|
i!2 STAT[sTICAL S[CVIF[CAXCE TESTIXG • Johnson
<br />199S. Limits of retrospecfi.•e po.yer analysis.
<br />Journal of \Vildlife 'vanagement 63:501307.
<br />GOOD, I. J. 1953. Sto-utdardued tail-:trey probabilities.
<br />Journal of Statistical Contptttation and Simulation
<br />16:65-66.
<br />G1i11'\lA~, L. 1985. The illogic of statistical inference
<br />for cutnulative science. Applied Stochastic viod-
<br />els and Data Analysis 1:3-10.
<br />HEDGES, L. \%.- :\ND I. OLitI`. 198.5. Statistical meth-
<br />ods for meta-analysis. academic Press. Ve~v York,
<br />New York, USA.
<br />HOLLI\C, C. S., editor. 1975. adaptive environmental
<br />assessment and management. John Wiley & Sons,
<br />Chichester. United Kingdom.
<br />Hotyso~. C., AXD P. URBACH. 1991. Bayesian reason-
<br />. ing in science. '.Nature 350:37137.
<br />HUBERTI', C. J. 1993. Historical origins of statistical
<br />testing practices: the treatment of Fisher versus
<br />Neytnan-Pearson dews in teetbooks. Journal of
<br />E~peritnent:il Education 61:317 33.1.
<br />JoHxsox. ll. H. 1995. Statistical sirens: the allure of
<br />nonpartmetrics. Ecology 76:199ri--3000.
<br />LoFTI;s, G. R. 1991. On the h•rantn• of h~podtesis
<br />testing in the social sciences. Coritemporarv Ps_v-
<br />cholom• 36:103-105. •
<br />`L\TTHEa:S. R. 1997. Faith. hope and statistics. yew
<br />Scientist 156:3639.
<br />~1CLEAx, J. E.. AXD 1. \'[. EHXEST. 199S. The role of
<br />statistical si~ni6canc•e trstin~ in rdueation:tl re-
<br />search. Research in the Schools $:13-33.
<br />~IE.atL. P. E. 1997. The problem is rpistemolom'. not
<br />statistics: rrpl:tcr significaitre tests h~ confidence
<br />inten'als and r{uantil~- accuracy cif risi.~' mnnerictl
<br />prrdicfious. 1'a~~rs :19:3--135 in L. L. ltarlosy. S. A.
<br />\Ltlaii.. ;uxl 1. IL Steiger, rdih:rs. \\'hat ii• there
<br />tr~r•rr no si~nintance tests' La',yrr91CL' Erlbaum
<br />issnciatrs. \Iahtcall. \r. •.y Irrse~. l~s.\.
<br />\Irt.uF:. S. .\.. \. ti. I{ lt..txD li. .-\. ILtltstut.\~.
<br />I:JS1-. Tlirn• is :, tiun• ;uul a Itiacr t~>r si~nific:utce
<br />h•sting. I';r~rs fi.i-I i:i i,t L. L.. Ilariu~~- ti.:\. \lu-
<br />Ltil.. ;utei j. I1. Sh i~rr. rdihn•s. \\!tat it tltr.t'e there
<br />nr, si~milic:ua•r tests:' L;nt~rence liai,:uun Associ-
<br />:ttt•., \Ltliwah. \,•tc Ir•!'set, C 5 \.
<br />\1•:SI'Ii R. \I. 1{. lJ`.)G. :\n applircl statistic•i:u,~s creed.
<br />\pplird Statistics ~:i:hOl--tlt).
<br />Vt \\tI.IS. 1- (.- I!-)(i(1. Tl,r~ place nl statistic's in psy-
<br />ch,d„_~. I(clnc:rtinnal :uul I'stc•hul,>•,ic';tI \Ir;tsnrr-
<br />I'lil'1'ac tl t~. li- \I. IS1S)t 1. Statistical pntt'rr .uctlysis c:ut
<br />inipr„~r !isLrri,~s rr.rarcll and tuan:e,,•ntt-nt. Ca-
<br />nat!i:ni l,ninr,tl nl~ (:isht•rirs :uul :\,Inatic Scieuc•rs
<br />I''I..tl"t, ). li- IS1tiJ. Shnn~ inferenct•. Scir•ncr l-((i::i-L~-
<br />i.~-
<br />I'r~l't't:l:. F. Ii..IS1:~S1. Thr lo;ic sit sc•ir~ntilic discoyrn~.
<br />1{asic• Bnuls. \r•ta York. \rtt lurk. ~ S;\.
<br />I'li.\rl", ~. \\~.. II. R.trnr•.t. txn R. Scnl.-trnrat. L99S.
<br />Intruductiou h, st;ttistic•al decision thrun'. ~IIT
<br />Press. (:;unhridge. ~lassachttsrtts. l'S:\.
<br />Pttlu•:c«. I).:\. l~)UU. I{.:\. Fisher :u,tl rsperimental
<br />dt•si~n: a rrticty. Biolnrtric> ~f:y?.~-9:iS.
<br />(1(t~~. ). F~.. tilt :\. E. l](-~tta~t. 19ti3. (ht htpoth-
<br />rsis trstitlg in erolo_n ;utd rtnlntiun. Antrtican
<br />\atnralist 1'''':f,(1?-fil
<br />lielcn vtl] r. C. S..t~u 1(. F. Y:ut.I.UR. 1997. \\'hen
<br />J. Wildl. Manage. 63(3):lS]<)9
<br />confidence intervals should be used inste:ul of
<br />statistical tests, and rice versa. Pages ?~9-25•I in
<br />L. L. Harlow, S. A. Mulaik, and J. H. Stei!~er,
<br />editor. Wlt;tt if there were no significance tests?
