Binary Logistic Regression is a form of multivariate data analysis used for predicting dependent variables which is composed of binary outcomes (e.g. presence/absence, yes/no, agree/disagree). In contrast to Multiple Linear Regression, it uses dummy coding for its dependent variable (0,1). Below are links to a Binary Logistic Regression learning activity using SPSS. You can download […]

The t-test for independent groups otherwise known as studentâ€™s t-test or unpaired t-test, is a statistical test for determining the significant difference of the means of two unrelated or correlated groups. The t-test was invented by William Sealy Gosset. As a chemist, he used the t-test to handle small samples for quality control in brewing. […]

The t-test for dependent samples compares the means of two related groups in order to determine if there is significant difference among them. It is also called by the following names: dependent samples t-test, matched-pairs t test, repeated measures t test, t test for dependent means, t test for related samples, or paired t-test. An […]

The Pearson r Product Moment Coefficient of Correlation is the most common measure of correlation or association. The computation can be used for determining the relationship between two variables with paired observations. The r value can have possible values between -1 to +1. The closer the r value is to -/+ 1, the stronger is […]

The Analysis of Variance is used to determine if there is a significant difference between more than two groups in terms of a variable. Because a t-test can only be done for two groups, in cases that there are three or more groups, it is more practical to use ANOVA instead of conducting a series […]