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Lectures from 02930 The Analysis of Sensory and Consumer Data

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d-prime like interpretations of mixed model output.

An improved alternative to multi-attribute F-barplots.

Date: 21/08/2015 15:25 - Duration: 00:22:58 - Views: 63

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MAM: Scaling correction of sensory data

What can R (SensMixed) do for you - including MAM-CAP table information.

Date: 21/08/2015 15:23 - Duration: 00:13:23 - Views: 52

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MAM: Scaling correction of sensory data

Basis versus covariate version. Conditional and adjusted versions.

Date: 21/08/2015 15:22 - Duration: 00:03:34 - Views: 48

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MAM: Scaling correction of sensory data

Motivation, background and Sensobase meta investigation.

Date: 21/08/2015 15:20 - Duration: 00:24:29 - Views: 34

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Ordinal data analysis

A few short examples.

Date: 21/08/2015 15:18 - Duration: 00:07:58 - Views: 64

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Ordinal data analysis

Mixed model extensions of clms.

Date: 21/08/2015 15:02 - Duration: 00:04:01 - Views: 41

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Ordinal data analysis

Extensions of the clm-model, e.g. including differences of product variances.

Date: 21/08/2015 15:00 - Duration: 00:06:26 - Views: 57

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Ordinal data analysis

The cumulative link model and the clm function of the ordinal package.

Date: 21/08/2015 14:59 - Duration: 00:07:57 - Views: 54

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The ordinal package

An overview of different types of ordinal data

Date: 21/08/2015 14:56 - Duration: 00:14:51 - Views: 49

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ANOVA for d-primes

Post-hoc tests and comparisons.

Date: 21/08/2015 14:51 - Duration: 00:20:34 - Views: 66

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Common multi-protocol d-prime

Estimating and testing the common d-prime (discrimination and/or similarity)

Date: 21/08/2015 14:50 - Duration: 00:02:46 - Views: 48

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One-way ANOVA for d-primes

Principles, maximum likelihood and sensR tutorial.

Date: 21/08/2015 14:48 - Duration: 00:15:30 - Views: 52

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The A-not-A with sureness protocol.

And the soup data example and a little ordinal tutorial.

Date: 21/08/2015 14:43 - Duration: 00:22:55 - Views: 49

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Measures of sensitivity

AUC (area under curve), overlap and d-primes. And how to with sensR and ordinal.

Date: 21/08/2015 14:42 - Duration: 00:11:39 - Views: 49

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MAM and d-prime in SensMixed

presentation on how to correct for the scaling effect and plot d-prime plots in SensMixed

Date: 21/08/2015 13:18 - Duration: 00:22:25 - Views: 51

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! NO TITLE !

Date: 20/08/2015 17:51 - Duration:

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The A-not-A test

Procedure, Thurstonian model and sensR-tutorial.

Date: 20/08/2015 16:52 - Duration: 00:06:32 - Views: 56

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The same-different test

Procedure, Thurstonian model and sensR-tutorial.

Date: 20/08/2015 16:50 - Duration: 00:20:21 - Views: 50

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Likelihood based confidence intervals

Perspectives and more discussion based on sensR output.

Date: 20/08/2015 16:46 - Duration: 00:12:43 - Views: 53

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Likelihood based confidence intervals

Examples revisited.

Date: 20/08/2015 16:44 - Duration: 00:01:50 - Views: 54

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Likelihood based confidence intervals

The likelihood function and principle.

Date: 20/08/2015 16:42 - Duration: 00:11:05 - Views: 50

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Likelihood based confidence intervals

Motivation and examples.

Date: 20/08/2015 16:41 - Duration: 00:10:53 - Views: 60

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PCA and Prefmap

PCA and Preference mapping in ConsumerCheck Software

Date: 19/08/2015 22:44 - Duration: 00:26:40 - Views: 68

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PanelCheck: Statis.

A few words: Weighted PCA based on agreement weights.

Date: 19/08/2015 15:06 - Duration: 00:07:22 - Views: 66

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PanelCheck: Export of plots.

Very brief.

Date: 19/08/2015 15:04 - Duration: 00:01:02 - Views: 45

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PanelCheck: Plot based one individual one-way ANOVAs

F plots, MSE plots and p*MSE plots.

Date: 19/08/2015 15:04 - Duration: 00:09:48 - Views: 47

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PanelCheck: Manhattan plots

Visualizing attribute wise explained variances from individually assessor-wise performed PCAs.

