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Individual differences in sensory and consumer science

Titre :	Individual differences in sensory and consumer science : experimentation, analysis and interpretation Ajouter au panier
Auteur(s) :	Tormod Naes Paula Varela Ingunn Berget
Type de document :	Livre
Sujets :	Analyse des données ; Analyse sensorielle ; Consommateurs -- Comportement
Résumé :	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.
Editeur(s) :	Cambridge : Woodhead Publishing
Date de publication :	2018
Collection :	Woodhead Publishing Series in Food Science, Technology and Nutrition
Format :	1 vol. (IX-250 p.) / ill. en coul., couv. ill. en coul. / 23 cm
Note(s) :	Bibliogr. Index. Annexes
Table des matières :	1. Background and Overview 1.1. Introduction 1.2. Why Are Individual Differences Important in Sensory and Consumer Science? 1.3. Data Types Considered in the Book 1.4. Relations to Other Books 1.5. Structure of This Book 2. General Framework and Relations Between Chapters 2.1. General Framework 2.2. Important Distinctions Between Scopes and Data Types 2.3. How the General Framework Relates to the Different Chapters 2.4. R[...] 1. Background and Overview 1.1. Introduction 1.2. Why Are Individual Differences Important in Sensory and Consumer Science? 1.3. Data Types Considered in the Book 1.4. Relations to Other Books 1.5. Structure of This Book 2. General Framework and Relations Between Chapters 2.1. General Framework 2.2. Important Distinctions Between Scopes and Data Types 2.3. How the General Framework Relates to the Different Chapters 2.4. Relations Between Chapters and Statistical Methodologies 3. Individual Differences in Descriptive Sensory Data (DA) 3.1. Purpose and Main Interest 3.2. Data Types 3.3. Different Types of Individual Differences 3.4. Initial Steps in the Workflow 3.5. ANOVA-Based Tools for Detecting Individual Differences 3.6. Graphical Tools for Detecting Lack of Reproducibility 3.7. Segmentation and Detecting Outlying Assessors 3.8. Validation Based on Relations to Chemical Data 3.9. Miscellaneous 3.10. Analyzing Individual Differences in Related Types of Data 3.11. Summaries of Results 3.12. Using Information About Individual Differences for Improving Panel Averages 3.13. Relations to Other Chapters 4. Individual Differences in Projective Mapping and Sorting Data 4.1. Purpose and Main Interest 4.2. Data Types 4.3. Standard Analyses of PM Data 4.4. Multiple Factor Analysis 4.5. Generalized Procrustes Analysis 4.6. Individual Differences Scaling 4.7. Segmentation and Estimating Relations to Consumer Factors 4.8. Analysis of Sorting Data 4.9. Relations to Methodology in Other Chapters 5. Individual Differences in CATA and PSP Data 5.1. Purpose and Main Interest 5.2. Data Types 5.3. Analysis of CATA Data 5.4. Analysis of PSP Data 5.5. Relations to Methodology in Other Chapters 6. Individual Differences in TDS and TCATA Data 6.1. Purpose and Main Interest 6.2. Data Types 6.3. Standard Analyses of TDS Data 6.4. Standard Analysis of TCATA Data 6.5. Analysis of Individual Differences in TDS and TCATA Data 6.6. Relations to Other Chapters 7. Individual Differences in Consumer Liking Data (Rating Based) 7.1. Purpose and Main Interest 7.2. Data Types 7.3. ANOVA-Based Approaches for Studying Product Differences 7.4. Multivariate Approaches for Interpretation of Acceptance Patterns 7.5. Preference Mapping for Identifying Drivers of Liking 7.6. Conjoint Studies Analyzed by Multivariate Methods 7.7. Segmentation of Consumers According to Preference Patterns—A Posteriori Segmentation 7.8. Incorporating External Attributes for Interpreting Individual Differences 7.9. Analyzing Several Liking Values for Improved Insight in Consumer Acceptance Pattern 7.10. Unfolding as an Alternative to Standard Internal Preference Mapping 7.11. Using JAR Scale for Improved Understanding of Liking Data 7.12. Relations to Methodology Used in Other Chapters 8. Individual Differences in Choice and Ranking Experiments 8.1. Purpose and Main Interest 8.2. Data Types 8.3. Choice-Based Conjoint Analysis 8.4. Relating Individual Differences to Consumer Factors 8.5. Ranking-Based Studies 8.6. Take-Away Studies 8.7. Relations to Methodology Used in Other Chapters 9. Data Analysis in Practice 9.1. Introduction 9.2. Data Analysis Strategies 9.3. Overview of Important Software Packages for Data Analysis 9.4. Software for General Statistical Methodology 9.5. Software for Methodology Specific to Sensory and Consumer Science Appendix A: PCA Appendix B: Regression Analysis and Relations to ANOVA Appendix C: Cluster Analysis
Langue(s) :	Anglais
Identifiant :	978-0-08-101000-6
Lien vers la notice :	https://infodoc.agroparistech.fr/index.php?lvl=notice_display&id=197695

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