REFERENCES
- Altman, D. G., Machin, D., Bryant, T. N., & Gardner, M. J. (2000). Statistics with confidence: Confidence intervals and statistical guidelines (2nd ed.). London: BMJ Books.
- American Psychological Association. (2010). Publication manual of the APA (6th ed.). Washington, DC: Author.
- American Psychological Association, Council of Editors. (1952). Publication manual of the American Psychological Association. Psychological Bulletin, 49(Suppl., Pt. 2), 389–450.
- Beck, A. T., Steer, R. A., Ball, R., & Ranieri, W. F. (1996). Comparison of Beck Depression Inventories‐IA and ‐II in psychiatric outpatients. Journal of Personality Assessment, 67, 588–597. doi:10.1207/s15327752jpa6703_13
- Bird, K. D. (2004). Analysis of variance via confidence intervals. London: Sage.
- Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta‐analysis. Chichester: Wiley.
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
- Cooper, H. M. (2009). Research synthesis and meta‐analysis: A step‐by‐step approach (4th ed.). Thousand Oaks, CA: Sage.
- Cooper, H. M. (2011). Reporting research in psychology: How to meet Journal Article Reporting Standards. Washington, DC: APA Books.
- Coulson, M., Healey, M., Fidler, F., & Cumming, G. (2010). Confidence intervals permit, but don't guarantee, better inference than statistical significance testing. Frontiers in Quantitative Psychology and Measurement, 1(26), 1–9. doi:10.3389/fpsyg.2010.00026
- Cumming, G. (2006). Meta‐analysis: Pictures that explain how experimental findings can be integrated. Paper presented at The 7th International Conference on Teaching Statistics (ICOTS‐7). Salvador, Brazil. In A. Rossman, & B. Chance (Eds.), ICOTS‐7 Proceedings. Retrieved from http://www.stat.auckland.ac.nz/~iase/publications/17/C105.pdf. Also available from http://tinyurl.com/teachma
- Cumming, G. (2007). Inference by eye: Pictures of confidence intervals and thinking about levels of confidence. Teaching Statistics, 29, 89–93. doi:10.1111/j.1467‐9639.2007.00267.x
- Cumming, G. (2008). Replication and p intervals: p values predict the future only vaguely, but confidence intervals do much better. Perspectives on Psychological Science, 3, 286–300. doi:10.1111/j.1745‐6924.2008.00079.x
- Cumming, G. (2009). Inference by eye: Reading the overlap of independent confidence intervals. Statistics in Medicine, 28, 205–220. doi:10.1002/sim.3471
- Cumming, G. (2012). Understanding the new statistics: Effect sizes, confidence intervals, and meta‐analysis. New York: Routledge.
- Cumming, G., & Fidler, F. (2009). Confidence intervals: Better answers to better questions. Zeitschrift für Psychologie / Journal of Psychology, 217, 15–26. doi:10.1027/0044‐3409.217.1.15
- Cumming, G., Fidler, F., Leonard, M., Kalinowski, P., Christiansen, A., Kleinig, A., . . . Wilson, S. (2007). Statistical reform in psychology: Is anything changing? Psychological Science, 18, 230–232.
- Cumming, G., Fidler, F., & Vaux, D. L. (2007). Error bars in experimental biology. Journal of Cell Biology, 177, 7–11. doi:10.1083/jcb.200611141
- Cumming, G., & Finch, S. (2001). A primer on the understanding, use and calculation of confidence intervals that are based on central and noncentral distributions. Educational and Psychological Measurement, 61, 532–574. doi:10.1177/0013164401614002
- Cumming, G., & Finch, S. (2005). Inference by eye: Confidence intervals, and how to read pictures of data. American Psychologist, 60, 170–180. doi:10.1037/0003‐066X.60.2.170. Retrieved from http://www.apastyle.org/manual/related/cumming‐and‐finch.pdf. Also available from http://tinyurl.com/inferencebyeye
- Cumming, G., & Maillardet, R. (2006). Confidence intervals and replication: Where will the next mean fall? Psychological Methods, 11, 217–227. doi:10.1037/1082‐989X.11.3.217
- Cumming, G., Williams, J., & Fidler, F. (2004). Replication, and researchers' understanding of confidence intervals and standard error bars. Understanding Statistics, 3, 299–311. doi:10.1207/s15328031us0304_5
- Faulkner, C., Fidler, F., & Cumming, G. (2008). The value of RCT evidence depends on the quality of statistical analysis. Behaviour Research and Therapy, 46, 270–281.
