SENSORY Analysis Final

Analytic Testing

Objective sensory testing used to detect or describe product differences using trained or screened panelists.

Hedonic (Affective) Testing

Subjective sensory testing used to measure liking, preference, or acceptance using consumers.

Discrimination Testing

Sensory testing used to determine whether products are different or similar.

Difference Testing

Determines whether panelists can detect a difference between products.

Similarity Testing

Determines whether products are similar enough to be considered equivalent.

Triangle Test

Discrimination test with 3 samples where 1 sample is different; guess probability = 1/3.

Duo-Trio Test

Discrimination test using a reference sample plus 2 coded samples; guess probability = 1/2.

Paired Comparison Test

Test comparing 2 samples for a specific attribute or preference.

Tetrad Test

Discrimination test where 4 samples are grouped into 2 matching pairs; highly sensitive.

Guess Probability

Probability of getting the correct answer by chance alone in a discrimination test.

Binomial Distribution

Statistical method used to analyze discrimination test results based on correct responses.

Ranking Test

Test where panelists rank samples by intensity or preference.

Friedman Test

Nonparametric statistical test used to analyze ranking data.

Preference Test

Asks consumers which product they prefer.

Acceptance Test

Measures how much consumers like a product.

9-Point Hedonic Scale

Common acceptance scale ranging from “dislike extremely” to “like extremely.”

JAR (Just-About-Right) Scale

Scale measuring whether an attribute is too little, just right, or too much.

Penalty Analysis

Analysis showing how much liking drops when an attribute is not JAR.

Descriptive Statistics

Statistics used to summarize and organize data.

Inferential Statistics

Statistics used to make conclusions about a population from sample data.

Null Hypothesis (H₀)

Statement that no significant difference exists.

Alternative Hypothesis (Hₐ)

Statement that a significant difference exists.

p-value

Probability of observing the results if the null hypothesis is true.

Type I Error

False positive; rejecting a true null hypothesis.

Type II Error

False negative; failing to reject a false null hypothesis.

Confidence

Probability that conclusions from a study are correct.

Power

Ability of a test to detect a real difference when one exists.

Independent t-test

Statistical test comparing the means of 2 independent groups.

Paired t-test

Statistical test comparing 2 related measurements from the same panelists.

ANOVA (Analysis of Variance)

Statistical test used to compare more than 2 means.

One-Way ANOVA

ANOVA with one independent variable or factor.

Two-Way ANOVA

ANOVA with two independent variables or factors.

Post-Hoc Test

Test performed after ANOVA to determine which means differ significantly.

Tukey’s HSD

Common post-hoc test used after ANOVA for multiple comparisons.

Bonferroni Correction

Method that adjusts significance levels to reduce Type I error during multiple comparisons.

Post-Hoc Letter Interpretation

Method where samples sharing letters are not significantly different.

Descriptive Analysis (DA)

Sensory method measuring and describing attribute intensities.

Flavor Profile

Consensus descriptive analysis method using trained panelists.

QDA (Quantitative Descriptive Analysis)

Descriptive analysis method using intensity scales and trained panelists.

Texture Profile

Descriptive analysis focused specifically on texture characteristics.

Sensory Spectrum

Highly standardized descriptive analysis method using extensive panel training.

CATA (Check-All-That-Apply)

Rapid descriptive method where panelists check all applicable attributes.

PCA (Principal Component Analysis)

Multivariate statistical method used to visualize relationships among products and attributes.

Correspondence Analysis (CA)

Multivariate analysis commonly used with CATA data.

Qualitative Research

Research focused on opinions, attitudes, and motivations rather than numerical data.

Focus Group

Moderated group discussion used to collect detailed consumer opinions and perceptions.

Randomization

Method used to reduce order bias by changing sample presentation order.

Blinding

Method used to reduce bias by hiding product identities from panelists.

Carryover Effects

Effects from one sample influencing perception of the next sample.

Palate Fatigue

Reduced sensory sensitivity caused by tasting many samples.

Panelist

Person participating in a sensory study.

Analytic Test Panelists

Usually trained or screened individuals focused on objective evaluation.

Hedonic Test Panelists

Consumers representing the target market who provide subjective opinions.

Ordinal Data

Data with ranked order but unequal intervals between values.

Interval Data

Numerical data with equal intervals between values.

Significant Difference

Difference unlikely to have occurred by chance, usually when p < 0.05.

Fail to Reject H₀

Conclusion that there is not enough evidence to show a significant difference.

Reject H₀

Conclusion that evidence suggests a significant difference exists.

Consumer Acceptance

Overall liking or approval of a product by consumers.

Sensory Attribute

Characteristic of a product perceived by the senses, such as flavor or texture.

Rapid Descriptive Method

Fast sensory method requiring little or no panelist training.

Focus Group Limitation

Results are not statistically representative due to small sample size.

One Factor

Single independent variable in an experiment.

Two Factors

Two independent variables tested simultaneously in an experiment.

Similarity Claim

Statement claiming products are not significantly different.

Difference Claim

Statement claiming products are significantly different.

Chance Performance

Expected performance if panelists guessed randomly.

Sensory Fatigue

Loss of sensory sensitivity after repeated evaluations.

Bias

Influence that unfairly affects sensory results.

Control Sample

Reference product used for comparison in a sensory study.

Treatment Sample

Product that has been modified or tested against a control.

Consumer Panel

Group of consumers participating in affective sensory testing.

Trained Panel

Group of trained individuals participating in analytic sensory testing.