Experimental design: procedures for the behavioral sciences
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| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Thousand Oaks, CA [u.a.]
Sage Publications
2013
|
| Ausgabe: | 4. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 1056 S. graph. Darst. |
| ISBN: | 9781412974455 1412974453 |
Internformat
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Datensatz im Suchindex
| _version_ | 1804148897178714112 |
|---|---|
| adam_text | CONTENTS
PREFACE
Xl
ABOU
ΓΊ
HE AUTHOR
XII
CHAPTER I Research Strategies and the Control
of Nuisance Variables I
1.1
Introduction
1
1.2
Formulation of Plans for the Collection and Analysis of Data
1.3
Research Strategies
6
1.4
Other Research Strategies
9
1.5
Threats to Valid Inference Making
16
1.6
Other Threats to Valid Inference Making
19
1.7
Controllmg Nuisance Variables and Minimizing
Threats to Valid Inference Making
21
1.8
Ethical Treatment of Subjects
24
1.9
Review Exercises
26
CHAPTER
2
Experimental Designs: An Overview
30
2.1
Introduction
30
2.2
Overview of Some Basic Experimental Designs
30
2.3
Classification of Analysis of Variance Designs
45
2.4
Selecting an Appropriate Design
48
2.5
Review of Statistical Inference
49
2.6
Review Exercises
70
CHAPTER
3
Fundamental Assumptions
in Analysis of Variance
77
3.1
Sampling Distributions
m
Analysis of Variance
77
3.2
Partition of the Total Sum of Squares
86
3.3
Expectation of the Mean Squares
92
3.4
The
F
Statistic in Analysis of Variance
95
3.5
Effects of Failure to Meet Assumptions
m
Analysis of Variance
96
3.6
Transformations
103
3.7
Other Procedures for Dealing With Nonnormality,
Unequal Variances, and Outliers
108
3.8
Supplement for Section
3.3
111
3.9
Review Exercises
117
CHAPTER
4
Completely Randomized Design
125
4.1
Description of the Design
125
4.2
Exploratory Data Analysis
127
4.3
Computational Example for CR-4 Design
131
4.4
Measures of Strength of Association and Effect Size
134
4.5
Power and the Determination of Sample Size
138
4.6
Random-Effects Model
145
4.7
Advantages and Disadvantages of CK-p Design
146
4.8
Review Exercises
146
CHAPTERS Multiple Comparison Tests
154
5.1
Introduction to Multiple Comparison Tests
154
5.2
Procedures for Testing;?
- 1
a Priori Orthogonal Contrasts
170
5.3
Procedures for Testing j?
- 1
Contrasts Involving a Control Group Mean
176
5.4
Procedures for Testing
С
a Priori
Nonorthogonal
Contrasts
179
5.5
Procedures for Testing All Pairwise Contrasts
187
5.6
Testing All Contrasts Suggested by an Inspection of the Data
198
5.7
Other Multiple Comparison Procedures
200
5.8
Comparison of Multiple Comparison Procedures
201
5.9
Review Exercises
201
CHAPTER
6
Trend Analysis
209
6.1
Introduction to Tests for Trends
209
6.2
Test for the Linear Trend Contrast
211
6.3
Tests for Higher-Order Trend Contrasts
218
6.4
Linear and Curvilinear Correlation
225
6.5
Variance Accounted for by Mean Contrasts
225
6.6
Review Exercises
227
CHAPTER
7
General Linear Model Approach to ANOVA
233
7.1
Comparison of Analysis of Variance and Multiple Regression
233
7.2
Operations With Vectors and Matrices
234
7.3
General Linear Model
244
7.4
Estimating the Parameters in a Regression Model
247
7.5
Regression Model Approach to
ANO VA
253
7.6
Alternative Conception of the Test of
β, = β2 --
■ ■ ■ = ßft _
,
= 0 262
7.7
Cell Means Model Approach to
ANO VA
266
7.8
Summary
272
7.9
Review Exercises
272
CHAPTER
8
Randomized Block Designs
280
8.1
Description of Randomized Block Design
280
8.2
Computational Example for KB-p Design
288
8.3
Alternative Models for KB-p Design
296
8.4
Some Assumptions Underlying KB-p Design
303
8.5
Procedures for Testing Differences Among Means
314
8.6
Tests for Trends
319
8.7
Relative Efficiency of Randomized Block
Design
321
8.8
Cell Mean Model Approach to the KB-p Design
322
8.9
Generalized Randomized Block Design
336
