Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-27T18:45:41.658Z Has data issue: false hasContentIssue false
  • English
  • Français

An Empirical Overview of the NAREA Membership Survey

Published online by Cambridge University Press:  10 May 2017

Bruce E. Lindsay
Bruce E. Lindsay*
Affiliation:
Department of Resource Economics and Community Development, University of New Hampshire
Get access

Extract

During the period of transition that culminated in our professional organization being renamed the Northeastern Agricultural and Resource Economics Association (formerly the Northeastern Agricultural Economics Council), discussion centered upon such issues as the composition of the executive committee, the election procedures for officers, financial stability, and membership involvement. As a result of such discussions, a questionnaire was designed to ascertain Association members’ attitudes towards the organization in three areas of interest: members’ professional background, members’ evaluation of the annual meeting, and attitudes towards our Journal. The objective of this survey was to establish attitudinal data for background information for future discussions concerning our Association.

Type
Articles
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 15 , Issue 2 , October 1986 , pp. 117 - 122
Copyright
Copyright © 1986 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Scientific Contribution No. 1459 of the New Hampshire Agricultural Experiment Station.

References

1 A chi-square test was not used because there was not at least five observations in each theoretical frequency class. This avoided inflated chi-square values due to the division of the squared differences by a small size of expected frequency.Google Scholar

2 The correlations between the independent variables were low in value (below .20) so as not to suggest multicollinearity. This was also true for models two and three in a latter portion of this paper.Google Scholar