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Statistics for Consumer Science Data

All public and in-house courses

Home / Training / Statistics for Consumer Science Data

Showing 1–16 of 25 results

    • Public courses
    • At your company courses
    • Recordings

    These public courses are open for anyone to book. If you have any questions please don't hesitate to get in touch.

    These courses can be run at your office, or another location, specifically for your team. If you have any questions please don't hesitate to get in touch.

    Introduction to Bayesian Network Analysis for Market and Consumer Research

    1 day

    This one-day workshop gives an introduction to Bayesian Networks and their application to data from consumer and market research.

    Statistics for Consumer Research

    1 - 3 days

    Training is in three, one day modules. Modules cover key statistical techniques used in the analysis of the data scales commonly collected in consumer research studies to compare products or brands.

    Understanding Basic Statistics (Non-software based)

    0.5 - 1 day

    A course for professionals who need to understand statistics reports and presentations and interpret what they see correctly to make informed decisions, rather than carry out analyses themselves.

    These webinar recordings are available for anyone to purchase. Please check the public course listing if you'd prefer to attend a live event. If you have any questions please don't hesitate to get in touch.

    Discrimination Testing - the why and how (On Demand)

    Remote training

    Virtual option available

    Statistical analysis for discrimination testing - focussing on Triangle and Tetrad tests - using EyeOpenR software

    Analysis of consumer data - C12 - Further mapping methods, combining data from different sources on the same products (On Demand)

    Remote training

    Virtual option available

    MFA, GPA and STATIS. Applications to measuring brand effects and analysis of napping data.

    Analysis of consumer data - C11 - Three Way Data Mapping using MFA + Further Applications of PCA (On Demand)

    Remote training

    Virtual option available

    Mapping different types of data on the same products using MFA, and further applications of PCA (using supplementary variables and internal preference mapping)

    Analysis of consumer data - C9 - Using "Check All That Apply" (CATA) scales to understand consumer product choices (On Demand)

    Remote training

    Virtual option available

    Which CATA questions discriminate between sample? Visualising product difference in the CATA space using correspondence analysis.

    Analysis of consumer data - C10 - Other scales, comparing products using "Rate All That Apply" (RATA), ranking and proportion data (On Demand)

    Remote training

    Virtual option available

    Comparing product performance using percentage measures and Rate all that apply (RATA). Watch the video in our on demand training and join in with the workshops in your own time.

    Applications of Experimental Design in Consumer Research - Case studies (On demand)

    Online

    Virtual option available

    Case Studies illustrating product insights and optimisation Experimental Design methods are now widely used to optimise manufacturing processes and have an important role in product development.

    Analysis of consumer data - C15 - Looking at product differences using "Rapid" consumer methods: free sorting tasks (On Demand)

    Remote training

    Virtual option available

    Design of studies, number of samples/number of assessors, analysis using multidimensional scaling and cluster analysis. Hierarchical sorting to gain more insights.

    Analysis of consumer data - C14 - Combining data sets to visualise the link between product characteristics & preferences - External preference mapping (On Demand)

    Remote training

    Virtual option available

    A graphical technique to visualise how liking (by individual consumer or on average) varies over a product space and to thus predict “sweet spots” in the sensory space.

    Analysis of consumer data - C13 - Predicting product performance from existing data using machine learning methods - Partial Least Squares (PLS) modelling (On Demand)

    Remote training

    Virtual option available

    Technique to build models to predict one block of correlated data from another. Applications covered include models to predict liking (from sensory/analytic data) or to predict sensory from data.

    Analysis of consumer data - C8 - Using categorical variables to drive insights using correspondence analysis (CA) mapping (On Demand)

    Remote training

    Virtual option available

    How the technique works, interpretation of maps etc Watch our on demand training and join in with the workshops in your own time

    Analysis of consumer data - C7 - Analysing "Just About Right" (JAR) scales for product optimisation (On demand)

    Remote training

    Virtual option available

    Do my products differ by JAR scale? Do these diagnostics impact liking? Watch our on demand training and join in with the workshops in your own time

    Analysis of consumer data - C6 - Who likes what? Demographic segmentation of product acceptability (On Demand)

    Remote training

    Virtual option available

    Do different demographics like different products? Are my liking clusters defined by demographics? On demand version!

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