Factorial experiments

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Presentation transcript:

Factorial experiments

Types of independent variables Participant (measured) Straightforward manipulations Staged manipulations

Factorial designs More than one IV All possible combinations in the study Why have more than 1 IV?

Null results IV may not be important Maybe didn’t manipulate correctly Confounds Unreliable DV Restricted range (floor and ceiling effects) Didn’t have enough power

Types of DVs Self-report Behavioral Physiological Why have more than 1 DV?

Threats to internal validity History Maturation Testing Instrumentation Regression to the mean Selection Mortality

Test yourself A researcher asks liberals and conservatives to read an article that has the header of either FoxNews or NBC (the article actually came from the AP). Participants then indicate how biased they think the article is against the liberal vs. conservative viewpoint (single scale). IV? DV? Confound? Type of design? How many people to have 10 per? What if he found that liberals perceived the article as more biased, regardless of header? What if he found that liberals perceived the article as more biased when they thought it came from Fox, and conservatives when they thought it came from NBC?