Abstract
Researchers in behavioral ecology are increasingly turning to research methods that allow the simultaneous evaluation of hypotheses. This approach has great potential to increase our scientific understanding, but researchers interested in the approach should be aware of its long and somewhat contentious history. Also, prior to implementing multiple hypothesis evaluation, researchers should be aware of the importance of clearly specifying a priori hypotheses. This is one of the more difficult aspects of research based on multiple hypothesis evaluation, and we outline and provide examples of three approaches for doing so. Finally, multiple hypothesis evaluation has some limitations important to behavioral ecologists; we discuss two practical issues behavioral ecologists are likely to face.
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References
Abelson RP (1985) A variance explanation paradox: when a little is a lot. Psychol Bull 97:129–133
Alexander RD (1974) The evolution of social behavior. Annu Rev Evol Syst 5:325–383
Anderson DR, Burnham KR (2002) Avoiding pitfalls when using information-theoretic methods. J Wildl Manage 66:912–918
Anderson DR, Burnham KP, Thompson WL (2000) Null hypothesis testing: problems, prevalence, and an alternative. J Wildl Manage 64:912–923
Anderson DR, Burnham KP, Gould WR, Cherry S (2001) Concerns about finding effects that are actually spurious. Wildl Soc Bull 29:311–316
Bildstein KL (1983) Why white-tailed deer flag their tails. Am Nat 121:709–715
Blaustein AR, Risser AC (1976) Interspecific interactions between 3 sympatric species of Kangaroo rats (Dipodomys). Anim Behav 24:381–385
Bleich VC, Bowyer RT, Wehausen JD (1997) Sexual segregation in mountain sheep: resources or predation? Wildl Monogr 134:1–50
Brown KM (1998) Proximate and ultimate causes of adoption in ring-billed gulls. Anim Behav 56:1529–1543
Burnham KP, Anderson DR (2001) Kullback–Leibler information as a basis for strong inference in ecological studies. Wildlife Res 28:111–119
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer, New York
Burnham KP, Anderson DR (2004) Multimodel inference: understanding AIC and BIC in model selection. Sociol Method Res 33:261–304
Burnham K, Anderson D, Huyvaert K (2010) AICc model selection in the ecological and behavioral sciences: some background, observations, and comparisons. Behav Ecol Sociobiol. doi:10.1007/s00265-010-1029-6
Calhim S, Shi J, Dunbar RIM (2006) Sexual segregation among feral goats: testing between alternative hypotheses. Anim Behav 72:31–41
Caro TM (1986) The functions of stotting in Thomson’s gazelles: some tests of the predictions. Anim Behav 34:663–684
Chamberlin TC (1890) The method of multiple working hypotheses. Science 15:92–96
Chamberlin TC (1897) The method of multiple working hypotheses. J Geol Sci 5:837–848
Chatfield C (1995) Model uncertainty, data mining and statistical inference. J R Stat Soc Ser A-Stat Soc 158:419–466
Clarkson K, Eden SF, Sutherland WJ, Houston AI (1986) Density dependence and magpie food hoarding. J Anim Ecol 55:111–121
Cohen J (1992) A power primer. Psychol Bull 112:155–159
Congdon J (1974) Effect of habitat quality on distributions of three sympatric species of desert rodents. J Mammal 55:659–662
Cox DR, Snell EJ (1989) The analysis of binary data, 2nd edn. Chapman and Hall, London
Daly M, Jacobs LF, Wilson MI, Behrends PR (1992) Scatter hoarding by Kangaroo rats (Dipodomys merriami) and pilferage from their caches. Behav Ecol 3:102–111
Davis RH (2006) Strong inference-rationale or inspiration? Perspect Biol Med 49:238–249
Dochtermann NA, Jenkins SH (2007) Behavioural syndromes in Merriam’s kangaroo rats (Dipodomys merriami): a test of competing hypotheses. Proc R Soc B 274:2343–2349
Doerr ED, Doerr VAJ (2006) Comparative demography of treecreepers: evaluating hypotheses for the evolution and maintenance of cooperative breeding. Anim Behav 72:147–159
