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Lecture15-March+2nd-Beyond+simple+experiment

# Lecture15-March+2nd-Beyond+simple+experiment -...

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Getting to the end! Last exercise available after class Due date is NEXTTuesday, March 9th

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Null hypothesis: There is no difference between the groups being compared Null = nothing, no difference Alternative hypothesis: There is a difference between the groups being compared

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What kind of inferential statistics? Single group experiment Z‐test= when population parameters (μ and σ) are known T‐test = when population parameters are unknown z = M μ σ n t = M μ s n
What kind of inferential statistics? Two groups experiment Independent group t‐test = when scores are independent (between ss design) Correlated groups t‐test = when scores are correlated (matched design, within ss design) t = M 1 M 2 s 1 n 1 + s 2 n 2 t = M D 0 Σ ( D M D ) 2 N 1 n

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Multiple‐group Experiments
Advantages of the Multiple‐group design Statistical analysis of multiple group studies Deciding on the inferential statistics tests

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Compare more than two treatments Compare two treatments to no treatment Compare three or more levels of a treatment Compare treatment to two different control groups (placebo and no treatment)
Eﬃciency Reduce number of experiments (1 instead of 3) Reduce number of participants (3 groups instead of 6) low vs. medium vs. high Low vs. medium stress medium vs. high stress Low vs. high stress

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Eﬃciency Reduce number of experiments & participants Discovering relationship type Functional relationship
Discovering U‐shaped Relationship Memory performance Stress level low medium high

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Discovering U‐shaped Relationship Memory Performance Stress level low medium high
Discovering U‐shaped Relationship Independent Variable Linear Dependent Variable Curvilinear (nonlinear)

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Discovering Nonlinear Relationship DV Quadric(U-shape) IV IV DV S-shape IV DV J-shape IV DV Cubic (double U-shape)
Eﬃciency Reduce number of experiments & participants Discovering relationship type Improve validity External and internal

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