Flashcards in W7 Deck (34):

1

## correlation

###
tests the degree and direction of 2 variables

r = correlation

1 = positive correlation

0 = zero correlation

-1 = negative correlation

2

## pearsons r

### calculates the strength of 2 continuous variables, value between -1 and 1

3

## p value in pearsons r

### the probability that the correlation is really zero in the population

4

## linear regression

### tests the degree, direction and numeric relationship between two variables

5

## regression line equation

###
y = a + bx

y= dependent variable

a = intercept

b = slope of line

x = independent variable

6

## r2

### pearsons r squared

7

## causality

### the relationship between cause and effect

8

## linear regression assumptions

###
sample size of over 50

normality (histograms)

residual error should not increase/ decrease with every change in x (scatterplot)

removal of outliers

variables share linear relationship

homogeneity of residuals

9

## multiple regression

### tests the degree, direction and numeric relationship between one variable and several independent variables

10

## multiple regression equation

### y = a + b1x + b2x + b3x

11

## variables in correlation

### 2 continuous

12

## variables in simple linear regression

### 2 continuous

13

## variables in multiple linear regression

### 1 continuous, several independent

14

## skewness and kurtosis is only a problem is outside...

### -1 and 1

15

## cross tabulation and chi-square

### tests whether the count in one category is higher then in another

16

## variables in chi-square

### 2 categorical with 2 independent categories

17

## assumptions of chi-square

### 5+ counts in each category

18

## what is sig.

### p value

19

## what is df

### degrees of freedom

20

## what do you do if the p value is less then the chosen significance level

### reject the null hypothesis

21

## independent samples t-test

### whether the mean scores on one variable differ between two groups at significant levels

22

## variables in independent samples t-test

### 1 categorical (two groups), 1 continuous

23

## assumptions of independent samples t-test

###
normally distributed

homogeneous variables (use Levenes test - large p value)

24

## what is the f. statistic

### the outcome of Levenes test

25

## what is t

### the computed test statistic

26

## what is the mean difference

### the difference between the sample means

27

## what happens if the confidence interval contains a 0

### the results are not significant

28

## paired samples t-test

### analyzes the mean score on a single variable differs before and after intervention

29

## variables in paired samples t-test

### 2 continuous (taken at different times)

30

## assumptions of paired samples t-test

### normally distributed

31

## ANOVA

### analyzes whether the mean score on a single variable differs between 3+ variables

32

## variables for ANOVA

### 1 continuous, 1 categorical (3+ levels)

33

## assumptions for ANOVA

###
independence

normality

sample size +80

34