Hot answers tagged reaction-time
First off, what button-box you use is going to be influenced by what software you're using to run the experiment, so ideally you should specify that. The PST serial response box is probably the industry standard, and is what we have in my lab, although a lot of that is probably down to it coming from the makers of EPrime. EPrime doesn't work on OSX ...
The number of samples that are necessary for a good parameter estimation does indeed depend on the estimation method. I am not aware of a simple rule of thumb to determine an optimal sample size, but there has been a lot of literature on this topic. A paper that might be a good starting point for a literature search is Van Zandt T. (2000) How to fit a ...
Disclaimer: I'm not generally doing experiments where reaction time is the primary DV. But I thought I'd look at this issue and explored RTs from a neuroimaging dataset, and I think the findings are relevant to the question. I think without further qualification, this question doesn't have an answer. Here I've plotted the estimation of reaction time/RT over ...
You can transform RT, i.e., by log(1/RT). This makes the distribution roughly normal. The problem is that you don't usually run the ANOVA on the RT values collected at each trial, but on the average for each participant. So the distribution across participants need to be normal. A trick is to transform the single RT values, calculate the mean for each ...
As mentioned in the other comments, ANOVA is problematic when mixing types of predictor variables. (Generalized) mixed effects models are gaining popularity these days and actually provide a very convenient way for modelling such things. A paper demonstrating the efficacy of this approach as well as giving a tutorial-like introduction is: Davidson, D. J. ...
There's a new program called "Paradigm" that has direct support for typed responses. It will measure the input speed, time to first key press and record the typed response. It's very easy to use and has a number of other great features. Check it out: Paradigm http://www.paradigmexperiments.com
Often, very similar phenomena have different names when studied in different modalities, because they are studied by different communities. That's why searching for perception response times + auditory doesn't yield great results (Although I did find  this way). Something else to try, is to pick a highly cited paper that you did find, and then search ...
This article by Whelan (2010) is one of the best introductory papers I've found on the subject. Normalization is covered quite clearly and extensively, including the caveats and "gotchas". References Whelan, R. (2010). Effective analysis of reaction time data. The Psychological Record, 58(3), 9.
My impression is that, recently, a consensus began to form recently that RTs should be transformed to satisfy model assumptions. This is especially true when data is analyzed with mixed models instead of ANOVAs. Concerning the stability of effects under different transformations, you may find this paper interesting: http://web.uvic.ca/psyc/masson/KMR10.pdf
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