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16 Cards in this Set
- Front
- Back
What are 3 reasons why you want to avoid taking on a preference task to a triangle test?
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1 Different panels - a discrimination panel is not a consumer panel
2 Two different mindsets during each test type - difference is analytical vs integrative 3 General problem with what to do with those who got triangle test wrong but showed a preference; plus, some who got tri test right only did so by guessing |
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What are the pros for including a no-preference option in a paired preference test?
(cons on next card) |
Pros:
- Some people truly have no preference and this allows them to voice it - if Choice "a" and choice "b" are equally liked, there is a big difference in tests when 85 report no preference vs 5 (ie there may be one group that likes a and one that likes b) |
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What are the cons for including a no-preference option in a paired preference test?
(cons on next card) |
Cons:
- Lower powered test - more difficult stat analysis - they may be able to detect a difference but it's not "large" enough for them to report it (or they don't want to take time to decide if there is a difference) |
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Subjects did not perceive a significant difference in firmness between samples on the 1st day of testing. When the second samples tasted were compared, they found a significant difference. Why?
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The consumers frame of reference for "firmness" was lacking on day 1 - on day 2, they could use their previous judgments of firmness to rate the samples.
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What type of sensory test would you recommend for measuring small children’s (e.g. less than 3 year olds) liking for foods? What techniques would you recommend for measuring 4-5 year olds preferences?
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Younger than 3: a paired preference test with one-on-one coaching works
Older children can either do that or rate using a 5 of 7-pt hedonic scale with P&K verbal descriptors (like "super good, etc.). |
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What does the just-right scale measure? What bias needs to be avoided?
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It measures the desirability of an attribute & these scales are often used to determine optimum levels of attributes in products. It combines hedonic/intensity judgments & provides directional info for prod. development.
**Centering bias** the middle product usually winds up in the middle of the scale regardless of whether or not it's "just right" |
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Explain what the authors mean when they say “in the combination of hedonic and intensity information, the actual intensity scores are obscured”.
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When scales that combine hedonic & intensity information are used (like the JR scale), the missing piece of information is: how intense does the subject like it? By not asking intensity directly, you don't know how intense people perceive it.
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What are the advantages to having subjects score both the intensity and the intensity of an ideal sample?
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1. Absolute intensity scores are obtained & relative to ideal
2. Individual scores can be represented as a deviation from ideal & 'just right' can be figured out 3. ** An Ideal Product Profile can be constructed |
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What is the bliss point?
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You should know to draw this!
The bliss point is the optimum intensity and appears as the peak in a nonmonotonic function. The JAR scale "unwraps" this function for easier modeling |
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What measurement of a concentration vs. liking or a concentration vs. JAR response may serve as an indicator of a judge’s tolerance for deviations from an ideal level of an ingredient?
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?! No answer - asking mary
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What is the food action rating scale? How does it compare with the 9-point hedonic scale?
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It's an action-oriented index of food acceptance, and it has 9-levels. Scale terms are based on attitudes, actions, and some motivationally related statements. An example is "I would eat this very often" Results tend to correlate to results from 9-pt hedonic scaling of the product.
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What is the “Acceptor set size”?
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It's the proportion of consumers who find a product acceptable. Variables of a product that have a strong impact on changing the acceptor size set would be the most influential in optimizing
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Compare and contrast the use of a 9-point hedonic scale vs. the use of an Acceptor set size measurement.
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- Acceptor size set tells you one measurement only / hedonic scaling provides much more information regarding the product
- the two values do not nec. match - higher preference ratings on a scale do not always match up with acceptance. - acceptor size set more robust to strongly opinionated judges (who rate very high or low using 9 pt scale) |
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What are the most important qualifications for participants in consumer tests?
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- That they are regular consumers/purchasers of the product category
- That they are representative of the target population - That they like the product |
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What are some potential problems with using employee panelists for liking tests?
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- Employees may not represent the target population & may not respond the same way customers would
- Employees may have unusual usage patterns - Employees are often more familiar/critical of the product |
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How can you determine whether an employee panel is responding in the same manner as an outside consumer panel?
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Regularly check the results derived from the employee panel with those derived from consumers recruited outside the company; analyze with a slit-plot ANOVA & if F-value for panel is significant, there responses are different. Panel*Product interaction is also telling.
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