Test types

Question 1

Spearman’s Rho

Answer 1

A correlation coefficient, observed value to see if there’s a significant association between two variables with ordinal data. Calculate the observed value, positive or negative correlation, compare to critical value, must be greater than or equal to observed value to be significant

Question 2

Pearson’s r

Answer 2

Association between two variables which is normally distributed with interval/ratio data. If positive correlation as one goes up so does the other and if negative as one goes up one goes down. Calculate observed value and modulus it, must be greater than or equal to critical value to be significant. Before checking CV you must calculate the degrees of freedom which is N-2.

Question 3

Wilcoxon

Answer 3

Hypothesis for a difference between two sets of ordinal data, experiment is repeated measures or matched pairs. Calculate observed value, compare it to CV, must be less the or equal to CV to be significant

Question 4

Sign Test

Answer 4

Compares data from repeated measures or matched pairs designs by turning the change in scores into nominal data. Calculate difference between the two scores, add up positive and negative signs for example 3 negative and 5positives, use smallest one (3) as your observed value, must be less than or equal to CV to be significant

Question 5

Related t test

Answer 5

Test of difference for repeated measures and matched pairs designs with interval/ratio data which is normally distributed. Find observed value and degrees of freedom with N-1 for t test, must be greater than or equal to CV to be significant

Question 6

Unrelated t test

Answer 6

Test of difference for two unpaired groups of participants, interval/ratio data which is normally distributed degrees of freedom is total participants from both groups - 2. Must be greater than or equal to CV to be significant

Question 7

Mann-Whitney

Answer 7

Test of difference for data from an independent measures design, focuses and ranks and is used with ordinal data, observed value calculated, must be less than or equal to CV to be significant

Question 8

Chi-Squared

Answer 8

Tests the null hypothesis, uses nominal data with an independent measures design. Tests expected results against actual observed results. Degrees of freedom is (No. of rows -1) x (No. of columns -1). Significant if greater than or equal to CV

Question 9

Nominal Data (+ tests)

Answer 9

Data only has label, such as eye colour, sign test, chi-squared test

Question 10

Ordinal Data (+ tests)

Answer 10

Data has a label and a rank order, such as military rank, wilcoxon test, Mann-Whitney test, Spearman’s rho test

Question 11

Interval/Ratio data (+ tests)

Answer 11

Data has a label, a rank order and equal intervals between each variable and possibly a true zero value, such as height. Related and unrelated t tests, pearson’s r test

Question 12

What tests use repeated measures or matched pairs

Answer 12

Sign test, Wilcoxon, Related t-tests

Question 13

What tests use independent measures design

Answer 13

Chi-Squared, Mann-Whitney, Unrelated t-tests

Question 14

What tests use correlations

Answer 14

Chi-Squared, Spearman’s rho, Pearson’s r