14 results on '"Kuesten, Carla"'
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2. Type I error, testing power, and predicting precision based on the GLM and LM models for CATA data--Further discussion with M. Meyners and A. Hasted
3. Japanese consumer segmentation based on general self-efficacy psychographics data collected in a phytonutrient supplement study: Influence on health behaviors, well-being, product involvement and liking
4. Commentary on Meyners and Hasted (2021): On the applicability of ANOVA models for CATA data, Food Quality and Preference, 92
5. TURF analysis for CATA data using R package ‘turfR’
6. Application of a panel performance reliability versus product effect size (PR-ES) framework: A protein powder case study
7. The four-interval, two-alternative forced-choice (4I2AFC): A powerful sensory discrimination method to detect small, directional changes particularly suitable for visual or manual evaluations
8. Paired versions of various sensory discrimination forced-choice methods and the same-different area theorem
9. Analyzing consumers’ Profile of Mood States (POMS) data using the proportional odds model (POM) for clustered or repeated observations and R package ‘repolr’
10. Propensity score analysis (PSA) for sensory causal inference – Global consumer psychographics and applications for phytonutrient supplements
11. Revisiting Fisher’s ‘Lady Tasting Tea’ from a perspective of sensory discrimination testing
12. A global study using PANAS (PA and NA) scales to measure consumer emotions associated with aromas of phytonutrient supplements
13. Exploring taffy product consumption experiences using a multi-attribute time–intensity (MATI) method
14. Sequential use of the triangle, 2-AC, 2-AFC, and same-different methods applied to a cost-reduction effort: consumer learning acquired throughout testing and influence on preference judgements
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