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Fundamental Statistics for Behavioral Sciences

by
Edition:
8th
ISBN13:

9780534577803

ISBN10:
0534577806
Format:
Hardcover
Pub. Date:
8/3/2000
Publisher(s):
Cengage Learning
List Price: $287.99

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This is the 8th edition with a publication date of 8/3/2000.
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Summary

This eighth edition of McCall's well-respected book continues to present concepts in a way that students can easily understand. The new edition has been updated throughout and now includes recommendations by the APA Task Force on Statistical Inference. As in previous editions, McCall helps students see the many real applications of statistics to research in the behavioral sciences. Taking a traditional approach to teaching the basic statistical concepts and methods used in behavioral research. McCall emphasizes building an understanding of the logic of statistics rather than stressing the mechanics. In this exciting revision, McCall continues to keep the data for the computational problems simple, so your students can focus on the rationale and outcome of techniques rather on the calculations themselves. Using clear discussion, a wide variety of end-of-chapter exercises, and examples drawn from actual studies, McCall helps students learn how to choose appropriate statistical methods and correctly interpret the results. Also retained in this edition are the author's step-by-step explanations for each proof and his clear definitions of symbols--the essential vocabulary of statistics--that have been so successful in helping students master the material.

Author Biography

Robert B. McCall is Professor of Psychology and CoDirector of the University of Pittsburgh Office of Child Development. He is the author of 24 editions of textbooks and guides and several hundred books, chapters, and articles for scholarly audiences and the general public. As a methodologist, he has published numerous articles and handbook chapters on statistics and longitudinal design, and he has been on the permanent editorial boards of a dozen journals and book series, including Psychological Methods. As a developmental psychologist, Dr. McCall is a specialist in infant attention and cognition as predictors of later IQ and in developmental changes in general mental performance. He was honored with the 1994 American Psychological Association Distinguished Contribution to Public Service for communicating psychology to the general public through the media and for inaugerating the University of Pittsburgh Office of Child Development, which promotes and conducts interdisciplinary university-community educational, research, human service demonstration, and policy projects.

Table of Contents

PART ONE DESCRIPTIVE STATISTICS 1(188)
The Study of Statistics
3(25)
Why Study Statistics?
4(2)
Descriptive and Inferential Statistics
6(3)
Measurement
9(8)
Summation Sign
17(7)
Summary
24(4)
Frequency Distributions and Graphing
28(25)
Types of Frequency Distributions
29(5)
Constructing Frequency Distributions with Class Intervals
34(6)
Graphs of Frequency Distributions
40(6)
How Distributions Differ
46(4)
Summary
50(3)
Characteristics of Distributions
53(25)
Indicators of Central Tendency
55(8)
Indicators of Variability
63(6)
Populations and Samples
69(3)
A Note on Calculators and Computers
72(2)
Summary
74(4)
Elements of Exploratory Data Analysis
78(22)
Stem-and-Leaf Displays
79(9)
Resistant Indicators
88(9)
Summary
97(3)
Indicators of Relative Standing
100(33)
Percentiles
101(6)
Changing the Properties of Scales
107(6)
Standard Scores and the Normal Distribution
113(16)
Summary
129(4)
Regression
133(29)
Linear Relationships
134(8)
Regression Constants and the Regression Line
142(10)
Standard Error of Estimate
152(6)
Summary
158(4)
Correlation
162(27)
The Pearson Product-Moment Correlation Coefficient
163(7)
Properties of the Correlation Coefficient
170(6)
Sampling Factors That Change the Correlation Coefficient
176(7)
Causality and Correlation
183(1)
Summary
184(5)
PART TWO INFERENTIAL STATISTICS 189(108)
Sampling, Sampling Distributions, and Probability
191(23)
Methods of Sampling
192(3)
Sampling Distributions and Sampling Error
195(9)
Probability and Its Application to Hypothesis Testing
204(3)
Estimation
207(3)
Summary
210(4)
Introduction to Hypothesis Testing: Terminology and Theory
214(26)
Statistical Terminology
215(16)
Hypothesis Testing When σx Is Estimated by sx
231(6)
Summary
237(3)
Elementary Techniques of Hypothesis Testing
240(29)
Inferences about the Difference between Means
241(12)
Inferences about Correlation Coefficients
253(7)
A Comparison of the Difference between Means and Correlation
260(3)
Statistics in the Journals
263(1)
Summary
264(5)
Beyond Hypothesis Testing: Effect Size and Interval Estimation
269(28)
Beyond Hypothesis Testing
270(3)
Indices of Size
273(4)
Interval Estimation
277(14)
Summary
291(6)
PART THREE SPECIAL TOPICS 297(164)
Introduction to Research Design
299(23)
Scientific Questions
301(6)
Operationalizing
307(6)
Data Collection and Data Analysis
313(1)
Conclusions and Interpretations
314(1)
The Research Report
314(2)
Ethical Considerations
316(4)
Summary
320(2)
Topics in Probability
322(29)
Set Theory
323(5)
Simple Classical Probability
328(5)
Probability of Complex Events
333(7)
Methods of Counting
340(7)
Summary
347(4)
Simple Analysis of Variance
351(38)
Logic of the Analysis of Variance
353(14)
Computational Procedures
367(8)
Comparisons between Specific Means
375(6)
Size of Relationship
381(5)
Summary
386(3)
Two-Factor Analysis of Variance
389(35)
Two-Factor Classification
390(4)
Logic of Two-Factor Analysis of Variance
394(17)
Computational Procedures
411(9)
Summary
420(4)
Nonparametric Techniques
424(37)
Parametric and Nonparametric Tests
425(3)
Tests on Independent Samples
428(18)
Tests on Correlated Samples
446(4)
Rank-Order Correlation
450(4)
Summary
454(7)
Appendix 1 Math Review 461(8)
Appendix 2 Tables 469(21)
Appendix 3 Symbols 490(3)
Appendix 4 Terms 493(9)
Appendix 5 Answers 502(21)
Index 523


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