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9780155078970

Foundations of Behavioral Research

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  • ISBN13:

    9780155078970

  • ISBN10:

    0155078976

  • Edition: 4th
  • Format: Paperback
  • Copyright: 1999-08-09
  • Publisher: Wadsworth Publishing
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Summary

This text examines the fundamentals of solving a scientific research problem, focusing on the relationship between the problem and the research design. This edition includes new information about computer statistical software, multivariate statistics, research ethics, and writing research reports in APA style. This book is ideal for graduate students in that it covers statistics, research methodology, and measurement all in one volume. This is a book that graduate students will keep as a reference throughout their careers.

Table of Contents

Part One The Language and Approach of Science 1(62)
Science and the Scientific Approach
3(20)
Science and Common Sense
4(2)
Four Methods of Knowing
6(2)
Science and Its Functions
8(3)
The Aims of Science, Scientific Explanation, and Theory
11(3)
Scientific Research: A Definition
14(1)
The Scientific Approach
15(4)
Problem-Obstacle-Idea
15(1)
Hypothesis
15(1)
Reasoning-Deduction
15(2)
Observation-Test-Experiment
17(2)
Chapter Summary
19(1)
Study Suggestions
20(3)
Problems and Hypotheses
23(18)
Problems
24(1)
Criteria of Problems and Problem Statements
25(1)
Hypotheses
26(1)
The Importance of Problems and Hypotheses
27(1)
Virtues of Problems and Hypotheses
28(2)
Problems, Values, and Definitions
30(1)
Generality and Specificity of Problems and Hypotheses
31(1)
The Multivariable Nature of Behavioral Research and Problems
32(1)
Concluding Remarks: The Special Power of Hypotheses
33(1)
Chapter Summary
34(1)
Study Suggestions
35(6)
Constructs, Variables, and Definitions
41(22)
Concepts and Constructs
42(1)
Variables
42(1)
Constitutive and Operational Definitions of Constructs and Variables
43(5)
Types of Variables
48(6)
Independent and Dependent Variables
48(5)
Active and Attribute Variables
53(1)
Continuous and Categorical Variables
54(2)
Constructs, Observables, and Latent Variables
56(1)
Examples of Variations and Operational Definitions
57(4)
Chapter Summary
61(1)
Study Suggestions
62(1)
Part Two Sets, Relations, and Variance 63(68)
Sets
65(16)
Subsets
66(1)
Set Operations
67(1)
The Universal and Empty Sets; Set Negation
68(1)
Set Diagrams
69(1)
Set Operations with More Than Two Sets
70(1)
Partitions and Cross Partitions
71(3)
Levels of Discourse
74(3)
Chapter Summary
77(1)
Study Suggestions
78(3)
Relations
81(22)
Relations as Sets of Ordered Pairs
82(3)
Determining Relations in Research
85(2)
Rules of Correspondence and Mapping
87(1)
Some Ways to Study Relations
88(10)
Graphs
88(1)
Tables
88(4)
Graphs and Correlation
92(3)
Research Examples
95(3)
Multivariate Relations and Regression
98(3)
Some Logic of Multivariate Inquiry
98(2)
Multiple Relations and Regression
100(1)
Chapter Summary
101(1)
Study Suggestions
101(2)
Variance and Covariance
103(28)
Calculation of Means and Variances
104(2)
Kinds of Variance
106(4)
Population and Sample Variances
106(1)
Systematic Variance
107(1)
Between-Groups (Experimental) Variance
107(3)
Error Variance
110(7)
An Example of Systematic and Error Variance
111(3)
