Skip to main content

A Methodology for Analyzing Relations Among Higher Order Concepts in Forest Recreation Models

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

This paper comments on the need for improved application of multivariate research methodology in the forest recreation sciences. Many theoretical concepts in these sciences must be represented empirically by sets of variables showing low collinearity. A methodology is proposed for analyzing relations among concepts of this type. The methodology allows one to test general hypotheses about relations among such concepts, but it also allows one to assess the unique contributions of each individual variable designating them. An application of the methodology demonstrates the character of relations among prior experience, trip style, and on-site perceptions for a population of recreational river floaters. Forest Sci. 31:1018-1034.

Keywords: Multivariate analysis; causal analysis; environmental perception; recreation; rivers

Document Type: Journal Article

Affiliations: Professor of Geography, Kent State University, Kent, OH 44242

Publication date: 1985-12-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more