Discussion 4

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cozby11_ppt_ch091.ppt

CONDUCTING EXPERIMENTS

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Distinguish between straightforward and staged manipulations of an independent variable

Describe the three types of dependent variables

Self-report

Behavioral

physiological

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Discuss sensitivity of a dependent variable, contrasting floor effects and ceiling effects

Describe ways to control participant expectations and experimenter expectations

List the reasons for conducting pilot studies

Describe the advantages of including a manipulation check in an experiment

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Samples May Be Drawn From the Population Using:

Probability sampling

Nonprobability sampling

Sampling must assure external validity to generalize to other populations

Determine the Sample Size

Larger samples provide more accurate estimates of population values

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Setting the Stage

Types of Manipulations

Straightforward manipulations

Staged manipulations

Use of a confederate or accomplice

Strength of Manipulation

Does the study maintain external validity?

Cost of the Manipulation

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Types of Measures

Self-report measures

Behavioral measures

Physiological measures

Galvanic skin response (GSR)

Electromyogram (EMG)

Electroencephalogram (EEG)

Functional MRI (fMRI)

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MEASURING

THE DEPENDENT VARIABLE

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Sensitivity of the Dependent Variable

Ceiling effect

Floor effect

Multiple Dependent Measures

Cost Measures

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MEASURING

THE DEPENDENT VARIABLE

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Controlling for Participant Expectations

Demand characteristics

Using unrelated filler items on a questionnaire

Placebo groups

Can control through the use of placebo effect

Used to assure external validity is maintained

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Controlling for Experimenter Expectations

Experimenter bias or expectancy effects

Research on expectancy effects

Solutions to the expectancy problem

Single-blind experiment

Double-blind experiment

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Research Proposals

Pilot Studies

Manipulation Checks

Debriefing

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Statistical Analysis of the Data

Examine and Interpret the Pattern of Results

Decide whether there really is a relationship between the independent and dependent variables

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© 2012 The McGraw-Hill Companies, Inc.

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Journal Articles

Peer Review

As many as 90% of papers submitted to the more prestigious journals are rejected

Professional Meetings

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