Use real data, and become a pro at using Excel for statistical analysis! Designed for users already familiar with Excel and basic computer operations, this Second Edition of Neil J. Salkind’s Excel St
Bray's monograph considers the multivariate form of analysis of variance (MANOVA). The primary emphasis of the book is on methods for interpreting MANOVA statistical analyses. These are illustrated th
The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes wor
The Process of Statistical Analysis in Psychology is the latest book by Dawn McBride, the best-selling author of The Process of Research in Psychology. This new text provides students with the backgro
Unlike most statistical texts, this book breathes real life into multivariate analysis. Starting with a range of actual research examples in the social sciences, it demonstrates how to make the most a
Multivariate General Linear Models is an integrated introduction to multivariate multiple regression analysis (MMR) and multivariate analysis of variance (MANOVA). Beginning with an overview of the un
Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used i
Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual o
Although clustering--the classification of objects into meaningful sets--is an important procedure in the social sciences today, cluster analysis as a multivariate statistical procedure is poorly und
Rebecca M. Warner’s bestselling Applied Statistics: From Bivariate Through Multivariate Techniques has been split into two volumes for ease of use over a two-course sequence. This new multivariate sta
Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistic
Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exerc
Brand-new edition of the essential resource adopted on modules in statistical analysis, statistical methods and quantitative geography worldwide. Now fully integrated with online self-assessment exerc
Buy Together and Save Rebecca M. Warner: Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition Applied Statistics: From Bivariate Through Multivariate Techniques, Second E
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on
Applied Statistics I: Basic Bivariate Techniques has been created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques. The author's co
Lab Manual for Psychological Research and Statistical Analysis serves as an additional resource for students and instructors in a research methods, statistics, or combined course where classroom and/o
Lecturers teaching big mixed cohort intro statistics courses cite one of the more frequent challenges their students encounter involves choices over which statistical test to use. Students, even if th
Perspectives on Deviance and Social Control provides a sociological examination of deviance and social control in society. Derived from the same author team’s successful text/reader version, this conc
You can't get anywhere in your statistics course without grasping statistical significance. it's often seen as difficult but is actually a straightforward concept everyone can - and should - understan
Essentials of Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Essential Statistics for the Behavioral Sciences, Second Edition who work with a statistical program other
Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f
Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods f
Understanding Statistical Analysis and Modeling is intended for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of stati
The SAGE Handbook of Process Organization Studies provides a comprehensive and timely overview of the field. This volume offers a compendium of perspectives on process thinking, process organizat
Interdisciplinary Research: Process and Theory provides a comprehensive and systematic presentation of the interdisciplinary research process and the theory that informs it. Presented as a step-by-ste
This book uses intuitive examples to introduce readers to the idea of self-control and its importance for understanding criminal behaviour, and to explore the close connection between self-control and
Edited and written by a team of leading international social scientists, this handbook provides a comprehensive introduction to multivariate methods. The handbook focuses on regression analysis of cro
Provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation and causal-inference problems.
This collection, assembled and introduced by the esteemed editorial team of acclaimed Social Statistics, tracks the development of statistical methods for continuous or interval-scale data. The volume
Written by a sociologist, a graph theorist, and a statistician, this title provides social network analysts and students with a solid statistical foundation from which to analyze network data. Clearl
Multiple Time Series Models introduces researchers and students to the different approaches to modeling multivariate time series data, including simultaneous equations, ARIMA, error correction models,
This expanded and updated Third Edition of Gopal K. Kanji's best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret resul
Quick Guide to IBM® SPSS®: Statistical Analysis With Step-by-Step Examples gives students the extra guidance with SPSS they need without taking up valuable in-class time. A practical, accessible guide
Using Stata for Statistical Analysis, Third Edition is a supplemental book for undergraduate and graduate level courses in research methods and statistical analysis where Stata is used. It can be appl
Employing numerous examples and the pedagogical approach of spaced repetition, this introductory text covers topics with a step-by-step approach to help students understand the full process of de
Operations Management: A Supply Chain Process Approach by Joel D. Wisner is a core text designed for undergraduate students taking an introductory operations management course. Wisner covers both
Deviance and Social Control: A Sociological Perspective, Second Editionserves as a guide to students delving into the fascinating world of deviance for the first time. Authors Michelle Inderbitzin, Kr
This textbook explains the judicial process in the US, covering the foundations of the law; the federal and state judicial systems; jurisdiction and policy making boundaries; the role of state and fed
