Cancelled - SPSS: Nonparametric and Categorical Data Analysis
In this session, we will be guided through the process of analyzing ranked and counted data, such as survey data. We will talk about:
•Kruskal-Wallis one-way analysis of variance by ranks to test samples, which leads to significant results, when at least one of the samples is different from the other samples. The test does not identify where the differences occur or how many differences actually occur.
•Kolmogorov-Smirnov test (K-S test) tests for the equality of continuous, one-dimensional probability distributions to compare a sample with a reference probability distribution or to compare two samples.
•Friedman test is similar to ANOVA and is used to detect differences in treatments across multiple test attempts by ranking each row (or block) together, then considering the values of ranks by columns.
•Chi Square Distribution is the most widely used distribution of a sum of the squares of independent random variables and is used in hypothesis testing or in the construction of confidence intervals.
•Log-Linear Models is a mathematical model that takes the form of a function, which makes it possible to apply linear regression.
Participants will have the opportunity to work with their data or use a “dummy” database to experience how to do a regression analysis.
•Use Kruskal-Wallis one-way analysis of variance; Kolmogorov-Smirnov test (K-S test); Friedman test; Chi Square Distribution; & Log-Linear Models to analyze data in the SPSS program
•Analyze their own or “dummy” data for practice
•Discuss any questions they may have about the program
Date: Tuesday, July 16th, 2013 Time: 9:00am-12:00pm Location: KLIB 219 Group ID: Faculty: Scholarship