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bivariate correlation
association of two variables
four types of variables
nominal (categorical)
ordinal (order; distance between varies)
interval (likert type scale)
ratio (true zero)
correlation coefficient
a value between -1 and 1
strength: close to -1 or 1 = close relationship
direction: positive, negative, or zero
statistical significant (p-value)
the probability that results are due to chance (p < 0.05 is ideal)
effect size
the strength of a relationship between two or more variables (how close the dots are to the line of best fit)
confidence interval (CI)
a range of values that is likely to contain the true value of a population parameter
spurious association
variables that seem connected but are being influenced by a third variable
to establish causation, a study must satisfy;
covariance of cause and effect
temporal precedence
internal validity
moderator/mediator
moderator: stronger/changes direction of relationship
mediator: actual third variable affecting the relationship
internal/external validity
internal: causal inferences based on association
external: can findings be generalized
construct/statistical validity
construct: study measures concepts accurately
statistical: conclusions are accurate
normal vs skewed
normal: pearson correlation
skewed: spearmen correlation