<br />Lawrence Erlbaum Associates, ~lahwalt, New
<br />Jersey, USA.
<br />RI\DSt:OPt', D. ivl. 1997. Testing "small," not null,
<br />hypotheses: classical and Bavesian approaches.
<br />Pages 319,3:13 in L. L. Harlo.v, S. ,\. Mulaik. and
<br />J. H. Steiger. editors. What if there were no sig-
<br />nificance tests? Lawrence Ertbaum Associates,
<br />~[alrv:th, \e~v Jersey, USA.
<br />SAVAGE. I. R. 1951. Nonparametric statistics. Journal
<br />of the American Statistical Association 52:331~i-I-1.
<br />SCH~IIDT, E L., A`D J: E. HUX'TER. 1997. Eight com-
<br />mon but false objections to the discontinuation of
<br />significance testing in the analysis of research
<br />data. Pages 37-64 in L. L. Harlow, S. A. t~hd;dk,
<br />and J. H. Steiger, editors. \Vhat if there were no
<br />significance tests? Lawrence Erlbaum Associates,
<br />Mahwah, \rw Jersey. USA.
<br />SCHyt[TC, S. A. 1969. \Ir;uuring uncertainty: an rle-
<br />mentan• introduction to Bayesian statistics.:\d-
<br />tlisat-\Vesley. Reading. ~d;usachusetts, USA.
<br />$HA\"ER. 1. P. 199:1. 1\"hat statistical significance test-
<br />ing is. and ~ybat it is not. Journal of Experintrnt;il
<br />Ednc•ation G1:393-31G.
<br />$I\IBERLOFF. ll. 1990. Hcpothesrs, errors, and statis-
<br />tical assnntptions. Herpetologic•a 46::3b1-.i.5-.
<br />S I EtDL. R. J., 1. P. Hal ES. AXD E. Sr-HA(iBER. 199 .
<br />Statistical po~yer amtlt-sis in «iidlife rese:u•c•h.
<br />lonntal of \\'iidlife ~lana~_enient 01:'_70-.79.
<br />ST[U:ER. ). H., .-t~0. R. T. Ft)CL.\DI. 1991. \oncrn-
<br />tralih intrn;tl rstiut:ttion and ryaination of statis-
<br />tical nuxlels. Pages '_'_'i-_'3- in L. L. llarloty. S.
<br />~. \lnlaik. :uul 1. H. 5tri_rr. rditnrs. \\'hat if
<br />there ~crre n,t si~,niiic•:utcr tests' Lawrence trl-
<br />I,:uun :\ss,~ciatrs. \[ah~cai,. \"r'.~ Irrsry. US:\.
<br />Tttt: \\1l.nurr sue It:"r\. 199:1. I„~,rn:ti ne~ys. Juurual
<br />.,f1\'ildlife \Iau;i<,rrornt i>1:i91i-i9h.
<br />Tuu~t.t~. L...t~u (. ~. [\r,Lts>. Is)9- Trchnolr,_c:a
<br />tools. Bnilrtin of tlir Ecnln_n ;tl ..>ucirh' of .~mer-
<br />ica -5:1'(1-1:19.
<br />Tnt-r. C..\.. t~l) t'. ~. SttEt. ISIS:). llrtrctim,:r,in-
<br />nntnih-ttidr patterns: rstimatin~ p~;tt'rr strew-rth-
<br />rns sGttistic;tl intrrrncr.:\n,rrican \ahtralist 1^.,:
<br />(i I ~S-6?.~.
<br />Tl l:r.t. ~. \\: 19f;9- .-\nai~-ritt, ~!at:c sanctiflcatiun nr
<br />dr•tectitr tcorl:' :\tnrric:ut l';trhnln^ist 34:S;i-9 t.
<br />L'~1>tattttxn]. :\. 1. 199-. L•:zp~riutrnts in ecY?la_~':
<br />their logical drsi••n and intrmrctatioti using anal-
<br />tsis of t:u'i:utcr~ Canthrid'de [, nitrrsih' Press.
<br />(::unbrid L sited I~ingdutn.
<br />\\ tta'Glts. (:. 1. t956. Adalrtiyr In:nt:r_rn,rnt sit rr-
<br />nrtcahle rrsanrc•r•s. `lac\liilan. \ety 5•ork, \'zt~
<br />~D li. (:Rlcl:~. 199-. \';tluation ufe~perimrutal
<br />nt:utagentrnt siphon, for rr.ologirtl systems. Joum;tl
<br />of \1-ildlife ~l;uci,ement 6L9H7-L(x)Fi.
<br />\\~ut.fso~, L. J.. ). l3. I`\D.>xr. :\XD ~1. J. S~LtLL.
<br />1996. Bayesian rmironmrutal polite decisions: ttt'o
<br />c.ur shulies. Ec•olo~iril .applications 6:1056-1Q66. .
<br />l':\TGti. F. 196. Sir Ronald Fisher :uul the desi~~ti of
<br />exprriuteuts. Biometrics 30:30 33 L.
<br />"LeLLxFR, A. 19S'. Coroner[. Statistical Seiencr '_':
<br />:i;>9;341.
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