THE USE OF MULTIPLE REGRESSION AND CORRELATION IN TEST ROAD DATA

INQUIRIES PERTAINING TO AN EXPERIMENTAL ROAD TEST ARE DISCUSSED: (1) WHAT GOVERNS THE SELECTION OF DEPENDENT AND INDEPENDENT VARIABLES? (2) HOW MAY MATHEMATICAL MODELS BE CONCEIVED FOR EXPRESSING THE CONCLUSIONS? (3) WHAT LEVELS OF THE INDEPENDENT VARIABLES NEED TO BE INVESTIGATED? (4) WHAT TECHNIQUES MAY BE USED FOR ESTIMATING CONSTANTS IN THE MATHEMATICAL MODELS? (5) HOW PRECISE ARE THE ESTIMATED CONSTANTS DETERMINED BY THE EXPERIMENT? (6) HOW VALID IS THE MATHEMATICAL MODEL: (7) HOW FAR, IN SPACE AND TIME, MAY THE EXPERIMENTAL RESULTS BE GENERALIZED? EXPERIMENTAL FINDINGS CAN BE CHARACTERIZED BY MATHEMATICAL MODELS. NO EXTEMPORANEOUS MODEL SHOULD BE CONSIDERED AS REPRESENTING ANY MORE THAN POSSIBLE POINTS OF DEPARTURE FOR FURTHER EFFORTS TO INTERRELATE THE MANY RESULTS FROM A ROAD TEST. THE EXPERIMENTAL OBJECTIVES, THE EXPERIMENTAL DESIGN AND THE DATA ANALYSIS ARE SO CLOSELY CONNECTED THAT NONE OF THESE THREE ASPECTS CAN BE ADEQUATELY DESCRIBED WITHOUT REFERENCE TO THE OTHER TWO. A POSSIBLE ANALYTICAL APPROACH IS OUTLINED, ASSUMING THAT THE OVER-ALL EXPERIMENTAL OBJECTIVES ARE TO PRODUCE CERTAIN RELATIONSHIPS BETWEEN OBSERVED BEHAVIOR VARIABLES AND THOSE VARIABLES WHICH ARE EITHER SET BY THE EXPERIMENTAL DESIGN OR WHICH ARISE THROUGH THE FORCES OF NATURE DURING THE EXPERIMENT. AN EFFORT IS MADE TO GIVE A DETAILED DISCUSSION OF THE CONCEPTS AND ROLES OF RANDOMIZATION AND REPLICATION. DATA FROM THE WASHO ROAD TEST ARE USED TO DEMONSTRATE ANALYTICAL TECHNIQUES. /AUTHOR/

  • Supplemental Notes:
    • Vol 35, pp 268-298, 6 FIG, 8 TAB, 3 REF
  • Authors:
    • Irick, P E
    • Leathers, R C
    • Lill, R A
    • MERTZ, W L
  • Publication Date: 1956

Media Info

  • Monograph Title: Proceedings of the Thirty-Fifth Annual Meeting of the Highway Research Board, Washington, D.C., January 17-20, 1956
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00207342
  • Record Type: Publication
  • Files: TRIS, TRB
  • Created Date: Aug 8 1971 12:00AM