Applications of Advanced Experimental Methods to Visual Technology Research Simulator Studies: Supplemental Techniques.

Abstract

This report is made up of a series of individual papers on techniques to enhance the behavioral research methods being used in the VTRS, or Visual Technology Research Simulator (formerly referred to as AWAVS, or Aviation Wide-Angle Visual System). These methods are applicable to many other topical areas in addition to flight simulation. The techniques discussed, which relate to problems of design, analysis and interpretation, are important addenda to material discussed elsewhere by the author. The following techniques are discussed. What to do when the model for the experimental design inadequately represents the empirical data; Using Yates' algorithm with screening designs; Analyzing residuals; Identifying the experimental conditions in 2 (to the k minus p power) designs when given the defining generators; An economical design for screening interaction effects; Graphic method and internal comparison for multiple response data; The place for replication in economical multifactor research; The significance of tests of statistical significance; Determining the probability of accepting the null hypothesis when in fact it is false; Testing non-additivity in experimental data from a Latin square design; How to include factors with more than two levels in a screening design; Analyzing extra-period change-over designs; Analyzing serially-balanced sequence designs; and Design economy when experimental factors selectively affect bi-variate criteria.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADA095633

Entities

People

  • Charles W. Simon

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Behavioral Sciences
  • Combinatorial Analysis
  • Computational Science
  • Confidence Limits
  • Data Mining
  • Data Science
  • Databases
  • Factorial Design
  • Flight Training
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Military Research
  • Psychology
  • Regression Analysis
  • Students

Readers

  • Aviation Science / Aeronautics.
  • Computational Modeling and Simulation
  • Regression Analysis.