Between-Subjects: Independent groups designs

I.  Introduction
	A.  Ways to exert experimental control
	B.  Error variance (pp. 291-294)
	C.  Between- vs. within-subjects designs (pp. 290-291)

II. Between-Subjects Designs
	A.  Randomized Groups design (Randomized two-group design, pp. 294-299)
		1.  Threats to Internal Validity.
		2.  Solutions		
			i.  Pretest/post test designs (pp. 343-346)  
			ii.  Solomon 4-group design (pp. 346-347)
	B.  Other Between-subjects Design
		1.  Matched Group Designs (pp. 299-302) 
	  	2.  Natural Group Design
	C.  Special Cases
		1.  Placebo and double-blind experiments (p. 155)
		2.  Yoked Control Group 

III.   Analysis of Between-Subjects Designs
	A.  Descriptive Statistics (pp. 391-414)
		1.  Measure of Central Tendency (pp. 410-413) 
			1. Mean
		2.  Measures of Spread (pp. 413-417) 
			1. Standard Deviation
3.	From Samples to Populations
i. SEM (pp. 431)
	B.  Inferential Statistics (pp. 430-463) 
1.	Population estimates from sample statistics 
2.	Null Hypotheses Testing (pp. 432-438)
i.   Null Hypothesis (p. 421)
ii.  Significance Testing (t-tests) (pp. 422-423)
iii. Statistical Conclusions (pp. 423-424; 444-445)
3.  Statistical Concepts
i.  Type I and type II errors (pp. 434-435)
ii.  Parametric vs. Non-parametric  (p. 431-432)
	C.  Chance and the t distribution (pp. 439-441) 
1.	Experiments as the production of variance.
2.	Designing research with a statistical model in mind 
i.  Alpha level
ii. Sample Size
iii. 1 vs. 2-tailed test (pp. 436-438) 
iv.  Effect size (pp. 457-458)

	D.  Chi Square and F distributions
		1. ANOVA (pp. 442-452) 
		2.  Chi-Square (pp.453-455)

IV Putting it all together   
A.	Statistics for researchers 
	B.  In-class exercises and SPSS training.