1.19 Year 2 Research Methods - Choosing a Stats test Flashcards
Experimental designs are classed as either
- Related
- Unrelated
Related design
Repeated measures and matched pairs as they are matched on characteristics and complete same conditions
Unrelated design
Participants are different in each condition so unrelated
Three Types of Data
- Nominal
- Ordinal
- Interval
Nominal Data
Data divided into categories (Most basic form of data) Gives very little detail and known as discrete data as participant can only go into one category
Example of Nominal Data
‘Did a student pass or fail’ – fixed categories
Ordinal Data
Data ordered in some way such as ranked form 1 to 10. Intervals are subjective so not equal and precise, one person’s 4 may be another’s 6
Example of Ordinal Data
Students rating of how difficult an exam was
Interval Data
Highest form of data and provides most detail. Based on numerical scales in which intervals are universal. Each interval is precise and fixed such as time, height, weight etc.
Examples of Interval Data
Time taken to complete an exam
Stats Table Acronym
Children Should Chop Men’s Willies So U R Penisless aka Chi-Squared, Sign Test, Chi Squares, Mann Whitney, Wilcoxon, Spearman’s Rho, Unrelated T-Test, Related T-Test, and Pearson’s R
Name all the stats tests
Chi-Squared, Sign Test, Chi Squares, Mann Whitney, Wilcoxon, Spearman’s Rho, Unrelated T-Test, Related T-Test, and Pearson’s R
Three Factors needed for sign test
- Nominal Data
- Test of difference
- Related Design
Three Factors needed for Mann-Whitney U
- Ordinal Data
- Test of difference
- Unrelated design
Six Factors (can be used in two scenarios) needed for Chi-Squared
- Nominal Data
- Test of difference
- Unrelated
Or - Nominal
- Test of Association
- Related
