Experimental Design/ (Record no. 177944)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 10333nam a2200145Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1412974453 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 300.724 |
| Item number | KIR/E |
| 245 #0 - TITLE STATEMENT | |
| Title | Experimental Design/ |
| Sub title | procedures for the behavioral sciences |
| Statement of responsibility, etc. | Kirk,Roger E. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Fourth Edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | London: |
| Name of publisher, distributor, etc. | SAGE Publications, Inc, |
| Date of publication, distribution, etc. | 2013. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1056 |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | CHAPTER I Research Strategies and the Control<br/>of Nuisance Variables<br/>1.1 Introcliiclion I<br/>1.2 Formulation of Plans for the C'olleetion and Analysis of Data 2<br/>1.3 Research Strategies 6<br/>1.4 Other Research Strategies 9<br/>1.5 Threats to Valid inference Making 16<br/>1.6 Other Threats to Valid Inference Making 19<br/>1.7 Controlling Nuisance Variables and Minimizing<br/>Threats to Valid Inference Making 21<br/>1.8 Ethical Treatment of Subjects 24 '<br/>1.9 Review Exercises 26<br/>CHAPTER 2 Experimental Designs: An Overview<br/>2.1 introduction 30<br/>2.2 Overv iew of Some liasie Experimental Designs 30<br/>2.3 Classiilcation of Analysis of Variance Designs 45<br/>2.4 Selecting an Appropriate Design 4S<br/>2.5 Rev iew of Statistical Inference 49<br/>2.6 Review Exercises 70<br/>CHAPTER 3 Fundamental Assumptions<br/>in Analysis of Variance<br/>3.1 Sampling Distributions in Analysis of Variance 77<br/>3.2 Partition of the Total Sum of Squares S6<br/>3.3 l-.xpectation of the Mean Squares 92<br/>3.4 4 he/■ Statistic in Analvsis of Variance 95<br/>3.5 Effects of Failure to Meet Assumptions in Analysis of Variance 96<br/>3.6 Transformations 103<br/>3.7 Other Procedures for Dealing With Nonnormality,<br/>Unequal Variances, and Outliers 108<br/>3.8 Supplement for Section 3.3 111<br/>3.9 Review Exercises 117<br/>CHAPTER 4 Completely Randomized Design<br/>4.1 Description of the Design 125<br/>4.2 Exploratory Data Analysis 127<br/>4.3 Computational Example for CR-4 Design 131<br/>4.4 Measures of Strength of Association and Effect Size 134<br/>4.5 Power and the Determination of Sample Size 138<br/>4.6 Random-Effects Model 145<br/>4.7 Advantages and Disadvantages of CR-p Design 146<br/>4.8 Review Exercises 146<br/>CHAPTERS Multiple Comparison Tests<br/>5.1 Introduction to Multiple Comparison Tests 154<br/>5.2 Procedures for Testing p - 1 a Priori Orthogonal Contrasts 170<br/>5.3 Procedures for Testing p - 1 Contrasts Involving a Control Group Mean 176<br/>5.4 Procedures for Testing C a Priori Nonorthogonal Contrasts 179<br/>5.5 Procedures for Testing All Pairwise Contrasts 187<br/>5.6 Testing All Contrasts Suggested by an Inspection of the Data 198<br/>5.7 Other Multiple Comparison Procedures 200<br/>5.8 Comparison of Multiple Comparison Procedures 201<br/>5.9 Review Exercises 201<br/>CHAPTER 6 Trend Analysis<br/>6.1 Introduction to Tests for Trends 209<br/>6.2 Test for the Linear Trend Contrast 211<br/>6.3 Tests for Higher-Order Trend Contrasts 218<br/>6.4 Linear and Curvilinear Con-elation 225<br/>6.5 Variance Accounted for by Mean Contrasts 225<br/>6.6 Review Exercises 227<br/>CHAPTER 7 General Linear Model Approach to ANOVA<br/>7.1 Comparison of Analysis of Variance and Multiple Regression<br/>7.2 Operations With Vectors and Matrices 234<br/>7.3 General Linear Model 244<br/>7.4 Estimating the Parameters in a Regression Model 247<br/>7.5 Regression Model Approach to ANOVA 253<br/>7.6 Alternative Conception ofthe Tost or[3, - [3. = p;, _ j = 0 262<br/>7.7 Cell Means Model Approach to ANOVA 266<br/>7.8 Summary 272<br/>7.9 Re\ ie\v lixcrcises 272<br/>CHAPTER 