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���Finding Health Statistics & DataPresented by Michael Sholinbeck, �Public Health Librarian/Interim Optometry Liaison, �Bioscience, Natural Resources & Public Health Library.UC Berkeley D-Lab, �November 2, 2022.�me: msholinb@library.berkeley.edu

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La Trahison des Images (1929), by R. Magritte (LACMA)

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Asthma Diagnosis in Bay Area Kids, 2015-16from Kidsdata.org

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From NHANES data: �http://www.cdc.gov/nchs/data/databriefs/db213.htm Caloric Intake From Fast Food Among Children and Adolescents in the United States, 2011–2012�

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Money spent on beef in 2020�Source: SimplyAnalytics

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Caution: Survey Ahead!

Lots of health data comes from surveys. Here are some issues to consider when looking at survey or estimated data:

  • Look at sample sizes and survey response rates - representative of your population? Enough responses to be valid?
  • Who was surveyed? - representative of population being compared to? Include group you are interested in?
  • Were the survey respondents from heterogeneous groups? Do the survey questions have a similar meaning to members of different groups?
  • How was survey conducted? Via telephone? - Many people only have cell phones. Random selection or targeted group?
  • What assumptions and methods were used for extrapolating the data?
  • Look at definitions of characteristics - Does this match your own definitions?
  • Who identified race/ethnicity of respondents/participants?
  • When was the data collected?

(Adopted from information on the UCSF Family Health Outcomes Project web site)

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Who is missed or not counted well in “standard” surveys? �(ie, census, CDC surveys, etc.)

  • Trans and non-binary folks
  • Multiracial folks
  • Disaggregated AANHPI, and other racial/ethnic identities
  • etc.

See:

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Reliability and Validity

Reliable data collection: relatively free from "measurement error."

  • Is the device used to measure elapsed time in an experiment accurate?
  • Is the survey written at a reading level too high for the people completing it?

Validity refers to how well a measure assesses what it claims to measure

  • If the survey is supposed to measure "quality of life," how is that concept defined?
  • How accurately can this animal study of drug metabolism be extrapolated to humans?

(Adopted from Chapter 3, Conducting research literature reviews : from the Internet to paper, by Arlene Fink; Sage, 2010.)

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Yay! Success

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How Not to Use Data Like a Racist

Screenshots from How Not to Use Data Like a Racist, presented by Heather Krause, of We All Count

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Is it “health”?

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��Let’s find some statistics!��tinyurl.com/stats4dlab

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Did you experience enjoyment yesterday?

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Thank you!

Michael Sholinbeck,

Public Health Librarian/Interim Optometry Liaison

msholinb@library.berkeley.edu