Librarian View
LEADER 07323cam a2201645 i 4500
001
991005645559707546
005
20220623122546.0
008
130712t20142014nyua b 001 0 eng
010
a| 2013025364
020
a| 9781848729803 (hardback)
020
a| 1848729804 (hardback)
020
a| 9781848729810 (paperback)
020
a| 1848729812 (paperback)
020
z| 9780203127698 (ebook)
035
a| (HKSYU)b11875288-852hksyu_inst
040
a| DLC
b| eng
e| rda
c| DLC
d| BTCTA
d| OCLCO
d| OCLCF
d| CHVBK
d| YDXCP
d| NhCcYBP
d| NhCcYME
d| HK-SYU
050
4
a| HA29
b| .L83185 2014
082
0
0
a| 300.72/7
2| 23
092
0
a| 300.727
b| LIU 2014
100
1
a| Liu, Xiaofeng Steven,
e| author.
245
1
0
a| Statistical power analysis for the social and behavioral sciences :
b| basic and advanced techniques /
c| Xiaofeng Steven Liu.
264
1
a| New York, NY :
b| Routledge,
c| 2014.
300
a| xvi, 378 p. :
b| ill. ;
c| 26 cm.
336
a| text
2| rdacontent.
337
a| unmediated
2| rdamedia.
338
a| volume
2| rdacarrier.
504
a| Includes bibliographical references and index.
520
a| "This will be the first book to demonstrate the application of power analysis to the newer more advanced techniques such as hierarchical linear modeling, meta-analysis, and structural equation modelling that are increasingly popular in behavioral and social science research"--
c| Provided by publisher.
650
0
a| Social sciences
x| Statistical methods.
650
0
a| Probabilities.
650
0
a| Statistical power analysis.
907
a| b11875288
b| 08-01-22
c| 21-09-06
910
a| ykc
b| ysf
935
a| (HK-SYU)500872417
9| ExL
970
0
1
t| List of Figures
p| ix
970
0
1
t| List of Tables
p| xi
970
0
1
t| Preface
p| xiii
970
1
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l| 1.
t| Introduction
p| 1
970
1
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l| 1.1.
t| Scientific Research
p| 2
970
1
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l| 1.2.
t| Origin of Statistical Power
p| 4
970
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l| 1.3.
t| Some Preliminaries
p| 5
970
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l| 1.3.1.
t| Distribution
p| 6
970
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l| 1.3.2.
t| Expectation
p| 13
970
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l| 1.3.3.
t| Variance
p| 15
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l| 2.
t| Statistical Power
p| 17
970
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l| 2.1.
t| Hypothesis Testing
p| 17
970
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l| 2.2.
t| Statistical Power
p| 21
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l| 2.2.1.
t| Statistical Power of a z-test
p| 21
970
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l| 2.2.2.
t| Effect Size
p| 27
970
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l| 2.2.3.
t| Sample Size
p| 30
970
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l| 2.3.
t| Statistical Power and Sample Size for t Tests
p| 32
970
1
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l| 2.3.1.
t| One Sample t Test
p| 33
970
1
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l| 2.3.2.
t| Two Sample Independent t Test
p| 36
970
1
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l| 2.3.3.
t| Dependent t Test
p| 43
970
1
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l| 2.3.4.
t| Uncertainty in Power Analysis
p| 50
970
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l| 3.
t| Power of Confidence Interval
p| 55
970
1
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l| 3.1.
t| Sample Size and Confidence Interval in a z-test
p| 56
970
1
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l| 3.2.
t| Sample Size and Confidence Interval in a t Test
p| 57
970
1
1
l| 3.3.
t| Statistical Power and Confidence Interval
p| 61
970
1
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l| 3.3.1.
t| Statistical Power and Confidence Interval Width in a z-test
p| 62
970
1
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l| 3.3.2.
t| Statistical Power and Confidence Interval Width in a Test
p| 64
970
1
1
l| 3.4.
t| Derivation of π1 and ω
p| 71
970
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l| 4.
t| Analysis of Variance
p| 75
970
1
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l| 4.1.
t| One-way Analysis of Variance
p| 75
970
1
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l| 4.1.1.
t| Non-centrality Parameter in ANOVA
p| 77
970
1
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l| 4.1.2.
t| Statistical Power for the F Test
p| 81
970
1
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l| 4.1.3.
t| Statistical Power for Contrast Tests
p| 85
970
1
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l| 4.2.
t| Two-way Analysis of Variance
p| 92
970
1
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l| 4.2.1.
t| Statistical Power for Testing Main Effects
p| 92
970
1
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l| 4.2.2.
t| Statistical Power for Testing Interaction
p| 97
970
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l| 4.3.
t| Random-effects ANOVA
p| 104
970
1
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l| 5.
t| Linear Regression
p| 111
970
1
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l| 5.1.
t| Simple Regression
p| 112
970
1
1
l| 5.2.
t| Testing Correlation r
p| 119
970
1
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l| 5.3.
t| Multiple Regression
p| 123
970
1
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l| 5.4.
