4.15.08 - FACTORIAL DESIGNS AND INTERACTION EFFECTS The...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
FACTORIAL DESIGNS AND INTERACTION EFFECTS The term “factorial design” conveys two ideas: There is more than one factor (independent variable or grouping variable) in the research design. Data is collected under all possible combinations of the levels of these factors. This means that it is useful to organize data in a matrix of rows and columns. Why Factorial Designs? Two Reasons investigate the effects of factors in combination solve some problems of confounding Varieties of Factorial Design how many factors, and how many levels of each? e.g. 2 x 2; 4 x 6; 2 x 4 x 5; 3 x 3 x 3 x 3; etc o the numbers represent how many levels for each factor are the factors between-subjects or within-subject? e.g. all between; all within; mixed o for each of these factorial designs, there is an analysis of variance o e.g. two between factors and one within
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Example of a 2 x 2 Factorial Design Factor 1: Task Difficulty Easy Difficult Average Morning 93 83 88 Factor 2: Time of Day
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/30/2008 for the course PSY 301 taught by Professor Collyer during the Spring '08 term at Rhode Island.

Page1 / 2

4.15.08 - FACTORIAL DESIGNS AND INTERACTION EFFECTS The...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online