8 Randomized Block Designs<br/>8.1 Description of Randomized Block Design 280<br/>8.2 Computational Example tor RB-p Design 288<br/>8.3 Alternative Models for RB-/; Design 296<br/>8.4 Some Assumptions Underlying RB-p Design 303<br/>8.5 Procedures for Testing DilTercnces Among Means 314<br/>8.6 Tests for Trends 319<br/>8.7 Relative Efilcicncy of Randomized Block Design 321<br/>8.8 Cell Mean Model Approach to the RB-p Design 322<br/>8.9 Generalized Randomized Block Design 336<br/>8.10 Advantages and Disadvantages of RB-/? and GRB-/J Designs 343<br/>8.11 Review Exercises 344<br/>CHAPTER 9 Completely Randomized Factorial<br/>Design With Two Treatments<br/>9.1 Introduction to Factorial Designs 357<br/>9.2 Description of Completely Randomized Factorial Design 357<br/>9.3 Computational Example for CRF-/;(/ Design 360<br/>9.4 Experimental Design Model for CRF-/;f/Design 368<br/>9.5 Procedures for Testing Differences Among Means 372<br/>9.6 More on the Interpretation of Interactions 373<br/>9.7 Tests for Trends 386<br/>9.8 Estimating Strength of Association, Effect Size.<br/>Power, and Sample Size 395<br/>9.9 Rules for Deriving Expected Values of Mean Squares 400<br/>9.10 Quasi F Statistics 404<br/>9.11 Preliminary Tests on the Model and Pooling Procedures 406<br/>9.12 Analysis of Completely Randomized Factorial Designs With n = I 409<br/>9.13 Cell Means Model Approach to<br/>Completely Randomized Factorial Design 41 1<br/>9.14 Analysis of Completely Randomized Factorial Designs<br/>With Missing Observations and Empty Cells 422<br/>9.15 Advantages and Disadvantages of Factorial Designs 431<br/>9.16 Review Exercises 432<br/>CHAPTER 10 Completely Randomized Factorial Design<br/>With Three or More Treatments and<br/>Randomized Block Factorial Design<br/>10.1 Introduction to CRF-pqr Design 439<br/>10.2 Computational Example for CRF-pqr Design 441<br/>10.3 Patterns Underlying Sum-of-Squares Fonnulas 448<br/>10.4 Formulating Coefficient Matrices for the Cell Means Model 451<br/>10.5 Introduction to Randomized Block Factorial Design 458<br/>10.6 Computational Example for RBF-p^ Design 460<br/>10.7 Expected Value of Mean Squares and the Sphericity Conditions 465<br/>10.8 Cell Means Model Approach to Randomized Block Factorial Design 469<br/>10.9 Minimizing Time and Location Effects by Using a Randomized Block<br/>Factorial Design 484<br/>10.10 Review Exercises 485<br/>CHAPTER I I Hierarchical Designs<br/>11.1 Introduction to Hierarchical Designs 489<br/>11.2 Computational Example for CRH-pr/(zI) Design 492<br/>11.3 Experimental Design Model for CRH-p7(/l) Design 496<br/>11.4 Procedures for Testing Differences Among Means 498<br/>11.5 Estimating Strength of Association, Effect Size, Power, and Sample Size 500<br/>11.6 Description of Other Completely Randomized Hierarchical Designs 502<br/>11.7 Cell Means Model for Completely Randomized Hierarchical Design 515<br/>11.8 Cell Means Model for Randomized Block Hierarchical Design 521<br/>11.9 Advantages and Disadvantages of Hierarchical Designs 530<br/>11.10 Review Exercises 531<br/>CHAPTER 12 Split-Plot Factorial Design:<br/>Design With Group-Treatment Confounding<br/>12.1 Description of Split-Plot Factorial Design 541<br/>12.2 Computational Example for SPF-/; (7 Design 544<br/>12.3 Experimental Design Model for SPF-p q Design 550<br/>12.4 Some Assumptions Underlying SPF-p-^ Design 555<br/>12.5 Procedures for Testing Differences Among Means 560<br/>12.6 Procedures for Testing Hypotheses About Simple Main<br/>Effects and Treatment-Contrast Interactions 566<br/>12.7 Relative Efficiency of Split-Plot Factorial Design 569<br/>12.8 Computational Procedures for SPF-/;; -i/ Design 570<br/>12.9 Computational Procedures for SPF-prt-q Design 579<br/>12.10 Computational Procedures for SPF-p <7;-Design 583<br/>12.11 Computational Procedures for SPF-p-^;7 Design 590<br/>12.12 Computational Procedures for