Syllabus for Statistics and Research Design -- PSYC 6430

I. Descriptive Statistics

1. Measures of central tendency
2. Measures of dispersion
3. Skewness and kurtosis
4. Exploratory data analysis

II. Design Issues

1. Experimentation versus observation
2. Internal and external validity and threats to validity
3. Pre-experimental designs
4. True experimental designs
5. Extraneous variable control
6. Scales of measurement

III. Probability and Inferential Statistics

1. Basics of probability
2. Parameter estimation, point and interval
3. Hypothesis testing
4.  Power

IV. Chi-square

1. One sample test of variance
2. Goodness of fit
3. Analysis of contingency tables
4. Presenting the results of a contingency table analysis in APA style.

IV. T-tests of Hypotheses about Means

1. One sample t tests
2. Two independent samples
3. Two correlated samples
4. Heterogeneity of variance
5. Effect size estimates
6. Placing confidence intervals on effect size estimates
7. Presenting the results of a t test in APA style.

VI. Correlation and Regression

1. Scatter plots
2. Pearson product moment correlation coefficient
3. Linear regression analysis
4. Point biserial r
5. Phi coefficient
6. Spearman's rho
7. Kendall's tau
8. Kendall's coefficient of concordance
9. Brief introduction to multiple regression
10. Presenting the results of correlation/regression analysis in APA style

VII. Analysis of Variance

1. One-way designs
2. Factorial designs
3. Fixed, random, and mixed models
4. Monotonic versus nonmonotonic interactions
5. Nested versus crossed factors
6. Magnitude of effect estimates
7. Power
8. A priori and a posteriori comparisons
9. Presenting the results of ANOVA in APA style

IX. Computing

1. Computing with SAS
2. Computing with SPSS
3. Internet resources, including e-journals and archived data

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Contact Information for the Webmaster,
Dr. Karl L. Wuensch


This page most recently revised on 2. May 2007.