Affordable Access

Evaluating indices of traditional ecological knowledge: a methodological contribution

Authors
Publisher
BioMed Central
Publication Date
Source
PMC
Keywords
  • Research
Disciplines
  • Biology
  • Ecology
  • Medicine

Abstract

1746-4269-2-21.fm ral Journal of Ethnobiology and ss BioMed CentEthnomedicine Open AcceResearch Evaluating indices of traditional ecological knowledge: a methodological contribution Victoria Reyes-García*1, Vincent Vadez2, Susan Tanner3, Thomas McDade3, Tomás Huanca2 and William R Leonard3 Address: 1ICREA and ICTA, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain and Sustainable International Development Program, Brandeis University, Waltham, MA 02454, USA, 2Sustainable International Development Program, Heller School for Social Policy and Management, Brandeis University, Waltham, MA 02454, USA and 3Department of Anthropology, Northwestern University, Evanston, IL 60208, USA Email: Victoria Reyes-García* - [email protected]; Vincent Vadez - [email protected]; Susan Tanner - [email protected]; Thomas McDade - [email protected]; Tomás Huanca - [email protected]; William R Leonard - [email protected] * Corresponding author Abstract Background: New quantitative methods to collect and analyze data have produced novel findings in ethnobiology. A common application of quantitative methods in ethnobiology is to assess the traditional ecological knowledge of individuals. Few studies have addressed reliability of indices of traditional ecological knowledge constructed with different quantitative methods. Methods: We assessed the associations among eight indices of traditional ecological knowledge from data collected from 650 native Amazonians. We computed Spearman correlations, Chronbach's alpha, and principal components factor analysis for the eight indices. Results: We found that indices derived from different raw data were weakly correlated (rho<0.5), whereas indices derived from the same raw data were highly correlated (rho>0.5; p < 0.001). We also found a relatively high internal consistency across data from the eight indices (Chronbach's alpha = 0.78). Last, results from a principal components factor analysis of

There are no comments yet on this publication. Be the first to share your thoughts.