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Psychological Methods & Statistics Books

You are currently browsing 91–100 of 414 new and published books in the subject of Psychological Methods & Statistics — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 10

  1. Observing Children in Their Natural Worlds

    A Methodological Primer, Third Edition

    By Anthony D. Pellegrini, Frank Symons, John Hoch

    This book shows readers how to conduct observational methods, research tools used to describe and explain behaviors as they unfold in everyday settings. The book now uses both an evolutionary and a cultural perspective. The methods presented are drawn from psychology, education, family studies,...

    Published August 6th 2012 by Psychology Press

  2. The A-Z of Error-Free Research

    By Phillip I. Good

    A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R CodeThe A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation,...

    Published July 31st 2012 by Chapman and Hall/CRC

  3. SPSS for Psychologists

    Fifth Edition

    By Nicola Brace, Richard Kemp, Rosemary Snelgar

    With over 50,000 copies sold, the new edition of this best-selling guide carefully leads the user through the process of using SPSS version 20 to analyze psychological data. The authors review the basic issues regarding design and proceed through all of the major statistical techniques used in...

    Published July 22nd 2012 by Routledge

  4. IBM SPSS for Introductory Statistics

    Use and Interpretation, Fifth Edition

    By George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett

    Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of...

    Published July 11th 2012 by Routledge

  5. Applied Categorical and Count Data Analysis

    By Wan Tang, Hua He, Xin M. Tu

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors describe the basic ideas underlying each concept, model, and approach...

    Published June 3rd 2012 by Chapman and Hall/CRC

  6. Applied Statistics for the Social and Health Sciences

    By Rachel A. Gordon

    Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with the basic skills that they need to estimate, interpret, present, and publish statistical models using contemporary standards. The book targets the social and health science...

    Published May 8th 2012 by Routledge

  7. Maximum Likelihood Estimation for Sample Surveys

    By Raymond L. Chambers, David G. Steel, Suojin Wang, Alan Welsh

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and...

    Published May 1st 2012 by Chapman and Hall/CRC

  8. Simulating Nature

    A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition

    By Arthur C. Petersen

    Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of...

    Published April 23rd 2012 by Chapman and Hall/CRC

  9. Interpreting and Visualizing Regression Models Using Stata

    By Michael N. Mitchell

    Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings. It is a boon to anyone who has to present the tangible meaning of a complex model in a clear fashion, regardless...

    Published April 18th 2012 by Stata Press

  10. Multilevel Modeling of Categorical Outcomes Using IBM SPSS

    By Ronald H Heck, Scott Thomas, Lynn Tabata

    Series: Quantitative Methodology Series

    This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools,...

    Published April 15th 2012 by Routledge