A Subtractive Demonstration: Removing Between-Groups Variance from Total Variance
114(3)
A Recap of Removing Between-Group Variance from Total Variance
117(1)
Components of Variance
118(1)
Covariance
119(9)
The Computer Addendum
122(6)
Chapter Summary
128(1)
Study Suggestions
129(2)
Part Three Probability, Randomness, and Sampling 131(58)
Probability
133(30)
Definition of Probability
134(1)
Sample Space, Sample Points, and Events
135(3)
Determining Probabilities with Coins
138(1)
An Experiment with Dice
139(2)
Some Formal Theory
141(2)
Compound Events and Their Probabilities
143(2)
Independence, Mutual Exclusiveness, and Exhaustiveness
145(5)
Conditional Probability
150(8)
Definition of Conditional Probability
150(2)
An Academic Example
152(3)
Bayes' Theorem: Revising Probabilities
155(1)
Example
156(2)
Chapter Summary
158(1)
Study Suggestions
159(4)
Sampling and Randomness
163(26)
Sampling, Random Sampling, and Representativeness
164(3)
Randomness
167(2)
An Example of Random Sampling
167(2)
Randomization
169(6)
A Senatorial Randomization Demonstration
171(4)
Sample Size
175(8)
Kinds of Samples
178(4)
Some Books on Sampling
182(1)
Chapter Summary
183(1)
Study Suggestions
183(6)
Computer Program Listing to Generate Table 8.2
186(3)
Part Four Analysis, Interpretation, Statistics, and Inference 189(116)
Principles of Analysis and Interpretation
191(30)
Frequencies and Continuous
193(1)
Rules of Categorization
194(4)
Kinds of Statistical Analysis
198(13)
Frequency Distributions
199(1)
Graphs and Graphing
200(2)
Measures of Central Tendency and Variability
202(1)
Measures of Relations
203(1)
Analysis of Differences
204(1)
Analysis of Variance and Related Methods
205(2)
Profile Analysis
207(1)
Multivariate Analysis
208(3)
Indices
211(2)
Social Indicators
213(1)
The Interpretation of Research Data
214(5)
Adequacy of Research Design, Methodology, Measurement, and Analysis
215(1)
Negative and Inconclusive Results
216(1)
Unhypothesized Relations and Unanticipated Findings
216(2)
Proof, Probability, and Interpretation
218(1)
Chapter Summary
219(1)
Study Suggestions
219(2)
The Analysis of Frequencies
221(36)
Data and Variable Terminology
223(1)
Crosstabs: Definitions and Purpose
224(1)
Simple Crosstabs and Rules for Crosstab Construction
225(2)
Calculation of Percentages
227(2)
Statistical Significance and the X2 Test
229(3)
Levels of Statistical Significance
232(4)
Types of Crosstabs and Tables
236(5)
One-Dimensional Tables
236(1)
Two-Dimensional Tables
237(3)
Two-Dimensional Tables, ``True'' Dichotomies, and Continuous Measures
240(1)
Three- and k-Dimensional Tables
240(1)
Specification
241(2)
Crosstabulations, Relations, and Ordered Pairs
243(10)
The Odds Ratio
246(1)
Multivariate Analysis of Frequency Data
247(1)
Computer Addendum
248(5)
Chapter Summary
253(1)
Study Suggestions
254(3)
Statistics: Purpose, Approach, Method
257(18)
The Basic Approach
257(1)
Definition and Purpose of Statistics
258(2)
Binomial Statistics
260(2)
The Variance
262(2)
The Law of Large Numbers
264(1)
The Normal Probability Curve and the Standard Deviation
265(3)
Interpretation of Data Using the Normal Probability Curve-Frequency Data
268(1)
Interpretation of Data Using the Normal Probability Curve-Continuous Data
269(3)
Chapter Summary
272(1)
Study Suggestions
273(2)
Testing Hypotheses and the Standard Error
275(30)
Examples: Differences Between Means
276(1)
