Statistical Principles of Research Design and Analysis / Edition 1

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Overview

The success of comparative scientific studies, according to Dr. Robert Kuehl, depends upon effective research design that clearly defines objectives and chooses the appropriate statistical design and analysis to meet those objectives. This research design process includes development of the research hypothesis, choice of the treatment design to answer it, and choice of the experiment design that facilitates efficient data collection. To further this philosophy, Kuehl has written Statistical Principles of Research Design and Analysis. Throughout the book, worked examples (almost all of which are taken from actual research studies performed in the agricultural, biological, industrial, engineering, manufacturing, and medical sciences) are illustrated with printouts of analysis of variance tables from popular computer programs such as SAS, SPSS, MINITAB, or BMPD. The book is divided into three parts: first, it traces the role statistical science plays in the planning stages of a research study; then, it delineates treatment designs, their analyses, and interpretations in the simplest setting of completely randomized designs; and lastly, it presents development of experiments and designs from the simplest to the most complex and specialized blocking structures.
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Editorial Reviews

Booknews
Presents principles of statistical design and analysis for comparative scientific studies to graduate students in the experimental sciences and applied statistics. Material is applications-oriented, using the results of established theory, and does not include theoretical development. Early chapters emphasize the connection between research hypotheses and treatment designs in randomized designs, and later chapters present developments of experiment designs and their analyses. Examples and exercises are based on actual research studies when possible, demonstrating applications in life and agricultural sciences and in engineering, industrial, and chemistry research. Assumes previous courses in college algebra and an introduction to statistical methods. The author is affiliated with the University of Arizona. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780534188047
  • Publisher: Wadsworth
  • Publication date: 3/28/1994
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 686
  • Product dimensions: 7.69 (w) x 9.59 (h) x 1.33 (d)

Table of Contents

1 Research Design Principles 1
2 Getting Started with Completely Randomized Designs 29
3 Treatment Comparisons 66
4 Diagnosing Agreement Between the Data and the Model 108
5 Experiments to Study Variances 129
6 Factorial Treatment Designs 159
7 Factorial Treatment Designs: Random and Mixed Models 220
8 Complete Block Designs 256
9 Incomplete Block Designs: An Introduction 306
10 Incomplete Block Designs: Resolvable and Cyclic Designs 337
11 Incomplete Block Designs: Factorial Treatment Designs 359
12 Fractional Factorial Designs 390
13 Response Surface Designs 423
14 Split-Plot Designs 473
15 Repeated Measures Designs 499
16 Crossover Designs 529
17 Analysis of Covariance 562
References 589
Appendix Tables 599
Answers to Selected Exercises 645
Index 681
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