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Dear all,
I've ran a bootstrap multiple regression in SPSS using the bootstrap module. However, i have some questions regarding the SPSS output and how to report results.
How do i report the multiple correlation coefficient (R square) and the significance of the F-ratio for the overall model for the bootstrap model? Do i use the R square and significance test from the original non-bootstrapped multiple regression? SPSS prints an R square and a significance value for the F-ratio only for the original non-bootstrapped multiple regression but not for the bootstrapped model. Or do i report the results of both models (bootstrapped and non-boootstrapped)?
I am asking this because with the non boostrapped model (5 predictor variables) i get only one significant predictor and marginal significance for the overall model. However, when i do the bootstrap multiple regression i get 2 significant predictors. So, (i might be really wrong) but shouldn't the overall fit of the model also improve with the new bootstrap results?
Also, another question with regards to interpreting the results of multiple regression in general. How do i interpret a multiple regression when the overall model is non-significant or marginally significant but some of the predictors, when looking at the coefficients table, are significant? Can we stil make the claim that these variables are significant predictors of the dependent variable or is this claim kind of compromised due to the non-significance of the overall model?
I'm really looking forward for your help!
Thanks a lot in advance,
Kyriakos
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