A simulation tool for evaluating sensory data analysis methods Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/td96k594n

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • In cross-cultural studies, respondents from specific cultures may have different product preferences and scale usage. Combining data from different cultures will result in departures from the basic assumptions of analysis of variance (ANOVA) and loss of power in testing capability of finding product and culture differences. However, the result of violations on power of ANOVA is unknown by sensory researchers. The objectives of this research were by simulating consumer product evaluation data, to evaluate the robustness and testing power of ANOVA under different cross-cultural situations. The study was conducted in two parts. First, an Empirical Logit simulation model was employed for generating sensory data. This model included respondent, product, consumer segment and product by segment interaction effects. Four underlying distributions: Binomial, Beta-Binomial, Hypergeometric, and Beta-Hypergeometric were used to increase or decrease the dispersion of the responses. Alternatively, instead of using these four distributions, the same applications were achieved by a binning step. The entire simulation procedure including the Empirical Logit model and the binning step was called Discrete Empirical Logit model. In the second part of the study, the Discrete Empirical Logit model was chosen to generate specified data sets under six different cross-cultural cases. After analyzing these data sets by ANOVA reduced and full models, the empirical power of ANOVA under different cases was calculated and compared. The results showed that both Beta-Hypergeometric and Discrete Empirical Logit were flexible on simulating sensory responses, but the Discrete Empirical Logit was relatively simple to use. Comparing with the ANOVA reduced model, the full model gave better information on evaluating the case that segments differ in product preferences. This suggested segmentation was very important in cross-cultural data analysis. Under the situations that sample sizes were equal and respondents performed consistently within segment (MSE ≈ 1), ANOVA was very robust to different scale usage, losing at worst 18% in power. From the scope of this study, we recommend using the ANOVA full model in the cross-cultural research. Results from different cultures could be combined when consistency within segments was high.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Committee Member
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome, 256 Grayscale) using Scamax Scan+ V.1.0.32.10766 on a Scanmax 412CD by InoTec in PDF format. LuraDocument PDF Compressor V.5.8.71.50 used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-01-06T23:07:38Z (GMT) No. of bitstreams: 1 NAINISHUO2003.pdf: 1389799 bytes, checksum: 43fdc27f103dba9bea311de8cef4f948 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-01-26T17:17:42Z (GMT) No. of bitstreams: 1 NAINISHUO2003.pdf: 1389799 bytes, checksum: 43fdc27f103dba9bea311de8cef4f948 (MD5)
  • description.provenance : Submitted by Erin Clark (ecscannerosu@gmail.com) on 2012-01-06T21:55:32Z No. of bitstreams: 1 NAINISHUO2003.pdf: 1389799 bytes, checksum: 43fdc27f103dba9bea311de8cef4f948 (MD5)
  • description.provenance : Made available in DSpace on 2012-01-26T17:17:42Z (GMT). No. of bitstreams: 1 NAINISHUO2003.pdf: 1389799 bytes, checksum: 43fdc27f103dba9bea311de8cef4f948 (MD5) Previous issue date: 2003-05-09

Relationships

In Administrative Set:
Last modified: 08/20/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items