Anatomy and Physiology of Domestic Animals
2. Edition November 2013
684 Pages, Hardcover
Practical Approach Book
Short Description
Anatomy and Physiology of Domestic Animals, Second Edition offers a detailed introduction to the foundations of anatomy and physiology in a wide range of domestic species. This Second Edition includes access to supplementary material online, including images and tables available for download in PowerPoint, a test bank of questions for instructors, and self-study questions for students at www.wiley.com/go/akers/anatomy. Taking a logical systems-based approach, this new edition is fully updated and now provides more practical information, with descriptions of anatomic or physiological events in pets or domestic animals to demonstrate everyday applications.
Anatomy and Physiology of Domestic Animals, Second Edition offers a detailed introduction to the foundations of anatomy and physiology in a wide range of domestic species. Well illustrated throughout, the book provides in-depth information on the guiding principles of this key area of study for animal science students, fostering a thorough understanding of the complex make-up of domestic animals. This Second Edition includes access to supplementary material online, including images and tables available for download in PowerPoint, a test bank of questions for instructors, and self-study questions for students at www.wiley.com/go/akers/anatomy.
Taking a logical systems-based approach, this new edition is fully updated and now provides more practical information, with descriptions of anatomic or physiological events in pets or domestic animals to demonstrate everyday applications. Offering greater depth of information than other books in this area, Anatomy and Physiology of Domestic Animals is an invaluable textbook for animal science students and professionals in this area.
Preface to the First Edition ix
About the Companion Website xi
Chapter 1. Introduction to Anatomy and Physiology 3
Chapter 2. The Cell: The Common Physiological Denominator 11
Chapter 3. Fundamental Biochemical Pathways and Processes in Cellular Physiology 57
Chapter 4. Tissue Structure and Organization 85
Chapter 5. Integumentary System 121
Chapter 6. Bones and Skeletal System 139
Chapter 7. Muscular Tissue 179
Chapter 8. Introduction to the Nervous System 215
Chapter 9. Central Nervous System 241
Chapter 10. Peripheral and Autonomic Nervous System 265
Chapter 11. Special Senses 297
Chapter 12. Endocrine System 323
Chapter 13. Cardiovascular System 375
Chapter 14. Respiratory System 417
Chapter 15. Immunity 441
Chapter 16. Urinary System 459
Chapter 17. Digestive System 483
Chapter 18. Lactation 529
Chapter 19. Reproduction 557
Glossary 591
Index 633
11183570193ENPREFACE ix
PART 1 GETTING STARTED WITH IBM SPSS(r) 1
CHAPTER 1 INTRODUCTION TO IBM SPSS(r) 3
CHAPTER 2 ENTERING DATA IN IBM SPSS(r) 5
CHAPTER 3 IMPORTING DATA FROM EXCEL TO IBM SPSS(r) 15
PART 2 OBTAINING, EDITING, AND SAVING STATISTICAL OUTPUT 19
CHAPTER 4 PERFORMING STATISTICAL PROCEDURES IN IBM SPSS(r) 21
CHAPTER 5 EDITING OUTPUT 27
CHAPTER 6 SAVING AND COPYING OUTPUT 31
PART 3 MANIPULATING DATA 37
CHAPTER 7 SORTING AND SELECTING CASES 39
CHAPTER 8 SPLITTING DATA FILES 45
CHAPTER 9 MERGING DATA FROM SEPARATE FILES 51
PART 4 DESCRIPTIVE STATISTICS PROCEDURES 57
CHAPTER 10 FREQUENCIES 59
CHAPTER 11 DESCRIPTIVES 67
CHAPTER 12 EXPLORE 71
PART 5 SIMPLE DATA TRANSFORMATIONS 77
CHAPTER 13 STANDARDIZING VARIABLES TO Z SCORES 79
CHAPTER 14 RECODING VARIABLES 83
CHAPTER 15 VISUAL BINNING 97
