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Journal of Experimental Criminology

, Volume 2, Issue 2, pp 211–226 | Cite as

Some p-baked thoughts (p > 0.5) on experiments and statistical significance

  • Michael D. Maltz
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References

  1. Chaiken, J. M. & Chaiken, M. R. (1982). Varieties of Criminal Behavior. Report R-2814NIJ. Santa Monica, CA: RAND.Google Scholar
  2. Cleveland, W. S. (1993). Visualizing data. Summit, NJ: Hobart Press.Google Scholar
  3. Cleveland, W. S. (1994). The elements of graphing data. Summit, NJ: Hobart Press.Google Scholar
  4. Fox, J. A. (2004). Uniform Crime Reports [United States]: Supplementary Homicide Reports, 1976–2001. National Archive of Criminal Justice Data (http://www.icpsr.umich.edu/NACJD), Study 3989.
  5. Gigerenzer, G. (1987). Probabilistic thinking and the fight against subjectivity. In L. Krüger, L. J. Daston & M. Heidelberger (Eds.), Chapter I in The probabilistic revolution. Vol. 1, Ideas in history. Cambridge, MA: MIT Press.Google Scholar
  6. Gigerenzer, G., Todd, P. M. & the ABC Research Group. (1999). Simple heuristics that make us smart. Oxford, UK: Oxford University Press.Google Scholar
  7. Kelling, G. L., Pate, T., Dieckman, D. & Brown, C. (1975). Kansas City Preventive Patrol Experiment: A technical report. Washington, DC: Police Foundation.Google Scholar
  8. Larson, R. C. (1975). What happened to patrol operations in Kansas City? Journal of Criminal Justice 3, 267–297.CrossRefGoogle Scholar
  9. Lieberson, S. (1985). Making it count: The improvement of social research and theory. Berkeley, CA: University of California Press.Google Scholar
  10. Loftus, G. R. (1993). A picture is worth a thousand p values: On the irrelevance of hypothesis testing in the microcomputer age. Behavior Research Methods, Instruments, & Computers 25(2), 250–256.Google Scholar
  11. Maltz, M. D. (1970). Police communication—a case history. In A. M. J. Mensch (Ed.), The survival of communication networks. Brussels: NATO.Google Scholar
  12. Maltz, M. D. (1984). Recidivism. Orlando, Florida: Academic Press. Out of print; available in .pdf format from http://www.uic.edu/depts/lib/forr/pdf/crimjust/recidivism.pdf.Google Scholar
  13. Maltz, M. D. (1994). Deviating from the mean: The declining significance of significance. Journal of Research in Crime and Delinquency 31(4), 434–463.CrossRefGoogle Scholar
  14. Maltz, M. D. (1998). Visualizing homicide: A research note. Journal of Quantitative Criminology 14(4), 397–410.CrossRefGoogle Scholar
  15. Maltz, M. D. & Mullany, J. M. (2000). Visualizing lives: New pathways for analyzing life course trajectories. Journal of Quantitative Criminology 16(2), 255–281.CrossRefGoogle Scholar
  16. Maltz, M. D. & Pollock, S. M. (1980). Artificial inflation of a delinquency rate by a selection artifact. Operations Research 28(3), 547–559.CrossRefGoogle Scholar
  17. Maltz, M. D. & Waldron, S. (1968). A supervisory communications system for the Boston Police Department. In S. I. Cohn (Ed.), Law enforcement science and technology II. Chicago, Illinois: IITRI.Google Scholar
  18. Maltz, M. D., Gordon, A., McDowall, D. & McCleary, R. (1980). An artifact in pretestposttest designs: How it can mistakenly make delinquency programs look effective. Evaluation Review 4(2), 225–240.CrossRefGoogle Scholar
  19. Maltz, M. D., Gordon, A. & Friedman, W. (1991) Mapping crime in its community setting: Event geography analysis. New York: Springer-Verlag. Internet version published in 2000; available at http://www.uic.edu/depts/lib/forr/.Google Scholar
  20. McGrath, R. N. & Yen, A. B. (2005). A quick, compact, two-sample dispersion test: Count five. The American Statistician 59(1), 47–53.CrossRefGoogle Scholar
  21. Mosteller, F. (1981). Innovation and evaluation. Science 211, 881–886.CrossRefGoogle Scholar
  22. Sampson, R. J. & Laub, T. (1993). Crime in the making: Pathways and turning points through life. Cambridge, MA: Harvard University Press.Google Scholar
  23. Sherman, D., Gottfredson, D., MacKenzie, D., Eck, J., Reuter, P., Bushway, S. & et al. (1998). Preventing Crime: What Works, What Doesn’t, What’s Promising. Chapter 8, “Policing for Crime Prevention.” Available at http://www.ncjrs.org/works/.
  24. Stark, R. (1987). Deviant places: A theory of the ecology of crime. Criminology 25, 893–909.CrossRefGoogle Scholar
  25. Tufte, E. R. (1983). The visual display of quantitative information. Cheshire, CT: Graphics Press.Google Scholar
  26. Tufte, E. R. (1990). Envisioning information. Cheshire, CT: Graphics Press.Google Scholar
  27. Tufte, E. R. (1997). Graphical explanations. Cheshire, CT: Graphics Press.Google Scholar
  28. Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.Google Scholar
  29. Vaupel, J. W., Zhenglian, W., Andreev, K. F. & Yashin, A. I. (1998). Population Data at a Glance: Shaded Contour Maps of Demographic Surfaces over Age and Time.Google Scholar
  30. Waldron, S., Brown, D. & Maltz, M. D. (1968). Reports, Records and Communications in the Boston Police Department. Law Enforcement Assistance Administration, GPO: Washington, D.C.; Odense, Denmark: Odense University Press.Google Scholar
  31. Yin, R. K. (2000). Rival explanations as an alternative to reforms as “experiments.” In L. Bickman (Ed.), Validity and social experimentation, vol. 1 (pp. 239–266). Thousand Oaks, CA: Sage.Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Department of Sociology and Criminal Justice Research CenterOhio State UniversityColumbusUSA

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