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Topic: Paired comparison analysis


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In the News (Sat 19 Dec 09)

  
  Paired Data
Observations are paired rather than independent when there is a natural link between an observation in one set of measurements and a particular observation in the other set of measurements, irrespective of their actual values.
However, we might interview mother/daughter pairs (paired samples), in the hope of removing some of the lifestyle and socioeconomic differences from the age group comparison.
Paired analyses are required when the outcome variable is measured on the same or matched units.
www.tufts.edu /~gdallal/paired.htm   (1666 words)

  
 Spartanburg SC | GoUpstate.com | Spartanburg Herald-Journal
In paired comparison analysis, also known as paired choice analysis, a range of options are compared and the results are tallied to find an overall winner.
It may include criteria to guide the comparisons or be based on intuition following an open discussion of the group.
A paired choice matrix or paired comparison matrix can be constructed to help with this type of analysis.
www.goupstate.com /apps/pbcs.dll/section?category=NEWS&template=wiki&text=Paired_Comparison_Analysis   (123 words)

  
 A Rasch Paired Comparison of Total Physician Work
Rasch paired comparison combines methods developed from educational research and statistical regression to, first, reorder families of codes, then convert the new cardinal scoring system to total work RVUs [Relative Value Units].
Paired comparison is a sub-analysis under the broader rubric of Rasch analysis.
Development of the paired comparison worksheets can be completed during the first week of this task, regardless of data collection mode.
www.rasch.org /florin.htm   (4778 words)

  
 Conjoint Analysis. How many attributes should be used in a paired comparison task?
Conjoint analysis is one of the mostly used methods in the analysis of preferences and the prediction of choices.
Paired comparisons on a graded scale are a substantive element of the adaptive conjoint analysis (ACA), a computer supported procedure that is predominantly used in marketing research.
Our results show that paired comparisons with two attributes lead to more accurate estimations than with three or four attributes.
www.3mfuture.com /reiners/articles/how_many_attributes_should_be_used_in_a_paired_comparison_task.htm   (272 words)

  
 Understanding Statistics: Resources and Information
Statistics refers to the branch of mathematics that deals with the collection, analysis, interpretation and presentation of masses of numerical data.
In contrast, mathematical statistics (or simply statistical theory) is the subdiscipline of applied mathematics which uses probability theory and analysis to place statistical practice on a firm theoretical basis.
Gnanadesikan, R., Methods for statistical data analysis of multivariate observations.
concepts.essential-facts.com /Statistics.html   (2229 words)

  
 Decision_making
Grid Analysis - analysis done by compairing the weighted averages of ranked criteria to options.
Pareto Analysis - selection of a limited of number of tasks that produce significant overall effect
Emerson, P J. Beyond the Tyranny of the Majority, a comparison of the more common voting procedures used in both decision-making and elections.
www.brainyencyclopedia.com /encyclopedia/d/de/decision_making.html   (2211 words)

  
 ISO 5495:2005 - Sensory analysis -- Methodology -- Paired comparison test
In fact, the paired comparison test is a forced choice test between two alternatives.
The method is applicable whether a difference exists in a single sensory attribute or in several, which means that it enables determination of whether there exists a perceptible difference concerning a given attribute, and the specification of the direction of difference, but it does not give any indication of the extent of that difference.
The method is effective (1) for determining whether a perceptible difference exists (paired difference test), or whether no perceptible difference exists (paired similarity test) when, for example, modifications are made to ingredients, processing, packaging, handling or storage operations, or (2) for selecting, training and monitoring assessors.
www.iso.org /iso/CatalogueDetailPage.CatalogueDetail?CSNUMBER=31621   (274 words)

  
 Comparative Analysis of Bradley-Terry and Thurstone-Mosteller Paired Comparison Models for Image Quality Assessment ...
Abstract: In image quality assessment, preference for various image processing algorithms or treatments is often determined using paired comparisons.
In this experimental design, pairs of images processed by different algorithms or "treatments" are presented to a judge.
The preferred treatment is selected and a tally is kept of the number of times each treatment is preferred to another.
citeseer.ist.psu.edu /693107.html   (377 words)

  
 Research
All sports performance is relative, analysis must accommodate this reality.
Annis, D. Dimension Reduction for Hybrid Paired Comparison Models.
Annis, D. and Craig, B. Hybrid Paired Comparison Analysis, with Applications to the Ranking of College Football Teams.
www.sportsquant.com /research.htm   (887 words)

  
 About Us
He is also Vice President, Director of Quantitative Analysis of Wachovia's Internal Audit division.
Previously, he was an Assistant Professor in the Operations Research Department at the Naval Postgraduate School.
Annis was also recognized for his outstanding teaching by the Operations Research Department at the Naval Postgraduate School in 2005.
www.sportsquant.com /bio.htm   (315 words)

  
 Mind Tools - Self-Study Management Training, Career Training, Leadership Training and Career Coaching.
Scenario Analysis helps you think rigorously about the different futures you or your business may face.
Impact Analysis - Identifying the "unexpected" consequences of a decision.
Monte Carlo Analysis - Bringing uncertainty and risk into forecasting.
www.mindtools.com   (3080 words)

  
 Gerhard Tutz
TUTZ, G., (1990): Log-linear parameterization in discrete discriminant analysis.
TUTZ, G., (1988): Sufficiency of variables in discrete discriminant analysis.
TUTZ, G., (1986): An alternative choice of smoothing for kernel-based density estimates in discrete discriminant analysis.
www.stat.uni-muenchen.de /~tutz   (1478 words)

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