Chapter 14: Correlational Methods

Question 1

A graph showing the responses of a number of individuals on two variables;

A graph that shows the relationship between two variables of a number of individual cases

Visual display of correlational data

Answer 1

Scattergram

Question 2

Does it matter which variable is plotted on each axis if there are only two variables for a scatterplot?

Answer 2

No

Question 3

Do we need to know which variables are IV/DV in a scatterplot?

Answer 3

No, unless you have manipulated the variables

Question 4

statistic indicating the strength of the relationship between two variables

Answer 4

correlation coefficient

Question 5

Method to predict one variable from another (predicting the value of one variable from another based on their correlation)

Answer 5

regression

Question 6

the strength of the relationship between two variables

Answer 6

correlation

Question 7

What is the most commonly used measure of a relationship between variables

Answer 7

Pearson correlation coefficient (r), correlation

Question 8

Correlations less than 0.2 are considered?

Answer 8

weak

Question 9

Correlations between 0.2-0.4 are considered?

Answer 9

moderately weak

Question 10

Correlations between 0.4-0.6 are considered?

Answer 10

moderate

Question 11

Correlations between 0.6-0.8 are considered?

Answer 11

moderately strong

Question 12

Correlations between 0.8-1.0 are considered?

Answer 12

strong

Question 13

What does squaring the correlation coefficient achieve?

Answer 13

Variance: A measure of the proportion of the variability of y that can be accounted for by x

Question 14

degree to which data match the prediction of a regression line

Answer 14

goodness of fit

Question 15

Matrix format

Answer 15

IV are columns, DV become elements of the table