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Forthcoming Psychological Methods & Statistics Textbooks

You are currently browsing 1–9 of 9 forthcoming new textbooks in the subject of Psychological Methods & Statistics — sorted by publish date from upcoming books to future books.

For textbooks that are already published; please browse available textbooks.

Forthcoming Textbooks

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  1. Latent Variable Modeling Using R

    A Step-by-Step Guide

    By A. Alexander Beaujean

    This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected...

    To Be Published May 13th 2014 by Routledge

  2. Statistical Power Analysis

    A Simple and General Model for Traditional and Modern Hypothesis Tests, Fourth Edition

    By Kevin R. Murphy, Brett Myors, Allen Wolach

    Noted for its accessible approach, this text applies the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. Through the use of a few simple procedures and examples, the authors show readers with little expertise in statistical...

    To Be Published May 26th 2014 by Routledge

  3. MATLAB for Behavioral Scientists, Second Edition

    By David A. Rosenbaum, Jonathan Vaughan, Brad Wyble

    Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those...

    To Be Published July 7th 2014 by Routledge

  4. Categorical and Nonparametric Data Analysis

    Choosing the Best Statistical Technique

    By E. Michael Nussbaum

    Featuring in-depth coverage of categorical and nonparametric statistics, this book provides a conceptual framework for choosing the most appropriate type of test in various research scenarios. Class tested at the University of Nevada, the book‘s clear explanations of the underlying assumptions,...

    To Be Published July 28th 2014 by Routledge

  5. IBM SPSS for Intermediate Statistics

    Use and Interpretation, Fifth Edition

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

    Designed to help readers analyze and interpret research data using IBM SPSS, this user-friendly book shows readers how to choose the appropriate statistic based on the design; perform intermediate statistics, including multivariate statistics; interpret output; and write about the results. The book...

    To Be Published August 4th 2014 by Routledge

  6. Principles and Methods of Social Research

    3rd Edition

    By William D. Crano, Marilynn B. Brewer, Andrew Lac

    Used to train generations of social scientists, this thoroughly updated classic text covers the latest research techniques and designs. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples...

    To Be Published September 10th 2014 by Routledge

  7. Crafting Scholarship in the Behavioral and Social Sciences

    Writing, Reviewing, and Editing

    By Robert M. Milardo

    Crafting Scholarship helps readers improve their writing and publishing success in academia. Framed within the context of the editorial and peer review process, the book explores writing, editing, and reviewing in academic publishing. As such it provides unique coverage of how successful writers...

    To Be Published September 10th 2014 by Routledge

  8. Longitudinal Analysis

    Modeling Within-Person Variation and Change

    By Lesa Hoffman

    Series: Multivariate Applications Series

    To Be Published October 14th 2014 by Routledge

  9. Multiple Regression and Beyond

    An Introduction to Multiple Regression and Structural Equation Modeling

    By Timothy Keith

    Multiple Regression and Beyond offers a conceptually oriented introduction to multiple regression (MR) analysis, along with more complex methods that flow naturally from multiple regression: path analysis, confirmatory factor analysis, and structural equation modeling. By focusing on the concepts...

    To Be Published November 30th 2014 by Routledge

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