Statistics Using Stata uses a highly accessible and lively writing style to seamlessly integrate the learning of the latest version of Stata (17) with an introduction to applied statistics using real data in the behavioral, social, and health sciences. The text is comprehensive in its content coverage and is suitable at undergraduate and graduate levels. It requires knowledge of basic algebra, but no prior coding experience. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes a .do-file for each chapter, that was used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter.

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.

Diversity has been a focus of higher education policy, law, and scholarship for decades, continually expanding to include not only race, ethnicity and gender, but also socioeconomic status, sexual and political orientation, and more. However, existing collections still tend to focus on a narrow definition of diversity in education, or in relation to singular topics like access to higher education, financial aid, and affirmative action. By contrast, Diversity in American Higher Education captures in one volume the wide range of critical issues that comprise the current discourse on diversity on the college campus in its broadest sense.

This edited collection explores:

• legal perspectives on diversity and affirmative action
• higher education's relationship to the deeper roots of K-12 equity and access
• policy, politics, and practice's effects on students, faculty, and staff.

Bringing together the leading experts on diversity in higher education scholarship, Diversity in American Higher Education redefines the agenda for diversity as we know it today.

Diversity has been a focus of higher education policy, law, and scholarship for decades, continually expanding to include not only race, ethnicity and gender, but also socioeconomic status, sexual and political orientation, and more. However, existing collections still tend to focus on a narrow definition of diversity in education, or in relation to singular topics like access to higher education, financial aid, and affirmative action. By contrast, Diversity in American Higher Education captures in one volume the wide range of critical issues that comprise the current discourse on diversity on the college campus in its broadest sense.

This edited collection explores:

• legal perspectives on diversity and affirmative action
• higher education's relationship to the deeper roots of K-12 equity and access
• policy, politics, and practice's effects on students, faculty, and staff.

Bringing together the leading experts on diversity in higher education scholarship, Diversity in American Higher Education redefines the agenda for diversity as we know it today.

Written in a clear and lively tone, Statistics Using IBM SPSS provides a data-centric approach to statistics with integrated SPSS (version 22) commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. With one hundred worked examples, the textbook guides students through statistical practice using real data and avoids complicated mathematics. Numerous end-of-chapter exercises allow students to apply and test their understanding of chapter topics, with detailed answers available online. The third edition has been updated throughout and includes a new chapter on research design, new topics (including weighted mean, resampling with the bootstrap, the role of the syntax file in workflow management, and regression to the mean) and new examples and exercises. Student learning is supported by a rich suite of online resources, including answers to end-of-chapter exercises, real data sets, PowerPoint slides, and a test bank.