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Correlation. Topics. Measure of Relationship Strength Direction Scatterplot Conceptual Formula Computational Formula Assumptions Problems Effecting the Interpretation of the Correlation Coefficient. Measure of Relationship.

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Presentation Transcript
topics
Topics
  • Measure of Relationship
    • Strength
    • Direction
  • Scatterplot
  • Conceptual Formula
  • Computational Formula
  • Assumptions
  • Problems Effecting the Interpretation of the Correlation Coefficient
measure of relationship
Measure of Relationship
  • In a correlational study, two measures -- representing the variables of interest -- are given to onegroup of subjects.
  • The subject’s scores on both measures are summarized, and the relationship between the scores on the two measures is examined.
measure of relationship1
Measure of Relationship
  • When the correlation coefficient is used to describe a linear relationship, the coefficient can take on values from -1.00 to +1.00.
    • The sign of the correlation indicates the direction of the relationship between two variables.
measure of relationship2
Measure of Relationship
    • A positive relationship means that low scores on X go with low scores on Y whereas high scores on X go with high scores on Y.
    • A negative relationship means that as scores on X increase, scores on Y decrease.
  • The absolute magnitude or size of the correlation coefficient -- that is, ignoring the plus or minus sign -- indicates the strength of the relationship between X and Y.
measure of relationship3
Measure of Relationship
    • A correlation of +.95 or of -.95 indicates a very strong relationship between the two variables.
    • A correlation of 0 indicates that there is no linear relationship between the variables.
  • Guilford\'s suggested interpretations for values of r.
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