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Applied Survey Data Analysis
- By Steve G. Heeringa, Brady West and Patricia A. Berglund.
Published April 2010
Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available…
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Microeconometrics Using Stata, Revised Edition
- By A. Colin Cameron, and Pravin K. Trivedi.
Published March 2010
A complete and up-to-date survey of microeconometric methods available in Stata, Microeconometrics Using Stata, Revised Edition is an outstanding introduction to microeconometrics and how to execute microeconometric research using Stata. It covers topics left out of most microeconometrics textbooks…
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Regression Analysis for the Social Sciences
- By Rachel A. Gordon.
Published February 2010
The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards.
Key features of the book include:
Interweaving the teaching of statistical concepts with examples…
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The Reviewer’s Guide to Quantitative Methods in the Social Sciences
- Edited by Gregory R. Hancock, and Ralph O. Mueller.
Published February 2010
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data…
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Foundations for Tracing Intuition
Challenges and Methods
- Edited by Andreas Glöckner, and Cilia Witteman.
Published December 2009
The study of intuition and its relation to thoughtful reasoning is a burgeoning research topic in psychology and beyond. While the area has the potential to radically transform our conception of the mind and decision making, the procedures used for establishing empirical conclusions have often been…
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Applied Statistical Inference with MINITAB
- By Sally Lesik.
- Series Edited by N. Balakrishnan, William R. Schucany and Edward G. Schilling.
Published December 2009
Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing,…
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Statistical Methods for Modeling Human Dynamics
An Interdisciplinary Dialogue
- Edited by Sy-Miin Chow, Emilio Ferrer and Fushing Hsieh.
Published December 2009
This interdisciplinary volume features contributions from researchers in the fields of psychology, neuroscience, statistics, computer science, and physics. State-of-the-art techniques and applications used to analyze data obtained from studies in cognition, emotion, and electrophysiology are…
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Linear Model Methodology
- By Andre I. Khuri.
Published October 2009
Given the importance of linear models in statistical theory and experimental research, a good understanding of their fundamental principles and theory is essential. Supported by a large number of examples, Linear Model Methodology provides a strong foundation in the theory of linear models and…
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Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences
- By Brian S. Everitt.
Published September 2009
Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers…
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