Unit 1; Research Methods; Correlation
- Created by: Former Member
- Created on: 06-01-17 13:30
View mindmap
- Correlation
- Types of correlation
- Positive: as 1 co-variable increases, so does the other
- Negative: as 1 co-variable increases, the other decreases
- None: no definite trend, no apparent relationship
- Correlational Hypotheses
- Two-tailed
- there will be a correlation but it does not say if positive or negative
- One-tailed
- there will be a correlation and direction is given
- Two-tailed
- No IV or DV, only co-variables
- Descriptive stats
- use scatter graph to show results
- Can draw broad conclusions
- can't justify "x affects y", doesn't explain relationship
- Findings: point to particular values e.g. highest score or range
- Conclusions: inferences you can make from data
- use scatter graph to show results
- Inferential stats
- Spearman's Rho test calculates 'correlation co-efficient' between -1 & +1
- Positive correlation
- will be a +
- closer to +1, the stronger the correlation
- Negative correlation
- will be a -
- closer to -1, the stronger the correlation
- No correlation
- will be near 0
- Advantages of Correlation Statistics
- can use old data for research
- useful for if variables can't be manipulated
- good starting point, may find random relationship
- Disadvantageof Correlation Statistics
- don't tell us anything about cause and effect
- inferential stats won't always pick up on a relationship
- Types of correlation
Comments
No comments have yet been made