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Chapter 10 Experiments McGraw-Hill/Irwin Business Research Methods, 10eCopyright © 2008 by The McGraw-Hill Companies, Inc. All Rights Reserved.
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10-2 Learning Objectives Understand... Uses for experimentation. Advantages and disadvantages of the experimental method. Seven steps of a well-planned experiment. Internal and external validity with experimental research designs. Three types of experimental designs and the variations of each.
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10-3 PulsePoint: Research Revelation 826 The average dollar amount spent each year per employee on employee on training.
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10-4 Experiments Challenge Perceptions “We need to keep an open mind and approach life as a series of experiments. We need to observe the experiments happening around us and create new ones. Instead of accepting the world as we think it is, we need to keep testing it to find out what it is and what works.” Jerry Wind, Wharton School of Business, University of Pennsylvania
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10-5 Causal Evidence Agreement between IVs and DVs Time order of occurrence Extraneous variables did not influence DVs
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10-6 Causal Evidence
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10-7 Evaluation of Experiments Advantages Ability to manipulate IV Use of control group Control of extraneous variables Replication possible Field experiments possible Disadvantages Artificiality of labs Non-representative sample Expense Focus on present and immediate future Ethical limitations
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10-8 Experimentation in the Research Process
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10-9 Conducting an Experiment Specify treatment levels Control environment Choose experimental design Select and assign participants Pilot-test, revise, and test Collect data Analyze data Specify treatment variables
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10-10 Experiment: Placement of Benefits Module
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10-11 Selecting and Assigning Participants Random assignment Matching
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10-12 Random Assignment
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10-13 Quota Matrix Example
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10-14 Measurement Options Scaling techniques Physiological measures Physiological measures Options Paper-and- pencil tests Observation Self- administered instruments
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10-15 Validity in Experimentation ExternalInternal
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10-16 Threats to Internal Validity Threats MaturationHistoryTesting Instrumentation Selection Statistical regression Experimental mortality
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10-17 Additional Threats to Internal Validity Diffusion of treatment Compensatory equalization Compensatory rivalry Resentful disadvantaged Local history
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10-18 Threats to External Validity Reactivity of testing on X Interaction of selection and X Other reactive factors
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10-19 Experimental Research Designs Pre-experiments True experiments Field experiments
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10-20 After-Only Case Study X O Pre-experiment
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10-21 One Group Pretest-Posttest Design O 1 X O 2 Pre-experiment
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10-22 Static Group Comparison X O 1 O 2 Pre-experiment
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10-23 Pretest-Posttest Control Group Design RO1XO2RO3O4RO1XO2RO3O4 True experiment
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10-24 Posttest-Only Control Group Design True experiment RXO1RO2RXO1RO2
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10-25 Nonequivalent Control Group Design O1XO2O3O4O1XO2O3O4 Field experiment
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10-26 Separate Sample Pretest-Posttest Design RO 1 (X) R XO 2 Field experiment
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10-27 Group Time Series Design R O 1 O 2 O 3 X O 4 O 5 O 6 R O 7 O 8 O 9 O 10 O 11 O 12 Field experiment
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10-28 Job Enrichment Quasi-Experiment
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10-29 Experiment: Finding the Store Design
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10-30 Experiment: The Right Size of Flavor
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10-31 Key Terms Blind Control group Controlled test market Dependent variable Double-blind Environmental control Experiment Experimental treatment External validity Field experiment Hypothesis Independent variable Internal validity
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10-32 Key Terms Matching Operationalized Quota matrix Random assignment Replication Test market –Electronic test market –Simulated test market –Standard test market –Virtual test market Treatment levels Web-enabled test market
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Appendix 10b Test Markets
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10-34 Test Market Selection Isolation Control of distribution Control of distribution Criteria Representative Over-testing Media coverage Multiple locations
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10-35 Types of Test Markets Standard Controlled Electronic Simulated Virtual Web-enabled
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10-36 Test Market Cities
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