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UCREFRP
UCREFRP Catalog Number
9429
Author
Johnson, D. H.
Title
The Insignificance of Statistical Significance Testing
USFW Year
no dat
USFW - Doc Type
Journal of Wildlife Management
Copyright Material
YES
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dl. Vlunutir. 6:i(3):1999 1 J, ~Vildl. Mctna~~e. 63(31:1999 STS\TISTICAL SIGNIFICANCE TESriNG • Jrllutsvn 767 <br />o results of a statistical sig- <br />;tati~Yicwi si~nitiwn~r <br />tific:mt Si~nificmt <br />~' Annoyed <br />:;td Elated <br />ferent from the ob- <br />' analysis programs, <br />values for effect and <br />r than estimated, so <br />z estimates of power <br />(et al. 1998). In ad- <br />a~pothesis testing in- <br />re 1 rather arbitrary <br />analysis requires 3 of <br />or Further comments <br />~ termed power anal- <br />~ame," and who not- <br />criteria, such as Co- <br />small, medium, and <br />tcIless as the practice <br />•rion in st• ~stical siQ- <br />sabout the lik • •' <br />otter addressed with ~ <br />t ~+ith retrospective <br />1 rt al. 199^. Steiger <br />:ical Signifiicance <br />tr. nl the distinction <br />uce anti s~~ject-nutt- <br />i ,i-,ttiiicance. Lnim- <br />cts that du not att;tin <br />utpurtant dil~frrencrs <br />nt arF• esc•ellrnt, tilr <br />iTahler II. Unintpor- <br />mt significant are all- <br />•c•rr.ncrs that tail sta- <br />drpressim,. RccalliuV_ <br />t the ellect uC sample <br />•umes that please the <br />ntplct sire was ahoirt <br />iu~~ tutintlturtant dif- <br />size as related to results of <br />• n tnu hi~~ <br />snucll n okay <br />ferences that were significant indicate that too <br />large a sample was obtained. Further, if an im- <br />portant difference was not significant, the in- <br />vestigator concludes that the sample was insuf- <br />ficient and calls For further research. This <br />schizophrenic nature of the interpretation of <br />s ~Prtificance greatly reduces its value. <br />Other Comments on Hypothesis Tests <br />Statistical hypothesis testing has received an <br />enormous amount of criticism, and for a rather <br />long time. In 1963, Clark (1963:466) noted that <br />it vas "no longer a sound or fnutful basis for <br />statistical investigation." Bakan (1966:436) <br />called it "essential mindlessness in the conduct <br />of research." The famed q>}alit}~ guru ~V. Ed- <br />wards Deming (19 7 ~) commented that the rea- <br />son students have problems understanding hy- <br />pothesis tests is that they may be tning to think. <br />Carver (1978) recommended that statistical sig- <br />nificance testing should be eliminated; it is not <br />only useless, it is also hannfitl because it is in- <br />terpre±ed to mean something else. Guttman <br />11y85) reco;rtized that "In practice. of course, <br />tests of si;=rtific;tnce are not taken seriously." <br />Loftus 11991) found it difficult to imagine a less <br />it151ghtflll way to transiate data into conclusions. <br />Cohen (19y~:99~) noted that statistical testinv <br />of the null hypothesis ~~cloes not tell ns +ehat u-e <br />+yant to kl]o+v, anti eye so tmtch ++~ant to lcno+v <br />~++Itat •.+'e w°ant to know that. out of desperation, <br />"•ve nevertheless helie~:c- that it dors:~~ Barnard <br />l~t~iti:+~i ar•nted that ~ ... si.ntplr. P-yahtes are <br />nut nc~++' usrcl by the best st;ttisttcauts.~~ These <br />rrzantttic-s are Intt a fraction ol~ the' annutents <br />utacl~• h+ statisticians anti users of statistics <br />about the. rule oC statistical h+potlirsis testing. <br />\l'ltilr nruty of the urc~tntrnts a~aiust sigttiR- <br />caucr tr-stn strut Cruttt their ntisn~r, rather than <br />their iuh•insic values ! v(ul:tik et ;tl. l5)y-). I be- <br />li~-~.~~ that 1 0l• tltrir inhinsic prohlrnts is that <br />thr•v du rnconra~~N misnsc•. <br />WHY ARE HYPOTHESIS TESTS USED? <br />\\~ith all the deficiencies ul• stattshcal h\pltth- <br />c•sis tests, it is rra_umable to +vonder wily Chey <br />rc-main so widely used. Nester (l9yfi) su~~gested <br />several reasons: (1) they appear to he objective <br />and enact: (?) then are readily available. Told eas- <br />ih invoked in many comutercial statistics pack- <br />a<~es: t3) everyone else seems to use them; (~l) <br />students, statisticians, and scientists are taught <br />to use them; anti (5j some jountal editors altd <br />thesis supervisors demand theist. Caner (19i3) <br />recognized that statistical significance is gener- <br />ally interpreted as having some relation to rep- <br />lication, which is the cornerstone of science. <br />More cynically, -Carver (1978) suggested that <br />complicated mathematical procedures lend an <br />air of scientific objectivity to conclusions. Shav- <br />er (1993) noted that social scientists equate be- <br />ing quantitative with being scientific. D. V. <br />Lindley (quoted in blatthe~•s 199 ~) observed <br />that "People like conventional hypothesis tests <br />because it's so easy to get significant results <br />from them." <br />I attribute the heavy use of statistical hypoth- <br />esis testing, not just in the wildlife field but in <br />other "soft" sciences such as psychology, soci- <br />oloa, and education, to "physics envy." Physi- <br />cists and other researchers in the °hard" sci- <br />ences are widely respected for their ability to <br />learn things about the real world (and universe) <br />that a>:t~ solid and incontrovertible, and also <br />Meld results that translate into products that we <br />see dai1.-. Ps~-chologists. for 1 Troup. have diffi- <br />culh• developing tests that are able to distin- <br />guish ?competing theories. <br />In the hard sciences, hypotheses are tested: <br />that process is an integral component of the hy- <br />pothetico~leductive scientific method. under <br />that method. a theon- is postulated. which gen- <br />erates se~~eral predictions. These per dictions are <br />treated ;ts scientiic hypotheses. and :ut e~Peri- <br />ment is conducted to tn~ to fai ifv each h~poth- <br />esis. If the results ul~ the espe.^anent refute the <br />h+Potitesis. that outcsnne implies that the theon- <br />is incorrect and should !te nu;ditied ~.>r scrapped. <br />[f the results do nut rPEitte the 6+padtesis, the <br />theun stands anti tna+• c,;tin support. dependin~* <br />on how critical dte exprrnneut wits. <br />In contrast. the hypotheses usually tested h+~ <br />++ildlile ecolo~,ists do nut devolve from general <br />theories about ho+v the real world operates. <br />i`(ure hT~ir;tll+• they are statistical hypotheses <br />(i.r., statrntr.nts ubont pn>perties of popula- <br />tions: Sitnhrrlul(• ly~)111. Uuiike scientific h+~- <br />putheses. the tntth of which is tntly in question. <br />must statistical hypotheses are kno+vtt a priori to <br />Lie false. The confusion of the ? hpes of hy- <br />potheses has been attributed to the pen•asive <br />iulluence crC R. A. Fisher, who did not distin- <br />~~ttish them (Schmidt and Flouter 199 ~ ). <br />Scientific hypothesis testing dates back at <br />le;tst to the 1 ~ th ceuhtrv: in 16?Q Francis Ba- <br />con discttssrd the role of proposing alternative <br />explanations and conducting explicit tests to dis- <br />tinguish betyveen them as the most direct route <br />
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