Discrimination Testing in Sensory Science: A Practical Handbook (Woodhead Publishing Series in Food Science, Technology and Nutrition)

__Discrimination Testing in Sensory Science: A Practical Handbook__ is a one-stop-shop for practical advice and guidance on the performance and analysis of discrimination testing in sensory science. The book covers all aspects of difference testing: the history and origin of different methods, the practicalities of setting up a difference test, replications, the statistics behind each test, dealing with the analysis, action standards, and the statistical analysis of results with R. The book is written by sensory science experts from both academia and industry, and edited by an independent sensory scientist with over twenty years of experience in planning, running and analyzing discrimination tests. This is an essential text for academics in sensory and consumer science and any sensory scientist working in research and development in food, home, and personal care products, new product development, or quality control. * Contains practical guidance on the performance and analysis of discrimination testing in sensory and consumer science for both food and non-food products * Includes the latest developments in difference testing, including both new methods and state-of-the-art approaches * Features extensive coverage of analysis with a variety of software systems * Provides essential insight for academics in sensory and consumer science and any sensory scientist working in research and development in food, home, and personal care products, new product development, or quality control Front Cover -- Discrimination Testing in Sensory Science -- Related Titles -- Discrimination Testing in Sensory Science -- Copyright -- Dedication -- Contents -- List of Contributors -- Preface -- Acknowledgments -- I - Introduction to Discrimination Testing -- 1 - Introduction and History of Sensory Discrimination Testing -- REFERENCES -- FURTHER READING -- 2 - Statistics for Use in Discrimination Testing -- 1. BUSINESS RISK -- 1.1 Conventional Hypothesis Testing -- 1.1.1 The p-Value -- 1.1.2 Type I and Type II Errors -- 1.1.3 The Momentary Proportion of Discriminators -- 1.1.4 Sensory Tests for Difference in Tests Without Chance Bounds -- 1.1.5 Statistical Significance Is Not Practical Significance -- 1.1.6 Sensory Tests for Equivalency or Noninferiority -- 1.2 Reframing the Hypothesis Test Using Likelihood or Bayesian Inference -- 2. DATA ARISING FROM SENSORY DISCRIMINATION TEST METHODS -- 2.1 Classification of Methods -- 2.2 Importance of Experimental Design on Analysis -- 3. ANALYSIS OF DATA ARISING FROM TESTS WITH A CHANCE BOUND (E.G., TRIANGLE TEST) -- 3.1 Unreplicated Data -- 3.2 Replicated Data -- 3.3 Statistical Power -- 4. ANALYSIS OF DATA ARISING FROM SIMPLE CLASSIFICATION TASKS WITHOUT A CHANCE BOUND (E.G., A-NOT-A TEST) -- 4.1 Unreplicated Data -- 4.2 Replicated Data -- 4.3 Statistical Power -- 5. ANALYSIS OF DATA ARISING FROM DIFFERENCE FROM CONTROL/DEGREE OF DIFFERENCE TEST METHODS -- 6. ANALYSIS OF DATA ARISING FROM A RANKING TEST METHOD -- 7. EVALUATING SENSORY EQUIVALENCY -- 7.1 Equivalence Testing for Data Arising From Tests With a Correct Response -- 7.2 Equivalence Testing for Data Arising From Tests That Do Not Have a Correct Response -- 8. CONTEXTUALIZING SENSORY DISCRIMINATION RESULTS TO MAKE BUSINESS DECISIONS -- 9. SUMMARY -- 10. RECOMMENDED READING -- ACKNOWLEDGMENTS -- REFERENCES