Viewpoint: Improving range science through the appropriate use of statistics

Journal of Range Management

Volumn 55, Issue 6, 2002, Pages 526-529

  Gould, William R ^a   Steiner, Robert L ^a  

^a NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

Effect size; Estimation; P value; Repeated measures; Type I error

Indexed keywords

MANAGEMENT; RANGELAND; STATISTICAL ANALYSIS;

EID: 0036853490     PISSN: 0022409X     EISSN: None     Source Type: Journal    
DOI: 10.2307/4003994     Document Type: Short Survey

References (21)

1. Anderson, D.R., K.P. Burnham, and W.L. Thompson. 2000. Null hypothesis testing: Problems, prevalence and an alternative. J. Wildl. Manage. 64:912-923.
2. Anderson, D.R., K.P. Burnham, W.R. Gould, and S. Cherry. 2001a. Concerns about finding effects that are actually spurious. Wildl. Soc. Bull. 29:311-316.
3. Anderson, D.R., W.A. Link, D.H. Johnson, and K.P. Burnham. 2001b. Suggestions for presenting the results of data analyses. J. Wildl. Manage. 65:373-378.
4. Brennan, L.A. 2001. New methods for data analysis and presentation of results. J. Wildl. Manage. 65:172.
5. Brown, M.A. and S.S. Waller. 1986. The impact of experimental design on the application of grazing research results- an exposition. J. Range Manage. 39:197-200.
6. Cherry, S. 1998. Statistical tests in publications of the Wildlife Society. Wildl. Soc. Bull. 26:947-953.
7. Cox, D.R. 1977. The role of significance tests. Scand. J. Stat. 4:49-70
8. Ellison, A.M. 1996. An introduction to Bayesian inference for ecological research and environmental decision-making. Ecol. Appl. 6:1036-1046.
9. Engemen, R.M., D.E. Palmquist, and L.L. McDonald. 1986. The use of repeated measurement designs in field studies. pp. 59-66 In Statistical Analyses and Modeling of Grazing Systems Symposium Proceedings. February 11, 1986, Kissimmee, Fla. Soc. for Range Manage., Denver, Colo.
10. Gurevitch, J. and S.T. Chester, Jr. 1986. Analysis of repeated measures experiments. Ecol. 67:251-255.
11. Guthery, F.S., J.J. Lusk, and M.J. Peterson. 2001. The fall of the null hypothesis: Liabilities and opportunities. J. Wildl. Manage. 65: 379-384.
12. Harlow, L.L., S.A. Mulaik, and J.H. Steiger (eds.). 1997. What if there were no Significance Tests? Lawrence Erlbaum Assoc., Mahwah, N.J.
13. Heffner, R.A., M.J. Butler, and C.K. Reilly. 1996. Pseudoreplication revisited. Ecol. 77: 2558-2562.
14. Hurlbert, S.H. 1984. Pseudoreplication and the design of ecological field experiments. Ecol. Monogr. 54:187-211.
15. Huynh, H. and L.S. Feldt. 1970. Conditions under which mean square ratios in repeated measures designs have exact F-distributions. J. Amer. Stat. Assoc. 65:1582-1589.
16. Johnson, D.H. 1999. The insignificance of statistical significance testing. J. Wildl. Manage. 63:763-772.
17. Milliken, G.A. and D.E. Johnson. 1992. Analysis of Messy Data: Designed Experiments. Chapman and Hall, New York, N.Y.
18. Nester, M.R. 1996. An applied statistician's creed. Appl. Stat. 45:401-410.
19. Walker, J.W. and E.W. Richardson. 1986. Replication in grazing studies- why bother? pp. 51-58 In Statistical Analyses and Modeling of Grazing Systems Symposium Proceedings. February 11, 1986, Kissimmee, Fla. Soci. for Range Manage., Denver, Colo.
20. Wester, D.B. 1992. Viewpoint: Replication, randomization and statistics in range science. J. Range Manage. 45:285-290.
21. Yates, F. 1951. The influence of statistical methods for research workers on the development of the science of statistics. J. Amer. Stat. Assoc. 46:19-34.