Power Point Slides by Ronald J. Shope in collaboration with John W. Creswell Chapter 11 Experimental Designs
Power Point Slides by Ronald J. Shope in collaboration with John W. Creswell
Chapter 11
Experimental Designs
Educational Research 2e: Creswell
Key Ideas
• Definition and uses for experimental designs• Procedures used in experimental research• Internal and external validity threats in
experimental research• Types of experimental designs• Steps in conducting experimental research• Evaluating experimental research
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What is experimental research?
• In an experiment, you test an idea (or practice or procedure) to determine whether it influences an outcome or dependent variable.
• Determine activities with which to “experiment” • Assign individuals to experience it (and have
some individuals experience something different)
• Determine whether those who experienced the activities (or practice or procedure) performed better on some outcome than those who did not experience it.
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When do you use experimental procedures?
• To establish cause and effect– Between independent and dependent
variables– Control for all variables that might influence
the outcome
• Used when testing theories
• Used when comparing two or more groups
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How did experiments develop?
• Psychological experiments (late 19th early 20th century)
• Procedures for comparing groups (McCall 1925)• Statistics for comparing groups (e.g. Chi-Square)
Identification of types of experimental designs (Campbell and Stanley 1963)
• Types of basic designs and threats (Cook and Campbell 1979)
• Complicated experiments with many variables (Since 1980)
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Key Characteristics of Experimental Designs
• Random assignment
• Control over extraneous variables
• Manipulation of the treatment conditions
• Outcome Measures
• Group Comparisons
• Threats to validity
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Random assignment
Randomly assign individuals at random conditions or to groups
• Random assignment equates groups and distributes variability between or among groups and conditions
• Different from Random Selection which is selection of participants at random
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Control over extraneous variables
• Extraneous Variables: influences in participant selection, procedures, statistics, or the design likely to affect the outcome and provide an alternative explanation results than what was expected.
• Random assignment helps to control for extraneous variables
• Done before the experiment begins
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Control over extraneous variables
Other control procedures– pretest/posttest– covariates– matching participants– selecting homogenous samples– using blocking variables
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Pre-Test and Post-Tests
Time 1 Time 2
Pre-Test Post-Test
Intervention
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Controlling for Covariates
DependentVariable
IndependentVariable
No Covariates
Covariate Introduced
Covariate:Parents Who
Smoke
VarianceRemovedVariance
DependentVariable:Rates of Smoking
IndependentVariable: Typeof Instruction
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Matching Process Based on Gender
ExperimentalGroup
ControlGroup
JohnJimJamesJoshJacksonJaneJohannaJulieJeanJeb
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Manipulation of the treatment conditions
• Identify a treatment variable
• Identify the conditions or levels of the treatment variable
• Manipulate the treatment conditions
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The Experimental Manipulation of a Treatment Group
Independent Variables1. Age (can’t manipulate)
2. Gender (can’t manipulate)
3. Types of Instruction (can manipulate)
a. Lecture (control)
b. Lecture + Hazard Instruction (Comparison)
c. Lecture + Hazard Instruction + slides of damaged lungs (experiment)
Dependent Variable
Frequency of
Smoking
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Outcomes
• Criterion or effect variable
• Outcome variable
• Measured on a continuous scale
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Group comparisons in an experiment
+
* p<.05
Phase 1: Relationship PictureError Correction Treatment Spelling Accuracy
Phase 2: Timeline Picture Test 1 Test 2 Test 36 Weeks 6 Weeks 6 Weeks6 Weeks 6 Weeks 6 Weeks
Class A: Regular Spelling Practice (Control)Class B: Reduced word list (Comparison)
Phase 3: Statistical ComparisonsClass A Class B Class C F-value
Test 1
Test 2
Test 3
10.3(3.6)
10.7 (3.3)
11.1(3.3)
10.8(4.3)
10.6(3.8)
10.3(3.6)
9.9(3.9)
13.9(4.2)
13.1(3.8)
0.27
4.90*
3.31*
Error Correction Treatment 6 Weeks 6 Weeks 6 Weeks
Class C: Error Correction (Experimental)
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Threats to internal validity
• History
• Maturation
• Regression
• Selection
• Mortality
• Interactions with selection
• Diffusion of treatments• Compensatory
equalization• Compensation rivalry• Resentful
demoralization• Testing• Instrumentation
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Threats to external validity
• Interaction of selection and treatment
• Interaction of setting and treatment
• Interaction of history and treatment
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Types of experiments: Between groups
• True Experiments– Pre- and posttest– Posttest Only
• Quasi Experiments– Pre– Posttest – Factorial Designs
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Means and Main Effects of Eight groups in Factorial Design
Depression
Mean rateof
smoking
LowMean rate
ofsmoking
Mean rateof
smoking
Mean rateof
smoking
Mean rateof
smoking
Mean rateof
smoking
Health lecture
Type of Instruction
Standard lecture
Main Effectsof Type ofInstruction
Main Effects ofDepression
Medium High
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Graphs Showing Main and Interaction Effects
High
LowLow Medium HighHigh
LowLow Medium High
High
LowLow Medium High
(a) No Interaction Effects(Parallel)
Extent of Smoking
Extent of Smoking
Extent of Smoking
(b) Interaction Effects(Crossed)
(c) Interaction Effects(Not Parallel)
Standard lecture
Health lecture
Standard lecture
Health lecture
Standard lecture
Health lecture
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Types of Experiments: Within-group or individual
• Time series experiments– interrupted– uninterrupted
• Repeated measures experiments
• Single-subject experiments– A/B design– Multiple baseline design– Alternating treatments
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Steps in Conducting Experimental Research
• Decide if an experimental design fits research problem
• Form cause/effect hypotheses• Select experimental unit and identify study
participants• Select an experimental treatment and introduce it• Choose a type of experimental design• Conduct the experiment• Organize and analyze the data• Develop an experimental research report
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Criteria for Evaluating Experimental Research
• Does the experiment have a powerful intervention?• Does it employ few treatment groups (e.g. only two)?• Will participant gain from the intervention(s)?• Is there a systematic way the researcher derived the
number of participants (cell size)?• Was there an adequate number of participants used in
the study?• Were valid, reliable, and sensitive measures or
observations used?• Did the study control for extraneous factors?• Did the researcher control for threats to internal
validity?