| A | B |
|---|
| CAUSAL COMPARATIVE | a non-experimental technique which starts with known groups (prospective) or known outcomes (retrospective) and attempts to infer the causes |
| CORRELATION | the relationship between two variables |
| CURVILINEAR | correlations in which the correlation is negative over part of the range of the predictor variable, and positive over another part of that range |
| LINEAR | correlations in which the scatterplot can represent the relationship between the two variables as a straight line |
| MODERATE CORRELATION | correlations between +.35 and +.65 (or -.35 and -.65) |
| STRONG CORRELATION | a high correlation (between -.65 and -1.00 or between +.65 and +1.00), due to there being few exceptions to the trend |
| WEAK CORRELATION | a correlation close to zero (between -.35 and +.35) due to there being so many exceptions to the trend |
| POSITIVE CORRELATION | a direct correlation between two variables; when one is high, so is the other; when one is low, so is the other |
| NEGATIVE CORRELATION | an inverse relationship between variables; when one is high the other is low |
| PROSPECTIVE | a causal comparative design where we start with two existing groups and then see if this is associated with later differenes on the dependent variable |
| RETROSPECTIVE | a causal comparative design where we start with dependent variable differences and go back and look at potential causes |
| SPEARMAN COEFFICIENT | a rank order coefficient of correlation |
| PEARSON COEFFICIENT | the product moment coefficient appropriate for variables that are normally distributed on a ratio or interval scale |
| FACTORIAL | one cause is a factor, considering several possible causes is multi |
| ORGANISMIC VARIABLES | background variables such as age, gender, ethnicity |
| PREDICTOR | a variable used to predict the criterion variable |
| CRITERION | the dependent variable that we are trying to predict |
| INTERCEPT | where the regression line intersects the Y axis |
| SLOPE | the rise over the run of the regression line |
| COEFFICIENT OF DETERMINATION | squaring the Pearson coefficient gives this |
