Research Methods Flashcards
What three things does research need to consider?
- Data
- Design
- Difference
What are the four levels of measurement?
- Nominal: Discrete categories
- Ordinal: Related categories
- Interval: Subdivided categories
- Ratio: Proportional categories
What are two design types?
- Independent Groups: Unrelated data
- Repeated Measures: Related data
What statistical test should be used for Independent Groups (unrelated data) with nominal data?
Chi-Squared (X^2)
What statistical test should be used for Independent Groups (unrelated data) with Ordinal data?
Mann-Whitney U
What statistical test should be used for Independent Groups (unrelated data) with Interval or Ratio data?
Unrelated T Test
What statistical test should be used for Repeated Measures (related data) with Nominal data?
Sign Test
What statistical test should be used for Repeated Measures (related data) with Ordinal data?
Wilcoxon’s T
What statistical test should be used for Repeated Measures (related data) with Interval or Ratio data?
Related T Test 11
What statistical test should be used for research with Nominal data and a correlation?
Chi-squared (X^2)
What statistical test should be used for research with Ordinal data and a correlation?
Spearman’s Rho (P=)
What statistical test should be used for research with Interval or Ratio data and a correlation?
Pearson’s R
Two new types of validity
- Face Validity
- Concurrent Validity
Face Validity
whether a test, scale or measure appears to measure what it is supposed to measure ‘on the face of it’. This is done by ‘eyeballing’ the measuring instrument or passing it to an expert to check.
Concurrent Validity
Demonstrated when the results obtained are very close to, or match, those obtained on another recognised test measuring the same concept/construct. This is tested by doing a correlation between the participant scores. If it is strong and positive, it is valid.