Check-all-that-apply (CATA) questions for sensory product characterization by consumers: Investigations into the number of terms used in CATA questions

[1]  R. Fisher,et al.  Statistical Methods for Research Workers. , 1955 .

[2]  Earl R. Babbie,et al.  The practice of social research , 1969 .

[3]  P. Robert,et al.  A Unifying Tool for Linear Multivariate Statistical Methods: The RV‐Coefficient , 1976 .

[4]  Anthony A. Williams,et al.  The use of free-choice profiling for the evaluation of commercial ports , 1984 .

[5]  Edward B. Manoukian,et al.  Mathematical nonparametric statistics , 1986 .

[6]  J. Krosnick,et al.  AN EVALUATION OF A COGNITIVE THEORY OF RESPONSE-ORDER EFFECTS IN SURVEY MEASUREMENT , 1987 .

[7]  Norman M. Bradburn,et al.  DO RESPONDENTS REALLY “MARK ALL THAT APPLY” ON SELF-ADMINISTERED QUESTIONS? , 1994 .

[8]  K. Tie,et al.  Genetic variation and inferences about perceived taste intensity in mice and men , 2000, Physiology & Behavior.

[9]  Ian Wakeling,et al.  Mealiness in Apples: Towards a Multilingual Consumer Vocabulary , 2001 .

[10]  R. Popper,et al.  The effect of attribute questions on overall liking ratings , 2004 .

[11]  R. Fisher Statistical methods for research workers , 1927, Protoplasma.

[12]  Sébastien Lê,et al.  FactoMineR: An R Package for Multivariate Analysis , 2008 .

[13]  Adriana Gámbaro,et al.  Texture concepts for consumers: a better understanding of crispy–crunchy sensory perception , 2008 .

[14]  Dominique Valentin,et al.  Aroma properties of young Spanish monovarietal white wines: a study using sorting task, list of terms and frequency of citation , 2008 .

[15]  Jérôme Pagès,et al.  Testing the significance of the RV coefficient , 2008, Comput. Stat. Data Anal..

[16]  Age K. Smilde,et al.  Real-life metabolomics data analysis : how to deal with complex data ? , 2010 .

[17]  Young-Seung Lee,et al.  The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping , 2010 .

[18]  Dominique Valentin,et al.  Comparison of conventional descriptive analysis and a citation frequency-based descriptive method for odor profiling: An application to Burgundy Pinot noir wines , 2010 .

[19]  Gastón Ares,et al.  APPLICATION OF A CHECK‐ALL‐THAT‐APPLY QUESTION TO THE DEVELOPMENT OF CHOCOLATE MILK DESSERTS , 2010 .

[20]  G. Ares,et al.  EXPLORING AND EXPLAINING CREAMINESS PERCEPTION: CONSUMERS' UNDERLYING CONCEPTS , 2011 .

[21]  Gastón Ares,et al.  EXTERNAL PREFERENCE MAPPING OF COMMERCIAL ANTIAGING CREAMS BASED ON CONSUMERS' RESPONSES TO A CHECK‐ALL‐THAT‐APPLY QUESTION , 2011 .

[22]  Gastón Ares,et al.  CONSUMERS' TEXTURE PERCEPTION OF MILK DESSERTS. II – COMPARISON WITH TRAINED ASSESSORS' DATA , 2012 .

[23]  Gastón Ares,et al.  Sensory profiling, the blurred line between sensory and consumer science. A review of novel methods for product characterization , 2012 .

[24]  Jason Parcon,et al.  A method to investigate the stability of a sorting map , 2012 .

[25]  Daniel M. Ennis,et al.  Analysis and Thurstonian Scaling of Applicability Scores , 2013 .

[26]  S. V. Lipchock,et al.  Human bitter perception correlates with bitter receptor messenger RNA expression in taste cells. , 2013, The American journal of clinical nutrition.

[27]  Gastón Ares,et al.  Check-all-that-apply (CATA) responses elicited by consumers: Within-assessor reproducibility and stability of sensory product characterizations , 2013 .

[28]  S. Jaeger,et al.  Investigation of bias of hedonic scores when co-eliciting product attribute information using CATA questions , 2013 .

[29]  C. J. Findlay,et al.  Experimental consideration for the use of check‐all‐that‐apply questions to describe the sensory properties of orange juices , 2013 .

[30]  S. Jaeger,et al.  CATA questions for sensory product characterization: Raising awareness of biases , 2013 .

[31]  Tormod Næs,et al.  Performance indices in descriptive sensory analysis – A complimentary screening tool for assessor and panel performance , 2013 .

[32]  John C. Castura,et al.  Existing and new approaches for the analysis of CATA data , 2013 .

[33]  S. Jaeger,et al.  Check-all-that-apply questions: Influence of attribute order on sensory product characterization , 2013 .

[34]  Michelle K. Beresford,et al.  A Mendelian Trait for Olfactory Sensitivity Affects Odor Experience and Food Selection , 2013, Current Biology.

[35]  Gastón Ares,et al.  Investigation of the number of consumers necessary to obtain stable sample and descriptor configurations from check-all-that-apply (CATA) questions , 2014 .

[36]  S. Jaeger,et al.  Lack of evidence that concurrent sensory product characterisation using CATA questions bias hedonic scores , 2014 .

[37]  Hervé Abdi,et al.  An ExPosition of multivariate analysis with the singular value decomposition in R , 2014, Comput. Stat. Data Anal..

[38]  Gastón Ares,et al.  Visual attention by consumers to check-all-that-apply questions: Insights to support methodological development , 2014 .

[39]  Gastón Ares,et al.  Comparison of check-all-that-apply and forced-choice Yes/No question formats for sensory characterisation , 2014 .

[40]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[41]  Gastón Ares,et al.  Further investigations into the reproducibility of check-all-that-apply (CATA) questions for sensory product characterization elicited by consumers , 2014 .

[42]  Gastón Ares,et al.  Evaluation of a rating-based variant of check-all-that-apply questions: Rate-all-that-apply (RATA) , 2014 .

[43]  Richard Popper Use of Just-About-Right Scales in Consumer Research , 2014 .

[44]  S. Jaeger,et al.  Examination of sensory product characterization bias when check-all-that-apply (CATA) questions are used concurrently with hedonic assessments , 2015 .

[45]  El Mostafa Qannari,et al.  Measures of association between two datasets; Application to sensory data , 2015 .