Adjusted R2 Multiple coefficient of determination adjusted for sample size and number of independent variables. It is a better estimate of the parameter than is the unadjusted sample multiple coefficient of determination.
Analyses Used to describe scores on single measures and to identify relationships that may exist between scores across different measures; typically involve the use of statistics.
Assignment error Results because the random allocation of cases to levels of an independent variable typically does not exactly equalize scores on the dependent variable across groups.
Attenuation due to unreliability Formula that estimates the degree to which unreliability in either or both variables reduces a correlation coefficient relative to perfectly reliable measurement of the variables.
Backward unloading stepwise regression Stepwise regression method that deletes independent variables in a statistical model based on their contribution to variance explained and statistical significance.
Bar chart Reports the values of a discrete variable on one axis and the frequency (number and/or percentage) of cases with scores at each value on the other.
Beta coefficient A standardized (mean = 0.0, standard deviation = 1.0 of all variables in the model) regression coefficient. In simple regression the beta coefficient is identical to the simple correlation coefficient.
Between-cases design Design that uses two or more cases or groups of cases in which each case or group experiences different levels of an independent variable. Effect of an independent variable is assessed by