Using Stata for Quantitative Analysis is an applied, self-teaching resource. It is written in such a way that a reader with no experience with statistical software can sit down and be working with data in a very short amount of time. The author proposes to teach the language of Stata from an intuitive perspective, furthering students’ overall retention, using many screen shots from Stata to guide students.
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Kyle C. Longest received his bachelor’s in sociology from Indiana University, and his master’s and Ph.D. in sociology from University of North Carolina at Chapel Hill. Currently, Longest is Assistant Professor in the department of sociology at Furman University, where he teaches “Analysis of Social Data,” “Methods of Social Research,” “Deviance and Social Control,” and “Introduction to Sociology.” Longest has written articles for a variety of publications, including Stata Journal, Journal of Drugs and Issues and Journal of Marriage of Family.
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