8.10
Advantages and Disadvantages of KB-p and GRB-p Designs
343
8.11
Review Exercises
344
CHAPTER
9
Completely Randomized Factorial
Design With Two Treatments
357
9.1
Introduction to Factorial Designs
357
9.2
Description of Completely Randomized Factorial Design
357
9.3
Computational Example for CKF-pq Design
360
9.4
Experimental Design Model for CRF-pq Design
368
9.5
Procedures for Testing Differences Among Means
372
9.6
More on the Interpretation of Interactions
373
9.7
Tests for Trends
386
9.8
Estimating Strength of Association, Effect Size,
Power, and Sample Size
395
9.9
Rules for Deriving Expected Values of Mean Squares
400
9.10
Quasi
F
Statistics
404
9.11
Preliminary Tests on the Model and Pooling Procedures
406
9.12
Analysis of Completely Randomized Factonal Designs With
η
= 1 409
9.13
Cell Means Model Approach to
Completely Randomized Factonal Design
411
9.14
Analysis of Completely Randomized Factonal Designs
With Missing Observations and Empty Cells
422
9.15
Advantages and Disadvantages of Factorial Designs
431
9.16
Review Exercises
432
CHAPTER
10
Completely Randomized Factorial Design
With Three or More Treatments and
Randomized Block Factorial Design
439
10.1
Introduction to CRF-pgr Design
439
10.2
Computational Example for CKF-pqr Design
441
10.3
Patterns Underlying Sum-of-Squares Formulas
448
10.4
Formulating Coefficient Matrices for the Cell Means Model
451
10.5
Introduction to Randomized Block Factorial Design
458
10.6
Computational Example for RBF-pq Design
460
10.7
Expected Value of Mean Squares and the Sphericity Conditions
465
10.8
Cell Means Model Approach to Randomized Block Factorial Design
469
10.9
Minimizing Time and Location Effects by Using a Randomized Block
Factorial Design
484
10.10
Review Exercises
485
CHAPTER I I Hierarchical Designs
489
11.1
Introduction to Hierarchical Designs
489
11.2
Computational Example for CRH-pq(A) Design
492
11.3
Experimental Design Model tor CRll-pq(A) Design
496
11.4
Procedures for Testing Differences Among Means
498
11.5
Estimating Strength of Association, Effect Size, Power, and Sample Size
500
11.6
Description of Other Completely Randomized Hierarchical Designs
502
11.7
Cell Means Model for Completely Randomized Hierarchical Design
515
11.8
Cell Means Model for Randomized Block Hierarchical Design
521
11.9
Advantages and Disadvantages of Hierarchical Designs
530
11.10
Review Exercises
531
CHAPTER
12
Split-Plot Factorial Design:
Design With Group-Treatment Confounding
541
12.1
Description of Split-Plot Factorial Design
541
12.2
Computational Example for SPF-p-q Design
544
12.3
Experimental Design Model for SVF-pq Design
550
12.4
Some Assumptions Underlying SFF-p-q Design
555
12.5
Procedures for Testing Differences Among Means
560
12.6
Procedures for Testing Hypotheses About Simple Main
Effects and Treatment-Contrast Interactions
566
12.7
Relative Efficiency of Split-Plot Factorial Design
569
12.8
Computational Procedures for SPF-pr-q Design
570
12.9
Computational Procedures for SPF-prt-q Design
579
12.10
Computational Procedures for SPF-p-qr Design
583
12.11
Computational Procedures for SPF-p-qrt Design
590
12.12
Computational Procedures for SPF-pr-qt Design
595
12.13
Evaluation of Sequence Effects
595
12.14
Cell Means Model Approach to SFF-p-q Design
597
12.15
Advantages and Disadvantages of Split-Plot Factorial Designs
613
12.16
Review Exercises
613
CHAPTER
13
Analysis of Covariance
621
13.1
Introduction to Analysis of Covariance
621
13.2
Rationale Underlying Covanate Adjustment
625
13.3
Layout and Computational Procedures for CRAC-p Design
633
13.4
Some Assumptions Underlying CRAC-p Design
637
13.5
Procedures for Testing Differences Among Means in
CRAC-;? Design
640
13.6
Analysis With Two Covariates
642
13.7
Analysis of Covariance for Randomized Block Design
646
13.8
Analysis of Covariance for Factorial Designs
648
13.9
