RM: Correlations Flashcards
What is a correlational study?
-studies which investigate the relationship/association between two variables (co-variables)
How do correlational studies differ from the experimental method?
-in experiments, the researcher manipulates the IV so measure effect on DV (causality)
-in correlational, there is no manipulation of variables so causality cannot be established
How do you write hypotheses for correlational research?
-states whether there is going to be a relationship between x and y
What are the types of correlational research hypotheses?
-null= no correlation
-directional= states if positive/negative
-non-directional= there will be a relationship/association
How is data collected for the co-variables?
-secondary data-> from another source
-observational data-> from experiment
-questionnaires-> from questionnaires/interviews
-Brain scanning technologies-> to see activation of specific areas of the brain
What graph is used to plot the data?
-a scatter diagram
-the dots indicate the degree of correlation between the two variables (correlation co-efficient)
What is a positive correlation?
-if one variable increases, the other also increases
-1= perfect, 0.8= strong, 0.3= weak
What is a negative correlation?
-as one variable increases, the other decreases
- -1= perfect negative, -0.8= strong, -0.3= weak
What is a zero/null correlation?
-there is no relationship between the variables
What is a curvilinear relationship?
-as one variable increases, so does the other, but only up to a certain point, after which one keeps increasing, the other decreases
Strengths of correlational studies?
-used when it would be impractical/unethical to manipulate variables
-can make use of existing data
-can be a quick/easy way to carry out research.
high in ecological validity- manipulation of behaviour needed
-useful as a preliminary research technique- links can be identified
Limitations of correlational studies?
-no cause and effect relationship identified
-could be a third intervening variable
-correlations are open to interpretation
-correlation is not causation