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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.
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.
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.
Regression and Other Stories
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Statistics for the Social Sciences
The second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition 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.
Logit Models from Economics and Other Fields
Logistic models are widely used in economics and other disciplines and are easily available as part of many statistical software packages. This text for graduates, practitioners and researchers in economics, medicine and statistics, which was originally published in 2003, explains the theory underlying logit analysis and gives a thorough explanation of the technique of estimation. The author has provided many empirical applications as illustrations and worked examples. A large data set - drawn from Dutch car ownership statistics - is provided online for readers to practise the techniques they have learned. Several varieties of logit model have been developed independently in various branches of biology, medicine and other disciplines. This book takes its inspiration from logit analysis as it is practised in economics, but it also pays due attention to developments in these other fields.
Data Analysis for Business, Economics, and Policy
A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Biostatistics with R
A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
