Min and Max Scorings for Two Sample Partially Ordered Categorical Data

Details

• Personal Author:
  Sampson AR ; Singh H
• Description:
  For certain types of designed experiments the outcome variables are ordinal categorical variables. Such experiments are typical in many behavioral science and social science settings, as well as in certain types of clinical trials. The representation, analysis and summarization of the results of such experiments can be difficult and complex. We present one analytical approach to these settings that uses scalings for a simpler presentation of the results. The resulting scalings can be viewed as a technique for reducing the complexity of the multivariate ordinal response data and providing insightful data summaries. Utilizing some of the results for designed experiments with univariate ordinal responses, we introduce new techniques to handle responses taking values in a partially ordered set. These latter results are applied to scaling multivariate ordinal data. Several data sets are analyzed using this new approach. [Description provided by NIOSH]
• Subjects:
  Behavior Clinical Laboratory Techniques Occupational Health Safety
• Keywords:
  Analytical-methods Author Keywords: Partial Order Behavioral-testing Behavioral-tests Chi-square Clinical-techniques Clinical-tests Cochran-Armitage Statistic Max-correlation Ordinal Data Scoring Statistical-analysis Stochastic Ordering T-statistic

  More +
• ISSN:
  0378-3758
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania ; West Virginia
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  HELD - Health Effects Laboratory Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  219-236
• Volume:
  107
• Issue:
  1
• NIOSHTIC Number:
  nn:20022954
• Citation:
  J Stat Plann Inference 2002 Sep; 107(1-2):219-236
• Email:
  asampson@stat.pitt.edu
• Federal Fiscal Year:
  2002
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Statistical Planning and Inference
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:0ace75c83f59ff0e42889cf14856e844fbc8d3546b8abfbf32716c6ce928412a67b49a7923fa8f9c921864864dcc57e0fa1e669288172849ab94ae384a347015
• Download URL:
  https://stacks.cdc.gov/view/cdc/199558/cdc_199558_DS1.pdf
• File Type:
  [PDF - 157.98 KB ]