CHAPTER 16 COMPUTING NEW VARIABLES 103
CHAPTER 17 TRANSFORMING DATES TO AGE 111
PART 6 EVALUATING SCORE DISTRIBUTION ASSUMPTIONS 121
CHAPTER 18 DETECTING UNIVARIATE OUTLIERS 123
CHAPTER 19 DETECTING MULTIVARIATE OUTLIERS 131
CHAPTER 20 ASSESSING DISTRIBUTION SHAPE: NORMALITY, SKEWNESS, AND KURTOSIS 139
CHAPTER 21 TRANSFORMING DATA TO REMEDY STATISTICAL ASSUMPTION VIOLATIONS 147
PART 7 BIVARIATE CORRELATION 157
CHAPTER 22 PEARSON CORRELATION 159
CHAPTER 23 SPEARMAN RHO AND KENDALL TAU-B RANK-ORDER CORRELATIONS 165
PART 8 REGRESSING (PREDICTING) QUANTITATIVE VARIABLES 171
CHAPTER 24 SIMPLE LINEAR REGRESSION 173
CHAPTER 25 CENTERING THE PREDICTOR VARIABLE IN SIMPLE LINEAR REGRESSION 181
CHAPTER 26 MULTIPLE LINEAR REGRESSION 191
CHAPTER 27 HIERARCHICAL LINEAR REGRESSION 211
CHAPTER 28 POLYNOMIAL REGRESSION 217
CHAPTER 29 MULTILEVEL MODELING 225
PART 9 REGRESSING (PREDICTING) CATEGORICAL VARIABLES 253
CHAPTER 30 BINARY LOGISTIC REGRESSION 255
CHAPTER 31 ROC ANALYSIS 265
CHAPTER 32 MULTINOMINAL LOGISTIC REGRESSION 273
PART 10 SURVIVAL ANALYSIS 281
CHAPTER 33 SURVIVAL ANALYSIS: LIFE TABLES 283
CHAPTER 34 THE KAPLAN-MEIER SURVIVAL ANALYSIS 289
CHAPTER 35 COX REGRESSION 301
PART 11 RELIABILITY AS A GAUGE OF MEASUREMENT QUALITY 309
CHAPTER 36 RELIABILITY ANALYSIS: INTERNAL CONSISTENCY 311
CHAPTER 37 RELIABILITY ANALYSIS: ASSESSING RATER CONSISTENCY 319
PART 12 ANALYSIS OF STRUCTURE 329
CHAPTER 38 PRINCIPAL COMPONENTS AND FACTOR ANALYSIS 331
CHAPTER 39 CONFIRMATORY FACTOR ANALYSIS 353
PART 13 EVALUATING CAUSAL (PREDICTIVE) MODELS 379
CHAPTER 40 SIMPLE MEDIATION 381
CHAPTER 41 PATH ANALYSIS USING MULTIPLE REGRESSION 389
CHAPTER 42 PATH ANALYSIS USING STRUCTURAL EQUATION MODELING 397
CHAPTER 43 STRUCTURAL EQUATION MODELING 419
PART 14 t TEST 457
CHAPTER 44 ONE-SAMPLE t TEST 459
CHAPTER 45 INDEPENDENT-SAMPLES t TEST 463
CHAPTER 46 PAIRED-SAMPLES t TEST 471
PART 15 UNIVARIATE GROUP DIFFERENCES: ANOVA AND ANCOVA 475
CHAPTER 47 ONE-WAY BETWEEN-SUBJECTS ANOVA 477
CHAPTER 48 POLYNOMIAL TREND ANALYSIS 485
CHAPTER 49 ONE-WAY BETWEEN-SUBJECTS ANCOVA 493
CHAPTER 50 TWO-WAY BETWEEN-SUBJECTS ANOVA 507
CHAPTER 51 ONE-WAY WITHIN-SUBJECTS ANOVA 521
CHAPTER 52 REPEATED MEASURES USING LINEAR MIXED MODELS 531
CHAPTER 53 TWO-WAY MIXED ANOVA 555
PART 16 MULTIVARIATE GROUP DIFFERENCES: MANOVA AND DISCRIMINANT FUNCTION ANALYSIS 567
CHAPTER 54 ONE-WAY BETWEEN-SUBJECTS MANOVA 569
CHAPTER 55 DISCRIMINANT FUNCTION ANALYSIS 579
CHAPTER 56 TWO-WAY BETWEEN-SUBJECTS MANOVA 591
PART 17 MULTIDIMENSIONAL SCALING 603
CHAPTER 57 MULTIDIMENSIONAL SCALING: CLASSICAL METRIC 605
CHAPTER 58 MULTIDIMENSIONAL SCALING: METRIC WEIGHTED 613
PART 18 CLUSTER ANALYSIS 621
CHAPTER 59 HIERARCHICAL CLUSTER ANALYSIS 623
CHAPTER 60 K-MEANS CLUSTER ANALYSIS 631
PART 19 NONPARAMETRIC PROCEDURES FOR ANALYZING FREQUENCY DATA 643
CHAPTER 61 SINGLE-SAMPLE BINOMIAL AND CHI-SQUARE TESTS: BINARY CATEGORIES 645
CHAPTER 62 SINGLE-SAMPLE (ONE-WAY) MULTINOMINAL CHI-SQUARE TESTS 655
CHAPTER 63 TWO-WAY CHI-SQUARE TEST OF INDEPENDENCE 665
CHAPTER 64 RISK ANALYSIS 675
CHAPTER 65 CHI-SQUARE LAYERS 681
CHAPTER 66 HIERARCHICAL LOGLINEAR ANALYSIS 689
APPENDIX STATISTICS TABLES 699
REFERENCES 703
AUTHOR INDEX 713
SUBJECT INDEX 715
D. Michael Denbow, Ph.D., is a professor of Animal Science at Virginia Tech and has received numerous awards for outstanding teaching including Purina Mills Award for Teaching Excellence, Teaching Award of Merit, National Association of Colleges and Teachers of Agriculture, and the W.E. Wine Award for Excellence in Teaching from Virginia Tech.