Eberhardt LL (2003) What should we do about hypothesis testing? J Wildl Manage 67:241–247
Elliott LP, Brook BW (2007) Revisiting chamberlin: multiple working hypotheses for the 21st century. Bioscience 57:608–614
Emlen ST, Reeve HK, Sherman PW, Wrege PH, Ratnieks FLW, Shellmanreeve J (1991) Adaptive versus nonadaptive explanations of behaviour: the case of alloparental helping. Am Nat 138:259–270
Fisher RA (1925) Statistical methods for research workers. Oliver and Boyd, London
Forstmeier W, Schielzeth H (2010) Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner’s curse. Behav Ecol Sociobiol. doi:10.1007/s00265-010-1038-5
Garamszegi LZ (2010) Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction. Behav Ecol Sociobiol. doi:10.1007/s00265-010-1028-7
Grace JB (2006) Structural equation modeling and natural systems. Cambridge University Press, Cambridge
Guthery FS, Brennan LA, Peterson MJ, Lusk JJ (2005) Information theory in wildlife science: critique and viewpoint. J Wildl Manage 69:457–465
Hawbecker AC (1940) The burrowing and feeding habits of Dipoclomys venustus. J Mammal 21:388–396
Hilborn R, Stearns SC (1982) On inference in ecology and evolutionary biology: the problem of multiple causes. Acta Biotheor 31:145–164
Holekamp KE, Sherman PW (1989) Why male ground squirrels disperse. Amer Sci 77:232–239
Hoogland JL (1981) The evolution of coloniality in white-tailed and black-tailed prairie dogs (Sciuridae: Cynomys leucurus and Cynomys ludovicianus). Ecology 62:252–272
Hoogland JL, Sherman PW (1976) Advantages and disadvantages of bank swallow (Riparia riparia) coloniality. Ecol Monogr 46:33–58
Hurvich CM, Tsai CL (1990) The impact of model selection on inference in linear regression. Am Stat 44:214–217
Jacobs LF (1992) Memory for cache locations in Merriam kangaroo rats. Anim Behav 43:585–593
Jacobs LF, Liman ER (1991) Gray squirrels remember the locations of buried nuts. Anim Behav 41:103–110
Jamieson IG (1989) Behavioral heterochrony and the evolution of birds helping at the nest: an unselected consequence of communal breeding. Am Nat 133:394–406
Jenkins SH (2004) How science works: evaluating evidence in biology and medicine. Oxford University Press, New York
Jenkins SH, Rothstein A, Green WCH (1995) Food hoarding by Merriam’s kangaroo rats—a test of alternative hypotheses. Ecology 76:2470–2481
Jenkins SH, Peters RA (1992) Spatial patterns of food storage by Merriam kangaroo rats. Behav Ecol 3:60–65
Johnson JG (1990) Method of multiple working hypotheses: a chimera. Geology 18:44–45
Johnson JB (2002) Divergent life histories among populations of the fish Brachyrhaphis rhabdophora: detecting putative agents of selection by candidate model analysis. Oikos 96:82–91
Johnson JB, Omland KS (2004) Model selection in ecology and evolution. Trends Ecol Evol 19:101–108
Kelly CD (2006) Replicating empirical research in behavioral ecology: how and why it should be done but rarely ever is. Q Rev Biol 81:221–236
Kiflawi M, Blaustein L, Mangel M (2003) Predation-dependent oviposition habitat selection by the mosquito Culiseta longiareolata: a test of competing hypotheses. Ecol Lett 6:35–40
Krebs CJ (2000) Hypothesis testing in ecology. In: Boitani L, Fuller TK (eds) Research techniques in animal ecology. Columbia University Press, New York, pp 1–14
Liley S, Creel S (2008) What best explains vigilance in elk: characteristics of prey, predators, or the environment? Behav Ecol 19:245–254
Lipton P (2005) Testing hypotheses: prediction and prejudice. Science 307:219–221
Maddala GS (1983) Limited-dependent and qualitative variables in econometrics. Cambridge University Press, Cambridge
Magee L (1990) R2 measures based on Wald and likelihood ratio joint significance test. Am Stat 44:250–253
Mayr E (1961) Cause and effect in biology. Science 134:1501–1506
