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not an spss question - what is an appropriate sample size?

Posted by Bibel, Daniel (POL) on Oct 16, 2011; 5:16pm
URL: http://spssx-discussion.165.s1.nabble.com/Importing-from-MS-Access-64-bit-version-tp4907197p4907328.html

I would appreciate some guidance on a sample size question.

 

I work for an agency which collects statistical crime data from local police agencies.  These agencies serve cities/towns which vary in size, and therefore the total number of criminal 'incidents' which they report in a year also vary.

 

I am periodically audited by a higher authority.  This higher authority selects about 10 agencies each time they come to visit.  They have determined that if they audit 300 incidents they will have gotten a 'statistically valid' sample of cases for my state.

 

They then divide these n = 300 into roughly equal number of cases to audit for each of the ten agencies, therefore each agency has about 30 cases examined.

 

However, as stated above, the 10 agencies serve different sized populations and report different numbers of incidents per year.

 

Here are the results of the most recent audit:

 

1st group sampled

Agency

Records Reviewed

Incidents in 2009

 

Errors Found

 

Calculated

Error Rate

% of All Offenses Reviewed

A

55

26941

1

1.8%

0.20%

B

40

306

3

7.5%

13.07%

C

40

3163

1

2.5%

1.26%

D

32

1050

4

12.5%

3.05%

E

32

179

6

18.75%

17.88%

Total

199

31639

15

7.5%

0.63%

2nd group sampled

Agency

Records Reviewed

Incidents in 2009

 

Errors Found

 

Calculated

Error Rate

% of all  incidents reviewed

F

32

200

6

18.75%

16.0%

G

25

174

2

8.0%

14.4%

H

25

9217

3

12.0%

0.3%

I

31

1301

4

12.9%

2.4%

J

27

2673

1

3.7%

1.0%

Total

140

13565

33

23.57%

1.0%

 

 

My question to you all:  is the methodology specified above reasonable? What questions or issues does this methodology suggest – if it is not reasonable.

 

It seems to me that this techniques oversamples cases in agencies with few cases, and undersamples cases in larger agencies.