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Statistics Using Stata
This textbook integrates the teaching and learning of statistical concepts with the acquisition of the Stata (version 16) software package.
Statistics Using SPSS
Applied statistics text updated to be consistent with SPSS version 15, ideal for classroom use or self study.
Statistics Using Stata
Building upon the success of the first edition, Statistics Using Stata uses the latest version of Stata to meet the needs of today's students. Engaging and accessible for students from a variety of mathematical backgrounds, this textbook integrates statistical concepts with the Stata (version 16) software package. It aligns Stata commands with examples based on real data, enabling students to understand statistics in a way that reflects statistical practice. Capitalizing on Stata's menu-driven 'point and click' and program syntax interface, the chapters guide students from the comfortable 'point and click' environment to the beginnings of statistical programming. Its coverage of essential topics gives instructors flexibility in curriculum planning and provides students with more advanced material to prepare for future work. Online resources - including solutions to exercises, PowerPoint slides, and Stata syntax (do-files) for each chapter - allow students to review independently and adapt code to analyze new problems.
Diversity in American Higher Education
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.
Data Analysis for the Behavioral Sciences Using SPSS
An introductory applied statistics text that can be used at either undergraduate or graduate level.
New Cambridge Statistical Tables
This second edition has all the tables required for elementary statistical methods in the social, business and natural sciences.
Statistical Modeling and Inference for Social Science
Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of interest.
Statistics for the Social Sciences
Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.
Biostatistics with R
A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
Regression and Other Stories
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
