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Hi pals,

Not sure if this is a new topic. But when I recently did a bootstrapping, I realised that the P-values shows significant, but CI bias-corrected crosses "0". Like to seek advice on what could be the problem and how should I interpret this result ? Appreciate guidance on this.

The p-value is based on the t-value and thus makes distribution assumptions about the variability of the coefficient (t-distribution). You will get corresponding confidence intervals if you choose Studentized Bootstrap. Studentized confidence intervals are symmetric and will give you the same result as the p-value based assessment.
However, your coefficients sampling distribution may not be symmetric. It might be slightly skewed or peaked, etc. In those cases the non-parametric bias-corrected percentile or bias-corrected and accelerated (BCa) intervals might be better.
Generally, it is hard to know which interval method is best, but the studentized confidence interval is the least used in PLS to avoid making distributional assumptions.

Thank you Dr Becker for the guidance.