Absolute and Relative Differences
277(1)
Correlation Coefficients
278(1)
Hypothesis Testing: Substantive and Null Hypotheses
279(3)
The General Nature of a Standard Error
282(1)
A Monte Carlo Demonstration
283(7)
The Procedure
283(2)
Generalizations
285(1)
The Central Limit Theorem
286(1)
The Standard Error of the Differences between Means
287(3)
Statistical Inference
290(5)
Testing Hypotheses and the Two Types of Errors
291(4)
The Five Steps of Hypothesis Testing
295(4)
Sample Size Determination
295(2)
Example
297(2)
Chapter Summary
299(1)
Study Suggestions
300(5)
Part Five Analysis of Variance 305(130)
Analysis of Variance: Foundations
307(38)
Variance Breakdown: A Simple Example
308(4)
The t-Ratio Approach
312(1)
The Analysis of Variance Approach
313(2)
An Example of a Statistically Significant Difference
315(2)
Calculation of One-Way Analysis of Variance
317(4)
A Research Example
321(1)
Strength of Relations: Correlation and the Analysis of Variance
322(5)
Broadening the Structure: Post Hoc Tests and Planned Comparisons
327(4)
Post Hoc Tests
328(1)
Planned Comparisons
328(3)
Computer Addendum
331(9)
t-Ratio or t-Test on SPSS
331(5)
One-Way ANOVA on SPSS
336(4)
Addendum
340(1)
Chapter Summary
340(1)
Study Suggestions
341(4)
Factorial Analysis of Variance
345(42)
Two Research Examples
346(4)
The Nature of Factorial Analysis of Variance
350(2)
The Meaning of Interaction
352(1)
A Simple Fictitious Example
352(7)
Interaction: An Example
359(3)
Kinds of Interaction
362(3)
Notes of Caution
365(2)
Interaction and Interpretation
367(1)
Factorial Analysis of Variance with Three or More Variables
368(3)
Advantages and Virtues of Factorial Design and Analysis of Variance
371(1)
Factorial Analysis of Variance: Control
372(2)
Research Examples
374(3)
Race, Sex, and College Admissions
374(1)
The Effect of Gender, Type of Rape, and Information on Perception
375(1)
Student Essays and Teacher Evaluation
376(1)
Computer Addendum
377(7)
Chapter Summary
384(1)
Study Suggestions
385(2)
Analysis of Variance: Correlated Groups
387(26)
Definition of the Problem
388(1)
A Fictitious Example
389(8)
An Explanatory Digression
390(3)
Reexamination of Table 15.2 Data
393(1)
Further Considerations
394(3)
Extracting Variances by Subtraction
397(6)
Removal of Systematic Sources of Variance
398(2)
Additional Correlated Analysis of Variance Designs
400(3)
Research Examples
403(6)
Ironic Effects of Trying to Relax Under Stress
403(1)
Learning Sets of Isopods
403(2)
Business: Bidding Behavior
405(1)
Computer Addendum
406(3)
Chapter Summary
409(1)
Study Suggestions
409(4)
Nonparametric Analysis of Variance and Related Statistics
413(22)
Parametric and Nonparametric Statistics
414(4)
Assumption of Normality
415(1)
Homogeneity of Variance
416(1)
Continuity and Equal Intervals of Measures
416(1)
Independence of Observations
417(1)
Nonparametric Analysis of Variance
418(6)
One-Way Analysis of Variance: The Kruskal-Wallis Test
418(2)
Two-Way Analysis of Variance: The Friedman Test
420(3)
The Coefficient of Concordance, W
423(1)
Properties of Nonparametric Methods
424(1)
Computer Addendum
425(6)
The Kruskal-Wallis Test on SPSS
425(5)
The Friedman Test on SPSS
430(1)
Chapter Summary
431(1)
Study Suggestions
431(4)
Part Six Designs of Research 435(98)
Ethical Considerations in Conducting Behavioral Science Research
437(12)
Fiction and Reality
437(10)
A Beginning?
