data-as-a-science
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whythawk
Module 1 - Lesson 6: Techniques in data and population sampling, and assessing standard error
ETHICS
Determine the impact of marginalised populations in data sampling, and risk of spurious correlations.
Sampling methods and impacts on likely results, danger of spurious correlations. Examples: how to sample drug addiction, or other stigmatised social characteristics and norms.
CURATION
Identify and apply licences and accessibility for data use and reuse.
Types of licence, and access for data (from CC to embargoed release) as well as the process of pre-prints and publication.
ANALYSIS
Evaluate standard errors on confidence intervals.
Point estimates, sampling distribution, standard error, and confidence intervals.
PRESENTATION
Plot confidence intervals and standard deviations from the mean.
Charts of confidence intervals from mean, standard deviation charts.
CASE STUDY
Chronic illness population? CDC alcohol abuse data… leads to sampling bias (cf social stigma) and alcohol abuse goes with other social problems (which came first? Alcohol or social problems?)
