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Quantitative Methods

Showing 1-10 of 102 results (11 pages in total)

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Confidence Intervals for Proportions and Related Measures of Effect Size

Confidence Intervals for Proportions and Related Measures of Effect Size
  • By Robert G. Newcombe.

Published August 2012

Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why…
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Applied Categorical and Count Data Analysis

Applied Categorical and Count Data Analysis
  • By Wan Tang, Hua He and Xin Tu.

Published June 2012

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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Applied Statistics for the Social and Health Sciences

Applied Statistics for the Social and Health Sciences
  • By Rachel A. Gordon.

Published May 2012

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…
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Maximum Likelihood Estimation for Sample Surveys

Maximum Likelihood Estimation for Sample Surveys
  • By Raymond L. Chambers, David G. Steel, Suojin Wang and Alan Welsh.

Published May 2012

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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Event History Analysis with R

Event History Analysis with R
  • By Göran Broström.

Published April 2012

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples. Keeping mathematical details to a minimum, the book covers key topics, including both discrete and continuous time data,…
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A Gentle Introduction to Stata, Revised Third Edition

  • By Alan C. Acock.

Published March 2012

Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical…
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Effect Sizes for Research

Univariate and Multivariate Applications, Second Edition

Effect Sizes for Research
  • By Robert J. Grissom, and John J. Kim.

Published November 2011

Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univariate and multivariate effect sizes. Many measures and estimators are reviewed along with their application, interpretation, and limitations. Noted for its practical approach, the book features…
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Behavioral Research and Analysis

An Introduction to Statistics within the Context of Experimental Design, Fourth Edition

Behavioral Research and Analysis
  • By Max Vercruyssen, and Hal W. Hendrick.

Published October 2011

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis,…
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Analysis of Questionnaire Data with R

Analysis of Questionnaire Data with R
  • By Bruno Falissard.

Published September 2011

While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the…
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IBM SPSS Statistics 19 Made Simple

IBM SPSS Statistics 19 Made Simple
  • By Colin D. Gray, and Paul R. Kinnear.

Published August 2011

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There…
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