t| Analysis of Covariance
p| 129
970
1
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l| 5.4.1.
t| Statistical Power with Covariate Adjustment
p| 129
970
1
1
l| 5.4.2.
t| Small Sample Size and Standard Error with Covariate Adjustment
p| 133
970
1
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l| 6.
t| Multivariate Analysis
p| 137
970
1
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l| 6.1.
t| Hotelling T2 for Two-group Comparison
p| 137
970
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l| 6.2.
t| Multivariate Analysis of Variance
p| 145
970
1
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l| 6.3.
t| Multivariate Analysis of Covariance
p| 159
970
1
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l| 7.
t| Multi-level Models
p| 169
970
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l| 7.1.
t| Cluster Randomized Trials
p| 170
970
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l| 7.1.1.
t| Two Treatment Arms
p| 170
970
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l| 7.1.2.
t| Three Treatment Arms
p| 178
970
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l| 7.2.
t| Multi-site Randomized Trials
p| 191
970
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l| 7.2.1.
t| Two Treatment Conditions at Each Site
p| 191
970
1
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l| 7.2.2.
t| Multiple Treatment Conditions at Each Site
p| 200
970
1
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l| 7.2.3.
t| Derivation of the F Statistic
p| 212
970
1
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l| 8.
t| Complex Multi-level Models
p| 215
970
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l| 8.1.
t| Three-level Cluster Randomized Trial
p| 215
970
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l| 8.2.
t| Multi-site Cluster Randomized Trial
p| 224
970
1
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l| 8.3.
t| Covariate Adjustment
p| 235
970
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l| 8.4.
t| Optimal Sample Allocation
p| 243
970
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l| 8.4.1.
t| Cluster Randomized Trial
p| 244
970
1
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l| 8.4.2.
t| Multi-site Randomized Trial
p| 247
970
1
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l| 8.4.3.
t| Unequal Costs Per Unit of Randomization
p| 249
970
1
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l| 9.
t| Meta-analysis
p| 253
970
1
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l| 9.1.
t| Fixed-Effects Meta-analysis
p| 254
970
1
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l| 9.1.1.
t| Test for Main Effect
p| 254
970
1
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l| 9.1.2.
t| Test for Homogeneity of Individual Effect Sizes ...
p| 259
970
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l| 9.2.
t| Random-Effects Meta-analysis
p| 260
970
1
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l| 9.2.1.
t| Test for Main Effect
p| 260
970
1
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l| 9.2.2.
t| Test for the Variance of Individual Effect Sizes
p| 266
970
1
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l| 10.
t| Structural Equation Models
p| 269
970
1
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l| 10.1.
t| Path Analysis
p| 270
970
1
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l| 10.1.1.
t| Statistical Power for Testing Individual Equations and Direct Effects
p| 272
970
1
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l| 10.1.2.
t| Statistical Power in Path Analysis
p| 273
970
1
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l| 10.2.
t| Factor Analysis
p| 286
970
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l| 10.3.
t| Structural Equation Model
p| 289
970
1
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l| 10.3.1.
t| Statistical Power in SEM
p| 291
970
1
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l| 11.
t| Longitudinal Studies
p| 299
970
1
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l| 11.1.
t| Multivariate Analysis of Repeated Measures
p| 300
970
1
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l| 11.1.1.
t| Linear Change
p| 300
970
1
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l| 11.1.2.
t| Quadratic Change
p| 308
970
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l| 11.2.
t| HLM: Fixed Coefficient for Slope
p| 315
970
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l| 11.3.
t| HLM: Random Coefficients Model
p| 324
970
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l| 11.3.1.
t| Linear Change
p| 325
970
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l| 11.3.2.
t| Quadratic Change
p| 331
970
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l| 11.3.3.
t| Orthogonal Polynomial Model
p| 339
970
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l| 11.3.4.
t| Cubic Change
p| 343
970
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l| Appendix A
t| Cumulative Distribution Function
p| 347
970
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l| A.1.
t| Cumulative Distribution Function and Quantile
p| 347
970
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l| A.2.
t| Non-central Cumulative Distribution Function
p| 348
970
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l| Appendix B
t| R Tutorial
p| 351
970
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l| B.1.
t| Arithmetic
p| 351
970
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l| B.2.
t| Data
p| 353
970
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l| B.3.
t| Loop
p| 354
970
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l| B.4.
t| Statistics
p| 355
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l| B.5.
t| Simulation
p| 357
970
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l| B.6.
t| Graphics
p| 359
970
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l| B.7.
t| Function
p| 360
970
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l| B.8.
t| Statistical Analysis
p| 361
970
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l| B.8.1.
t| Basic Statistics
p| 361
970
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l| B.8.2.
t| Helmert Contrast
p| 362
970
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t| Bibliography
p| 365
970
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t| Index
p| 373
998
a| book
b| 27-10-15
c| m
d| a
e| -
f| eng
g| nyu
h| 0
i| 0
945
h| Supplement
l| location
i| barcode
y| id
f| bookplate
a| callnoa
b| callnob
n| PSY510