Types of correlation
postive
negative
zero
difference between correlations and experiments
no IV or DV
no manipulation of variables
strengths of correlations
useful preliminary tool
quick and economical to carry out, using secondary data
weaknesses of correlations
cannot demonstrate cause and effect
the third variable problem (intervening variable)
misuse and misinterpretation
correlation coefficients
relationship between two continious co-variables
correlation coefficient represents strength and direction of relationship
working out what a coefficient means
the closer the coefficient is to -1 or +1, the stronger the relationship