quasi-experimental designs

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Quasi-Experimental Designs Distinction is the degree of control over internal validity

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Quasi-Experimental Designs. Distinction is the degree of control over internal validity. True Experiment. Manipulation of a variable Control of threats posed by confounding variables NE and QE compare scores from diff groups or conditions but there is no manipulated variable. Quasi. - PowerPoint PPT Presentation

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Page 1: Quasi-Experimental Designs

Quasi-Experimental Designs

Distinction is the degree of control over internal validity

Page 2: Quasi-Experimental Designs

True Experiment

• Manipulation of a variable• Control of threats posed by confounding

variables• NE and QE compare scores from diff groups or

conditions but there is no manipulated variable

Page 3: Quasi-Experimental Designs

Quasi

• “having some but not all of the features”• Examples: lack of control or comparison

group, one group give treatment and then assessed

• No true IV• Participants already part of a group with

preexisting conditions

Page 4: Quasi-Experimental Designs

Nonmanipulated IV

• Participants not randomly assigned to conditions but come as members of a condition

• Subject (participant) variable– Gender– Age

Page 5: Quasi-Experimental Designs

Single-Group Posttest-Only Design

• Single group of participants given a treatment then tested

• No comparison group or previous measurements to compare

• Cannot be used to draw conclusions about how an experiences has affected P’s

Page 6: Quasi-Experimental Designs

Single-GroupPretest/Posttest Design

• Measurements taken before treatment and after treatment.

• Differences compared and any changes assumed to be treatment

• Problem is still no comparison group

Page 7: Quasi-Experimental Designs

Single-Group Time-Series Design

• Single group of participants measured repeatedly before and after a treatment.

• Allows for better baseline before treatment and continued measurement after treatment

Page 8: Quasi-Experimental Designs

Nonequivalent Group Designs

• Groups / conditions created by differences in individuals before experiment

• No control over assignment of individuals to groups

• Examples: IQ, race, gender

Page 9: Quasi-Experimental Designs

Differential Research Design

• NE research design because no attempt to control for threat of assignment bias

• Researcher interested in differences between groups on certain variable

• Ex post factolooks at differences after the fact

Page 10: Quasi-Experimental Designs

NE Control Group Posttest-Only Design

• Two nonequivalent groups (NE) given treatment and then posttest measure

• NE groups used in applied research settings in which goal is to evaluate treatment to a preexisting group of ind

• Second, control group, used as comparison

Page 11: Quasi-Experimental Designs

NE Control Group Pretest/Posttest Design

• At least two NE groups given a pretest, then treatment, then posttest

• Still no random assignment• Treatment only given to Experimental group• Compare between groups and within groups

Page 12: Quasi-Experimental Designs

Pretest-Posttest NE Control Group Design

• Phase 1– Observe (measure) both groups

• Phase 2– Administer treatment to Experimental group– No treatment to control Group

0 X 0 (Experimental group)0 0 (control group)

• Purpose of Phase 1 to determine if groups equal prior to Phase 2 treatment

• Quasi-Experimentalthreats minimized

Page 13: Quasi-Experimental Designs

Threats still possible

• Differential effects– Differences between groups may be result of

different histories effects

• Similar to influences such as maturation, instrumentation, testing effects etc

Page 14: Quasi-Experimental Designs

Caution!

• Remember the problem with threat to internal validity with these designs

• Assignment bias differences between groups could reflect individual differences

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Page 16: Quasi-Experimental Designs