Tables for analysing data Flashcards
What are the characteristics of two-way-tables?
Organizes two categorical variables. • Row variable: across (→) • Column variable: down Shows counts (= absolute frequencies) or percent (=relative frequencies)
What is a joint distribution?
- Distribution for each cell
* Divide number in cell by total sample size
What is a marginal distribution?
- Distribution for a single variable
* Divide total of a variable by total sample size
What is a conditional distribution?
- Relative frequencies
* E.g. given that the person is a boy what is the probability his eyes are not green? (8/10=0.8)
Two-Way tables: no association?
- 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
Two-way tables: perfect association?
• By knowing x you can perfectly predict y
• Fields have to be 0 for perfect association to
occur
What is the special case of interrupter reliability? (Kappa)
- 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)
What is the agreement Kappa (k)?
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)
How do you calculate Kappa?
- N= Total sum of objects (100) 2. 𝑨𝒐𝒃𝒔𝒆𝒓𝒗𝒆𝒅:
• Add up all diagonal cells (9+14+30) - 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) - Plug the results in formula