Survey of some basic rank order nonparametric procedures and basic categorical data analytic methods. Reliability of instruments producing nominal and ordinal data is also discussed and an introduction to loglinear models to handle higher order contingency tables analysis is provided. Emphasis placed on interpreting journal articles which use nonparametric methods. Consideration of analysis of variance hypothesis testing and confidence interval procedures for single and multiple independent variables. Designs and analyses to increase experimental precision and control extraneous variation are emphasized.
Emphasis is on broad interpretative principles rather than on specific mathematical details.
Study of techniques used to test causal models in correlational research. Emphasis on applications, studying several reported applied research studies. Analyzing data sets using SPSS and writing up computer results in journal format.