Statistics for the Social and Behavioral Sciences

PUBLISHED


Viewing: 1 - 10 of 90
Published:
April 10, 2013
Author(s):
Arthur Li
To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. 
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Published:
April 01, 2013
Author(s):
Alan C. Acock
Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book 
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Published:
February 25, 2013
Author(s):
Yang Yang; Kenneth C. Land
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three 
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Published:
October 29, 2012
Author(s):
Francesco Bartolucci; Alessio Farcomeni; Fulvia Pennoni
Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in 
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Published:
September 25, 2012
Author(s):
Lawrence Hubert; Howard Wainer
For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, 
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Published:
August 25, 2012
Author(s):
Robert G. Newcombe
Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what 
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Published:
August 01, 2012
Author(s):
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, 
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Published:
June 04, 2012
Author(s):
Wan Tang; Hua He; Xin Tu
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 
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Published:
May 02, 2012
Author(s):
Raymond L. Chambers; David G. Steel; Suojin Wang; Alan Welsh
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 
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Published:
April 24, 2012
Author(s):
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 
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