A Handbook for Data Analysis in the Behavioral Sciences,9780805810363

A Handbook for Data Analysis in the Behavioral Sciences

by ;
ISBN13: 9780805810363
ISBN10: 0805810366
Format: Hardcover
Pub. Date: 1992-11-01
Publisher(s): Lawrence Erlbaum Assoc Inc
  • Free Shipping Icon

    This Item Qualifies for Free Shipping!*

    *Excludes marketplace orders.

List Price: $131.25

Buy New

Arriving Soon. Will ship when available.
$125.00
Add to Cart

Rent Textbook

Select for Price
Add to Cart
There was a problem. Please try again later.

Rent Digital

Rent Digital Options
Online:180 Days access
Downloadable:180 Days
$85.80
Online:365 Days access
Downloadable:365 Days
$101.40
Online:1825 Days access
Downloadable:Lifetime Access
$156.00
$85.80
Add to Cart

Used Textbook

We're Sorry
Sold Out

Buy from our Marketplace starting at $66.43

How Marketplace Works:

  • This item is offered by an independent seller and not shipped from our warehouse
  • Item details like edition and cover design may differ from our description; see seller's comments before ordering.
  • Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
  • Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
  • Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.

Summary

Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.

Table of Contents

Preface ix
PART I: MODELS AND MEASUREMENT
Mathematical Models in Psychology
3(18)
William K. Estes
A Thumbnail History of Models in Psychology
4(5)
On the Functions of Models
9(2)
On Testing Models
11(10)
Signal Detection Theory as Data Analysis Method and Psychological Decision Model
21(38)
Neil A. Macmillan
Elements of SDT
22(18)
Advantages of SDT
40(3)
Assumptions of SDT
43(11)
Conclusions
54(5)
What Is and Isn't Measurement
59(36)
Norman Cliff
``Myths'' About Measurement
59(17)
What Is Psychological Measurement
76(12)
Conclusion
88(7)
Multidimensional Scaling
95(70)
Lawrence E. Jones
Laura M. Koehly
Overview
96(1)
Basic Concepts
97(2)
MDS Models
99(5)
Research Design, Data Collection, and Interpretation
104(8)
Schematic Faces Example
112(31)
Specialized Methods
143(10)
Problems and Prospects
153(12)
Can the Various Meanings of Probability Be Reconciled?
165(34)
Glenn Shafer
An Agreement to Disagree
165(3)
An Informal Description of the Ideal Picture
168(4)
A Formalization of the Ideal Picture
172(19)
The Diversity of Application
191(8)
PART II: METHODOLOGICAL ISSUES
Rational Appraisal of Psychological Research and the Good-Enough Principle
199(30)
Ronald C. Serlin
Daniel K. Lapsley
Introduction
199(1)
The Meehlian Indictment of Psychology
200(3)
Slow Progress Reconsidered: A Historicist Approach
203(5)
The Good-Enough Principle
208(14)
Psychology and Physics Reconsidered
222(3)
Conclusion
225(4)
The Theoretical Epistemology: A New Perspective on Some Long-Standing Methodological Issues in Psychology
229(28)
Donald MacKay
Unsolved Methodological Issues
229(3)
Current Attempts to Solve These Problems
232(2)
The Two Epistemologies in General Overview
234(9)
Methodology Under the Two Epistemologies
243(5)
Why Previous Solutions Failed: The View from the Theoretical Epistemology
248(1)
A New Perspective on Methodological Issues
249(3)
Conclusion
252(5)
Between - or Within-Subjects Design: A Methodological Dilemma
257(16)
Gideon Keren
Statistical Aspects
258(2)
Methodological Issues
260(4)
External Validity and Theoretical Framework
264(4)
Direct Comparisions of Between- Versus Within-Subjects Designs
268(3)
Conclusions
271(2)
Which Comes First, Cause or Effect?
273(10)
Paul W. Holland
The Cause of An Effect Versus The Effect of a Cause
273(1)
Rubin's Model
274(3)
Beyond Experiments
277(3)
What About Path Analysis?
280(3)
R. A. Fisher's Philosophical Approach to Inductive Inference
283(28)
Nancy Brenner-Golomb
A Short Biography
283(1)
Evolution, Eugenics, and Genetics---Cambridge
284(3)
Change and Determinism
287(5)
Mathematics and Induction
292(5)
Mathematical Statistics
297(4)
The Design of Experiments---Rothampsted
301(3)
A Concluding Remark
304(7)
PART III: INTUITIVE STATISTICS
The Superego, the Ego, and the Id in Statistical Reasoning
311(30)
Gerd Gigerenzer
The Inference Revolution
311(11)
The Offspring: Hybrid Logic
322(10)
Beyond Dogmatism: Toward a Thoughtful Use of Statistics
