April 16, 2008

# April 16, 2008 - E as variability decreases Omega squared...

This preview shows pages 1–3. Sign up to view the full content.

April 16 Outline I. Independent groups t on SPSS II. Effect size A. Omega squared III. Confidence interval for μ 1 μ 2 crit X X lower t s X X 2 1 ) ( 2 1 - - - = μ crit X X upper t s X X 2 1 ) ( 2 1 - + - = A. Test null hypothesis and estimate real effect IV. Assumptions in using the t test A. Interval or ratio data B. Normal sampling distributions C. Homogeneity of variance (for independent groups t test) D. Effects of violation of assumptions; concept of robustness

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
IV. Power of the t test—power increases A. as N increases B. as the size of the effect of the I.V. increases C. as alpha increases D. when we use a one-tail (rather than two-tail) test
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: E. as variability decreases Omega squared: an estimate of the proportion of the total variability of the dependent variable that is accounted for by the independent variable Homogeneity of variance: the assumption in using the independent groups t test that the two populations from which the samples were drawn have equal variances Robustness: a characteristic of a statistical test describing how sensitive it is to violations of its underlying assumptions; a robust test gives accurate results even if its assumptions are violated...
View Full Document

## This note was uploaded on 04/17/2008 for the course PSYC 241 taught by Professor Jamesantes during the Spring '08 term at North Dakota.

### Page1 / 3

April 16, 2008 - E as variability decreases Omega squared...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online