Consumer Analyses
Difference from Ideal
Purpose Analyses data from consumer descriptive profiling where there is a reference sample against which the other samples are evaluated. Data Format Perfumes.xlsx Every second attribute column is the reference for the previous one. Therefore there ...
Text Highlighter Analysis
Purpose This analysis method allows the user to analyse data collected using the text highlighter question type. The text highlighter analysis is a tool that visually represents the most frequently selected sentences in a text based on applied ...
CATA Word Cloud
Purpose A word cloud (or tag cloud) is a visual display of text data that represents each word (or phrase) in a font size that is proportional to the importance of each word. The relative importance of the words can then be easily appreciated simply ...
Penalty Analysis
Purpose To provide a penalty analysis of a consumer data set, that is to investigate how liking or acceptability of product decreases when product attributes are not at the optimal intensity. Data Format Consumer.xlsx Note: for EyeOpenR to read your ...
Best Worst Scaling
Purpose To provide analysis of data from a Best Worst Scaling (aka Max-Diff) study. Best Worst Scaling (BWS) presents a subset of items from a longer list to a consumer, who must then select the best and worst item amongst the subset. The process can ...
Hierarchical Clustering
Purpose Cluster analysis (of which hierarchical clustering is a specific type) is used to assign consumers to different groups (clusters) based on their patterns of product liking. This is important when there are strong and different preferences ...
K-means
Purpose Cluster analysis (of which K-means clustering is a specific type) is used to assign consumers to different groups (clusters) based on their patterns of product liking. This is important when there are strong and different preferences across ...