Statistical Ritual Versus Knowledge Accrual in Wildlife Science

被引:26
作者
Guthery, Fred S. [1 ]
机构
[1] Oklahoma State Univ, Dept Nat Resource Ecol & Management, Stillwater, OK 74078 USA
关键词
Akaike-best model; cargo cult science; model selection; pseudodifference; quantitative ritual; significance testing;
D O I
10.2193/2008-179
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
I hypothesized that statistical ritual has supplanted knowledge accrual as the sine qua non of wildlife science. Under the hypothesis, I deduced occurrence of 1) significance testing of the obvious and inconsequential, 2) quantitative debasement of research problems, and 3) publication of papers that largely lacked information but were methodologically impeccable. Articles in past and recent wildlife literature fit the deductions and supported the hypothesis. Thus, wildlife science is operating inefficiently because quantitative formalities are supplanting ecological information in technical articles. This problem can be corrected by a change of mindset in authors, referees, and editors. The change entails less emphasis on quantitative ritual and more emphasis on information that aids in understanding and explaining nature and managing wildlife. (JOURNAL OF WILDLIFE MANAGEMENT 72(8): 1872-1875; 2008)
引用
收藏
页码:1872 / 1875
页数:4
相关论文
共 35 条
[1]  
Afifi A.A., 1984, COMPUTER AIDED MULTI
[2]   Avoiding pitfalls when using information-theoretic methods [J].
Anderson, DR ;
Burnham, KP .
JOURNAL OF WILDLIFE MANAGEMENT, 2002, 66 (03) :912-918
[3]   Null hypothesis testing: Problems, prevalence, and an alternative [J].
Anderson, DR ;
Burnham, KP ;
Thompson, WL .
JOURNAL OF WILDLIFE MANAGEMENT, 2000, 64 (04) :912-923
[4]  
[Anonymous], 1970, The Significance Test Controversy
[5]  
Brothers L., 1997, Friday's Footprint: How Society Shapes the Human Mind
[6]  
Burnham K. P., 1998, Model Selection and Inference, DOI DOI 10.1007/978-1-4757-2917-7_3
[7]  
Cornaglia PS, 2005, RANGELAND ECOL MANAG, V58, P35, DOI 10.2111/1551-5028(2005)58&lt
[8]  
35:EODAAB&gt
[9]  
2.0.CO
[10]  
2