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Sample Size Requirements for Reliability with Ordinate vs Attribute Data

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    moonrigsolutionsinc
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    Hi! Is there a benefit to using ordinate data (score of 1-5 – higher is better and 3+ = pass, 1-2 = fail) vs binomial pass/fail data for reducing sample size requirements? I’m aiming to demonstrate 95% reliability (95% confidence) and expecting 0 failures so minimum sample size needed would be 59 for binomial but was looking for strategies to reduce the sample size requirement and was wondering if converting to ordinate data (scale of 1-5) would help (expecting all data to pass i.e. achieve a score of 3-5). Thanks for your help!

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