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DIGITAL COUNTING

DIGITAL COUNTING. Julia Blixrud <jblix@arl.org>. Digital Counting or Counting Digital Stuff:. Methods to Assure That I Have A Lot of Stuff, or at Least Enough Stuff, or Perhaps More Stuff Than Everyone Else. Digital Counting. Research Requires Statistics

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DIGITAL COUNTING

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  1. DIGITAL COUNTING Julia Blixrud <jblix@arl.org>

  2. Digital Counting orCounting Digital Stuff: Methods to Assure That I Have A Lot of Stuff, or at Least Enough Stuff, or Perhaps More Stuff Than Everyone Else

  3. Digital Counting • Research Requires Statistics • Statistics Require Data Collection • Data Collection Requires Counts • Therefore: All Research Just Counting

  4. Digital Counting FUNdamentals • Why Count • What to Count • How to Count • Data Validation/Managing data errors • Formulas to apply to make counts turn out to be what you said they would be

  5. Purpose of Statistics: WHO HAS THE MOST TOYS?

  6. Why Do We Count • DLI Project Requirement • People Love Numbers • People Love Charts and Graphs • People like to see their own institution as #1 • $$$$$

  7. Determining the Count Begin with the end in mind (Covey Principle)

  8. Determining the Count

  9. Digital Counting: Variables

  10. Digital Counting: Variables

  11. Digital Counting: Variables

  12. Digital Counting: Variables

  13. Digital Counting: Methods • Observation • Sampling • Survey • Modeling (Monument building) • Automated Statistics Gathering • Web searches • Server calls / Catalog calls

  14. Digital Counting: Tools

  15. Digital Counting: Tools

  16. Digital Counting: Tools

  17. Digital Counting: Tools

  18. Digital Counting: Tools

  19. Digital Counting: ResultsDO DO DO DO DO DO DO DO DO DO DO DODO DO DO DO DO DO DO DO

  20. The Chocolate Effect Also known as the “Fudge Factor” -- the Difference between what you get and what you already told people the number would be (usually a factor of 20%) Digital Counting: Data Validation

  21. Lake Wobegon Effect In Lake Wobegon All the Children are Above Average Digital Counting: Data Validation

  22. Thud Factor Bloatware The heavier the report, the more significant the results The more computer space used by the program and data the better Digital Counting: Data Validation

  23. A Cool Formula.45069 x log(VH) + .41567 x log(VA) + .36523 x log(CS)+ .49052 x log(LE) + .49621 x log(TS) - 26.6875106

  24. Digital Counting: Reports • Inputs and Outputs • Correlations and Distributions • Formulas and ratios • Humps and Valleys • Pies and Bars

  25. Digital Counting Result:We’re Number 1!!!!!

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