We examined a stratified random sample of articles published over 3 decades of the Journal of Range Management to study the applications and changes in statistical methodology employed by range scientists. Our objectives were to characterize the philosophical nature of statistics use in range science and to identify strengths and weaknesses inherent in these approaches. In each article, we examined the research design efficacy and whether the statistical analysis was adeptly used to convey the relevant information. The majority of articles we examined were conducted appropriately. In general, we found more emphasis has been placed on statistical testing than effect size estimation in the last decade. On an average, 82 tests or means comparisons (s.e. = 20) were presented in each article during the 1990's. Articles that reported an effect size via a sample mean frequently did not report an associated standard error. Research designs lacked adequate descriptions in several cases, making it difficult to determine if the appropriate analysis was performed. Improper identification of the experimental or sampling unit and/or the interdependence of observations occurred in all decades. We recommend increased inferential use of confidence intervals and suggest that the practical significance (as opposed to statistical significance) of results be considered more often. Improvements in the 'science' of range science can be made by greater understanding and communication of statistical concepts through consultation with statisticians. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020
Scholarly peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol. 1, 1948 up to 5 years from the current year. Formerly Journal of Range Management (JRM). More recent content is available by subscription from SRM.