---------- INTRODUCTION to PSYCHOLOGY RESEARCH DESIGN ----------
---------- SYLLABUS ----------
Dr. John M. Morgan


REQUIRED TEXT:     Experimental Methodology  eighth edition
			by Larry B. Christensen, Allyn and Bacon, 2001
			ISBN #0-205-30832-5
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Chapter 10

Quasi (almost)-Experimental Designs

Nonequivalent Control Groups Design:
	No random assignment of participants to experimental & control 
groups. Pre-Post comparisons with treatment administered only to the 
experimental group but membership in groups is not controlled by 
experimenter, e.g. consumers select payment plan themselves and measure 
plans influence on increased usage of product, or reading methods across 
school rooms, patients' health on high blood pressure medication, 
'improved' teaching techniques as semester continues.

Must Eliminate Rival Hypotheses:
I     Exp gr begins higher and increases pre to post while con gr 
remains the same.
       a) Selection-maturation effect: Exp gr were progressing faster 
before pre-test, i.e. brighter.  If match grs, may choose lowest of one 
gr and highest of the other. :. Statistical regression error
     b)  Local History effect: an extraneous variable that affects one 
gr and not the other.

II   Rates of increase in DV from pre to post-test occurs in both grs 
but faster in exp gr.
     a)  If one gr scores higher then other at pre-test, Selection-
Maturation Interaction

III  The two grs differ substantially of measures of DV at pre-test and 
one gr increases / decreases dramatically over the other.  May not be a 
treatment effect if a) local history and/or b)statistical regression 
effect cannot be eliminated.  Try repeated pre-testing

IV  Crossover effect: Interaction - Cannot be a) Statistical Regression 
since it is unlikely for the gr with lower pre-test scores to improve 
that much.  b) Selection-maturation effect since the higher scoring pre-
test gr should advance even faster then lower scoring gr. = opposite of 
effect

Interrupted Time-Series Design: Repeated measures of both grs both pre- 
and post-treatment. Compare stable performance and its change.  The 
fewer the measurements, the probability of concluding that a treatment 
is effective when it really is not (type I error) is increased.  See 
graphs on p 275
       Weakness = lack of control of History effects

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