Date: 19/08/2015 15:02 - Duration: 00:14:40 - Views: 63

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PanelCheck: Tucker 1 plots

How to investigate multivariate (dis)agreement between assessors.

Date: 19/08/2015 15:00 - Duration: 00:13:54 - Views: 56

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PanelCheck: Workflow

How to use the various features of PanelCheck in your work with sensory panels.

Date: 19/08/2015 14:57 - Duration: 00:06:28 - Views: 51

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PanelCheck: Data structure and data import

And what about missing values?

Date: 19/08/2015 14:55 - Duration: 00:04:03 - Views: 55

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PanelCheck: What is it and what can you use it for

An overview.

Date: 19/08/2015 14:53 - Duration: 00:13:10 - Views: 59

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Conjoint analysis in ConsumerCheck.

A tutorial.

Date: 18/08/2015 16:00 - Duration: 00:20:07 - Views: 65

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SensMixed: The Shiny version.

A tutorial for how to analyze more generally structured multi-attribute sensory data by the Shiny browser interface of the SensMixed package.

Date: 18/08/2015 13:58 - Duration: 00:29:02 - Views: 69

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ANOVA with PanelCheck

A brief tutorial.

Date: 18/08/2015 13:55 - Duration: 00:09:02 - Views: 47

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The 3-way mixed model ANOVA in PaneclCheck.

Taking also session and/or product batch effects into account.

Date: 18/08/2015 13:55 - Duration: 00:10:25 - Views: 55

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The proper product difference F-test

And the relation to the standard fixed effect ANOVA table.

Date: 18/08/2015 13:53 - Duration: 00:02:13 - Views: 52

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Two-way ANOVA with replications

Panelist-by-product interaction and the concept of a random effect.

Date: 18/08/2015 13:50 - Duration: 00:22:54 - Views: 61

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The basic single observation 2-way ANOVA.

And the link to paired t-testing.

Date: 18/08/2015 13:49 - Duration: 00:12:23 - Views: 52

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The three ANOVA options in PanelCheck.

A brief overview.

Date: 18/08/2015 13:47 - Duration: 00:16:20 - Views: 54

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Introduction to mixed models

Motivating mixed models and explaining what they can do for you

Date: 18/08/2015 11:25 - Duration: 00:14:14 - Views: 57

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Mixed model software by the DTU Sensometrics group

An brieg overview of PanelCheck, ConsumerCheck, lmerTest, SensMixed, sensR and ordinal.

Date: 18/08/2015 11:23 - Duration: 00:14:02 - Views: 67

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Replicated difference testing.

What is the challenge? Simulations and analysis by corrected beta-binomial with sensR.

Date: 18/08/2015 06:28 - Duration: 00:29:14 - Views: 59

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Power and sample size for similarity testing.

And how to do find these with sensR.

Date: 18/08/2015 06:21 - Duration: 00:09:37 - Views: 55

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Similarity testing.

And how to do it with sensR.

Date: 18/08/2015 06:19 - Duration: 00:23:20 - Views: 47

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Power and the five discrimination test protocols.

And "first" versus "stable exact" sample sizes.

Date: 18/08/2015 06:18 - Duration: 00:07:07 - Views: 45

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Power and sample size for discrimination testing.

And how to find these with sensR.

Date: 18/08/2015 06:16 - Duration: 00:26:26 - Views: 49

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What is the interpretation of the d-prime?

As opposed to just looking at the p-value.

Date: 18/08/2015 06:15 - Duration: 00:04:33 - Views: 69

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The Thurstonian model.

d-primes, resolving Gridgeman's paradox and how to get it from sensR.

Date: 18/08/2015 06:13 - Duration: 00:23:29 - Views: 64

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Proportion discriminators interpretation.

And using sensR to jump between observed and discriminator interpretation.

Date: 18/08/2015 06:11 - Duration: 00:13:13 - Views: 55

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Five basic discrimination protocols

And recommendations for protocol choice.

Date: 18/08/2015 06:10 - Duration: 00:06:57 - Views: 66

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Basic sensory difference testing

And the first use of sensR.

Date: 18/08/2015 06:07 - Duration: 00:22:41 - Views: 76

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The sensR package

An overview of package features.

Date: 18/08/2015 06:05 - Duration: 00:15:10 - Views: 59

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Course software - an overview.

Including a small R intro.

Date: 18/08/2015 06:04 - Duration: 00:13:13 - Views: 85

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Total duration: 11:47:39