New Media Research Methods

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Presentation transcript:

New Media Research Methods Week 6&7

OUTLINE: Week 6: Basic principles of social experiment Week 7: Examples & Practice Week 8: Data analysis

Social Experiments

Experiments involve: Taking action (Manipulation) Observing consequences of that action (Measurement)

Recall: Requirements for claiming a causal relationship? Experiment is the only method to justify a causal relationship.

Topics Appropriate to Experiments Well-suited for projects involving limited and well-defined concepts and propositions. Hypothesis testing Better suited for explanatory than descriptive Small group interaction

The Classical Experiment Major Components Independent and Dependent Variables Pre-testing and Post-testing Experimental and Control Groups Bobo doll experiment Bandura (1986)

Independent and Dependent Variables Independent – Takes the form of a stimulus (present or absent), cause Dependent - Effect

Pre-testing – The measurement of a dependent variable along subjects. Post-testing – The measurement of a dependent variable among subjects after they have been exposed to an independent variable.

Experimental Group – A group of subjects to whom an experimental stimulus is administered. Control Group – A group of subjects to whom no experimental stimulus is administered and who should resemble the experimental group in all other respects.

Hawthorne Effect: Experimenter Effect “Placebo Effect”

The Double-Blind Experiment – An experimental design in which neither the subjects nor the experimenters know which is the experimental and which is the control group.

Selecting Subjects Probability Sampling Randomization – A technique for assigning experimental subjects to experimental and control groups. Matching – The procedure whereby pairs of subjects are matched on the basis of their similarities on one or more variables, and one member of the pair is assigned to the experimental group and the other to the control group.

Variations on Experimental Design (Campbell & Stanley, 1963) Pre-experimental Research Designs One-shot case study – A single group of subjects is measured on a dependent variable following an experimental stimulus. One-group pre-test post-test design – A pre-test is added for the experimental group but lacks a control group. Static-group comparison – Includes experimental and control groups, but no pre-test.

Validity Issues in Experimental Research External invalidity – The possibility that conclusions drawn from experimental results may not be generalizable to the “real” world Internal Invalidity – The possibility that the conclusions drawn from experimental results may not accurately reflect what went on in the experiment itself.

Sources of Internal Invalidity: 1. History 2. Maturation 3. Testing 4. Instrumentation 5. Statistical regression 6. Selection bias 7. Experimental mortality (in treatment group) 8. Demoralization (in control group)

Example

Bystander Intervention in Emergencies: Diffusion of Responsibility Little Yueyue Kitty Genovese

Hypothesis: The more bystanders to an emergency, the less likely, or the more slowly, any one bystander will intervene to provide aid. What would you do to test this hypothesis?

What do you think of this experiment? Design? Sampling? Hawthorne Effect? Threats of Internal Validity: History/Maturation/Testing/Instrumentation /Statistical regression/Selection bias/Experimental mortality (in treatment group)/Demoralization (in control group) Science vs. Art?

The Solomon Four- Group Design

Web-Based Experiments Representative samples are not essential…therefore, volunteers may be used.

“Natural” Experiments Experiments that occur outside controlled settings.

Strengths and Weaknesses of the Experimental Method Strengths of Experimental Method Isolation of experimental variable’s impact over time. Replication Weaknesses of Experimental Method Artificiality of laboratory settings Weak generalizability/External Validity