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Measurements, Meaningfulness and Scale Types

This seminar, led by Andrew Mead from the School of Life Sciences, delves into the essence of measurement fundamental to all studies, be they experimental or survey-based. Key topics include planning the measurement process, ensuring accuracy and precision, and selecting appropriate statistical methods based on measurement types. The discussion emphasizes the critical relationship between data, real-world responses, and the significance of analytical methods in interpreting results. Participants will gain insights into how measurement influences study outcomes and data presentation, ensuring effective results interpretation.

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Measurements, Meaningfulness and Scale Types

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  1. LDC Statistics Seminars, 2013/4 Measurements, Meaningfulness and Scale Types Andrew Mead (School of Life Sciences)

  2. The Nature of Measurement • All studies (experiments or surveys) involve some sort of measurement • Important part of the planning for any study • What are you going to measure? • How accurately can you measure it? • What is the precision of your measurements? • Can you measure what you are really interested in? • How do the data relate to the real response of interest? • Different types of measurement require different statistical approaches • Important to consider method of analysis when planning the form of measurement

  3. How far is an Irish mile? Knappogue Castle, Co. Clare

  4. Mean ratio =1.255 => 1 Irish mile = 2208 yds In fact, 1 Irish mile = 14/11 (= 1.273) English miles! EM = 1760 yds; IM = 2240 yds

  5. The Need for Statistics • Statistical methods have been developed to help in the quantitative study of variation and the summary, analysis and interpretation of data from experimental and observational studies. • Important to understand the nature of the measurements being made to be able to identify the most appropriate method of analysis • Important to also consider the nature of measurements for the presentation of data and the results of analyses

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