Tables for analysing data Flashcards

1
Q

What are the characteristics of two-way-tables?

A
Organizes two categorical variables.
• Row variable: across (→)
• Column variable: down
Shows counts (= absolute frequencies) or percent (=relative frequencies)
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2
Q

What is a joint distribution?

A
  • Distribution for each cell

* Divide number in cell by total sample size

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3
Q

What is a marginal distribution?

A
  • Distribution for a single variable

* Divide total of a variable by total sample size

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4
Q

What is a conditional distribution?

A
  • Relative frequencies

* E.g. given that the person is a boy what is the probability his eyes are not green? (8/10=0.8)

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5
Q

Two-Way tables: no association?

A
  • Knowledge about x does not give any information about probability of y
  • Joint distribution can be calculated by multiplying marginal distributions and dividing the product by the table total
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6
Q

Two-way tables: perfect association?

A

• By knowing x you can perfectly predict y
• Fields have to be 0 for perfect association to
occur

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7
Q

What is the special case of interrupter reliability? (Kappa)

A
  • Reliability: To what extend a repeated measurement yields the same score.
  • 2 raters judge a same set of objects independently
  • They agree or disagree on different objects and you want to find out how much they agree (=interrater reliability =agreement Kappa)
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8
Q

What is the agreement Kappa (k)?

A

If the raters judged the objects randomly, there is still chance of agreement = expected agreement.
Kappa takes out the random factor via subtracting this expected random chance
𝑘 = (𝐴𝑜𝑏𝑠𝑒𝑟𝑣𝑒𝑑 − 𝐴𝑒𝑥𝑝𝑒𝑐𝑡𝑒𝑑 ) /(𝑁 − 𝐴𝑒𝑥𝑝𝑒𝑐𝑡𝑒𝑑)

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9
Q

How do you calculate Kappa?

A
  1. N= Total sum of objects (100) 2. 𝑨𝒐𝒃𝒔𝒆𝒓𝒗𝒆𝒅:
    • Add up all diagonal cells (9+14+30)
  2. 𝑨𝒆𝒙𝒑𝒆𝒄𝒕𝒆𝒅:
    • Multiply the two marginals of each Variable
    and divide by N.
    (i.e.: (26x24)/100)
    • Add up all results. (ie. 6.24+11.84+16.38)
  3. Plug the results in formula
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