With the advance of computing technology, Monte Carlo simulation research has become increasingly popular among quantitative researchers in a variety of disciplines. More and more, statistical methods are being subjected to rigorous empirical scrutiny in the form of statistical simulation so that their limitations and strengths can be understood. With the combination of powerful built-in statistical procedures and versatile programming capabilities, the SAS System is ideal for conducting Monte Carlo simulation research! SAS for Monte Carlo Studies: A Guide for Quantitative Researchers provides a detailed and practical guide for conducting Monte Carlo studies using the SAS System. Quantitative researchers will find this book attractive for its practicality and for its many hands-on application examples of Monte Carlo research.