Using Stata for Quantitative Analysis is a supplemental text for undergraduate and graduate level courses involving research methods and statistical analysis. The manual will be written so that a wide variety of fields that offer such courses would be able to adopt it. Instructors most likely to adopt would include sociology, political science, economics, and psychology. These fields share a relatively similar approach to quantitative analysis and are all part of the trend towards using Stata as their primary statistical program

Kycle C Longest proposes to teach the language of Stata from an intuitive perspective, furthering students' overall retention, allowing for a student with no experience in statistical software to be able to sit down and be working with data in a very short amount of time.

Features and Benefits:

@1 Stata screen shots provided throughout chapters to aid student comprehension

@! Examples of commands and procedures using real data from the General Social Survey will be provided.

@! 'A Closer Look' boxes (similar to Frankfort-Nachmias) will provide additional information on more advanced topics.

@! Self-teaching style will allow novice Stata users ability to complete a basic quantitative research project from start to finish.

@! Exercises at ends of chapters will have answers provided to help students master Stata

About the Author

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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