Two-way repeated-measures analyses of variance (ANOVAs) were applied to the dependent variables, depending on the conditions, to investigate differences between groups and / or conditions.
There were seven independent variables and either two or four dependent variables, depending on the response condition.
NC(_{mathrm{i}}) may be a variable or a vector of variables depending on whether we include one or many of the measures for non-cognitive skills in the regression.
The use of a larger number of possible states allows a finer discretization of experimental data and more than one possible mode of action for the variables, depending on threshold values.
The relationship between potential factor of diaphragm dysfunction and the four predefined patterns of diaphragm dysfunction was evaluated in a univariate model (one-way ANOVA or Kruskal Wallis test for continuous variables depending on distribution; Chi-square test or Fisher's exact test for categorical variables depending on size).
Note that all other variables depending on the powers, such as A ji, will be considered dependent on the average channels h ji.
In addition, we will test for differences in sociodemographic and baseline clinical characteristics between groups using χ² tests for categorical variables and one-way analysis of variance or Kruskal-Wallis tests for continuous variables depending on the distribution.
Note that is a random variables depending on the channel realization.
On the other hand, there are considerable differences between other variables depending on the model.
We assigned different values for variables depending on the contribution to product innovation of each customer's participation methods.
Hence, changes of state variables depending on different machining parameters and the varying dissipated energy were considered.
