L10 - Factors Affecting Choice Of Statistical Tests

Question 1

What are descriptive statistics?

Answer 1

• Summaries of data

- Can indicate what statistical analysis reveals

Question 2

What are the three types of Levels of Measurement?

Answer 2

• Nominal: categorical - either one or the other, no overlap
• Ordinal: rank order from lowest to highest, can have measurements of unequal intervals
• Interval: data has fixed and even intervals, units of data are fixed and have the same distance throughout the range.

Question 3

What are the non-parametric tests? (5)

Answer 3

• Chi-squared
• Spearman’s Rho
• Mann Whitney
• Wilcoxon
• Sign Tested

Question 4

What are the parametric tests? (3)

Answer 4

• Pearson’s R
• Related T-Test
• Unrelated T-Test

Question 5

Why are Parametric tests better?

Answer 5

• More robust + powerful
• Rely on actual data rather than rank order of data
• More likely to detect of data is significant

Question 6

What three factors mean a parametric test can be conducted?

Answer 6

• Interval level of measurement
• Normal distribution
• Variance of data

Question 7

How do you decide which test you should use?

Answer 7

• Does the research involve a correlation, test of difference, or an association
• Which research design is being used
• Which level of measurement is being used?

Question 8

What is the Acronym for the tests

Answer 8

Carrots Should Come
Mashed With Swede
Under Roast Potatoes

Question 9

What is the table heading?

Answer 9

Levels of measurement: Independent Measures: Repeated/Matched Pairs: Association or Correlation
Nominal Chi-squared. Sign test. Chi-squared
Ordinal Mann Whitney. Wilcoxon. Spearman’s rho
Interval. Unrelated T-Test. Related T-Test. Pearson’s r