Cengage Learning

Encyclopedia of Statistics in Behavioral Science, 1st Edition

  • Published By:
  • ISBN-10: 0470013192
  • ISBN-13: 9780470013199
  • Grade Level Range: College Freshman - College Senior
  • 2208 Pages | eBook
  • Original Copyright 2005 | Published/Released December 2006
  • This publication's content originally published in print form: 2005

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About

Overview

The Encyclopedia of Statistics in Behavioral Science encompasses the refined statistical concepts and techniques that are essential to the advancement in psychology and its ever-widening fields of application.

  • Providing comprehensive accounts drawn from the huge expansion of statistical methodologies in the behavioral sciences, highlighting new techniques and developments from the past decade.
  • Up-to-date coverage of developing fields including neuroscience, behavioral genetics, decision learning and cognitive science.
  • Containing over 600 articles and over 400 contributions from eminent psychologists and statisticians world-wide.
  • Emphasis on practical, non-technical methods with wide ranging application.
  • Extensively cross-referenced to ensure fast and accurate access to available information

Representing an invaluable addition to both the psychological and statistical literature, the Encyclopedia of Statistics in Behavioral Science forms an essential reference work for researchers, educators and students in the fields of applied psychology, sociology, market research, consumer behavior, management science, decision making and human resource management.

Table of Contents

Cover.
Half Title Page.
Title Page.
Copyright Page.
Acknowledgments.
Editorial Board.
Contents.
Contributors.
Preface.
Abbreviations and Acronyms.
1: A Priori v Post Hoc Testing.
2: ACE Model.
3: Adaptive Random Assignment.
4: Adaptive Sampling.
5: Additive Constant Problem.
6: Additive Genetic Variance.
7: Additive Models.
8: Additive Tree.
9: Additivity Tests.
10: Adoption Studies.
11: Age–Period–Cohort Analysis.
12: Akaike's Criterion.
13: Allelic Association.
14: All-X Models.
15: All-Y Models.
16: Alternating Treatment Designs.
17: Analysis of Covariance.
18: Analysis of Covariance: Nonparametric.
19: Analysis of Variance.
20: Analysis of Variance: Cell Means Approach.
21: Analysis of Variance: Classification.
22: Analysis of Variance: Multiple Regression Approaches.
23: Ansari–Bradley Test.
24: Arbuthnot, John.
25: Area Sampling.
26: Arithmetic Mean.
27: Ascertainment Corrections.
28: Assortative Mating.
29: Asymptotic Relative Efficiency.
30: Attitude Scaling.
31: Attrition.
32: Average Deviation.
33: Axes in Multivariate Analysis.
34: Bagging.
35: Balanced Incomplete Block Designs.
36: Bar Chart.
37: Battery Reduction.
38: Bayes, Thomas.
39: Bayesian Belief Networks.
40: Bayesian Item Response Theory Estimation.
41: Bayesian Methods for Categorical Data.
42: Bayesian Statistics.
43: Bernoulli Family.
44: Binomial Confidence Interval.
45: Binomial Distribution: Estimating and Testing Parameters.
46: Binomial Effect Size Display.
47: Binomial Test.
48: Biplot.
49: Block Random Assignment.
50: Boosting.
51: Bootstrap Inference.
52: Box Plots.
53: Bradley–Terry Model.
54: Breslow–Day Statistic.
55: Brown, William.
56: Bubble Plot.
57: Burt, Cyril Lodowic.
58: Bush, Robert R.
59: Calculating Covariance.
60: Campbell, Donald T.
61: Canonical Correlation Analysis.
62: Carroll–Arabie Taxonomy.
63: Carryover and Sequence Effects.
64: Case Studies.
65: Case–Cohort Studies.
66: Case–Control Studies.
67: Catalogue of Parametric Tests.
68: Catalogue of Probability Density Functions.
69: Catastrophe Theory.
70: Categorizing Data.
71: Cattell, Raymond Bernard.
72: Censored Observations.
73: Census.
74: Centering in Linear Multilevel Models.
75: Central Limit Theory.
76: Children of Twins Design.
77: Chi-Square Decomposition.
78: Cholesky Decomposition.
79: Classical Statistical Inference Extended: Split-Tailed Tests.
80: Classical Statistical Inference: Practice versus Presentation.
81: Classical Test Models.
82: Classical Test Score Equating.
83: Classification and Regression Trees.
84: Clinical Psychology.
85: Clinical Trials and Intervention Studies.
86: Cluster Analysis: Overview.
87: Clustered Data.
88: Cochran, William Gemmell.
89: Cochran's C Test.
90: Coefficient of Variation.
91: Cohen, Jacob.
92: Cohort Sequential Design.
93: Cohort Studies.
94: Coincidences.
95: Collinearity.
96: Combinatorics for Categorical Variables.
97: Common Pathway Model.
98: Community Intervention Studies.
99: Comorbidity.
100: Compensatory Equalization.
101: Compensatory Rivalry.
102: Completely Randomized Design.
103: Computational Models.
104: Computer-Adaptive Testing.
105: Computer-based Test Designs.
106: Computer-based Testing.
107: Concordance Rates.
108: Conditional Independence.
109: Conditional Standard Errors of Measurement.
110: Confidence Intervals.
111: Confidence Intervals: Nonparametric .
112: Configural Frequency Analysis .
113: Confounding in the Analysis of Variance .
114: Confounding Variable.
115: Contingency Tables.
116: Coombs, Clyde Hamilton.
117: Correlation.
118: Correlation and Covariance Matrices.
119: Correlation Issues in Genetics Research.
120: Correlation Studies.
121: Correspondence Analysis.
122: Co-twin Control Methods.
123: Counterbalancing.
124: Counterfactual Reasoning.
125: Counternull Value of an Effect Size.
126: Covariance.
127: Covariance Matrices: Testing Equality of.
128: Covariance Structure Models.
129: Covariance/Variance/Correlation.
130: Cox, Gertrude Mary.
131: Cramér–von Mises Test.
132: Criterion-Referenced Assessment.
133: Critical Region.
134: Cross-Classified and Multiple Membership Models.
135: Cross-Lagged Panel Design.
136: Crossover Design.
137: Cross-Sectional Design.
138: Cross-Validation.
139: Cultural Transmission.
140: Data Mining.
141: de Finetti, Bruno.
142: de Moivre, Abraham.
143: Decision Making Strategies.
144: Deductive Reasoning and Statistical Inference.
145: DeFries–Fulker Analysis.
146: Demand Characteristics.
147: Deming, Edwards William.
148: Design Effects.
149: Development of Statistical Theory in the 20th Century.
150: Differential Item Functioning.
151: Direct and Indirect Effects.
152: Direct Maximum Likelihood Estimation.
153: Directed Alternatives in Testing.
154: Direction of Causation Models.
155: Discriminant Analysis.
156: Distribution-free Inference, an Overview.
157: Dominance.
158: Dot Chart.
159: Dropouts in Longitudinal Data.
160: Dropouts in Longitudinal Studies: Methods of Analysis.
161: Dummy Variables.