Cargando…
Individual Differences in Sensory and Consumer Science : Experimentation, Analysis and Interpretation.
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 interpret...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Elsevier Ltd. : Woodhead Publishing,
2018.
|
| Colección: | Woodhead Publishing in food science, technology, and nutrition.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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