L10- Factors affecting choice of statistical tests including levels of measurement and design Flashcards
What are descriptive statistics?
Descriptive statistics- give summaries of data collected from research- AND indicates what statistical analysis might reveal about results
What are levels of measurement?
Levels of Measurement- used to try to categorise data into one of 3 types (nominal, ordinal or interval)- allows to correctly select most appropriate statistical test to analyse our results
What are the levels of measurement?
1) Nominal
2) Ordinal
3) Interval
What is nominal data?
- Data consists of numbers of participants that fall into different categories
- Person can be placed in 1 category only and not the other
What is ordinal data?
- Data placed in rank order from lowest to highest
- Ordinal scale can consist of measurements of unequal intervals e.g. 1.20, 1.25, 1.27
What is interval data?
- Data has fixed and even intervals
- Units of data are fixed (have same distance) throughout range e.g. cm etc
How many statistical tests are there?
7
What are the statistical tests and state which ones are parametric and which ones are non-parametric ?
Non-parametric:
1) Chi squared
2) Spearman’s Rho
3) Mann Whitney
4) Wilcoxon
Parametric:
5) Pearson’s r
6) Related t-test
7) Unrelated t-test
What is the difference between parametric and non-parametric tests?
Parametric tests are ⬆️ robust and powerful than non-parametric tests
- rely on actual data collected rather than just examining rank order of data
Parametric test ALSO ⬆️ likely to detect if data significant or not
What are the 3 factors which mean a parametric test can be conducted?
1) Interval level of measurement
2) Normal distribution rather than skewed distribution
3) Similar variance/spread of data- examined by looking at dispersion of data and standard deviations for both conditions and seeing if they are similar
Describe the table headings which help to determine which test to conduct
Far left- type of test
2nd to left- levels of measurement
3rd to left- test of difference- independent measures
4th to left- test of difference- repeated measures or matched pairs
5th to left- test of association or correlation-
Row 1- non- parametric
Row 2- non-parametric
Row 3- parametric
What rhyme is used to remember which statistical test to use and what does it mean?
Carrots Should Come (Chi squared, Sign test, Chi squared)
Mashed with Swede (Mann Whitney U test, Wilcoxon, Spearman’s rho)
Under Roast Potatoes (Unrelated t-test, Related t-test, Pearson’s r)
What statistical should be used with an independent measure test using nominal data?
Chi squared
What statistical should be used with an independent measure test using ordinal data?
Mann Whitney U test
What statistical should be used with an independent measure test using interval data?
Unrelated t-test
What statistical should be used with an matched pairs test using nominal data?
Sign test
What statistical should be used with an matched pairs test using ordinal data?
Wilcoxon
What statistical should be used with an matched pairs test using interval data?
Related t-test
What statistical should be used with an repeated measures test using nominal data?
Sign test
What statistical should be used with a repeated measures test using ordinal data?
Wilcoxon
What statistical should be used with a repeated measures test using interval data?
Related t-test
What statistical should be used with a test of association and what level of measurement does it use and what type of test is it?
Chi squared- nominal and non-parametric
What statistical should be used with a test of correlation using ordinal data?
Spearman’s Rho
What statistical should be used with a test of correlation using interval data?
Pearson’s R
Which level of measurements come under parametric test and which come under non-parametric tests?
Non- parametric = Nominal
Non- parametric = Ordinal
Parametric = Interval
What is unique about the last column of the table to determine the statistical test to use?
There is only 1 test for association (top row … nominal data) and the other 2 rows are both for a test of correlation (ordinal and interval data)