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Analyzing Plots in Statistical Data: A Comprehensive Overview

Explore the significance of graphical representation in data analysis with Hein Stigum's insightful presentation. Discover why graphs are essential, their common uses, and the evolution of graphic methods. Delve into practical examples, including linear and logistic regression analyses focusing on iron levels and weight impacts on blood pressure. Learn about advanced plotting techniques like scatter and density plots, boxplots, and more, tailored for various psychological phenomena and outcomes, including birth weight analysis based on different factors.

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Analyzing Plots in Statistical Data: A Comprehensive Overview

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Presentation Transcript

  1. A radical view on plots in analysis Hein Stigum Presentation, data and programs at: http://folk.uio.no/heins/

  2. Agenda • Why use graphs • Common use • A graphic evolution • Plots in analysis H.S.

  3. Why use graphs?

  4. Problem example • Lunch meals per week • Table of means (around 5 per week) • Linear regression H.S.

  5. Problem example 2 • Iron level • Linear regression: Males 9.4 units higher iron level • Logistic regression: Males 10.4 times more anemia H.S.

  6. Problem example 3 • Weight on blood pressure Missing sex H.S.

  7. Common use

  8. Pie and bar H.S.

  9. Bar-Dot-Line evolution H.S.

  10. The workhorses:Scatter and density

  11. Scatterplot

  12. Density kdensity weight Boxplot graph hbox weight Density H.S.

  13. Density with “boxplot” information H.S.

  14. Scatter and density plots for many types of data x-normal use x-suggested use H.S.

  15. Plots in analysis

  16. Continuous outcome

  17. Continuous by 1 category Aug-14 H.S. 17

  18. Continuous by 2 categories • Is birth weight the same for boys and girls? Scatterplot Density plot Equal means? Linear effect? Outliers? Equal variances?

  19. Continuous by 3 categories • Is birth weight the same over parity? Scatterplot Density plot Equal means? Linear effect? Outliers? Equal variances? H.S.

  20. Continuous by continuous • Does birth weight depend on gestational age? Scatterplot Density plot Equal means? Linear effect? Outliers? H.S.

  21. Binary outcome

  22. Binary by 2 categories • Does the low birth weight depend on sex? Jitter and line

  23. Binary by 3 categories • Does the low birth weight depend on parity?

  24. Binary by 3 categories, no scatter • Does the low birth weight depend on parity?

  25. Scatter: binary by countinuous • Does the low birth weight depend on gest. age? H.S.

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