Chapter B (Stages of Survey Work) Flashcards
when data come from asking
every unit in the population
Census
when data come from asking a subset of people from a well-
defined population
Sample Survey
A process of selecting a sample
Sampling
Role of Sampling
- to estimate/approximate specific unknown parameters from a well-defined population
- to test a claim about an unknown
parameter from a well-defined population
Reasons for Sampling
- Do not need to conduct a census to obtain
information - Cost
- Timeliness
- Accuracy
- Detailed Information
- Destructive Testing
▧ Attributable directly to the fact that not all the population units are observed
▧ The extent depends on sample size and
variability of the population
Sampling Error
Two Types of Error in Survey:
Sampling Error and Non-sampling Error
▧ Attributable to all error sources unrelated to the sampling of respondents
▧ Includes coverage bias, selection bias, non-response bias, interviewer error, response error, coding error, etc.
Non-sampling Error
How to control error in survey work?
- Determine the appropriate sample size
- Define the target population, attempt to
maximize population coverage, select a
sample that fairly represents the entire
population, and obtain data from as much
of the selected sample as possible - Do a good job of training and supervising
interviewers, use good questionnaire
design, and exercise good control over
coding and data entry
is a chain of operations that extends
from data collection to publication of results
▧ Varying degrees of control can be exerted on the quality of each link in the chain
Survey