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PSYC 2110 (10)

Experimental Design

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University of Lethbridge
PSYC 2110
Fangfang Li

Correlations+ ExperimentalDesign January-14-13 12:02 PM Correlation - Correlational designs examine the relationship between two variables - Just because there's a correlation, that doesn't mean it's causal - The relationship between two variables is known as their correlation ○ Positive correlation:  The moretime spent on reading, the higher reading achievement scores ○ Correlation does not equalcausation  Direction-of-causationproblem □ Don't knowwhich oneis causing which  Third-variableproblem □ Both things could be caused by a commonthird variable General Research Designs - What is r? ○ Index of strength and direction of relation ○ Varies from -1.00 to +1.00 ○ Strength indicated by absolutevalue  +.70 and -.70 are equally strongand bothare stronger than+.35 and -.35 ○ 0 = no correlation - More aboutr ○ Direction indicated by sign ○ + means that oneincreases, theother also increases ○ - means that as oneincreases, the other decreases (an inverse relationship) - Need to knowwhat it is, and how to interpret it Correlation does not equal Correlation - Correlation does not tell you directionality: ○ Greater time spent reading might mean higher reading score, BUT greater reading skill can also motivatethechild and lead to more time spent reading. - There may be a third variable Intro to Child Development Page 1 - There may be a third variable ○ Perhaps thehomeenvironment led thechild BOTH to read more and to read better - Findingcausation requires and experiment Designs
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