Hi,
This is my first time on this forum so I don't really know how this works. For this reason I will try to explain my problem as extensive as possible.
I am researching the innovativeness of different firm sizes. Beforehand I expected that their would be a positve relation between firm size and innovative output. Due to the fact that all my data is categorical I have used cross tabulations first. Via these cross tabulations a general patter was found that micro firms (1-9 employees) innovate less than small (10-49) and medium-sized firms (50-249). However, the correlation matrix shows a negative correlation of -.15.... This is a contradicting result... The same pattern was found in the binary logistic regression, where the Beta's are as follows
B S.E. Wald df Sig. Exp(B)
Micro: 1.342 .342 15.384 1 .000 3.825
Small: .749 .370 4.100 1 .043 2.116
Medium: 25.960 2 .000
Constant: .616 .346 3.171 1 .075 7.851
When I see these Betas, I interpret them as follows. Micro firms are 1.34 times as innovative als medium-sized firms and small firms are .749 times as innovative. However this is the opposite result that was found in the immediate responses by the firms.... How is this possible?
In the attachement is the logistic regression
Thanks in advance
Maarten
This is my first time on this forum so I don't really know how this works. For this reason I will try to explain my problem as extensive as possible.
I am researching the innovativeness of different firm sizes. Beforehand I expected that their would be a positve relation between firm size and innovative output. Due to the fact that all my data is categorical I have used cross tabulations first. Via these cross tabulations a general patter was found that micro firms (1-9 employees) innovate less than small (10-49) and medium-sized firms (50-249). However, the correlation matrix shows a negative correlation of -.15.... This is a contradicting result... The same pattern was found in the binary logistic regression, where the Beta's are as follows
B S.E. Wald df Sig. Exp(B)
Micro: 1.342 .342 15.384 1 .000 3.825
Small: .749 .370 4.100 1 .043 2.116
Medium: 25.960 2 .000
Constant: .616 .346 3.171 1 .075 7.851
When I see these Betas, I interpret them as follows. Micro firms are 1.34 times as innovative als medium-sized firms and small firms are .749 times as innovative. However this is the opposite result that was found in the immediate responses by the firms.... How is this possible?
In the attachement is the logistic regression
Thanks in advance
Maarten