The role of hypothesis testing in wildlife science

Journal of Wildlife Management

Volumn 66, Issue 2, 2002, Pages 272-276

  Johnson, Douglas H ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

Effect size; Hypothesis test; Null hypothesis; Replication; Significance test

Indexed keywords

HYPOTHESIS TESTING; STATISTICAL APPLICATION;

EID: 0036527210     PISSN: 0022541X     EISSN: None     Source Type: Journal    
DOI: 10.2307/3803159     Document Type: Article

References (29)

1. Null hypothesis testing: Problems, prevalence, and an alternative
2. Suggestions for presenting the results of data analyses
3. Derivation of theory by means of factor analysis, or Tom Swift and his electric factor analysis machine
4. The need for replication in educational research
5. Testing precise hypotheses
6. Evolutionary operation: A method for increasing industrial productivity
7. Evolutionary operation (EVOP)
8. The case against statistical significance testing
9. Statistical tests in publications of The Wildlife Society
10. The earth is round (p < .05)
11. A primer on the understanding, use and calculation of confidence intervals that are based on central and noncentral distributions
12. The distribution of certain regression statistics
13. The fall of the null hypothesis: Liabilities and opportunities
14. The impact of model selection on inference in linear regression
15. The use and misuse of statistics in wildlife habitat studies
16. Statistical sirens: The allure of nonparametrics
17. The insignificance of statistical significance testing
18. The use of an F-statistic in stepwise regression procedures
19. Questionable multivariate statistical inference in wildlife and community studies
20. Reflections on statistical and substantive significance, with a slice of replication
21. On the past and future of null hypothesis significance testing
22. Wildlife science: Gaining reliable knowledge
23. Hypotheses, errors, and statistical assumptions
24. Stepwise regression and stepwise discriminant analysis need not apply here: A guidelines editorial
25. AERA editorial policies regarding statistical significance testing: Three suggested reforms
26. Analyzing data: Sanctification or detective work?