It really depends on how selective the missing data is. You should look at how sample statistics differ for variables without missing for those with 50% or 33% missing(on other variables) versus those without that missingness. 33% missing may still be too high.
Thank you for your response. I am not sure I understand what you mean. I ran descriptives for the group with 33% missing data and those not missing that data. How can I tell how selective the missing data is?