Optimize Attribute Responses Using Design of Experiments

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The objective of a design of experiments (DOE) is to optimize the value of a response variable by changing the values, referred to as levels, of the factors that affect the response. Although often a response is continuous in nature, there are some cases in which the response falls in the attribute category (e.g., pass/fail, […]

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Making Sense of Attribute Gage R&R Calculations

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Measurement error is unavoidable. There will always be some measurement variation that is due to the measurement system itself. Most problematic measurement system issues come from measuring attribute data in terms that rely on human judgment such as good/bad, pass/fail, etc. This is because it is very difficult for all testers to apply the same […]

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Attribute Data: Making the Most of What’s Available

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Many times in software development and information technology, attribute data is what is available. Thus, it is valuable to look closely at the nature of attribute data and explore some tips for making the most of it.

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Challenges of Discrete and Attribute Data Measurement

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More than ever, companies today realize the importance of measurement – everything from measuring performance to measuring gap closure – in order to achieve goals. Measurement is the process of estimating the ratio of the magnitude of a quantity to a unit of the same type. A measurement is the result of such a process, normally expressed […]

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