u00eancia 2 x 2 (Qui-quadrado de Pearson) <\/a>1\u00a0 \u00a0 2<\/span><\/a>\u00a0 \u00a0 + \u00a0 calculadora online<\/span><\/a>\u00a0 \u00a0 + \u00a0 outra calculadora<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es de Pearson<\/a> \u00a0 + \u00a0 calculadora do tamanho da amostra poder e intervalos<\/span><\/a>\u00a0 \u00a0 + \u00a0 tabelas com tamanhos de amostra<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Calculadora online para r<\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Classificador de tamanhos de efeito (Result Wacker)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es <\/a>– coeficientes<\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es <\/a>– valores de probabilidade<\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es – intervalos de confian\u00e7a<\/a> \u00a0 + \u00a0 calculadora online<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es ponto bi-serial<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es parciais 1<\/a>\u00a0 \u00a0 Correla\u00e7\u00f5es parciais 2<\/a>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es semi-parciais 1<\/a>\u00a0 \u00a0 Correla\u00e7\u00f5es semi-parciais 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Correla\u00e7\u00f5es de Spearman 1<\/a>\u00a0 \u00a0 Correla\u00e7\u00f5es Spearman 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Diferen\u00e7a entre duas correla\u00e7\u00f5es \u2014 calculadora online<\/a>\u00a0 Calculadora 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Tau de Kendall (correla\u00e7\u00e3o para dados ordenados)<\/a> exemplo 1<\/a> \u00a0 exemplo 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Tau de Kendall vs. Correla\u00e7\u00e3o de Spearman 1<\/a> \u00a0 \u00a0 Tau vs. Spearman 2<\/a>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Formata\u00e7\u00e3o de tabela de correla\u00e7\u00e3o em excel<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Como criar rapidamente uma matriz de correla\u00e7\u00f5es pronta para um manuscrito<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Como cortar a matriz de correla\u00e7\u00f5es (colunas \u2260 linhas)<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Multicolinearidade 1\u00a0 \u00a0 <\/a>\u00a0 Multicolinearidade 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o simples<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o linear 1<\/a>\u00a0 \u00a0 \u00a0 Linear\u00a0 2\u00a0 <\/a>\u00a0 \u00a0 Linear\u00a0 3<\/a> \u00a0 \u00a0 Linear\u00a0 4\u00a0<\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise CAMP<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o m\u00faltipla – intera\u00e7\u00e3o (media\u00e7\u00e3o) 1\u00a0 \u00a0<\/a> \u00a0 M\u00faltipla 2 \u00a0<\/span><\/a> \u00a0 M\u00faltipla 3\u00a0 <\/span><\/a>\u00a0 M\u00faltipla\u00a0 4\u00a0 <\/span><\/a>\u00a0 \u00a0 M\u00faltipla 5 \u00a0<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o m\u00faltipla<\/a> 1 \u00a0<\/a> \u00a0 M\u00faltipla\u00a0 2 \u00a0<\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o hier\u00e1rquica m\u00faltipla (por blocos) 1<\/a> \u00a0 \u00a0 Hier\u00e1rquica\u00a0 2 \u00a0<\/span><\/a> \u00a0 Hier\u00e1rquica\u00a0 3<\/span><\/a> \u00a0 e\u00a0 \u00a0 Hier\u00e1rquica\u00a0 4 \u00a0<\/span><\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Calculo da heteroscedasticidade ajustada para erros padr\u00e3o 1<\/a>\u00a0 \u00a0 \u00a0 heterocedasticidade 2<\/a> \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o Log\u00edstica\u00a0 1<\/a>\u00a0 \u00a0 Log\u00edstica\u00a0 2<\/a> \u00a0 Log\u00edstica\u00a0 3\u00a0 <\/a>\u00a0 Log\u00edstica\u00a0 4\u00a0 <\/a>\u00a0 Log\u00edstica\u00a0 5\u00a0 <\/a>\u00a0 probabilidades preditas 1<\/a> \u00a0 Probabilidades\u00a0 2<\/a> \u00a0 \u00a0 e Probabilidades \u00a0 \u00a0 3<\/a>\u00a0 \u00a0 e\u00a0 \u00a0 Pesos Beta 1<\/a>\u00a0 \u00a0 Pesos Beta\u00a0 2<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Regress\u00e3o curvil\u00ednea 1 \u00a0 <\/a>\u00a0 \u00a0 Curvil\u00ednea 2 \u00a0<\/span><\/a> \u00a0 Curvil\u00ednea 3 \u00a0<\/span><\/a> \u00a0 Curvil\u00ednea 4\u00a0 <\/span><\/a>\u00a0 \u00a0 Curvil\u00ednea 5 \u00a0<\/span><\/a> \u00a0 \u00a0 Curvil\u00ednea 6<\/span><\/a>\u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise AMOS<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise fatorial\u00a0 (AF)1<\/a> \u00a0 AF \u00a0 2<\/a> \u00a0 AF\u00a0 3<\/a> \u00a0 AF\u00a0 4<\/a>\u00a0 \u00a0 \u00a0 AF\u00a0 5<\/a> \u00a0 \u00a0 AF\u00a0 6<\/a> \u00a0 \u00a0 e\u00a0 AF\u00a0 7<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise de componentes principais\u00a0 (PCA)\u00a0 <\/a>1\u00a0 \u00a0 PCA\u00a0 2 \u00a0<\/a> \u00a0 PCA\u00a0 3\u00a0<\/a> \u00a0 e \u00a0 PCA\u00a0 4<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise Paralela (Simula\u00e7\u00e3o Monte Carlo dos valores de \u00e2ngulo para as AF ou PCA) 1<\/a> \u00a0 \u00a0 AP 2 \u00a0<\/a> \u00a0 AP 3<\/a><\/span> \u00a0 + \u00a0 calculadora online<\/a> (cria eigenvalues aleat\u00f3rios que devem servir de compara\u00e7\u00e3o aos eigenvalues obtidos na AF ou PCA e assim determinar o n\u00famero mais preciso de fatores).\u00a0 Ou esta deste site!<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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LISREL – sintaxe para acompanhar modelos e an\u00e1lises<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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C\u00c1LCULOS DE MEDIA\u00c7\u00c3O<\/b><\/span>
\n<\/span><\/p>\n

