ANOVA ONEWAY AND FACTORIAL (TWOWAY, R.M, ANCOVA) Flashcards

1
Q

When do we use ANOVA?

A
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2
Q

Within group ANOVA

A

Error

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3
Q

Between group ANOVA

A

Effect

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4
Q

F test ANOVA

A

Si F es muy superior a la unidad, las varianzas comparadas difieren y se rechazará la hipótesis nula

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5
Q

ANOVA IN STATA

A
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6
Q

Total SS and df in ANOVA

A
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7
Q

Assumptions so as to use ANOVA

A
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8
Q

anova allows to save the residuals if after anova you use the command:
predict myresiduals, res

A
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9
Q

What can we see?

A

Normality test for residuals in ANOVA

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10
Q

When do we use Kruskal-Wallis?

A
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11
Q

Kruskal-Wallis, ¿qué observamos?

A
  1. Estamos haciendo un cambio.
  2. Vemos que residuals no cumplen normalidad y no hay homogeneidad (Bartlett).

DEFINITIVAMENTE, USAMOS KRUSKAL WALLIS

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12
Q

KRUSKAL-WALLIS PROCEDURE

A
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13
Q

KRUSKAL-WALLIS IN STATA

A
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14
Q

BONFERRONI: post hoc penalization

A
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15
Q

BONFERRONI: post hoc penalization with our partial

A
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16
Q

Sidak multiple testing method (post hoc)

A
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17
Q

Scheffe multiple testing method (post hoc)

18
Q

A PRIORI ORTHOGONAL TEST FOR MULTIPLE TESTING

19
Q

Contrasts in multiple testing

20
Q

Procedimiento Benjamin-Hochberg para controlar FDR en múltiple testing

21
Q

Método de Bejamin-Hochberg

22
Q

FDR IN STATA

23
Q

REPASO STATA ANOVA

24
Q

TWO-WAY BALANCED ANOVA

A

Identical Sd and n in each cell

25
Q

TWO-WAY ANOVA BALANCED DESIGN EJERCICIO TIPO EXAMEN

26
Q

TWO-WAY ANOVA EXERCISE WITH INTERACTION

27
Q

When we have interaction, we split sample size

28
Q

Testing for interaction in a TWO-WAY ANOVA

A

Recordar que los DF en interaction se sacan multiplicando los DF de las variables independientes

29
Q

TWO-WAY ANOVA WITH INTERACTION

30
Q

ESQUEMA GENERAL SS DISTRIBUTIONS

31
Q

ESQUEMA DE VARIABILIDADES RESIDUALES

32
Q

PRIMER PASO EN REPEATED MEASURES ANOVA

A

Reshape to long format

33
Q

STATA PARA REPEATED MEASURES ANOVA, después de haber pasado a long format

34
Q

DF en test de ANOVA for repeated measures

35
Q

Sphericity in ANOVA for repeated measures

36
Q

ANOVA FOR REPEATED MEASURES

37
Q

ANOVA FOR REPEATED MEASURES ASSUMPTIONS

38
Q

What method are we using?

39
Q

ANCOVA IN STATA

A

We use margins to obtain now the adjusted means

40
Q

Linear regression

41
Q

SIMPLE LINEAR REGRESSION STATA