Hello,
i'm conducting a research with active and faling companies. So my dependent variable is a categorical one with faling(0) and active(1). All my independent variables are scale variables. As i'm testing the assumptions for LDA ( equal variance, normal distribution, means, ...) i have to conclude that no test is affirmative. ( No equal variances, no normal distributions, ...) Since i think about my data it's logical that one group (faling) is totally different than the other group(active). Can i solve these assumptions? or can i ignore some assumptions? I've based my choice for this method on the literature and i would like to use this method ( Since it's used a lot in literature for the same concept). The only difference is the data and different years.
Although i have a huge dataset - so the normal distribution can be refuted- the other tests are negative.
Kind regards,
Olivier De Keyzer
i'm conducting a research with active and faling companies. So my dependent variable is a categorical one with faling(0) and active(1). All my independent variables are scale variables. As i'm testing the assumptions for LDA ( equal variance, normal distribution, means, ...) i have to conclude that no test is affirmative. ( No equal variances, no normal distributions, ...) Since i think about my data it's logical that one group (faling) is totally different than the other group(active). Can i solve these assumptions? or can i ignore some assumptions? I've based my choice for this method on the literature and i would like to use this method ( Since it's used a lot in literature for the same concept). The only difference is the data and different years.
Although i have a huge dataset - so the normal distribution can be refuted- the other tests are negative.
Kind regards,
Olivier De Keyzer