Module 2 Flashcards
(42 cards)
Stages in Sample Selection (1)
Define target population
Stages in Sample Selection (2)
Select sampling frame
Stages in Sample Selection (3)
Define if probability or non probability
Stages in Sample Selection (4)
Plan procedure for selecting sampling units
Stages in Sample Selection (5)
Determine sample size
Stages in Sample Selection (6)
Select actual sampling units
Stages in Sample Selection (7)
Conduct field work
All items or individuals of interest
Population
A finite subset of statistical individuals obtained from the population
Sample
To select a portion from the population
Sampling
Population pyramids
A. Rapidly Explanding
B. Expanding
C. Stationary
D. Contracting
Probability sampling techniques
Simple random
Systematic
Stratified random
Cluster
Non probability sampling techniques
Quota Snowball Self selection Convenient Purposive
Types of purposive sampling
Extreme case Heterogenous Homogenous Critical case Typical case
It refers to the sampling “lottery method”
Simple random sampling
The population is divided into groups based on some characteristi gs
List of Clients
Strata
Random subsamples of n/N
Stratified Sampling
Every member of the population is assigned to only one group
Cluster sampling
A list of every member of the populating
Intervals
Systemic random sampling
Quota sampling
Proportional quota sampling
Non proportional quota sampling
The population of interest is represented almost exactly by the percentage of each cell in the final survey results
Proportional quota sampling
“Soft quotas”
Captures a minimum number of respondents in a specific group
Non proportional quota sampling
The researchers chooses a sample that is readily available in some non random way
Convenience sampling
The respondents decide whether or not to participate
Self selection sampling
It asks respondents to recommend other respondents who might subsequently be invited to take the survey
Snowball sampling