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These flashcards cover key concepts related to inferential statistics and correlational design in psychological research.
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Experimental Design
A research method where independent variables are manipulated to observe the effect on dependent variables.
Correlational Design
A research method that assesses the strength and direction of the linear relationship between two variables.
Correlation Coefficient
A statistical measure that indicates the degree to which two variables are related, ranging from -1 (perfect negative) to +1 (perfect positive).
Inferential Tests of Correlation
Statistical tests used to determine if there is a significant relationship between two variables; includes Pearson's r and Spearman's rs.
Spurious Correlation
A false relationship between two variables that may arise due to a third variable or coincidental factors.
Causation vs. Correlation
The distinction between a cause-effect relationship and a mere association between variables.
Pearson’s Correlation
A parametric test used for assessing the linear relationship between two continuous variables.
Spearman’s Correlation
A non-parametric test used for assessing the relationship between two ordinal variables.
Rule of Thumb (Cohen, 1968)
Guidelines for interpreting the strength of correlation coefficients: r < .3 weak, .3 < r < .7 moderate, r > .7 strong.
Statistically Significant
A result that is not likely to be due to chance, often indicated by a p-value less than .05.