Difference: HCIExperiments (4 vs. 5)

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	HCI Experiments Procedure Ethics Recruiting Running the Experiment Booking a room Recording the data Participant receipt form Analyzing the Data Parametric tests Non-parametric Tests Repeated Measures / Within Subjects Between Subjects Running the analysis in R HCI Experiments
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	ANOVA t-Test
Added:
> >	Note that as per Cohen (1988), eta squared values map to the following effect sizes: .01 = small .06 = medium .14 = large Jacob Cohen (1988), Statistical Power Analysis for the Behavioral Sciences (2nd ed.), New Jersey: Lawrence Erlbaum Associates, ISBN 0-8058-0283-5.
	Non-parametric Tests For analyzing non-parametric data, such as Likert-formatted items, consider using the tests listed below. It is also worthwhile to read through an email from Brian Gleeson on the topic.

HCI Experiments