copyright c 2001 the mcgraw-hill companies, inc.1 chapter 8 quantitative research designs

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Copyright c 2001 The McGraw-Hill Companies, Inc. 1 Quantitative Research Designs

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Copyright c 2001 The McGraw-Hill Companies, Inc. 1

Chapter 8

Quantitative Research Designs

Copyright c 2001 The McGraw-Hill Companies, Inc. 2

The Experimental Framework

Used to determine causation

Conducted in lab or other controlled setting To control for extraneous influences Independent variable is manipulated by

researcher

Participants randomly assigned to conditions or treatments

Copyright c 2001 The McGraw-Hill Companies, Inc. 3

The Classical Experiment

Researcher controls Selection of treatment & control groups – based

on theory Random assignment of participants to

conditions – ensures participants in each condition are equivalent before any treatment

Manipulation checks

Copyright c 2001 The McGraw-Hill Companies, Inc. 4

Posttest Experimental Design

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Pretest-Posttest Experimental Design

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Factorial Experimental Design

Treatment groups based on two or more independent variables

Dependent variable measured once after treatment given

Can test for main and interaction effects

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Longitudinal Experimental Designs

Multiple measurements of the dependent variable

Time between measurements depends on the nature of the communication phenomenon studied

Used for studying training effects or degree of retention

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Evaluating Experimental Design

Strengths

Researcher controls manipulation of IV

Assumes that any effect on DV is the cause of the IV

Precision

Limitations

Not all communication can be studied using experiments

Other external influence may be the cause of DV change

May not reflect reality

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Quasi-Experiments

Researcher relies on natural variation of independent variable

Posttest, pretest-posttest, factorial, and longitudinal designs can be used

Includes mock experiments, simulations, and field experiments

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Non-experimental Designs

Also called correlational or descriptive studiesResearcher does not control manipulation of IVParticipants not randomly assigned to conditionsPredictor and criterion are better labels for IV and DV as they do not imply causality

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Researcher Effects and Procedural Bias

Introduced in interaction with participants Similarity of researcher to participants How researcher communicates to participants Researcher unknowingly encourages desired

responses Demand characteristics created when topic has

socially desirable elements

Use research protocol to detail procedural steps

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Comparing Research Designs