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Measurement and Statistics_Dasch_Date__041410

# Measurement and Statistics_Dasch_Date__041410 - ← ← for...

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T-Tests - allows us to compare between 2 groups Independent - compares two means based on independent data - also called independent measures or independent samples t-test Dependent T- test - compares two means based on related data data from the same people measured at different times - also called matched pairs or paired samples t-test Equation T = (observed difference between sample means) – (expected difference between population means if null hypothesis is true = 0) (estimate of the standard error of the difference between two sample means) T= (observed difference between sample means) (estimate of the standard error of the difference between 2 sample means)

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Unformatted text preview: ← ← for dependent: t = observed D – Mu of D ← standard dev of D/square root of N ← ← effect size: r = SQUARE ROOT(t 2 – (t 2 + df)) know for test ← ← Dependent T-test in SPSS ← Analyze compared means paired sample T-test ←- move both variables over ←- if one-tailed, divide significance by 2 ←- if significant, groups are different • look at means to see which is higher • if t is negative, means the second condition is higher • if t is positive, the first condition is higher ← ← “there is a significant difference in ______ and _____ such that it is higher in _____ condition” ←...
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Measurement and Statistics_Dasch_Date__041410 - ← ← for...

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