This document discusses different types of sampling methods used in research. It describes probability sampling as methods where all members of the population have an equal chance of being selected, including simple random sampling, stratified sampling, cluster sampling, and systematic sampling. Non-probability sampling methods are also covered, where not all members have a chance of being selected, such as convenience sampling, quota sampling, and purposive sampling. Key factors that influence sample representativeness are the sampling procedure, sample size, and level of participation.

1. GERRITH SALE

2. SAMPLE
“Is a smaller ( but hopefully representative) collection
of units from a population used to determine truth
about that population.” ( Field, 2005)

3. 3 FACTORS THAT INFLUENCE
SAMPLE
REPRESENTATIVENESS
 Sampling Procedure
 Sample Size
 Participation (response)

4. KINDS OF SAMPLING
PROBABILITY
SAMPLING
NON-PROBABILITY
SAMPLING
1. Simple Random Sampling
2. Stratified Random
Sampling
3. Cluster Sampling
4. Systematic Sampling
1. Convenience Sampling
2. Quota Sampling
3. Purposive Sampling

5. PROBABILITY SAMPLING/
SCIENTIFIC SAMPLING
- A type of sampling in which all the members of the
entire population are given a chance of being
selected.

6. PROBABILITY SAMPLING
A. SIMPLE RANDOM SAMPLING
- is a method of choosing samples in which all
the members of the population are given an
equal chance of being selected. An Unbiased
sampling.

7. Various ways of getting the
samples through the simple
random sampling (Treece, 1986)
 Roulette wheel
 Fishbowl Technique
 Table of random numbers

8. B. STRATIFIED SAMPLING
- The population is first divided into different
strata, then sampling follows.
PROBABILITY SAMPLING

9. C. CLUSTER SAMPLING
- It is used in large-scale studies, in which the
population is geographically spread out.
PROBABILITY SAMPLING

10. D. SYSTEMATIC SAMPLING
- Relies on arranging the target population
according to same ordering scheme and then
selecting elements at regular intervals through
that ordered list.
PROBABILITY SAMPLING

11. - It is a process of selecting respondents in which not
all members of the entire population are given a
chance of being selected as samples.
NON-PROBABILITY
SAMPLING/ NON-SCIENTIFIC
SAMPLING

12. NON-PROBABILITY SAMPLING
A. CONVENIENCE SAMPLING/ ACCIDENTAL
SAMPLING
- People who are at the moment present during
the research visit will be chosen as respondents.

13. NON-PROBABILITY SAMPLING
B . QUOTA SAMPLING
- It is somewhat similar top stratified sampling in
which the population is divided into homogenous
strata, and then sample elements are selected
from each of the stratum.

14. NON-PROBABILITY SAMPLING
C . PURPOSIVE SAMPLING
- It involves the handpicking of subjects. This also
called judgmental sampling.