| A | B |
|---|
| AFFECTIVE | referring to the emotions |
| COGNITIVE | referring to concepts & problem solving |
| ANALYTICS | the analysis of digital information "big data" |
| APTITUDE | a test measuring future performance |
| NOMINAL | scale which measures a variable by classifying each subject into a category |
| CORRELATION | the association between two variables |
| CEILING EFFECT | when the mode is at the high end of the possible range |
| FLOOR EFFECT | when the mode is at the low end of the potential range |
| CHI SQUARED | an inferential test for data arranged in rows and columns |
| CONSTRUCT | an abstraction used to explain behavior |
| DATA | information (plural word) |
| DEPENDENT | the variable reflecting an outcome (e.g., behavior, performance, attitudes) |
| DF | degrees of freedom |
| DUMMY | coding a binary nominal variable as 0 and 1 |
| INFERENTIAL | statistics used to estimate the probability of the null hypothesis |
| FALSE POSITIVE | a person who scores high on a test, but is actually low on the variable |
| FALSE NEGATIVE | a person who scores low on a test, but is really high on the variable |
| LIKERT | a scale measuring a subject's level of agreement with a statement |
| MEDIAN | a measure of central tendency which is the score attained by the person in the middle |
| N | symbol for sample size |
| NON-PARAMETRIC | statistical tests appropriate for data from distributions that are not normally distributed |
| NULL | the hypothesis which claims that any observed differences are due to random variation |
| ORDINAL | a scale of measurement in which subjects are ranked |
| POWER | the ability of a statistical test to avoid type II error |
| RANDOM | sampling in which each subject in the population has an equal chance to be selected |
| RELIABILITY | consistency of measurement |
| SKEW | when a data set is not symmetrical, but has some extremely high or low scores |
| VALIDITY | when a test measures the variable it is supposed to measure |
| SPSS | a good, but very expensive statistical program |
| TYPE I ERROR | the mistake of prematurely rejecting the null hypothesis |