439(3)
Some General Guidelines
442(1)
Guidelines from the American Psychological Association
443(1)
General Considerations
443(1)
The Participant at Minimal Risk
443(1)
Fairness, Responsibility, and Informed Consent
444(1)
Deception
444(1)
Debriefing
444(1)
Freedom from Coercion
445(1)
Protection of Participants
445(1)
Confidentiality
445(1)
Ethics of Animal Research
446(1)
Chapter Summary
447(1)
Study Suggestions
448(1)
Research Design: Purpose and Principles
449(16)
Purposes of Research Design
450(5)
An Example
451(1)
A Stronger Design
452(3)
Research Designs as Variance Control
455(4)
A Controversial Example
456(3)
Maximization of Experimental Variance
459(1)
Control of Extraneous Variables
460(2)
Minimization of Error Variance
462(1)
Chapter Summary
463(1)
Study Suggestions
464(1)
Inadequate Designs and Design Criteria
465(16)
Experimental and Nonexperimental Approaches
466(1)
Symbolism and Definitions
467(1)
Faulty Designs
468(4)
Measurement, History, Maturation
470(1)
The Regression Effect
470(2)
Criteria of Research Design
472(6)
Answer Research Questions?
472(1)
Control of Extraneous Independent Variables
473(1)
Generalizability
474(1)
Internal and External Validity
475(3)
Chapter Summary
478(1)
Study Suggestions
479(2)
General Designs of Research
481(20)
Conceptual Foundations of Research Design
482(2)
A Preliminary Note: Experimental Designs and Analysis of Variance
484(1)
The Designs
485(8)
The Notion of the Control Group and Extensions of Design 20.1
486(3)
Matching versus Randomization
489(1)
Matching by Equating Participants
490(1)
The Frequency Distribution Matching Method
491(1)
Matching by Holding Variables Constant
492(1)
Matching by Incorporating the Nuisance Variable Into the Research Design
492(1)
Participant as Own Control
493(1)
Additional Design Extensions: Design 20.3 Using a Pretest
493(2)
Difference Scores
495(4)
Chapter Summary
499(1)
Study Suggestions
500(1)
Research Design Applications: Randomized Groups and Correlated Groups
501(32)
Simple Randomized Subjects Design
502(2)
A Research Example
502(1)
Fear-then-Relief and Compliance
502(2)
Dolinski
Nawrat
Factorial Designs
504(6)
Factorial Designs with More than Two Variables
505(1)
Research Examples of Factorial Designs
505(1)
Attractiveness and Crime
506(1)
Sigall
Ostrove
Examples, Schema and Learning
506(1)
Quilici
Mayer
Example 1
507(1)
Example 2
507(1)
Example 3
507(1)
Example 4
507(1)
Teacher Knowledge and Pupil Achievement
508(2)
Hoyt
Evaluation of Randomized Subjects Designs
510(1)
Correlated Groups
511(4)
The General Paradigm
512(1)
Units
513(1)
One Group Repeated Trials Design
513(1)
Two groups, Experimental Group-Control Group Designs
514(1)
Research Examples of Correlated Group Designs
515(4)
Learning of Autonomic Functions
516(2)
Miller
DiCara
Effects of Practice on Selective-Attention
518(1)
Tipper
Eissenberg
Weaver
Multigroup Correlated Groups Designs
519(1)
Units Variance
519(1)
Factorial Correlated Groups
520(3)
Revolutionary Leaders and Conceptual Complexity
521(1)
Suedfeld
Rank
Offer of Help and Willingness to Seek Support
522(1)
Perrine
Lisle
Tucker
Analysis of Covariance
523(2)
Massive Reinforcement and Reading Achievement
524(1)
Clark
Walberg
Research Design and Analysis: Concluding Remarks
525(1)
Computer Addendum
526(2)
Chapter Summary
528(1)
Study Suggestions
529(4)
Part Seven Types of Research 533(88)
Quasi-Experimental and N = 1 Designs of Research
535(22)
Compromise Designs a.k.a. Quasi Experimental Designs
