A Guide to R for Social and Behavioral Science Statistics (Gillespie Brian Joseph)(Paperback)

A Guide to R for Social and Behavioral Science Statistics (Gillespie Brian Joseph)(Paperback)

A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R, geared toward social and behavioral science students. Instructors Brian Gillespie, Kathleen Hibbert, and William E. Wagner, III, have combined a review of introductory statistics with an

Statistics: A Tool for Social Research and Data Analysis (Healey Joseph F.)(Paperback)

Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most

SPSS Statistics for Dummies (McCormick Keith)(Paperback)

The fun and friendly guide to mastering IBM's Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis

Efficient R Programming: A Practical Guide to Smarter Programming (Gillespie Colin)(Paperback)

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively--until now. This hands-on book

Statistics for the Behavioral Sciences (Gravetter Frederick J.)(Paperback)

Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE

Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction (Imbens Guido W.)(Pevná vazba)

Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with

Essentials of Statistics for the Behavioral Sciences (Gravetter Frederick J.)(Paperback)

Updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, hands-on learning tools and real-world examples to help you go beyond memorizing formulas to truly understanding the hows

Data Management in R: A Guide for Social Scientists (Elff Martin)(Paperback)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Quantitative Social Science: An Introduction in Stata (Imai Kosuke)(Paperback)

The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in

Advanced Statistics for the Behavioral Sciences: A Computational Approach with R (Brown Jonathon D.)(Pevná vazba)

Teaches core subjects students need to both understand and perform computer-generated statistical analyses2. Builds on Brown's earlier book on common statistical analyses, Linear Models in Matrix Form​ (Springer, 2014)3. Utilizes R as standard tool for algebraic calculations

Basic SPSS Tutorial (Grotenhuis Manfred Te)(Paperback)

This supplementary book for the social, behavioral, and health sciences helps readers with no prior knowledge of IBM(R) SPSS(R) Statistics, statistics, or mathematics learn the basics of SPSS. Designed to reduce fear and build confidence, Basic SPSS Tutorial by Manfred te Grotenhuis and Anneke

Quantitative Social Science: An Introduction (Imai Kosuke)(Paperback)

An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little

Statistics for Engineering and the Sciences Student Solutions Manual (Mendenhall William M.)(Paperback)

A companion to Mendenhall and Sincich s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises

Research Methods for the Behavioral Sciences (Stangor Charles)(Paperback)

Appropriate for those who will be working in the social sciences, this book offers comprehensive coverage of both experimental and non-experimental methods. The author provides succinct explanations for a full range of methods, including descriptive, correlational, experimental, and

Data Management in R - A Guide for Social Scientists (Elff Martin)(Pevná vazba)

An invaluable, step-by-step guide to data management in R for social science researchers. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and

Introduction to Nonparametric Item Response Theory (Sijtsma Klaas)(Paperback)

This book introduces social and behavioral science students and researchers to the theory and practice of the highly powerful methods of nonparametric item response theory (IRT). Anyone who uses or constructs tests or questionnaires for measuring abilities, achievements, personality traits,

A Mathematical Primer for Social Statistics (Fox John)(Paperback)

A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic 'language' of matrices and linear algebra and its visual representation, vector geometry; differential and integral

Medical Statistics: A Textbook for the Health Sciences (Walters Stephen J.)(Paperback)

The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little

Research Methods - A Practical Guide for the Social Sciences (Matthews Bob)(Paperback / softback)

Junior Illustrated Science Dictionary (Gillespie Lisa Jane)(Paperback / softback)

A new science dictionary ideal for students and parents alike. Full of clear, straightforward explanations of the key terms and concepts from KS2 and up, with hundreds of useful examples and illustrations. Follows the success of the Junior Illustrated Maths

Behavioral Science and Public Policy (Sunstein Cass R.)(Paperback)

Exploring theory and practice, this Element attempts to provide one-stop shopping for those who are new to then intersection between behavioral science and public policy, and for those who are familiar with it. With reference to nudges, taxes, mandates, and bans, it offers concrete examples of

Multiple Case Study Analysis (Stake Robert E.)(Paperback)

Examining situational complexity is a vital part of social and behavioral science research. This engaging text provides an effective process for studying multiple cases--such as sets of teachers, staff development sessions, or clinics operating in different locations--within one complex program

Statistics II for Dummies (Rumsey Deborah J.)(Paperback)

The ideal supplement and study guide for students preparing for advanced statistics Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis

Statistics Explained 2ed (McKillup Steve)(Paperback)

An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students