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9780803934214

Statistics : A Spectator Sport

by
  • ISBN13:

    9780803934214

  • ISBN10:

    0803934211

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 1990-05-01
  • Publisher: Sage Publications, Inc

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Summary

"Richard M. Jaeger does such a good job of communicating the concept in nontechnical and applicable terms. In particular, I like Jaeger's emphasis on understanding the logic of the methods and interpreting statistical reports. His book provides the student with an alternative explanation of the underlying logic of statistical methods that I provide in class. Students have found Jaeger to be very understandable-- I have had almost universal praise of Jaeger. . . . Perhaps the most impressive aspect of this book is its clear exposition of some rather complex concepts. Jaeger's explanations are clear, he uses realistic and generally understandable examples, and does not take himself too seriously. . . . This is an excellent nontechnical statistics text." --Barry Nocks, Clemson University "(This book) has become one of my favorite resources and references. I love reading it. It offers pleasant reading that is interesting and completely comprehensible. And most important, it has improved my understanding of the concepts that had previously eluded me. Thank you again for offering the definitive aid to understanding the world of statistics. Who would have believed that such a topic could have been presented so wonderfully?" --Elaine R. Kersten, Doctoral Candidate, University of Massachusetts at Amherst From the First Edition: "The premise is that many of us need an understanding of statistics in order to become intelligent consumers of the reports and research generated by business, government, social scientists, and educators. . . The style is lucid and lively. A careful reading of this book could well make one reexamine the old cliche about lies, damn lies, and statistics." --Choice "Using clear explanations (and excluding the equations), readers learn from examples how to understand what statistics are, what they mean, and how they are used and interpreted, particularly in the social and behavioral sciences. Includes problems with answers. The book will help anyone who needs to understand statistics." --Journal of the Institute of Health Education "I found the author's presentation clear and readable. He introduces the different types of case study in a very logical manner, well illustrated with practical examples, and accompanied with helpful guidelines to encourage researchers to consider a broader range of research methods. . . . I would recommend this book to novices and established researchers alike. It has good breadth and depth of coverage presented in a very digestible form." --Statistician "Well-written; Richard M. Jaeger's lighthearted style, so often lacking in statistical texts, makes enjoyable reading. Because it starts with the basics of making sense of numbers and works its way gently up to some more complex statistical techniques, the book will be useful to the complete novice as well as the more experienced number cruncher." --Nursing Standard "Comprehensive text, clear illustrations, and an outstanding glossary. . . . An excellent resource. . . . An invaluable reference. . . . No graduate student . . . in a statistics course should be without it!" --ANNA Journal Popular in its first edition with researchers and practitioners and widely adopted for undergraduate and graduate courses, the new second edition continues to give readers a conceptual understanding of statistics without becoming mired down in statistical computations. Presuming no statistical background and beginning with the most fundamental methods for drawing statistical inferences to a variety of real-world applications, Richard M. Jaege

Table of Contents

Preface ix
Preface to the First Edition xi
Making Numbers Make Sense
1(35)
Introduction and Overview
1(2)
Interpreting Data Tables
3(11)
A Picture Is Worth a Thousand Words---And at Least Ten Thousand Numbers
14(19)
Problems
33(3)
Concepts of Central Tendency
36(14)
Where Is the Center?
36(1)
How to Define the Center
36(1)
Which Measures When?
37(9)
Summary
46(1)
Problems
47(3)
Measures of Variability
50(11)
How Spread Out Are the Scores?
50(1)
Measures of Variability
51(5)
Properties of the Measures
56(1)
Summary
57(2)
Problems
59(2)
Correlation
61(16)
The General Idea
61(3)
The Pearson Product-Moment Correlation Coefficient
64(7)
Other Types of Correlation Coefficients
71(3)
Summary
74(1)
Problems
74(3)
Some Fundamentals of Measurement
77(26)
Measurement as the Basis for Statistics
77(2)
Assessing Validity
79(6)
Assessing Reliability
85(7)
Reporting the Scores
92(7)
Summary
99(1)
Problems
100(3)
Can You Trust the Conclusions?
103(32)
Internal Validity
105(17)
External Validity
122(9)
Summary
131(1)
Problems
132(3)
Elements of Statistical Inference
135(8)
Inferential Statistics
135(2)
Our Approach
137(1)
Some Basic Vocabulary
138(3)
Problems
141(2)
Nuts and Bolts of Estimation
143(20)
Two Types of Estimation
144(8)
Interpreting Confidence Intervals in Research Reports
152(3)
A Short Review Quiz
155(1)
The Effectiveness of an Inservice Science Education Program
155(2)
Estimating the Budget for the Oak Park School District---The Need for Remedial Classes
157(3)
Problems
160(3)
The Logic of Hypothesis Testing
163(31)
The Lay of the Land
163(3)
The General Procedure
166(1)
Errors and Risks
166(3)
Decision Rules
169(2)
Sampling Distributions
171(1)
The Risk of Making a Type I Error
172(1)
Computing a Decision Rule
173(1)
Another Example---And a Review
174(9)
Another Review Quiz
183(1)
The Validity of a Teacher Selection Test
184(1)
Teacher Salaries and Student Achievement---Are They Related?
185(6)
Problems
191(3)
Inferences Involving Averages
194(21)
The Path Ahead
194(1)
A Final Evaluation of a Career Education Program
195(7)
Relationships Between Teacher Attitudes and Teacher Behavior
202(4)
Evaluation of a Beginning Teacher Development Program
206(7)
Summary
213(1)
Problems
213(2)
Inferences Involving Correlation Coefficients
215(21)
The Nature of the Inferences
215(2)
Are High School Sophomores' Ego Identities Related to School Factors and Cognitive Factors?
217(6)
Relationships Between Teacher Attitudes and Teacher Behavior
223(10)
Summary
233(1)
Problems
234(2)
Inferences Involving Statistical Independence
236(24)
The Nature of the Inferences
236(2)
Do Boys and Girls Differ in Average Intellectual Growth During Adolescence?
238(6)
In-Level Versus Out-of-Level Testing of Special Education Students
244(5)
Evaluation of a Chapter I Supplementary Reading Program
249(9)
Summary
258(1)
Problems
258(2)
One-Way Analysis of Variance
260(25)
The Nature of the Inferences
260(2)
In-Level Versus Out-of-Level Testing of Special Education Students
262(8)
An Evaluation of an Urban Day Care Program
270(5)
An Evaluation of an Experimental Assessment Center for Army Cadets
275(8)
Summary
283(1)
Problems
283(2)
Two-Way Analysis of Variance
285(35)
The Nature of the Inferences
285(10)
A Final Evaluation of a Career Education Program
295(7)
An Evaluation of a Multicultural Education Program
302(8)
A Study of Perceptions of the Roles of Women
310(8)
Summary
318(1)
Problems
318(2)
Some Advanced Topics
320(44)
Analysis of Covariance
321(5)
A Study of the Effect of Computers on Middle-School Students' Mathematics Achievement
326(7)
Regression Analysis
333(7)
Prediction of Typing Success in High School
340(5)
Factor Analysis
345(7)
A Factor Analysis of an Instructor Rating Scale
352(7)
Summary
359(2)
Conclusion
361(1)
Problems
361(3)
References 364(2)
Glossary 366(19)
Answers to Problems 385(10)
Index 395(7)
About the Author 402

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