Design, Analysis, and Interpretation of Screening Studies for Human Factors Engineering Research. Revision.

Abstract

Methods are described for constructing Resolution IV screening designs that are robust to linear, quadratic, and cubic trend effects and will also keep the number of factor-level changes for some variables at a minimum. Complete designs, capable of screening up to 32 variables, are provided along with appropriate methods of analysis. Numerous criteria for selecting non- trivial variables are discussed, including: mean difference, eta squared, cumulative probability, and half-normal plots. How to handle subjects in an experiment is described when their characteristics can be included as experimental factors and when they cannot be, and when subjects are merely a form of replication. Lack-of-fit tests are provided to help decide whether a second- or a third-order response surface is needed. Numerous methods of analyzing screening studies with multiple responses are described. A method is given for developing a prediction equation with data collected from an incomplete screening design.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1978
Accession Number
ADA056985

Entities

People

  • Charles W. Simon

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Applied Psychology
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Experimental Design
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Psychology
  • Regression Analysis
  • Statistical Algorithms
  • Surveys
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.