- Fidler, F., Faulkner, S., & Cumming, G. (2008). Analyzing and presenting outcomes: Focus on effect size estimates and confidence intervals. In A. M. Nezu, & C. M. Nezu (Eds.), Evidence‐based outcome research: A practical guide to conducting randomized controlled trials for psychosocial interventions (pp. 315–334). New York: OUP.
- Fidler, F., & Loftus, G. (2009). Why figures with error bars should replace p values: Some conceptual arguments and empirical demonstrations. Zeitschrift für Psychologie/Journal of Psychology, 217, 27–37. doi:10.1027/0044‐3409.217.1.27
- Finch, S., & Cumming, G. (2009). Putting research in context: Understanding confidence intervals from one or more studies. Journal of Pediatric Psychology, 34, 903–916. doi:10.1093/jpepsy/jsn118
- Good, P. I. (1999). Resampling methods: A practical guide to data analysis. Berlin: Birkhauser.
- Grayson, D., Pattison, P., & Robins, G. (1997). Evidence, inference, and the “rejection” of the significance test. Australian Journal of Psychology, 49, 64–70. doi:10.1080/00049539708259855
- Gregson, R. A. M. (1997). Signs of obsolescence in psychological statistics: Significance versus contemporary theory. Australian Journal of Psychology, 49, 50–63. doi:10.1080/00049539708259854
- Grissom, R. J., & Kim, J. J. (2005). Effect sizes for research: A broad practical approach. Mahwah, NJ: Erlbaum.
- Hammond, G. (1996). The objections to null hypothesis testing as a means of analysing psychological data. Australian Journal of Psychology, 48, 104–106. doi:10.1080/00049539608259513
- Kazdin, A. E. (1999). The meanings and measurement of clinical significance. Journal of Consulting and Clinical Psychology, 67, 332–339. doi:10.1037/0022‐006X.67.3.332
- Kelley, K., & Maxwell, S. E. (2008). Sample size planning with applications to multiple regression: Power and accuracy for omnibus and targeted effects. In P. Alasuutari, L. Bickman, & J. Brannen (Eds.), The Sage handbook of social research methods (pp. 166–192). London: Sage.
- Kirk, R. E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56, 746–759. doi:10.1177/0013164496056005002
- Kirk, R. E. (2003). The importance of effect magnitude. In S. F. Davis (Ed.), Handbook of research methods in experimental psychology (pp. 83–105). Malden, MA: Blackwell.
- Kline, R. B. (2004). Beyond significance testing. Reforming data analysis methods in behavioral research. Washington, DC: APA Books. Chapter 3. Retrieved from http://www.apastyle.org/manual/related/kline‐2004.pdf Also available from http://tinyurl.com/klinechap3
- La greca, A. M. (2005). Editorial. Journal of Consulting and Clinical Psychology, 73, 3–5.
- Maxwell, S. E., Kelley, K., & Rausch, J. R. (2008). Sample‐size planning for statistical power and accuracy in parameter estimation. Annual Review of Psychology, 59, 537–563. doi:10.1146/annurev.psych.59.103006.093735
- Rao, S. (2008). Editorial. Neuropsychology, 22, 1–2.
- Rodgers, J. L. (2010). The epistemology of mathematical and statistical modeling: A quiet methodological revolution. American Psychologist, 65, 1–12. doi: 10.1037/a0018326
- Smithson, M. (2003). Confidence intervals. Thousand Oaks, CA: Sage.
- Steiger, J. H. (2004). Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9, 164–182.
- Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston, MA: Pearson.
- Velicer, W. F., Cumming, G., Fava, J. L., Rossi, J. S., Prochaska, J. O., & Johnson, J. (2008). Theory testing using quantitative predictions of effect size. Applied Psychology: An International Review, 57, 589–608. doi:10.1111/j.1464‐0597.2008.00348.x
- Wilcox, R. R. (2005). Introduction to robust estimation and hypothesis testing (2nd ed.). San Diego, CA: Academic Press.
- Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594–604. doi:10.1037/0003‐066X.54.8.594. Retrieved from http://www.apastyle.org/manual/related/wilkinson‐1999.pdf. Also available from http://tinyurl.com/tfsi1999
- Young, C., & Horton, R. (2005). Putting clinical trials into context. The Lancet, 366, 107–108. doi:10.1016/S0140‐6736(05)66846‐8