Chapter 8 - Bivariate correlation research

Question 1

What is a bivariate correlation?

Answer 1

An association between 2 variables

Question 2

What can a bivariate be?

Answer 2

Negative, neutral, positive

Quantitative or categorical

Represented graphically in a scatter plot or histogram

Question 3

What is used in a bivariate when it is categorical?

Answer 3

Group averages

Question 4

What are the 3 types of validity that are important in association claims?

Answer 4

Construct validity

Statistical validity

Question 5

Construct validity

Answer 5

How well is each variable measured?

Question 6

Statistical validity

Answer 6

How well does the data support the conclusion?

Question 7

What are various aspects that can be examined for statistical validity?

Answer 7

Effect size

‘Is the correlation statistically significant?

What about outliers?

Is there a restriction of range?

Is the association perhaps curve linear?

Question 8

Effect size

Answer 8

Describes the strength of a relationship between two arm ore variables

Question 9

Restriction of range

Answer 9

This means that part of the score has been shortened

There is restriction on the range of the variables, as a result of which the correlation may appear smaller than it actually is

Question 10

Curve linear

Answer 10

Is it possible that a curve fits the relationship better than the linear regression line?

Question 11

The third variable

Answer 11

Is the coal variation caused by the third variable or not?

This would be an internal problem

Question 12

What are the 3 requirements for causality?

Answer 12

Covariance

Temporal precedence

Internal validity

Question 13

Covariance

Answer 13

There is a correlation/relationship between the two variables

Question 14

Temporal precedence

Answer 14

The causal variable comes before the effect variable

SO the correlation only works in one direction

Question 15

Internal validity

Answer 15

There are no possible alternative explanations