Soft modeling methods range from very general approaches, such as evolving factor analysis (EFA) [3], which is particularly used to estimate the number of species involved in equilibrium studies and the kinetic process by repeated factor analysis of rationally selected subsets of spectra.
Given the large sample size, the stability of the final four factor solution was determined by repeating exploratory factor analysis of ZSDS items separately on females and males and on patients aged ≤ 65 years and > 65 years, respectively.
A repeat factor analysis using the subsequent values after imputation demonstrated the same factor structure and similar factor loadings.
Repeating the factor analysis with the shortened list, the total variance explained was determined.
The stability of the variables entered in the final model was examined by repeating the analysis excluding each factor in turn.
We investigated these alternatives by repeating our analysis with drug class, drug, or species as explanatory factors.
However, this study was exploratory in nature and examined preliminary hypotheses, so ongoing research is needed to investigate the influence of these, and other factors, perhaps by repeating the same analysis once more meta-reviews were published.
The effect of different Lf concentrations on lag time, slope, and maximum absorbance was tested by repeated measures analysis of variance with concentration as a within factor.
For statistical analysis, ERPs were analysed by repeated measures Analysis of Variance (ANOVA).
Data were analyzed by means of confirmatory factor analysis, repeated measures ANOVA, and path analysis.
