Includes bibliographical references and index.

Online resource; title from PDF title page (EBSCO, viewed February 28, 2018).

Front Cover; Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation; Copyright; Contents; Acknowledgments; Chapter 1: Background and Overview; 1.1. Introduction; 1.2. Why Are Individual Differences Important in Sensory and Consumer Science?; 1.2.1. Preference Development; 1.2.2. Segmentation Beyond Liking; 1.2.2.1. Psychological Traits, Cognitive Styles, Attitudes; 1.2.2.2. Familiarity; 1.2.2.3. Emotions; 1.2.3. Individual Differences in Sensory Perception; 1.2.4. Situation and Context as a Driver of Individual Differences

1.3. Data Types Considered in the Book1.3.1. Rating Scales, Ranking, and Choice; 1.3.2. Distance-Based Methods; 1.3.3. Categorical Scales; 1.3.4. Binary Data; 1.4. Relations to Other Books; 1.5. Structure of This Book; References; Chapter 2: General Framework and Relations Between Chapters; 2.1. General Framework; 2.1.1. Scopes of Analyses; 2.1.2. Data Sets Involved; 2.1.3. Notation; 2.2. Important Distinctions Between Scopes and Data Types; 2.2.1. Segmentation or Individual Differences Per se; 2.2.2. Separate or Simultaneous Analysis of Assessors; 2.2.3. Two-Way or Multi-way Master Data Set

2.2.4. The Master Data Set Is Analyzed Alone or Linked to Information About Samples and/or Assessors2.3. How the General Framework Relates to the Different Chapters; 2.3.1. Individual Differences in Descriptive Sensory Data (DA, Chapter 3); 2.3.2. Individual Differences in Projective Mapping and Sorting Data (Chapter 4); 2.3.3. Individual Differences in CATA and PSP Data (Chapter 5); 2.3.4. Individual Differences in TDS and TCATA Data (Chapter 6); 2.3.5. Individual Differences in Consumer Liking Data (Rating Based, Chapter 7)

2.3.6. Individual Differences in Choice and Ranking Experiments (Chapter 8)2.4. Relations Between Chapters and Statistical Methodologies; References; Chapter 3: Individual Differences in Descriptive Sensory Data (DA); 3.1. Purpose and Main Interest; 3.2. Data Types; 3.2.1. The Master Data Set; 3.2.2. Additional Data; 3.2.3. Relation to General Framework; 3.3. Different Types of Individual Differences; 3.4. Initial Steps in the Workflow; 3.4.1. A Full Two-Way ANOVA for Overall Evaluation of Significance; 3.4.2. Initial Analysis of Data Based on a Concatenated PCA (Tucker-1) Model

3.5. ANOVA-Based Tools for Detecting Individual Differences3.5.1. ANOVA for Assessing Discrimination and Repeatability; 3.5.2. The Mixed Assessor Model for Joint Modeling of Products and Individual Differences; 3.6. Graphical Tools for Detecting Lack of Reproducibility; 3.6.1. Comparing Single Assessors to the Panel Average Graphically; 3.6.2. Detailed Analysis of Raw Data Based on Line Plots; 3.6.3. Analysis of Consonance; 3.6.4. Eggshell Plot; 3.6.5. Procrustes Rotation/Analysis for Detecting Reproducibility; 3.7. Segmentation and Detecting Outlying Assessors

Individual Differences in Sensory and Consumer Science: Experimentation, Analysis and Interpretation presents easily readable, state-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, be it product research and development, quality control or consumer acceptance studies. Written by an experienced team of statisticians and sensory and consumer scientists, the book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance.

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