P3.1. Principle of Sampling Flashcards
set of complete collection or totality of all possible values of the variable.
Population (N)
a subset or sub-collection of elements drawn from a population
Sample (n)
Stages of selecting a sample:
- Define the target population
- Select a sampling frame
- Determine if a probability or nonprobability sampling method will be chosen
- Plan procedure for selecting sampling units
- Determine sample size
- Select actual sampling unit
- Conduct fieldwork
the higher the percentage of the sample,
the higher the validity of the study.
The bigger the population,
the lesser percentage of the sample is taken.
- specific calculation of the sample for the purpose of adequate sampling.
- advised given by PAGOSO.
SLOVEN’S FORMULA
N = population
n = sample
e = margin of error or percentage of error
Sampling Techniques:
PROBABILITY SAMPLING
NON-PROBABILITY SAMPLING
sampling techniques under PROBABILITY SAMPLING:
- simple random sampling
- systematic sampling
- cluster sampling
- stratified sampling
sampling techniques under NON-PROBABILITY SAMPLING:
- purposive sampling
- quota sampling
- convenience sampling
- snowballing sampling
In this technique elements of the sample are selected through lottery.
Simple Random Sampling
- taking every element in the population assignment of number as a part of the sample.
- n elements from a population of N element
- divide the N element in the population in the n groups of kth elements.
Systematic Sampling
- this technique is being divided into sections
- randomly select as the member of the sample size.
sections or?
Cluster Sampling
clusters
- the population is subdivided into at least two different subpopulation that share the same characteristics and then the elements of the sample are drawn from its stratum proportionately.
- Can be proportional or non-proportional
subpopulation or?
Stratified Sampling
strata
elements of the sample are being selected according to the criteria or rules set.
Purposive Sampling
Purposive Sampling is also known as?
Judgemental/ Authorative Sampling