Child Development 133 Research Methods in Human Development
Sections 02 & 06 Hembree Fall, 2009
Correlational Research
I. Correlational strategies A. Design issues - correlational vs. experimental strategies B. Correlation Coefficients 1. Scatterplots 2. Positive and Negative (inverse) linear relationships 3. Curvilinear relationships 4. Calculating Pearson r/ testing for statistical significance II. Problems with interpreting correlations A. restricted range B. outliers C. lack of reliability D. correlation vs. causation . III. Multiple variables A. Partial correlations B. Multiple regression
I. Correlational strategies
A. Design issues - correlational vs. experimental strategies B. Correlation Coefficients 1. Scatterplots 2. Positive and Negative (inverse) linear relationships 3. Curvilinear relationships 4. Calculating Pearson r/ testing for statistical significance
A. Design issues - correlational vs. experimental strategies
B. Correlation Coefficients
1. Scatterplots 2. Positive and Negative (inverse) linear relationships
2. Positive and Negative (inverse) linear relationships
3. Curvilinear relationships
4. Calculating Pearson r/ testing for statistical significance
II. Problems with interpreting correlations
A. restricted range B. outliers C. lack of reliability D. correlation vs. causation
A. restricted range
B. outliers
C. lack of reliability
D. correlation vs. causation
.
III. Multiple variables
A. Partial correlations B. Multiple regression
A. Partial correlations
B. Multiple regression
Send problems, comments or suggestions to: hembrees@csus.edu
California State University, Sacramento College of EducationDepartment of Child Development
Updated: August, 2009