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PALMAR

This document discusses different types of sampling methods used in statistics. It describes cross-sectional and longitudinal studies, and how samples are selected from populations. It outlines probability sampling techniques like simple random, stratified random, and cluster random sampling. It also discusses non-probability sampling methods such as accidental, purposive, snowball, and quota sampling. Finally, it mentions conducting pilot studies and collecting data.

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Pamela laquindanum
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41 views1 page

PALMAR

This document discusses different types of sampling methods used in statistics. It describes cross-sectional and longitudinal studies, and how samples are selected from populations. It outlines probability sampling techniques like simple random, stratified random, and cluster random sampling. It also discusses non-probability sampling methods such as accidental, purposive, snowball, and quota sampling. Finally, it mentions conducting pilot studies and collecting data.

Uploaded by

Pamela laquindanum
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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3/14/2019 Palmer Complete Edited Royal Pentagon | Sampling (Statistics) | Will And Testament

7 of 26   Search document 

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 Cross Sectional
• Applicable to 2 or more identical
group
• Short term
• For comparison
 Longitudinal
• 1 group only
• with initial and follow up survey
• long term study
• for developmental study
• Selecting your population and samples
o sample
 part of population, data is collected.
 The recipient of the experimental treatment in experimental design
or the individuals to be observed in a non-experimental design
o Types of sampling
 Probability - equal presentation/ chances in the population.
•Simple random technique
o Used a single/identical group.
o Fish bowl technique
•Stratified random sampling
o You will first going to create a sub population from
the whole population before doing randomization.
o One population, you divide it.
•Cluster random sampling
o You will first create a sub area in a population
before doing the randomization. In one population,
you make it smaller 
•Systematic random sampling
o choosing a sample every nth name in the
population.
o Multiple of 100 names
o Sampling frame – list of names appearing as your 
population
 Non-probability sampling – you are not choosing by chance.
•Accidental/ convenience sampling
o Base on the accessibility/availability of your 
sample.
o Kung sino pinakamalapit syo, yun ang kukunin mo.
•Purposive/judgmental sampling
o base on the common knowledge or popular 
knowledge.
•Snow-ball sampling
o get sampling base on last referral
•Quota Sampling
o Setting criteria and getting samples fitting the
criteria
• Conducting pilot studies
• Collecting data

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