Nagelkerke NJD (1991) A note on a general definition of the coefficient of determination. Biometrika 78:691–692
O’Donohue W, Buchanan JA (2001) The weaknesses of strong inference. Behav Philos 29:1–20
Oreskes N (1999) The rejection of continental drift. Oxford University Press, New York
Platt JR (1964) Strong inference. Science 146:347–353
Price MV, Mittler JE (2006) Cachers, scavengers, and thieves: a novel mechanism for desert rodent coexistence. Am Nat 168:194–206
Proctor RW, Capaldi EJ (2001) Improving the science education of psychology students: better teaching of methodology. Teach Psychol 28:173–181
Quinn JF, Dunham AE (1983) On hypothesis testing in ecology and evolution. Am Nat 122:602–617
Quinn GP, Keough MJ (2002) Experimental design and data analysis for biologists. Cambridge University Press, Cambridge
Railsback LB (1990) “Method of multiple working hypotheses: a chimera”—comment. Geology 18:917–918
Reichman OJ, Fattaey A, Fattaey K (1986) Management of sterile and moldy seeds by a desert rodent. Anim Behav 34:221–225
Roff DA (2002) Life history evolution. Sinauer Associates, Inc., Sunderland
Salt GW (1983) Roles: their limits and responsibilities in ecological and evolutionary research. Am Nat 122:697–705
Shaw WT (1934) The ability of the giant kangaroo rat as a harvester and storer of seeds. J Mammal 15:275–286
Sherman PW (1977) Nepotism and evolution of alarm calls. Science 197:1246–1253
Sih A, Bell AM, Johnson JC, Ziemba RE (2004) Behavioral syndromes: an integrative overview. Q Rev Biol 79:241–277
Simberloff D (1983) Competition theory, hypothesis testing, and other community ecological buzzwords. Am Nat 122:626–635
Stamps J, McElreath R, Eason P (2005) Alternative models of conspecific attraction in flies and crabs. Behav Ecol 16:974–980.
Steidl RJ (2006) Model selection, hypothesis testing, and risks of condemning analytical tools. J Wildl Manage 70:1497–1498
Stephens DW, Krebs JR (1986) Foraging theory. Princeton University Press, Princeton
Stokke BG, Hafstad I, Rudolfsen G, Moksnes A, Moller AP, Roskaft E, Soler M (2008) Predictors of resistance to brood parasitism within and among reed warbler populations. Behav Ecol 19:612–620
Symonds MRE, Johnson CN (2008) Species richness and evenness in Australian birds. Am Nat 171:480–490
Tinbergen N (1963) On aims and methods of ethology. Zeit Tierpsych 20:410–433
Tinbergen N, Impekoven M, Franck D (1967) An experiment on spacing-out as a defence against predation. Behaviour 28:307–321
Vanderwall SB (1994) Seed fate pathways of antelope bitterbrush: dispersal by seed-caching yellow pine chipmunks. Ecology 75:1911–1926
Whittingham MJ, Stephens PA, Bradbury RB, Freckleton RP (2006) Why do we still use stepwise modelling in ecology and behaviour? J Anim Ecol 75:1182–1189
Wolff JO (2000) In my opinion—reassessing research approaches in the wildlife sciences. Wildl Soc Bull 28:744–750
Zhang P (1992) Inference after variable selection in linear regression models. Biometrika 79:741–746
Acknowledgments
We thank Laszlo Garamszegi for his encouragement in writing this manuscript, participants of the “ABCD” statistical symposium held at the 2008 meeting of the International Society for Behavioral Ecology for vigorous and insightful discussion, and three anonymous reviewers for critical and insightful comments.
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Communicated by L. Garamszegi
This contribution is part of the Special Issue “Model selection, multimodel inference and information-theoretic approaches in behavioural ecology” (see Garamszegi 2010).
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Dochtermann, N.A., Jenkins, S.H. Developing multiple hypotheses in behavioral ecology. Behav Ecol Sociobiol 65, 37–45 (2011). https://doi.org/10.1007/s00265-010-1039-4
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DOI: https://doi.org/10.1007/s00265-010-1039-4