SPF-/j7- (7/Design 595<br/>12.13 Evaluation of Sequence EiTccts 595<br/>12.14 Cell Means Model Approach to SPF-/;-t/ Design 597<br/>12.15 Advantages and Disadvantages of Split-Plot Factorial Designs 613<br/>12.16 Review Exercises 613<br/>CHAPTER 13 Analysis of Covariance<br/>13.1 Introduction to Analysis of Cox ariance 621<br/>13.2 Rationale Underlying Covariate Adjustment 625<br/>13.3 Layout and Computational Procedures for CRAC-p Design 633<br/>13.4 Some Assumptions Underlying CRAC-/? Design 637<br/>13.5 Procedures for Testing DilTerences Among Means in CRAC-p Design 640<br/>13.6 Analysis With Two Covariales 642<br/>13.7 Analysis of Covariance for Randomized Block Design 646<br/>13.8 Analysis of Covariance for Factorial Designs 648<br/>13.9 Covariance Versus Slratitlcation 654<br/>13.10 Regression Model Approach to Analysis of Covariance 656<br/>13.11 Cell Means Model Approach to Analysis of Covariance 660<br/>13.12 Advantages and Disadvantages of Analysis of Covariance 663<br/>13.13 Review Exercises 664<br/>CHAPTER 14 Latin Square and Related Designs<br/>14.1 Description of Latin Square Design 671<br/>14.2 Construction and Randomization of Latin Squares 672<br/>14.3 Computational Example for Latin Square Design 675<br/>14.4 Computational Procedures for/? =1 681<br/>14.5 Experimental Design Model for Latin Square Design 684<br/>14.6 Procedures for Testing Differences Among Means 687<br/>14.7 Relative Efficiency of Latin Square Design With // = 1 687<br/>14.8 Analysis of Covariance for Latin Square Design 690<br/>14.9 Cell Means Model Approach to Latin Square Design 692<br/>14.10 Graeco-Latin Square Design 700<br/>14.11 Flyper-Graeco-Latin Square Designs 702<br/>14.12 C rossover Design 703<br/>14.13 Advantages and Disadvantages of Designs Based on a Latin Square 710<br/>14.14 Review Exercises 71 1<br/>CHAPTER 15 Confounded Factorial Designs:<br/>Designs With Group-Interaction Confounding<br/>15.1 Group-Interaction Confounding 719<br/>15.2 Use of Modular Arithmetic in Constructing Confounded Designs 722<br/>15.3 Computational Procedures for RBCF-2' Desiun 726<br/>15.4 Experimental Design Model for RBCF-2' Design 729 -<br/>15.5 Layout and Analysis for RBCF-2^ Design 732<br/>15.6 Complete Versus Partial Confounding 739<br/>15.7 Computational Procedures for RBPF-23 Design 740<br/>15.8 Computational Procedures for RBCF-3^ and RBPF-3- Designs 749<br/>15.9 Analysis Procedures for Higher-Order Confounded Designs 760<br/>15.'10 Alternative Notation and Computational Systems 772<br/>15.11 Computational Procedures for RBPF-32- Design 775<br/>15.12 Cell Means Model Approach to RBCF-^" Design 785<br/>15.13 Group-Interaction Confounding by Means of a Latin Square 787<br/>15.14 Advantages and Disadvantages of Confounding in Factorial Designs 793<br/>15.15 Review Exercises 796<br/>CHAPTER 16 Fractional Factorial Designs: Designs With Treatment-<br/>Interaction Confounding<br/>16.1 Introduction to Fractional Factorial Designs 803<br/>16.2 General Procedures for Constructing Completely<br/>Randomized Fractional Factorial Designs 805<br/>16.3 Computational Procedures for CRFF-2''~'Design 810<br/>16.4 Computational Procedures for CRFF-3"^'Design 814,<br/>16.5 Ceil Means Model for CRFF-p^ ' Design 820<br/>16.6 General Procedures for Constructing RBFF-/?^"'" Designs 823<br/>16.7 Other Types of CRFF and RBFF Designs 824<br/>16^ Introduction to Latin Square Fractional Factorial Designs 825<br/>16.9 Computational Procedures for LSFF-/^^^ Design 828<br/>16.10 Computational Procedures for LSFF-pV Design 832<br/>16.11 Computational Procedures for LSFF-p^n Design 838<br/>16.12 Computational Procedures for GLSFF-/5^ Design 840<br/>16.13 Advantages and Disadvantages of Fractional Factorial Designs 841<br/>16.14 Review Exercises 842 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 29/08/2016 | 300.724 KIR/E | P32955 | 13/06/2023 | 27/04/2023 | General Books |