BEHL 2005/2019 (UO) Introductory Research Methods Key Considerations PDF
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BEHL
Hannah Keage
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Summary
This document covers key considerations for interpreting data, particularly focusing on the difference between absolute and relative risks and how misleading visualisations can skew understanding. It also discusses the importance of thoughtful data reporting and visualization practices in research.
Full Transcript
BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods DATA INTERPRETATION (KEY CONSIDERATIONS) Professor Hannah Keage What are we going to cover? Two common issues around data interpretation Absolute v relative risks Misleading axes Common issues around data interpretation https://twitter.c...
BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods DATA INTERPRETATION (KEY CONSIDERATIONS) Professor Hannah Keage What are we going to cover? Two common issues around data interpretation Absolute v relative risks Misleading axes Common issues around data interpretation https://twitter.com/justsaysrisks for more great examples Common issues around data interpretation • Relative v absolute risk. • The absolute risk of dying from a heart attack, in those 20 years and over, is actually pretty low (around 0.64%). 6 years of follow-up. • This increased to 0.73% in those who skip breakfast. RELATIVE RISK = ratio of one risk to another = 0.73/0.64 = 1.14 = 14.00% increased risk ABSOLUTE RISK DIFFERENCE= one risk subtracted from the other = 0.73–0.64 = 0.09 =0.09% increased risk https://twitter.com/justsaysrisks for more great examples Common issues around data interpretation • Relative v absolute risk. • Sometimes an absolute measure (not relative) is best. https://twitter.com/justsaysrisks for more great examples Common issues around data interpretation • Axis scale. • Truncating an axis is a major issue. • KFC is not a health food. https://venngage.com/blog/misleading-graphs/ Common issues around data interpretation • Cherry picking time period… • From this graph, I could say the RBA cash rate has increased for the first time. • But really…. https://www.rba.gov.au/statistics/cash-rate/ Common issues around data interpretation • It’s risen plenty of times! https://www.rba.gov.au/statistics/cash-rate/ Final words • Embrace data reporting and visualisation but do it with thought and care. • Data reporting and visualisations can easily go wrong and lead to incorrect conclusions. BEHL 2005 / BEHL 2019 (UO) Introductory Research Methods DATA INTERPRETATION (KEY CONSIDERATIONS) Professor Hannah Keage
