Tuesday, 8 October 2013

Sampling Details ROHAN CHORGE2013033


Rohan Chorge2013033
  A sample is “a smaller (but hopefully representative) collection of units from a population used to determine truths about that populationWhy sample?
  Resources (time, money) and workload
  Gives results with known accuracy that can be calculated mathematically
  The sampling frame is the list from which the potential respondents are drawn
  Registrar’s office
  Class rosters
  Must assess sampling frame errors
  What is your population of interest?
  To whom do you want to generalize your results?
  All doctors
  School children
  Indians
  Women aged 15-45 years
  Other
  Can you sample the entire population?
  3 factors that influence sample representative-ness
  Sampling procedure
  Sample size
  Participation (response)
  When might you sample the entire population?
  When your population is very small
  When you have extensive resources
  When you don’t expect a very high response
  Probability (Random) Samples
  Simple random sample
  Systematic random sample
  Stratified random sample
  Multistage sample
  Multiphase sample
  Cluster sample
  Non-Probability Samples
  Convenience sample
  Purposive sample
  Quota
               SAMPLING FRAME
  In the most straightforward case, such as the sentencing of a batch of material from production (acceptance sampling by lots), it is possible to identify and measure every single item in the population and to include any one of them in our sample. However, in the more general case this is not possible. There is no way to identify all rats in the set of all rats. Where voting is not compulsory, there is no way to identify which people will actually vote at a forthcoming election (in advance of the election)
  As a remedy, we seek a sampling frame which has the property that we can identify every single element and include any in our sample .
  The sampling frame must be representative of the population
 PROBABLITY SAMPLING
  Probability sampling includes:
  Simple Random Sampling,
  Systematic Sampling,
  Stratified Random Sampling,
  Cluster Sampling
  Multistage Sampling.
  Multiphase sampling