536(14)
Nonequivalent Control Group Design
536(1)
No-Treatment Control Group Design
537(6)
Research Examples
543(1)
Nonequivalent Control Group Design
543(1)
Nelson
Hall
Walsh-Bowers
Quasi-Experiment
543(1)
Chapman
McCauley
Time Designs
544(2)
Multiple Time Series Design
546(1)
Single Subject Experimental Designs
546(2)
Some Advantages of Doing Single-Subject Studies
548(1)
Some Disadvantages of Using Single-Subject Designs
549(1)
Some Single-Subject Research Paradigms
550(4)
The Stable Baseline: An Important Goal
550(1)
Designs that Use the Withdrawal of Treatment
550(1)
The ABA Design
550(1)
Repeating Treatments (ABAB Designs)
551(1)
A Research Example
552(1)
Example of an ABAB Design
552(1)
Powell
Nelson
Using Multiple Baselines
553(1)
Chapter Summary
554(1)
Study Suggestions
555(2)
Nonexperimental Research
557(18)
Definition
558(1)
Basic Difference Between Experimental and Nonexperimental Research
558(2)
Self-Selection and Nonexperimental Research
560(1)
Large-Scale Nonexperimental Research
561(3)
Determinants of School Achievement
562(1)
Response Style Differences between East Asian and North American Students
563(1)
Smaller Scale Nonexperimental Research
564(2)
Sex, Lies, and HIV
564(1)
Cochran
Mays
Impaired Reading and Written Language in Attention Deficit Children
565(1)
Elbert
Testing Alternative Hypotheses
566(2)
Evaluation of Nonexperimental Research
568(2)
The Limitations of Nonexperimental Interpretation
568(1)
The Value of Nonexperimental Research
569(1)
Conclusions
570(1)
Chapter Summary
571(1)
Study Suggestions
571(4)
Laboratory Experiments, Field Experiments, and Field Studies
575(24)
A Laboratory Experiment: Miller Studies of the Learning of Visceral Responses
576(1)
A Field Experiment: Rind and Bordia's Study on the Effects of a Server's ``Thank You'' and Personalization on Restaurant Tipping
577(16)
A Field Study: Newcomb's Bennington College Study
578(1)
Characteristics and Criteria of Laboratory Experiments, Field Experiments, and Field Studies
579(1)
Strengths and Weaknesses of Laboratory Experiments
579(2)
Purposes of the Laboratory Experiment
581(1)
The Field Experiment
581(1)
Strengths and Weaknesses of Field Studies
582(3)
Field Studies
585(1)
Types of Field Studies
586(1)
Strengths and Weaknesses of Field Studies
586(2)
Qualitative Research
588(5)
Addendum
593(2)
The Holistic Experimental Paradigm
593(2)
Chapter Summary
595(1)
Study Suggestions
596(3)
Survey Research
599(22)
Types of Surveys
601(3)
Interviews and Schedules
601(2)
Other Types of Survey Research
603(1)
The Methodology of Survey Research
604(7)
Checking Survey Data
607(1)
Three Studies
608(1)
Political Participation in America
608(1)
Verba
Nie
A Survey of Male Cross-Dressers
609(1)
Doctoer
Prince
Community Health Services for Ethnic Minorities
610(1)
Sue
Fujino
Hu
Takeuchi
Zane
Applications of Survey Research to Education
611(2)
Advantages and Disadvantages of Survey Research
613(5)
Meta-Analysis
614(4)
Chapter Summary
618(1)
Study Suggestions
619(2)
Part Eight Measurement 621(68)
Foundations of Measurement
623(18)
Definition of Measurement
625(2)
Measurement and ``Reality'' Isomorphism
627(2)
Properties, Constructs, and Indicants of Objects
629(1)
Levels of Measurement and Scaling
630(5)
Classification and Enumeration
631(1)
Nominal Measurement
632(1)
Ordinal Measurement
632(2)
Interval Measurement (Scales)
634(1)
Ratio Measurement (Scales)
635(1)
Comparisons of Scales: Practical Considerations and Statistics
635(3)
