ESCI (pronounced 'esky') is a set of inter … ESCI (pronounced 'esky') is a set of interactive simulations that run under Microsoft Excel. The set of Excel files lets students explore some key concepts in statistical and quantitative reasoning, including effect sizes, confidence intervals, and meta analysis. These are key concepts in the neuroscience toolkit, but can be particularly difficult to foster in undergraduate and graduate students.
With ESCI you can:
* explore many Confidence Interval (CI) concepts
* calculate and display CIs for your own data, for some simple designs
* calculate CIs for Cohen's standardized effect size d
* explore noncentral t distributions and their role in statistical power
* use CIs for simple meta-analysis, using original or standardized units
* explore all these concepts via vivid interactive graphical simulations.
The simulations are free, excellent, and come with detailed supporting materials. Cumming also has a printed textbook companion which is quite good. Cumming, G. (2012). Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. New York: Routledge
* Explains estimation, with many examples.
* Designed for any discipline that uses statistical significance testing.
* For advanced undergraduate and graduate students, and researchers.
* Comes with free ESCI software.
* May be the first evidence-based statistics textbook.
* Assumes only prior completion of any intro statistics course.
* See the dance of the confidence intervals, and many other intriguing things.
The Excel files truly stand on their own, though, with good feedback from their use in a basic stats class for psych and neuroscience majors.
Finally, if you are like me and learned the 'old school' statistics of null-hypothesis testing, here's a great article by Gerd Gigerenzer to kick you into the 'new school' of confidence intervals and effect sizes.
Learn the dirty secrets of null hypothesis testing: Gigerenzer G, Kraus S & Vitouch O. (2004). The null ritual: What you always wanted to know about significance testing but were afraid to ask. The Sage Handbook of Quantitative Methodology for the Social Sciences, p. 391-408: http://library.mpib-berlin.mpg.de/ft/gg/GG_Null_2004.pdf .mpib-berlin.mpg.de/ft/gg/GG_Null_2004.pdf