PSYC 2030 Midterm: PSYC 2030 - TEST 2 CHAPTER NOTES.docx

• School: York University
• Department: Psychology
• Course: PSYC 2030
• Professor: Rebecca Jubis

Document Summary

2 x 3 (read as two by three ) factorial design has two independent variables: the first has two levels and the second has three. (cid:224) the total number of conditions in a factorial study can be identified by looking at all possible combinations of levels of each independent variable. (cid:224) factorial matrix: a row and column arrangement that characterizes a factorial design and shows the independent variables, the levels of each independent variable, and the total number of conditions (cells) in a study. Varieties of factorial designs (cid:224) factorial designs can be completely between subjects, meaning all the independent variables are between subjects factors. (cid:224) factorial designs can also be complete within subjects, in which all the independent variables are within subject factors. (cid:224) mixed factorial design: when a mixture between and within subjects factors exist in the same experiment.