Flashcards in Stats Deck (31):

1

## Nominal 1 IV - 2+ indep groups

### Chi square

2

##
>1 nom IV, 2+ indep grps per

### Multiple sample chi-square

3

## 1+ nom IV, 2+ CORR grps per

### McNemar

4

##
1 IV & 1 DV - Interval or ratio data:

1 indep group

2 indep group

###
1 - t test single sample

2 - t test independent samples

5

##
1 IV & 1 DV - Ordinal data

1 indep group -

2 indep group -

###
1 - kolmogorov (single vodka)

2 - Mann-Whitney (indep man) or median test or Kolmogorov-smirnov (double vodka)

6

##
1 IV & 1 DV - interval/ratio

2 correlated groups

### T test matched samples

7

##
1 IV & 1 DV - Ordinal Data

2 correlated groups

###
Wilcoxon (sign rank) or sign test

(Ordinal oxen matches rank)

8

##
1 IV & 1 DV - interval/ratio

>2 correlated groups

### One way repeated meas Anova

9

##
1 IV & 1 DV - Ordinal

>2 correlated groups

### Friedman

10

##
1 IV & 1 DV - interval/ratio

>2 indep groups

### One way ANOVA

11

##
1 IV & 1 DV - Ordinal

>2 indep groups

### Kruskall Wallis

12

##
2 IV

2+ groups per IV

All independent

### 2 way ANOVA

13

##
2 IV

2+ groups per IV

One IV w corr groups,

Other w indep groups

###
Split plot ANOVA or

mixed ANOVA

14

##
2 IV

2+ groups per IV

Both IVs w corr groups

### Repeated measures factorial ANOVA

15

##
2 IV

2+ groups per IV

One IV blocked,

indep groups

### Randomized block ANOVA

16

##
2 IV

2+ groups per IV

W covariate, indep/corr groups

### Ancova

17

##
>1 DV

2+ groups per IV

Indep and corr groups

### Manova - multivariate ANOVA

18

## The coefficient of determination

###
% of variability in Y shared/accounted for by X.

Generated by squaring the correlation coefficient.

19

## Line of best fit

### pred line through scatter plot; made from least squares criterion. Y = a + bX (performance = y-intercept + slope(yrsEdu)

20

## Assumptions of bivariate correlations

### a. linear relationship b. homoscedasticity (consistent spread) c. unrestricted range

21

## Correlation co-eff: X, Y = int/ratio

### Pearson r

22

## Correlation co-eff: X, Y = ordinal

### spearman's rho / Kendall's Tau

23

## Correlation co-eff: X = int/ratio, Y = true dichotomy

### point-biserial

24

## Correlation co-eff: X = int/ratio, Y = artificial dichotomy

### Biserial

25

## Correlation co-eff: X, Y = true dichotomy

### Phi

26

## Correlation co-eff: X, Y = artificial dichotomies

### Tetrachoric

27

## Correlation co-eff: XY = curviliniar relationship

### Eta

28

## Slope and beta values

### "b" values can be standardized partial slopes; "b" used when comparing variables btw studies or samples, but beta only compares within a study/sample.

29

## Discriminant function analysis

### Used when Y is nominal (not interv/ratio; allows prediction of membership based on kwg of a set of predictor variables: likelihood of passing EPPP based on time spent studying and practice tests completed.

30

## Logit

### Loglinear analysis: predict category based on categorical var(s). [b/g pred pass/fail]

31