women in half of the fields didn’t vary. That’s leads to Adjusted generalized estimating equations used to find the correlation between independent variables and fixed effects. They conducted several analyses like multinomial logistic models to confirm the results they got from the analyses. From the analysis results the authors could comment on the practical implementation of changing the independent variables on the likelihood of having women on board.
The analysis of the collected data allowed the authors to provide us with answers to the previous hypothesizes.
1- Organization size was proved to be associated with female presentation and this already goes with mentioning Studies in U.S. pinpointing the firm size importance for women in the boardroom, with larger companies more likely to have at least one woman on the board (Catalyst, 2004;