Testing for Bias in a Photo Lineup (How to Analyze Results?)
Posted: Thu Nov 19, 2009 2:03 pm
Hello. I am currently working on my eighth grade science fair project. It is due next Monday. I have completed the experiment and am now trying to analyze the results. My experiment is testing bias in a photo lineup, an idea I found on the site. Anyway, here is what the page says to analyze the data, with an example:
You can also calculate the frequency with which the "suspect" was chosen from the lineup, and calculate the probability that this frequency differs from chance. We'll work an example to show you how:
1. Write down the number of mock witnesses, n, who viewed the photo lineup: 29.
2. Write down the number of mock witnesses who chose the "suspect": 14.
3. Write down the number of photos used in the photo lineup: 6.
4. Calculate the proportion, p, of mock witnesses who chose the "suspect": 14/29 = 0.483.
5. Calculate the proportion, q, of mock witnesses who chose "fillers": q = 1 − p = 1− 0.483 = 0.517.
6. Calculate the standard error, s.e., of p: SQUARE ROOT OF P X Q DIVIDED BY N.
7. Expected proportion for choosing suspect by chance: 1/n = 1/6 = 0.167.
8. Critical ratio for difference from chance: (p − chance expectation)/s.e. = 0.483 − 0.167 / 29 = 3.406.
9. For a 95% confidence interval (i.e., only a 5% chance that the simulated lineup is biased), the critical ratio must be less than 1.96.
10. For a 99% confidence interval (i.e., only a 1% chance that the simulated lineup is biased), the critical ratio must be less than 2.58.
I have completed most of the steps. There were 21 mock witnesses, 16 of them picked the suspect, 6 photos were used in the lineup, the two proportions are 0.76 and 0.24 (I rounded to the hundredths), and for the standard error, I got 0.1. Steps 8 through 9 are throwing me off. How do I find the critical ratio? How do I find the confidence interval? Thanks in advance for any help!
You can also calculate the frequency with which the "suspect" was chosen from the lineup, and calculate the probability that this frequency differs from chance. We'll work an example to show you how:
1. Write down the number of mock witnesses, n, who viewed the photo lineup: 29.
2. Write down the number of mock witnesses who chose the "suspect": 14.
3. Write down the number of photos used in the photo lineup: 6.
4. Calculate the proportion, p, of mock witnesses who chose the "suspect": 14/29 = 0.483.
5. Calculate the proportion, q, of mock witnesses who chose "fillers": q = 1 − p = 1− 0.483 = 0.517.
6. Calculate the standard error, s.e., of p: SQUARE ROOT OF P X Q DIVIDED BY N.
7. Expected proportion for choosing suspect by chance: 1/n = 1/6 = 0.167.
8. Critical ratio for difference from chance: (p − chance expectation)/s.e. = 0.483 − 0.167 / 29 = 3.406.
9. For a 95% confidence interval (i.e., only a 5% chance that the simulated lineup is biased), the critical ratio must be less than 1.96.
10. For a 99% confidence interval (i.e., only a 1% chance that the simulated lineup is biased), the critical ratio must be less than 2.58.
I have completed most of the steps. There were 21 mock witnesses, 16 of them picked the suspect, 6 photos were used in the lineup, the two proportions are 0.76 and 0.24 (I rounded to the hundredths), and for the standard error, I got 0.1. Steps 8 through 9 are throwing me off. How do I find the critical ratio? How do I find the confidence interval? Thanks in advance for any help!