Hi all,

Following my post the other day I am now at the writing up stage of my hierarchical logistic regression.

I inputted 5 variables across 3 blocks, with the 3rd block becoming non-significant.

3 questions really:

1. How do I acknowledge the 3rd block was non-significant in my write up. Do I just say that it was non-significant therefore results reported are for block 2? Or do I need to report the non-significant results and then move on to block 2?

2. When reporting for block 2 - do I report the block significance (.003) or the overall model (.000). I'm thinking overall model? Because I'm concerned with all the variables up until this point as opposed to the addition of the block itself? (Trying to show that I really have thought about this as much as I can!)

3) Do I include all the variables in the table presenting my logistic regression (i.e. all those in the table in the block 3 output) - or just those variables in block 2?

Many thanks in advance for any help or assistance you might be able to provide.

EDIT: I've just realised. That in block 3 - the step/block significance is .179. But the model .000 is still significant. Am I doing this wrong? My reasoning is that I want to try and keep it as simple as possible, thus have as few predictors explaining the biggest amount of variance. Between block 2 and block 3 there is no significant increase in variance, however the model overall is still significant - so should I be reporting it? Got myself confused again!

Following my post the other day I am now at the writing up stage of my hierarchical logistic regression.

I inputted 5 variables across 3 blocks, with the 3rd block becoming non-significant.

3 questions really:

1. How do I acknowledge the 3rd block was non-significant in my write up. Do I just say that it was non-significant therefore results reported are for block 2? Or do I need to report the non-significant results and then move on to block 2?

*So far I am saying something along the lines of:*

"The full model containing all predictors was non-significant X^2 (6, N = 458) = 35.16,"The full model containing all predictors was non-significant X^2 (6, N = 458) = 35.16,

*p*= .179. However the model containing the predictors of smoking, race and mothers weight was statistically significant X^2 (4, N = 458) = 31.72,*p*= .000"2. When reporting for block 2 - do I report the block significance (.003) or the overall model (.000). I'm thinking overall model? Because I'm concerned with all the variables up until this point as opposed to the addition of the block itself? (Trying to show that I really have thought about this as much as I can!)

3) Do I include all the variables in the table presenting my logistic regression (i.e. all those in the table in the block 3 output) - or just those variables in block 2?

Many thanks in advance for any help or assistance you might be able to provide.

EDIT: I've just realised. That in block 3 - the step/block significance is .179. But the model .000 is still significant. Am I doing this wrong? My reasoning is that I want to try and keep it as simple as possible, thus have as few predictors explaining the biggest amount of variance. Between block 2 and block 3 there is no significant increase in variance, however the model overall is still significant - so should I be reporting it? Got myself confused again!

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