ABSTRACT
This chapter introduces statistical tests for assessing the significance of differences between two samples and also introduces calculations of effect size and power. Relatively powerful significance test that uses estimations of population parameters; the data tested must usually therefore satisfy certain assumptions; also known as a distribution dependent test. Each participant has been tested in both the control condition (no specific instruction) and the imagery condition (where they were asked to form the vivid images of each item). Hence, it is a repeated measures or related design. The data come in related pairs. Different words are used in each condition.
