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Correlational_Techniques

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Correlational Techniques
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Correlational Techniques Both statistics and research design Enables researcher to determine if a relationship  exists between two (or more) variables Gives information about how scores on variables  ‘relate’ to each other ~ as scores on 1 variable (X)  change is there a consistent pattern of change in 2 nd   variable (Y) Only statistic to use for “relationship” from a  parametric focus is a correlation
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Types of Correlations  Pearson Product-Moment Parametric procedure Need interval or ratio data for both variables rp Involves hypothesis testing Spearman’s Rank-Order Non-parametric procedure At least one variable is ordinal to start ~ if the other variable  is I/R must convert to ordinal scale May involve hypothesis testing rs
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Pearson Product-Moment Compares how consistently each value  of (Y) is paired with each value of (X) in  a linear fashion Theory: rp =  degree to which X and Y vary together             degree to which X and Y vary separately     Computational formula:        
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Pearson Product-Moment Question: Is there an association between hours of TV watched  per week and acting-out behaviour in preschoolers?
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