Chapter Summary
638(1)
Study Suggestions
639(2)
Reliability
641(24)
Definitions of Realibility
642(3)
Theory of Reliability
645(7)
Two Computational Examples
648(4)
The Interpretation of the Reliability Coeficient
652(5)
The Standard Error of the Mean and the Standard Error of Measurement
657(2)
The Improvement of Realiability
659(3)
The Value of Reliability
662(1)
Chapter Summary
663(1)
Study Suggestions
664(1)
Validity
665(24)
Types of Validity
666(14)
Content Validity and Content Validation
667(1)
Criterion-Related Validity and Validation
668(1)
Decision Aspects of Validity
669(1)
Multiple Predictors and Criteria
670(1)
Construct Validity and Construct Validation
670(1)
Convergence and Discriminability
671(1)
A Hypothetical Example of Construct Validation
672(2)
The Multitrait-Multimethod Matrix Method
674(2)
Research Examples of Concurrent Validation
676(1)
Research Examples of Construct Validation
676(1)
A Measure of Anti-Semitism
677(1)
A Measure of Personality
677(1)
The Measurement of Democracy
678(1)
Other Methods of Construct Validation
679(1)
A Variance Definition of Validity: The Variance Relation of Reliability and Validity
680(5)
Statistical Relation between Reliability and Validity
684(1)
The Validity and Reliability of Psychological and Educational Measurement Instruments
685(1)
Chapter Summary
685(1)
Study Suggestions
686(3)
Part Nine Methods of Observation and Data Collection 689(64)
Interviews and Interview Schedules
691(16)
Interviews and Schedules as Tools of Science
693(1)
The Interview
693(1)
The Interview Schedule
694(5)
Kinds of Schedule Information and Items
694(1)
Fixed-Alternative Items
695(1)
Example
695(1)
Open-Ended Items
695(1)
Example
696(1)
Scale Items
696(1)
Criteria of Question-Writing
697(2)
The Value of Interviews and Interview Schedules
699(3)
The Focus Group and Group Interviewing: Another Interviewing Method
700(1)
Some Examples of Focus Group Research
701(1)
Chapter Summary
702(1)
Study Suggestions
703(4)
Classical Works
703(1)
More Recent Works
703(1)
``Normal'' Studies
704(3)
Objective Tests and Scales
707(20)
Objectivity and Objective Methods of Observation
708(1)
Tests and Scales: Definitions
709(7)
Types of Objective Measures
709(1)
Intelligence and Aptitude Tests
709(1)
Achievement Tests
710(1)
Personality Measures
711(1)
Attitude Scales
712(3)
Value Scales
715(1)
Types of Objective Scales and Items
716(7)
Examples
716(1)
Agreement-Disagreement Items
717(1)
Rank Order Items and Scales
718(1)
Forced-Choice Items and Scales
719(2)
Ipsative and Normative Measures
721(2)
Choice and Construction of Objective Measures
723(1)
Chapter Summary
724(1)
Study Suggestions
725(2)
Observations of Behavior and Sociometry
727(26)
Problems in Observing Behavior
728(8)
The Observer
728(1)
Validity and Reliability
729(2)
Categories
731(1)
Units of Behavior
731(1)
Cooperativeness
732(1)
Observer Inference
732(1)
Generality or Applicability
733(1)
Sampling of Behavior
734(2)
Rating Scales
736(3)
Types of Rating Scales
737(1)
Examples
737(1)
Weaknesses of Rating Scales
738(1)
Examples of Observation Systems
739(2)
Time Sampling of Play Behavior of Hearing-Impaired Children
739(1)
Observation and Evaluation of College Teaching
740(1)
Assessment of Behavioral Observation
741(1)
Sociometry
742(7)
Sociometry and Sociometric Choice
742(1)
Example
742(1)
Example
743(1)
Methods of Sociometric Analysis
743(1)
Sociometric Matrices
743(2)
Sociograms or Directed Graphs
745(1)
Sociometric Indices
746(1)