332(1)
Epilogue: More Superegos
333(2)
Conclusions
335(6)
Belief in the Law of Small Numbers
341(10)
Amos Tversky
Daniel Kahneman
Statistical Prediction Versus Clinical Prediction: Improving What Works
351(18)
Robyn M. Dawes
David Faust
Paul E. Meehl
The Research
352(2)
The Framework
354(4)
Characteristics of the Problem
358(2)
Objections to the Results
360(2)
Implementation
362(7)
The Perception of Randomness
369(26)
Maya Bar-Hillel
Willem A. Wagenaar
Why Study the Perception of Randomness?
369(13)
How?
382(6)
Why?
388(7)
On Generating Random Sequences
395(24)
Peter J. Pashley
Introduction
395(1)
What Are Random Sequences?
396(3)
Features of Random Number Generators
399(2)
Some Classes of Random Number Generators
401(3)
Distributions of Random Numbers
404(1)
Checking Randomness
405(4)
Recommendations
409(10)
PART IV: HYPOTHESIS TESTING, POWER, AND EFFECT SIZE
Consequences of Prejudice, Against the Null Hypothesis
419(30)
Anthony G. Greenwald
The Lowly Null Hypothesis
419(1)
Refutations of Null Hypothesis ``Cultural Truisms''
420(1)
Behavioral Syptoms of Anti-Null-Hypothesis Prejudice
421(1)
A Survey to Estimate Bias Against the Null Hypothesis
422(3)
A Model of the Research-Publication System
425(1)
Model Description
426(4)
Limitations of the Model
430(4)
A Check on the Model's Accuracy
434(1)
Toward a More Satisfactory System
435(1)
System Effect on Generality of Research Findings
435(2)
Some Epidemics of Type I Error
437(1)
Attitude and Selective Learning
437(1)
The Sleeper Effect
438(1)
Quasi-Sensory Communication
439(1)
Rational Strategies Regarding the Null Hypothesis
440(2)
How to Accept The Null Hypothesis Gracefully
442(4)
Conclusions
446(3)
How Significant Is ``Significance''?
449(12)
Paul Pollard
The Probability of a Type I Error
450(3)
Confusion Between the Prior and Posterior Probabilities
453(1)
Sources of Confusion: Statistics Teaching
454(1)
Sources of Confusion: Inferential Fallacies
455(2)
Can We Determine the Posterior Probability of a Type I Error
457(1)
Implications
458(3)
Effect Size
461(20)
Maurice Tatsuoka
Other Traditional Measures of Effect Size
463(7)
Some Recently Developed Measures of Effect Size
470(4)
Multivariate Extensions of Effect Size
474(4)
Concluding Remarks
478(3)
The Relative Power of Parametric and Nonparametric Statistical Methods
481(38)
Donald W. Zimmerman
Bruno D. Zumbo
Classical Studies of Parametric Tests Under Violation of Assumptions
482(1)
Power Superiority of Nonparametric Tests for Heavy-Tailed Distributions
483(3)
Outlier-Prone and Outlier-Resistand Distribution
486(4)
Computer Simulation Method
490(2)
Further Evidence That Outlier Influence Relative Power of Parametric and Nonparametric Tests
492(3)
Bounded Transformations That Are Not Ranks
495(6)
Transformations That Do Not Preserve Order
501(3)
Rank Transformations and Unequal Variances
504(7)
Transformations, Scales of Measurement, and Appropriate Statistics
511(8)
Cumulating Evidence
519(42)
Robert Rosenthal
Defining Results of Individual Studies
520(1)
Effect Size and Statistical Significance
521(2)
A Framework for Meta-Analytic Procedures
523(2)
Comparing Two Studies
525(2)
Comparing Two Studies
527(2)
Comparing Three or More Studies: Diffuse Tests
529(1)
Comparing Three or More Studies: Focused Tests (Contrasts)
530(3)
Combining Three or More Studies
533(2)
Comparing and Combining Results That Are Not Independent
535(1)
The File Drawer Problem
535(3)
The Evaluation of Effect Sizes
538(3)
The Concept of Successful Replication
541(1)
Pseudo-Failures to Replicate
542(2)
Successful Replication of Type II Error
544(2)
Some Metrics of the Success of Replication
546
Contrasting Views of Replication
544(8)
What Should Be Reported?
552(9)
Author Index 561(12)
Subject Index 573

An electronic version of this book is available through VitalSource.

This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.

By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.

Digital License

You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.

More details can be found here.

A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.

Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.

Please view the compatibility matrix prior to purchase.