Complex Designs
Within-Subjects, Factorial, and Combined Designs

I. Introduction

II.  Within-Subjects Design (pp. 294-306)
A.  Defined
B.  Why Use?
C. Major Problem:  Carryover
D.  Solutions
1.  Counterbalancing
a.  Complete within-subjects design
b.	Incomplete (partial) within subjects design
i. Latin Square Design
2.  Minimizing Carryover Effects
3.  Making order an IV
E.  Types of Within Subjects Designs
1.  Single-Factor Two-Level
2.  Single Factor Multiple-Level
3.  Multi-Factor Factorial Design
F.  Statistical Issues ()
1.  t-tests for correlated samples (p. 435)
2.  Repeated measures ANOVA (p. 433-434)
G.  Identifying Simple designs and hypotheses from graphs
1.  Simple Graphing Exercises

III  Factorial and Combined Designs 
A.  Defined
1.  Factorial Design (p. 308-316)
2.  Combined (Mixed) Design (p. 321 – 326)
3.  Nested Design (pp. 323)
B.  Why Used
1.  Resolving Contradictions
2.  Testing Theories
C. Sources of Influence (pp. 434-437)
1.  Main effects with no interaction effects
2.  Crossover interactions effects (No main effects)
3.  Interactions effects with and without main effects
E.  Statistical, graphical, and verbal characterizations of data (handout)
1.  Complex Exercises
F.  Reanalysis of Results