spss

Question 1

When do you use correlation tests?

Answer 1

If you are interested in the degree of relationship or association between two (or more) variables

Question 2

If the date is normally distributed what correlation test is used?

Answer 2

Pearson’s

Question 3

If the date is not normally distributed what correlation test is used?

Answer 3

Spearman’s

Question 4

How do you get the Coefficient of determination(R2) in correlation testing?

Answer 4

square the correlation value

Question 5

What does The correlation value show?

Answer 5

shows the strength (i.e., small, medium, large)
and direction (i.e., positive or negative) of the relationship

Question 6

What does The ‘Sig’ value show?

Answer 6

shows if the correlation is ‘significant’ or not also known as P value.

Question 7

How do we calculate skewness and kurtosis values?

Answer 7

dividing them by their standard error (i.e. calculate ZSkewness and Zkurtosis), then assess them against the +/- 1.96 range.

Question 8

How do I perform skewness and kurtosis tests?

Answer 8

Analyse > Descriptives > Explore

Question 9

When do I use regression analysis?

Answer 9

If you are interested in establishing whether a predictor variable (simple regression), or predictor variables (multiple regression), predict a criterion variable.

Question 10

How do I conduct regression analysis when data is normally distributed?

Answer 10

Analyse > Regression > Linear

Question 11

How do I conduct regression analysis when data is not normally distributed?

Answer 11

bootstrap

Question 12

dependent?

Answer 12

(outcome/effect)

Question 13

independent?

Answer 13

(manipulated/cause)

Question 14

In a simple linear regression, how do you find the correlation value?and what does that mean?

Answer 14

referred to as ‘r’ and shown as ‘R’ in SPSS, which

demonstrates the strength (i.e., small, medium, large) and direction (i.e., positive or negative)

Question 15

In a simple linear regression, how do you find the Coefficient of determination?and what does that mean?

Answer 15

R2 and shown as ‘R Square’ in SPSS,

which demonstrates the variation in the dependent variable explained by the independent variable

Question 16

What does The ‘ANOVA’ box show\?

Answer 16

tells you whether the model, overall, results in a significantly good degree of prediction of the outcome
variable

Question 17

What does The ‘Coefficients’ box show?

Answer 17

tells us if each independent variable is a significant predictor of the dependent variable (again, we look at the ‘Sig’ value to establish this).

Question 18

What does this equation stand for, Y = a + (b*x)

Answer 18

Y = outcome measure
a = intercept coefficient
b = slope coefficient
x = individual predictor variable

Question 19

When do I use difference tests?

Answer 19

If you are interested in establishing if there is difference

Question 20

How do I conduct an independent t-test using SPSS?

Answer 20

Analyse > Compare Means > Independent Samples T-Test

Question 21

How do you calculate effect size?

Answer 21

Cohen’s d. You can do this by entering the mean, standard deviation and number of participants (n)