Covariance Versus Stratification
654
13.10
Regression Model Approach to Analysis of Covariance
656
13.11
Cell Means Model Approach to Analysis of Covariance
660
13.12
Advantages and Disadvantages of Analysis of Covariance
663
13.13
Review Exercises
664
CHAPTER
14
Latin Square and Related Designs
671
14.1
Description of Latin Square Design
671
14.2
Construction and Randomization of Latin Squares
672
14.3
Computational Example for Latin Square Design
675
14.4
Computational Procedures for
η
= 1 681
14.5
Experimental Design Model for Latin Square Design
684
14.6
Procedures for Testing Differences Among Means
687
14.7
Relative Efficiency of Latin Square Design With
η
= 1 687
14.8
Analysis of Covariance for Latin Square Design
690
14.9
Cell Means Model Approach to Latin Square Design
692
14.10
Graeco-Latm Square Design
700
14.11
Hyper-Graeco-Latm Square Designs
702
14.12
Crossover Design
703
14.13
Advantages and Disadvantages of Designs Based on a Latin Square
710
14.14
Review Exercises
711
CHAPTER
15
Confounded Factorial Designs:
Designs With Group-Interaction Confounding
719
15.1
Group-Interaction Confounding
719
15.2
Use of Modular Arithmetic
m
Constructing Confounded Designs
722
15.3
Computational Procedures for RBCF-22 Design
726
15.4
Experimental Design Model for RBCF^2 Design
729
15.5
Layout and Analysis for RBCF^3 Design
732
15.6
Complete Versus Partial Confounding
739
15.7
Computational Procedures for RBPF-23 Design
740
15.8
Computational Procedures for RBCF-32 and RBPF-32 Designs
749
15.9
Analysis Procedures for Higher-Order Confounded Designs
760
15.10
Alternative Notation and Computational Systems
772
15.11
Computational Procedures for RBPF-322 Design
775
15.12
Cell Means Model Approach to RBCF-^ Design
785
15.13
Group-Interaction Confounding by Means of a Latin Square
787
15.14
Advantages and Disadvantages of Confounding in Factonal Designs
793
15.15
Review Exercises
796
CHAPTER
16
Fractional Factorial Designs: Designs With Treatment-
Interaction Confounding
803
16.1
Introduction to Fractional Factonal Designs
803
16.2
General Procedures for Constructing Completely
Randomized Fractional Factorial Designs
805
16.3
Computational Procedures for CRPF-24- Design
810
16.4
Computational Procedures for
СМТ-З4 1
Design
814
16.5
Cell Means Model for CRFF-/ Design
820
16.6
General Procedures for Constructing RBFF-p* Designs
823
16.7
Other Types of CRFF and RBFF Designs
824
16.8
Introduction to Latin Square Fractional Factonal Designs
825
16.9
Computational Procedures for LSFF-pp2 Design
828
16.10
Computational Procedures for LSFF-£>3r Design
832
16.11
Computational Procedures for
LSFF
-јЛ
Design
838
16.12
Computational Procedures for GLSFF-/73 Design
840
16.13
Advantages and Disadvantages of Fractional Factonal Designs
841
16.14
Review Exercises
842
APPENDIX A Rules of Summation
847
APPENDIX
В
Rules of Expectation, Variance, and Covariance
852
APPENDIX
С
Orthogonal Coefficients for Unequal Intervals
and Unequal ns
858
APPENDIX
D
Matrix Algebra
863
APPENDIXE
Tables
891
APPENDIX
F
Answers to Starred Exercises
952
REFERENCES
1035
INDEX
1048
|
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| author | Kirk, Roger E. 1930- |
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| dewey-raw | 300/.724 |
| dewey-search | 300/.724 |
| dewey-sort | 3300 3724 |
| dewey-tens | 300 - Social sciences |
| discipline | Biologie Soziologie Psychologie Mathematik Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| genre | 1\p (DE-588)4151278-9 Einführung gnd-content 2\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Einführung Lehrbuch |
| id | DE-604.BV039932145 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:14:26Z |
| institution | BVB |
| isbn | 9781412974455 1412974453 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024790387 |
