I’m currently doing my undergraduate thesis project and i’m about to start analyzing the results of my regressions but i don’t understand what the dispersion parameter in a binomial regression means.

To be more precise, i’ve searched around and from what i understand the dispersion parameter in a binomial regression should be always a fixed 1. But in my binomial regressions it’s way more than that. As you can see below. the dispersion parameter is taken to be “429264.1”, Is this normal?

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I did another binomial regression but with a logit link instead or a probit one and the dispersion parameter changed to a lower number but it is still larger than 1. It is “367.2509”

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What am i missing here? Is this something to worry about?

I tried to use different types of binomial regressions, like logit and probit, i also searched a little online but it is too difficult for me to completely understand the statistics and formulas behind it.

Thanks for the help.