Term
|
Definition
| chance of rejecting a null hypothesis that is true |
|
|
Term
|
Definition
| statistical significance; chance a researcher is willing to take of committing a type I error (smaller alpha = more significant findings) |
|
|
Term
|
Definition
|
|
Term
|
Definition
| variable measured with an ordinal scale (S,M,L,XL) |
|
|
Term
|
Definition
| variables sorted into categories (also "discrete" or "nominal") |
|
|
Term
|
Definition
| uses only 2 digits (usually 0 and 1) |
|
|
Term
|
Definition
| questionnaire format: stongly agree, agree...stongly disagree |
|
|
Term
|
Definition
|
|
Term
|
Definition
| square root of variance; dispersion of scores in a distribution |
|
|
Term
|
Definition
| effect of a study; depends on independent variable |
|
|
Term
|
Definition
| cause of a study; used to predict dependent variable |
|
|
Term
|
Definition
| range of values of a sample statistic that is likely to contain population parameter |
|
|
Term
|
Definition
| the extent to which a measure is free of systemic error (requires reliability) |
|
|
Term
|
Definition
| freedom from measurement error (doesn't necessarily mean validity) |
|
|
Term
|
Definition
| measure of the joint variance of 2 variables (often reported as r, correlation coefficient) |
|
|
Term
|
Definition
| ability of a test to detect statistical power (0-1, 1 best, .8 acceptable) |
|
|
Term
|
Definition
| number needed to treat (in order to prevent 1 bad outcome) |
|
|
Term
|
Definition
| positive test result and correctly diagnosed |
|
|
Term
|
Definition
| negative test result who are really negative |
|
|
Term
|
Definition
| likelihood that person with disease will have positive test |
|
|
Term
|
Definition
| likelihood that a person without a disease will have a negative test |
|
|
Term
|
Definition
| findings; must be less than alpha to be significant |
|
|
