Sampling Flashcards
population
everyone fitting criteria
clearly defined
sample
subset of pop
representative of whole pop
minimise sampling error and variability
characteristics of ideal sample
representative
independence
adequacy
homogeneity
2 categories of sampling methods
probability sampling (random)
non probability sampling
probability sampling
simple random sampling
stratifed
systematic
multistage
non probability sampling
judgment or deliberate
convenience
snowball
quota
probability sampling advantages
requires detailed info to be effective
estimates which can be measured precisely and unbiased
can evaluate relative effectiveness
probability sampling disadvantages
high degree of skill
requires time to plan
costs are higher
simple random sample
random number generated
random sample +ve and -ve
+
simple
no bias
representative
easy to detect errors
-
lack of control
stratified
ratio of number of items to be selected from each strata should be the same as the total number of the units in the strata bearing the units of entire pop
types of stratified
proportionate
disproportionate
stratified weighted
stratified + and -
+
greater control
representative
can replace units
-
bias
hard to achieve proportion
hard to make representative
hard to place cases under level
stratified + and -
+
greater control
representative
can replace units
-
bias
hard to achieve proportion
hard to make representative
hard to place cases under level
systematic + and -
+
Simple to draw
variance are smaller
reduces variability
-
interval related to ordering may increase variability
estimates of error likely