Repeated Measures_Sp08_BB_nocolor

Repeated Measures_Sp08_BB_nocolor - Introduction Rare that...

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1 Dependent t-Test Introduction Rare that you know the population mean – 1 Sample t-Test More likely comparing samples: 1. Dependent t-Test Within-Subjects t-Test Repeated Measures t-Test 2. Independent t-Test Between Subjects t-Test Dependent t-Test A dependent t-test is the test statistic for two types of research designs: 1. Repeated-Measures Design Test Retest Dependent t-Test • We’ve seen this type of design before…where? – Sign test! • What’s different? – For the dependent t-Test you keep the magnitude. • Not changing to nominal data.
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2 Dependent t-Test 2. Matched-Subjects Design Dependent t-Test • Based on the difference scores rather than the raw scores Difference Scores : For each person, subtract one score from the other Assumptions 1. Normality of the population t-Tests are robust to moderate violations of the normality assumption No Independence Assumption between conditions! When to use: Dependent t-Test • Interval/ratio data • No information on population parameters (μ, σ ) • Comparing mean differences ( M D ) based on difference scores – Same (or matched) subjects tested twice • Only one IV – Only two levels
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3 • Same procedure as t test for single sample, except – Use difference scores
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Repeated Measures_Sp08_BB_nocolor - Introduction Rare that...

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