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This course provides an introduction to the quantitative methods, techniques and statistical analysis of social science data. The first part of the course broadly covers methodology, including research design, measurement, sampling, and ethical considerations in research. The second part of the course provides a practical, "hands-on" experience with data management, organization, and analysis of social science data, as well as the appropriate interpretation, communication, and presentation of statistical results. Topics include: frequency distributions, cross-tabulations, T-Tests, correlation and bivariate regression, inferences, and hypothesis/significance testing. Statistical software, such as SPSS or R Open-Source, are used for the analysis of data from a variety of social science datasets. While no strong.