L24: Data Acquisition 2

Question 1

What is the general format for constructing a questionnaire?

Answer 1

• introductory statement
• demographic qns
• factual qns
• opinion qns
• closing statement, return instructions

Question 2

What can a low response rate lead to?

Answer 2

Low response rate -> non-response bias (respondents may differ from non respondents in their characteristics and answers may be differ) -> compromises internal validity and weakens external validity (generalizability)

Question 3

What administration method should be avoided when assessing knowledge?

Answer 3

Mail or email survey mode (bc can cheat)

Question 4

How do we calculate sample size for survey sampling?

Answer 4

Cochran formula:
Z = z score of normal distribution (Z = 1.96 at 95% CI)
p = proportion of attribute (if unknown, p=0.5)
q = 1-p
e = desired level of precision

Yamane's formula: 
Assuming 95% CI and p=0.5, 
n = sample size 
N = population size 
e = desired level of precision

Question 5

What are the random sampling methods?

Answer 5

• simple random sampling
• systematic random sampling
• stratified random sampling
• cluster sampling

Question 6

What are non-random sampling methods?

Answer 6

• convenience sampling
• quota sampling
• snow ball sampling

Question 7

What are some common secondary data sources?

Answer 7

• medical records

- registry data

Question 8

What are the strengths of medical records?

Answer 8

• clinical data
• data is already collected
• detailed info on prescriptions

Question 9

What are some limitations of medical records?

Answer 9

• dont know actual drug use and compliance
• non prescription drugs missed
• incomplete info on habits, past history

Question 10

What are some strengths of registry data?

Answer 10

• inexpensive as alr created for other purpose

- detailed and systematically collected clinical data

Question 11

What are some limitations of registry data?

Answer 11

• minimal info on drug use

- no appropriate control groups