Essentials of Statistics for the Behavioral Science
by Frederick J Gravetter
from Wadsworth Publishing
Gravetter and Wallnau's proven best-seller gives you straightforward instruction, guaranteed accuracy, built-in learning aids, and plenty of real-world examples that will help you understand statistical concepts. The authors take time to explain statistical procedures so that you can go beyond memorizing formulas and gain a conceptual understanding of statistics. The authors also take care to show you how having an understanding of statistical procedures will help you comprehend published findings and will lead you to become a savvy consumer of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support your learning.
Using Multivariate Statistics (5th Edition)
by Barbara G. Tabachnick
from Allyn & Bacon
This book takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS, SPSS, and SYSTAT, some not available in software manuals. The book maintains its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced users with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics. For those interested in statistical analysis.
Statistics
by Robert S. Witte
from Wiley
Drawing upon over 40 years of teaching experience, the authors of this highly accessible book provide a clear and methodical approach to essential statistical procedures. They use plain language to explain concepts, employ engaging examples, and incorporate extensive exercises to insure a better understanding of the material. The book successfully demystifies such commonly troublesome topics as the standard deviation, hypothesis testing, confidence intervals, degrees of freedom, p-values, and estimates of effect size. Throughout its pages, concepts are emphasized rather than computations.
Fundamental Statistics for the Behavioral Sciences
by David C. Howell
from Wadsworth Publishing
David Howell's practical approach focuses on the context of statistics in behavioral research, with an emphasis on looking before leaping; investigating the data before jumping into a test. This provides you with an understanding of the logic behind the statistics: why and how certain methods are used rather than just doing techniques by rote. Learn faster and understand more because Howell's texts moves you beyond number crunching, allowing you to discover the meaning of statistical results and how they relate to the research questions being asked.
Mail and Internet Surveys: The Tailored Design Method 2007 Update with New Internet, Visual, and Mixed-Mode Guide
by Don A. Dillman
from Wiley
A crucial resource for increasing response rates and obtaining high-quality feedback from mail, electronic, and other surveys
Don Dillman's Mail and Internet Surveys, Second Edition has been the definitive guide for creating and conducting successful surveys using both traditional and new media channels. Now, this special 2007 Update of the classic text features major additions covering the latest developments in online survey design and administration.
Like its predecessor, this resource lays out a complete, start-to-finish guide for determining the needs of a given survey, designing it, and effectively administering it. Drawing on social science, statistics, and proven best practices, Dillman's text discusses surveys for a variety of purposes, audiences, and situations.
New and updated material covers both the principles behind and directions for how to:
- Conduct Web surveys
- Visually design questionnaires
- Use paper mailed surveys
As insightful and practical as its classic original, Mail and Internet Surveys, Second Edition, 2007 Update is a crucial resource for any researcher seeking to increase response rates and obtain high-quality feedback from mail, electronic, and other self-administered surveys.
Principles and Practice of Structural Equation Modeling, Second Edition (Methodology In The Social Sciences)
by Rex B. Kline
from The Guilford Press
Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence
by Judith D. Singer
from Oxford University Press, USA
Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models.
Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods.
Visit http://www.ats.ucla.edu/stat/examples/alda.htm for:
Downloadable data sets
Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more
Additional material for data analysis
Statistical Methods for Psychology
by David C. Howell
from Wadsworth Publishing
STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasize conceptual understanding. Along with a significantly updated discussion of effect sizes and examples on how to write up the results of data analysis, this Sixth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment.
Research In Psychology: Methods and Design
by C. James Goodwin
from Wiley
Designed to give readers a clear understanding of how experimental psychologists think and introduce them to variety of research methods they use in their attempts to understand behavior. Thoroughly revised to include all the important new developments in research methodologies, and incorporating engaging and relevant examples from recent studies, this book will provide the reader with a thorough grounding in Psychological research methods and practices.
Reading and Understanding Multivariate Statistics
by Laurence G. Grimm
from American Psychological Association (APA)
The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for -- and the types of empirical questions that can best be addressed by -- each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful. The most commonly used multivariate techniques are examined in detail: multiple regression and correlation, path analysis, principal-components analysis, exploratory and confirmatory factor analysis, multidimensional scaling, analysis of cross-classified data, logistic regression, multivariate an alysis of variance (MANOVA), discriminant analysis, and meta-analysis. Statistical notations are explained, underlying assumptions are described, and terms are defined clearly and understandably. Concepts and symbols are presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional reading and a glossary of statistical and related terms.
+++
