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Statistical inferences for sample correlation matrices are important in high dimensional data analysis.Motivated by this,this paper establishes a new central limit theorem(CLT)for a linear spectral statistic(LSS)of high dimensional sample correlation matrices for the case where the dimension p and the sample size n are comparable.