Testar se uma vari\u00e1vel (mediadora)\u00a0 explica a influ\u00eancia da vari\u00e1vel independente sobre a vari\u00e1vel dependente<\/i><\/span><\/p>\n<\/td>\n<\/tr>\n

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Teste Sobel (amostras grandes dados transformados)<\/a> e\u00a0 Outra calculadora<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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An\u00e1lise de media\u00e7\u00e3o com bootstrapping<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Modelos de media\u00e7\u00e3o para an\u00e1lise longitudinal \u2014 sintaxe<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Bootstraping para Regress\u00e3o<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Bootstrap (melhor para dados brutos e sem suposi\u00e7\u00f5es de distribui\u00e7\u00e3o)<\/span><\/p>\n<\/td>\n<\/tr>\n

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Macros do SPSS para efeitos de media\u00e7\u00e3o bootstrapp<\/a>\u00a0 \u00a0<\/span><\/p>\n<\/td>\n<\/tr>\n

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Macros do SPSS para efeitos m\u00faltiplos de media\u00e7\u00e3o bootstrapp<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Macros do SPSS para efeitos moderados de media\u00e7\u00e3o bootstrapp<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Macros do SPSS para efeitos n\u00e3o-lineares de media\u00e7\u00e3o bootstrapp<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n

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Macros do SPSS para efeitos tri-direcionais de media\u00e7\u00e3o bootstrapp<\/a><\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

  INTRODU\u00c7\u00c3O ESTAT\u00cdSTICA TRABALHAR COM O SPSS TRABALHAR OS\u00a0DADOS Introdu\u00e7\u00e3o b\u00e1sica 1 Introdu\u00e7\u00e3o 2 \u00a0 Introdu\u00e7\u00e3o \u00e0s sintaxes 1 Sintaxes 2\u00a0 \u00a0 e\u00a0 \u00a0 sintaxes 3 Criar uma base no Excel para o SPSS Importa\u00e7\u00e3o dos dados para o SPSS Vari\u00e1veis e valores das categorias Criar uma vari\u00e1vel ID\u00a0 com inser\u00e7\u00e3o autom\u00e1tica de valores (via […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-215","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/pages\/215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/comments?post=215"}],"version-history":[{"count":0,"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/pages\/215\/revisions"}],"wp:attachment":[{"href":"https:\/\/helenumblog.ismt.pt\/index.php\/wp-json\/wp\/v2\/media?parent=215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}