Published Articles

Research Authors

Articles by the author:

Michael Meyners

Peer Reviewed Paper

An approach for clustering consumers by their top-box and top-choice responses

July 21, 2023
Peer Reviewed Paper

Clustering consumers based on product discrimination in check-all-that-apply (CATA) data

March 4, 2022
Poster

Analysis of sensory check-all-that-apply (CATA) data which includes the evaluation of a single ideal product

August 6, 2019
Peer Reviewed Paper

Did assessors select attributes by chance alone in your TDS study, and how relevant is it to know?

May 15, 2019
Peer Reviewed Paper

The analysis of temporal check-all-that-apply (TCATA) data

April 30, 2018
Poster

Do panelists “monkey-pick” attributes in TDS studies and how relevant is it to know?

August 20, 2017
Workshop

Escaping p-value land: The future of lean decision-making in sensory evaluation

August 20, 2017
Workshop

Evaluation of consumer perception dynamics 2.0

October 28, 2016
Workshop

Evaluation of consumer perception dynamics

September 11, 2016
Peer Reviewed Paper

Statistical evaluation of panel repeatability in Check-All-That-Apply questions

April 1, 2016
Peer Reviewed Paper

Randomization of CATA attributes: Should attribute lists be allocated to assessors or to samples?

March 1, 2016
Poster

Best practice recommendations for attribute order in Check-All-That-Apply (CATA) and related test methodologies

August 22, 2015
Book Chapter

Check-All-That-Apply questions

October 14, 2014
Peer Reviewed Paper

Existing and new approaches for the analysis of CATA data

December 16, 2013
Workshop

Existing and new approaches for analysing data from Check All That Apply questions

August 14, 2013