Research Uses of Sociometry
747(1)
Prejudice in Schools
748(1)
Sociometry and Stereotypes
748(1)
Sociometry and Social Status
748(1)
Race, Belief, and Sociometric Choice
748(1)
Chapter Summary
749(2)
Study Suggestions
751(2)
Part Ten Multivariate Approaches 753(2)
Multiple Regression Analysis: Foundations
755(1)
Three Research Examples
755(2)
Simple Regression Analysis
757(4)
Multiple Linear Regression
761(1)
An Example
761(7)
The Multiple Correlation Coefficient
768(3)
Tests of Statistical Significance
771(2)
Significance Tests of Individual Regression Weights
773(1)
Interpretation of Multiple Regression Statistics
773(1)
Statistical Significance of the Regression and R2
773(1)
Relative Contributions to Y of the Xs
774(3)
Other Analytic and Interpretative Problems
777(3)
Research Examples
780(1)
DDT and Bald Eagles
780(1)
Inflation Bias in Self-Assessment Examinations
781(1)
Multiple Regression Analysis and Scientific Research
782(1)
Chapter Summary
783(1)
Study Suggestions
784(3)
Multiple Regression, Analysis of Variance, and Other Multivariate Methods
787(1)
One-Way Analysis of Variance and Multiple Regression Analysis
788(4)
Coding and Data Analysis
792(3)
Factorial Analyis of Variance, Analysis of Covariance, and Related Analyses
795(1)
Analysis of Covariance
796(3)
Discriminant Analysis, Canonical Correlation, Multivariate Analysis of Variance, and Path Analysis
799(1)
Discriminant Analysis
799(1)
Canonical Correlation
800(2)
Research Examples
802(1)
Multivariate Analysis of Variance
802(1)
Path Analysis
803(2)
Ridge Regression, Logistic Regression, and Long-linear Analysis
805(1)
Ridge Regression
805(1)
The Problem with Ordinary-Least-Squares (OLS)
806(2)
Research Example
808(1)
Logistic Regression
808(2)
A Research Example
810(1)
Multiway Contingency Tables and Log-Linear Analysis
811(5)
Research Example
816(1)
Multivariate Analysis and Behavioral Research
817(1)
Chapter Summary
818(2)
Study Suggestions
820(5)
Factor Analysis
825(1)
Foundations
826(1)
A Brief History
826(1)
A Hypothetical Example
827(2)
Factor Matrices and Factor Loadings
829(2)
Some Factor Theory
831(2)
Graphical Representation of Factors and Factor Loadings
833(1)
Extraction and Rotation of Factors, Factor Scores, and Second-Order Factor Analysis
834(1)
The Communality and Number of Factors Problems
835(1)
The Principal Factor Method
836(3)
Rotation and Simple Structure
839(5)
Second-Order Factor Analysis
844(1)
Factor Scores
845(1)
Research Examples
846(1)
The Comrey Personality Scales
846(1)
Thurstone Factorial Study of Intelligence
847(1)
Fluid and Crystallized Intelligence
847(2)
Confirmatory Factor Analysis
849(2)
Research Example Using Confirmatory Factor Analysis
851(3)
Factor Analysis and Scientific Research
854(3)
Chapter Summary
857(1)
Study Suggestions
858(5)
Analysis of Covariance Structures
863(1)
Covariance Structures, Latent Variables, and Testing Theory
864(4)
Testing Alternative Factor Hypotheses: Duality Versus Bipolarity of Social Attitudes
868(8)
Latent Variable Influences: The Full Eqs System
876(2)
Setting Up the EQS Structure
878(2)
Research Studies
880(1)
Political Participation in America
881(1)
Verba
Nie
Relationship of Marital Quality and Psychosocial Adjustment
882(2)
Brecht
Dracup
Moser
Riegel
Conclusions---and Reservations
884(3)
Chapter Summary
887(1)
Study Suggestions
888
Appendix A A1
Appendix B B1
References R1
Name Index NI-1
Subject Index SI-1

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