PSYC227_fall09_lastWeek

PSYC227_fall09_lastWeek - LearningObjec-ves

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Learning Objec-ves Understand the Pearson correla-on and what aspects of a rela-onship it measures ( form, direc+onality, strength ) Know the uses and limita+ons of measures of correla-on Be able to compute the Pearson correla-on Be able to use sample correla-on to evaluate a hypothesis about the correla-on for the general popula-on Understand the Spearman correla-on and how it diFers from the Pearson correla-on in terms of the data it uses Correlation
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Experimental vs. Correla-onal Studies 2 Experimental studies Correlational studies Effect of independent variable on a dependent variables is measured Single group of subjects Two independent variables are measured per subject Are the scores on two variables related ? Does independent variable have an affect on a dependent variable? One or more groups of subjects
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Correla-on Describes rela-onship between the two variables REVIEW:
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Correla-on 4 Form of the relationship The directionality of the relationship The degree of the relationship
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Correla-on: form of the rela-onship
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Correla-on
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Correla-on: direc-on positive negative
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Correla-on: the degree of the rela-onship
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Correla-on
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Correla-on
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Correla-on
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Correla-on between mood level and light exposure in postpartum subjects. A higher mood score suggests more depressive symptoms. R = 0.40 (NS). Illumina-on versus mood in postpartum women BMC Psychiatry 2003, 3: 5doi:10.1186/1471‐244X‐3‐5 24‐hour average logarithm of illumina-on in lux
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Results There was no signifcant diFerence between the amount o± light [log 10 lux] experienced by postpartum (1.01 SD 0.236) and control women (1.06 SD 0.285). Mood was not correlated with illumina-on in the postpartum sample. Conclusions Postpartum women in San Diego did not receive reduced light, nor was low mood related to low illumina-on. BMC Psychiatry 2003, 3: 5doi:10.1186/1471‐244X‐3‐5 Illumina-on versus mood in postpartum women
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Spatial Memory and Aging TotaldistanceTravelled Age sun2.science.wayne.edu/~nal/spatialmemory.htm
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Correla-on: uses Predic-on : use one variable to make predic-ons about another variable Validity : correla-on between the new test and known measures Reliability : stable, consistent measurements Theory verifca-on : test specifc predic-ons about the two variables
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The Pearson Correla-on The Pearson correla-on ‐ measures the degree and direc-on of linear rela-onship between two variables. Sum of products Computa-onal formula uses original scores Number of pairs of scores
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Correla-on coefficient 17 Describes linear rela-onship between the two variables Possible values: between ‐1 and 1 The sign of the correla-on speciFes the direc-on posi-ve: X and Y vary in the same direc-on nega-ve: X and Y vary in opposite direc-ons The magnitude of the correla-on speciFes the degree to which the data points Ft the speciFed form 1: perfect linear rela-onship (points lie on a straight line) 0: no linear rela-onship The Pearson correla-on:
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Illustra-ons 18
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PSYC227_fall09_lastWeek - LearningObjec-ves

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