| oclc_num | 785834808 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-11 DE-355 DE-BY-UBR DE-384 DE-473 DE-BY-UBG DE-188 DE-19 DE-BY-UBM DE-91G DE-BY-TUM DE-945 DE-824 DE-739 |
| owner_facet | DE-91 DE-BY-TUM DE-11 DE-355 DE-BY-UBR DE-384 DE-473 DE-BY-UBG DE-188 DE-19 DE-BY-UBM DE-91G DE-BY-TUM DE-945 DE-824 DE-739 |
| physical | XIII, 1056 S. graph. Darst. |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Sage Publications |
| record_format | marc |
| spelling | Kirk, Roger E. 1930- Verfasser (DE-588)1036102866 aut Experimental design procedures for the behavioral sciences Roger E. Kirk 4. ed. Thousand Oaks, CA [u.a.] Sage Publications 2013 XIII, 1056 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Experimentelle Psychologie (DE-588)4016005-1 gnd rswk-swf Experiment (DE-588)4015999-1 gnd rswk-swf Psychometrie (DE-588)4176236-8 gnd rswk-swf Forschung (DE-588)4017894-8 gnd rswk-swf Psychologie (DE-588)4047704-6 gnd rswk-swf Verhaltenswissenschaften (DE-588)4133253-2 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Mathematische Methode (DE-588)4155620-3 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content 2\p (DE-588)4123623-3 Lehrbuch gnd-content Experiment (DE-588)4015999-1 s Sozialwissenschaften (DE-588)4055916-6 s Verhaltenswissenschaften (DE-588)4133253-2 s Mathematische Methode (DE-588)4155620-3 s DE-604 Versuchsplanung (DE-588)4078859-3 s 3\p DE-604 Statistik (DE-588)4056995-0 s Psychologie (DE-588)4047704-6 s 4\p DE-604 Forschung (DE-588)4017894-8 s 5\p DE-604 Psychometrie (DE-588)4176236-8 s 6\p DE-604 Experimentelle Psychologie (DE-588)4016005-1 s 7\p DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024790387&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 7\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Kirk, Roger E. 1930- Experimental design procedures for the behavioral sciences Versuchsplanung (DE-588)4078859-3 gnd Experimentelle Psychologie (DE-588)4016005-1 gnd Experiment (DE-588)4015999-1 gnd Psychometrie (DE-588)4176236-8 gnd Forschung (DE-588)4017894-8 gnd Psychologie (DE-588)4047704-6 gnd Verhaltenswissenschaften (DE-588)4133253-2 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Mathematische Methode (DE-588)4155620-3 gnd |
| subject_GND | (DE-588)4078859-3 (DE-588)4016005-1 (DE-588)4015999-1 (DE-588)4176236-8 (DE-588)4017894-8 (DE-588)4047704-6 (DE-588)4133253-2 (DE-588)4055916-6 (DE-588)4056995-0 (DE-588)4155620-3 (DE-588)4151278-9 (DE-588)4123623-3 |
| title | Experimental design procedures for the behavioral sciences |
| title_auth | Experimental design procedures for the behavioral sciences |
| title_exact_search | Experimental design procedures for the behavioral sciences |
| title_full | Experimental design procedures for the behavioral sciences Roger E. Kirk |
| title_fullStr | Experimental design procedures for the behavioral sciences Roger E. Kirk |
| title_full_unstemmed | Experimental design procedures for the behavioral sciences Roger E. Kirk |
| title_short | Experimental design |
| title_sort | experimental design procedures for the behavioral sciences |
| title_sub | procedures for the behavioral sciences |
| topic | Versuchsplanung (DE-588)4078859-3 gnd Experimentelle Psychologie (DE-588)4016005-1 gnd Experiment (DE-588)4015999-1 gnd Psychometrie (DE-588)4176236-8 gnd Forschung (DE-588)4017894-8 gnd Psychologie (DE-588)4047704-6 gnd Verhaltenswissenschaften (DE-588)4133253-2 gnd Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd Mathematische Methode (DE-588)4155620-3 gnd |
| topic_facet | Versuchsplanung Experimentelle Psychologie Experiment Psychometrie Forschung Psychologie Verhaltenswissenschaften Sozialwissenschaften Statistik Mathematische Methode Einführung Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024790387&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT kirkrogere experimentaldesignproceduresforthebehavioralsciences |