1985
DOI: 10.2307/1940409
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Use of an Improved Statistical Method for Group Comparisons to Study Effects of Prairie Fire

Abstract: This paper describes an improved method for performing statistical comparisons among experimental groups. This technique, termed multi-response permutation procedures (MRPP), is similar in purpose to the t test and one-way analysis of variance F test. However, in contrast to these, the new method features very relaxed requirements on the data structure, is easily applied to multivariate problems, and makes it possible to relate the analysis visually to the perceived data space. The MRPP test statistic is based… Show more

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Cited by 442 publications
(258 citation statements)
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(11 reference statements)
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“…Then we tested the significance of between-group differences at each group with a multi-response permutation procedure (MRPP), which is a nonparametric method for testing multivariate differences among pre-defined groups (Zimmerman et al 1985). The Sorenson coefficient on log(x + 1) abundance data was used as the distance measure in MRPP.…”
Section: Discussionmentioning
confidence: 99%
“…Then we tested the significance of between-group differences at each group with a multi-response permutation procedure (MRPP), which is a nonparametric method for testing multivariate differences among pre-defined groups (Zimmerman et al 1985). The Sorenson coefficient on log(x + 1) abundance data was used as the distance measure in MRPP.…”
Section: Discussionmentioning
confidence: 99%
“…We tested the effects of logging on species composition in stands with different logging histories by using Multiple Response Permutation Procedures (MRPP), a multivariate, nonparametric method for testing differences among predefined groups (27,28). MRPP offer a way to test for differences among predetermined groups (e.g., logging categories) when the outcome is multivariate (here, species abundances) and where the data may not conform to parametric assumptions, such as normality and homogeneity of variances (27).…”
Section: Methodsmentioning
confidence: 99%
“…Thus, the MRPP test statistic, 6, is a linear combination of average within-group distance measures for the n groups. The test does not assume normal distribution or equal variances (Zimmerman et al 1985). MRPPs were also used to compare the distributions of coyote locations between seasons within a period (i.e., the seasons within period 1 were analyzed separately from those within period 2), to compare short-term as well as long-term changes in spaceuse patterns.…”
Section: Methodsmentioning
confidence: 99%