Fizz Calculations is a free component of all FIZZ packages, for analyses right after the data collection.
Advanced statistics and graphics
Many advanced statistical tools are readily available, with the corresponding presentation-ready graphs.
Database information
Include information from the database in your output: characteristics of your test (project, client, ...), your samples (production date, package, brand, ...), and your judges (gender, occupation, ...).Export - Import
You can use scripts to quickly build reports with a series of analysis outputs and graphs.Raw data collected with FIZZ can also be exported automatically to your statistical package, or any type of spreadsheet (for example Excel) ...
You can import external data into FIZZ and do all your analysis within the Calculations module.
Statistics and graphics
List of statistics and graphics available with Fizz
Profiles | Descriptive statistics, interaction graphs, product comparison graphs |
Judge performance graphs and tables | |
Frequencies, distributions (including custom classes), box and whisker plots | |
Analysis of variance with various post-hoc tests (LSD, Bonferroni, Scheffé, Tukey, Duncan, Newman-Keuls, Dunnett) All models available:
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Student T-test: paired or independent, also against fixed scores | |
Non parametric tests: Friedman, Wilcoxon, Mann-Whitney… | |
Ranking, Round Robin | Friedman and Page tests, Round Robin (multiple pairs) |
CATA, Multiple-Choice question | Counts, Frequencies, bar and pie-charts, Chi-square tests Binomial test against a target value Factorial Correspondence Analysis (FCA) |
Discrimination tests | Discrimination tests: difference (α risk), similarity tests (ß risk) and sensory difference (d-prime) |
Open-ended questions | Can be interactively encoded and then analysed like multiple-choice questions |
Temporal methods | Time-Intensity, TDS and TCATA analyses |
Other advanced statistical methods | Multivariate analyses, including Principal Component Analysis (PCA), cluster analysis, preference mapping (internal and external), FCA, horizontal PCA with Multiple Factor Analysis (MFA) and STATIS Penalty analysis |
Options available | Data selection (repetition, judge, product, attribute) Filtering according to values included in the result file or according to judges' data stored in your database Anonymization of products or judges' names on your graphs and tables Export to other management tools |