Lecture 5

Question 1

What type of research is described when we analyze data that was collected through self-report surveys or interviews?

Answer 1

Survey research

Question 2

Most correlational research is what?

Answer 2

Survey/self-report

Question 3

What is it called when survey participants don’t answer questions truthfully?

Answer 3

Response sets

Question 4

How do you control for response sets?

Answer 4

Anonymous data collection
Lie scales
Negative wording/reverse coding

Question 5

What are the percentages of surveys/questionnaires that are successfully completed and returned?

Answer 5

Response Rates

Question 6

In response rates what is considered good?

Answer 6

60%

Question 7

In response rates what is considered inadequate?

Answer 7

Less than 50%

Question 8

Low response rates suggest what?

Answer 8

Sample isn’t representative of all persons in that population

Question 9

What are follow ups of non respondents that’s used to increase initial response rate?

Answer 9

Second wave contacts

Question 10

What are a few pros of interviews?

Answer 10

probing
high response rates
explanations given

Question 11

What are a few cons of interviews?

Answer 11

expensive
takes longer
train people

Question 12

What are a few pros of written surveys?

Answer 12

large samples

quick and easy

Question 13

What are a few cons of written surveys?

Answer 13

no probing
less serious responses
limitations in generalizing

Question 14

What does linear regression allow us to do?

Answer 14

Predict one variable from another

Question 15

What is the equation for linear regression?

Answer 15

y=bX+a
y=predicted score( Dependent variable)
b=slope
X=predictor variable score (Independent Variable)
a=Y intercept

Question 16

When doing a scatterplot for regression where should X and Y be?

Answer 16

Predicted on Y (Dependent variable)

Predictor on X (Independent variable)

Question 17

What is the number that SPSS prints when it calculates a regression equation?

Answer 17

Standard Error of Estimate

Question 18

The standard error of estimate indicates what?

Answer 18

how different the Y scores we predict with the equation will be from the person’s actual score for Y.

Question 19

The higher the r of r2 the better the what?

Answer 19

prediction will be and lower standard error of estimate will be.

Question 20

What are the assumptions in linear regression?

Answer 20

Linearity
Normality
Homoscedastivity