Pearson r / Spearman rho

Question 1

Quantitatively expresses the extent to which two variables are related.

Answer 1

Pearson r

Question 2

Measure of the strength and direction of association that exists between two variables measured as scale variables (ratio or interval).

Answer 2

Pearson r

Question 3

T or F| Spearman rho tells us 2 things:
1. The direction of the relationsh Application in research…ip between the X & Y (positive or negative; linearity)

2. The strength of the relationship between the X
   & Y (strong, moderate or weak)

Answer 3

F

Question 4

T or F| Pearson’s r tells us 2 things:
1. The direction of the relationsh Application in research…ip between the X & Y (positive or negative; linearity)
2. The strength of the relationship between the X
& Y (strong, moderate or weak)

Answer 4

T

Question 5

The main result of a correlation is called

Answer 5

Correlation Coefficient (r)

Question 6

Correlation Coefficient (r) ranges from?

Answer 6

It ranges from -1 to +1.

Question 7

T or F| In Pearson r, the closer r is to +1 or -1, the more closely the two variables are related.

Answer 7

T

Question 8

If r = +1, then it denotes?

Answer 8

Perfect positive correlation

Question 9

If r = -1, then it denotes?

Answer 9

Perfect negative correlation

Question 10

r = 0 means?

Answer 10

There is no correlation

Question 11

If r is positive, it means that as one variable gets larger the other gets ____

Answer 11

larger

Question 12

If r is negative, it means that as one variable gets larger, the other gets ____

Answer 12

smaller

Question 13

If r is negative, it means that as one variable gets larger, the other gets smaller -often called an

Answer 13

‘inverse correlation’

Question 14

Very Weak

Answer 14

0.00-0.19

Question 15

Weak

Answer 15

0.20-0.39

Question 16

Moderate

Answer 16

0.40-0.59

Question 17

Strong

Answer 17

0.60-0.79

Question 18

Very strong

Answer 18

0.80-1.00

Question 19

The variables must be either interval or ratio measurement

Answer 19

Pearson r

Question 20

The data must be approximately normally distributed.

Answer 20

Pearson r

Question 21

There is a linear relationship between the two variables.

Answer 21

Pearson r

Question 22

Outliers are either kept to a minimum or are remove entirely.

Answer 22

Pearson r

Question 23

There is homoscedasticity of the data.

Answer 23

Pearson r

Question 24

Test for normality: sample size is less than 50

Answer 24

Shapiro-Wilk test

Question 25

Test for normality: sample size is greater than 50

Answer 25

Kolmogorov-Smirnov test

Question 26

a test for homogeneity/ homoscedasticity of variances.

Answer 26

Levene’s test

Question 27

It is the nonparametric version of the Pearson product-moment correlation.

Answer 27

Spearman rho

Question 28

Spearman's correlation coefficient p measures the strength and direction and association between _____________

Answer 28

two ranked variables

Question 29

parametric test of difference between two groups.

Answer 29

T test

Question 30

In t test the _____ are being compared between the two groups

Answer 30

Means

Question 31

Two types of t tests

Answer 31

1. t-test for independent samples 2. †-test for correlated/dependent samples

Question 32

test of difference between two independent groups

Answer 32

t-test for independent samples

Question 33

test of difference between correlated/dependent samples or one group of samples.

Answer 33

t-test for correlated samples

Question 34

Your dependent variable should be measured on a continuous scale (i.e., it is measured at the interval or ratio level).

Answer 34

T test

Question 35

In T test: _____ should consist of two categorical, independent groups.

Answer 35

Independent variable

Question 36

There should be no significant outliers.

Answer 36

T test

Question 37

In t test: ______ should be approximately normally distributed for each group of the independent variable

Answer 37

Dependent variable

Question 38

Also known as t-test for correlated samples

Answer 38

t-test for Dependent/Correlated Samples

Question 39

A test of difference between correlated samples or one group of samples

Answer 39

t-test for Dependent/Correlated Samples

Question 40

Your independent variable should consist of two categorical, 'related groups" or "matched pairs".

Answer 40

T test (dependent)

Question 41

indicates that the same subjects are present in both groups.

Answer 41

Related groups

Question 42

The distribution of the differences in the dependent variable between the two related groups should be approximately normally distributed.

Answer 42

t-test for Dependent/Correlated Samples

Question 43

Used when we want to predict the value of a variable based on the value of another variable.

Answer 43

Simple Linear Regression

Question 44

The variable we want to predict is

Answer 44

dependent variable (y) Outcome variable

Question 45

The variable we are using to predict the other variable's value is called

Answer 45

independent variable (x) Predictor variable

Question 46

finds the best straight line for describing the relationship between two variables.

Answer 46

Simple linear regression

Question 47

Your data needs to show homoscedasticity.

Answer 47

Simple linear regression

Question 48

mathematical equation used to predict the values of one dependent variable from known values of one or more independent variables.

Answer 48

Regression equation

Question 49

y intercept

Answer 49

a

Question 50

Slope of the line

Answer 50

b

Question 51

extension of simple linear regression.

Answer 51

Multiple linear regression

Question 52

The multiple regression analysis is used to predict the dependent variable Y given the

Answer 52

Independent variables Xs

Question 53

used when we want to predict the value of a variable based on the value of two or more other variables.

Answer 53

Multiple Linear Regression

Question 54

Dependent variable also called as

Answer 54

target or criterion variable

Question 55

The variables we are using to predict the value of the dependent variable are called the independent variables or sometimes

Answer 55

predictor or explanatory variables