This allowed us to not only analyze all of the dependent variables
in our sample, but also to specifically focus on performance as a dependent variable
The third criterion used to identify the final models is whether or not the efficient models for each dependent variable
meet four common linear regression assumptions.
All of the independent variables were entered into stepwise regression models for each of the dependent variables
examined in this research.
Trend references the rate of increase or decrease of the best-fit straight line for the dependent variable
within a condition (i.
Many human aggregates in all parts of the world have evolved culture patterns--time-binding structural relationships--that so little disturbed the equilibrium developed among the dependent variables
of the physical environment in which they live that, measured by the biological criterion of survival, they have been extremely successful.
Sweeny and Ulveling (1972) suggested a process, referred to as Shifting Process II, for shifting the interpretative framework of the coefficients to an "average," where the "average" is indeed the overall mean of the dependent variable
Unfortunately, Campbell rejects all means of controlling for those ups and downs that do not involve the use of a dependent variable
lagged one or two quarters--a flawed practice for two reasons.
Results revealed that UN, CSH, TOEPH, ARH(1), ANTE(1) and UNR heterogeneous variance- covariance models were the best model group in modeling the variance- covariance matrix structure regarding the dependent variable
and CS, TOEP and AR(1) homogeneous variance- covariance models were the worst model group.
The logarithmic gains simply represent the percentage change in the logarithmic value of the steady state of a dependent variable
and net flux or local flux as a result of an infinitesimal change in the logarithmic value of an independent variable , which are computed as follows:
3 provides a variety of measures assessing the success of the model in predicting the dependent variable
Likewise, a negative correlation exists when a decrease in the value of x results in an increase in the value of y Thus, a negative correlation occurs when the value of the dependent variable
moves in a direction opposite to that of the independent variable.
The dependent variable
in the first three columns of Table 3 is a fatal or incapacitating injury.