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Randomized Experimental Design Randomized Experimental Design

Randomized Experimental Design - PowerPoint Presentation

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Uploaded On 2018-03-16

Randomized Experimental Design - PPT Presentation

What is an Experiment Campbell amp Stanley stressed random assignment to experimental treatments I stress manipulation of the independent variable QuasiExperiments CampSs term for research where ID: 652945

design treatment random group treatment design group random effect randomized posttest testing variance control anova designs covariate pretest variable

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Slide1

Randomized Experimental DesignSlide2

What is an Experiment?

Campbell & Stanley stressed random assignment to experimental treatments.

I stress manipulation of the independent variable.

Quasi-Experiments: C&S’s term for research where

there is a manipulated IV

but not random assignment to groupsSlide3

Random Selection

Refers to the selection of data points from a population into a random sample.

This selection procedure will be random if each possible sample of size

N

is equally likely to be sampled.

Random samples should be representative of the population.

Our inferential statistics assume random sampling.Slide4

Note. The tabled values are probabilities.

Y is random, X is not.

In Y, each time a single score is sampled, all scores in the population are equally likely to be sampled.Slide5

Random Assignment

Refers to the assignment of subjects to treatment conditions.

Allows us to consider the

populations

(subjects who will get special treatment and those who will not) as equivalent prior to treatment.

The

samples

will likely differ a little.Slide6

Two Basic Randomized Designs

Randomized Pretest-Posttest Control Group Design

R  O  X  O

R  O     O

Randomized Posttest Only Control Group Design

R  X  O

R     OSlide7

Noise Reducing Designs

These designs reduce noise (error variance) and thus increase power.Slide8

Randomized Blocks Designs

Matched pairs,

randomized

blocks.

Repeated measures or within-subjects.

Variance due to the blocking variable is removed from error variance.Slide9

Analysis of Covariance

Change

a

noise-producing extraneous variable into a covariate that is included in the statistical model.

Must be able to measure the covariate.

Variance due to covariate is removed from the error variance.

Can have more than one covariate.Slide10

Factorial ANOVA

Convert a categorical extraneous variable to an ANOVA factor.

Variance due to that factor will be removed from the error term.

2 x 2 Factorial Design

R  X

11

  O

R  X

12

  O

R  X

21

  O

R  X

22

  OSlide11

Other Randomized Designs

Solomon Four Group Design

Controls threats to internal and external validity as well as the posttest only control group design.

But has greater power.

And greater cost

Need more data

More complex analysis

R  O  X  O

R  O     O

R     X  O

R        OSlide12

Solomon Four Group Design

ANOVA

Arrange all four groups’ posttest scores into a 2 x 2 ANOVA.

Pretested or Not x

Experimental Treatment or Not.

Significant Interaction – Testing x Treatment threat to External Validity

Main effect of pretesting.

Main effect of treatmentSlide13

Treatment effect but no testing or Testing x Treatment interaction

Pretest means in parenthesesSlide14

Treatment and testing effects but no Testing x Treatment interactionSlide15

Treatment and testing effects and a Testing x Treatment interactionSlide16

Solomon Four Group Design

Pretest-Posttest Analysis

To gain power, analyze the pretest-posttest portion of the design with

ANCOV, using pretest scores as covariate

Mixed factorial ANOVA

planned comparisons using

t

control versus treatment change scores (independent

t)pre versus post for control group (correlated t)pre versus post for treatment group (correlated t)Slide17

Randomized Switching- Replications Design

R  O  X  O     O

R  O     O  X  O

Attempt to control social threats to internal validity.

Both groups get the special effect, one early, one later.

May still be social effects with respect to who gets it first.Slide18

Switching Replications

Temporary Treatment Effect

Group 1 got the treatment first.

Treatment is anxiety-reducing drug

DV = measure of anxiety reported by patientSlide19

Switching Replications

Persistent Treatment Effect

Treatment is psychotherapy

DV = measure of anxiety reported by patient

A third posttest could show the effect does not last indefinitely.Slide20

Switching Replications

Continuing Treatment Effect

Treatment = cognitive psychotherapy

Anxiety continues to decline beyond the first post-treatment observation, as patients get better at employing the cognitive technique.