1. Sampling Techniques Assist. Prof. Maha A. AL-Nuaimi Ph.D/ Comm. Med
Research Methods
Al-Mustansiriyah University

2. Session Objectives By the end of the session you will be able to:
Explain what sampling means in research
List the different sampling methods available
Recognize the best technique.

3. Sampling…
Sampling {i.e. selecting (study subjects) from a whole population}.
Extent to which research findings can be generalized to a larger pop.

4. The dependent variable can be generalised from n to N
Sampling
Statistics
The dependent variable can be generalised from n to N

5. What is the ideal concept in sampling ??
The perfect way in research work is to study the whole population, but this is usually (but not always) not feasible,
so we take a sample of the population,

6. Sampling in study methodology
Why?
PRACTICALITY …
Reduce bias
REDUCE BIAS
Save time and money
Measurements may be better in sample than in entire population
Feasibility

7. Sampling is very critical step?? WHY ??
It determines the power of the study and the degree of confidence for the results.
Any defect in sampling will cause a defect in the accuracy of results and will question the internal and external validity of the whole study.

8. Sampling Plans…
A sampling plan is just a method or procedure for specifying how a sample will be taken from a population. This is done in three steps:
1-Define the target population (sample frame)
(ex. All teenagers with DM).
2- Define the accessible population
(ex. Teenagers with DM living in Baghdad city during the year 2018).
3- Define the sample: randomly or non-randomly methods
It should be representative for the accessible population and easy to do.

9. Sampling ….
In any study, the sampled population and the target population should be similar to one another.
Generilisability
Sample size: the larger the sample size is, the more accurate we can expect the sample estimates to be.
Why ??

10. Sampling Techniques Simple random sampling Systematic Sampling
I- Randomized Sampling (probability sample):-
Simple random sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
Multi-stage sampling

11. Simple Random Sampling…
A simple random sample
when we have a Defined pop.
random Numbers’ tables
coin
computerized lists
other …

12. 2- Systematic Sampling: used in non-defined population, by choosing every (nth) person, (n) could be any No. according to the size of the sample that we need and the size of pop we have.
Systematic- e.g. every 5th person but starting randomly

13. Stratified Random Sampling…
A stratified random sample is obtained by separating the population into sets, (strata), and then drawing simple random samples from each stratum.
we use it in case that each group has a specific property, and may effect the whole data.
ex.: Sex, age, occupation, ethnicity, economic,, geographical distribution,…….
We can acquire about the total population, make inferences within a stratum or make comparisons across strata

14. Sampling Techniques II-Non randomized Sampling (non probability sampling)
Convenient sampling
Consecutive sampling
Inclusion-exclusion criteria.
Judgmental sampling.
Quota sampling.

15. Convenient and easy to perform
Convenience sample
A non-random collection of sampling units from an undefined sampling frame
Advantages
Convenient and easy to perform
Disadvantages
Not statistical justification for sample

16. Investigator decides who is enrolled in a study
Convenience sample
Cases of patients with asthma at a certain hospital
“Normal” people at specific area are asked to donate blood for a study
Children with haematuria reporting to an emergency room at that day.
Investigator decides who is enrolled in a study

17. Consecutive sample Advantages Disadavantage
A case series of consecutive patients with a condition of interest
Consecutive series means ALL patients with the condition within hospital or clinic, not just the patients the investigators happen to know about
Advantages
Removes investigator from deciding who enters a study
Requires case definitions of condition of interest
Straightforward way to enroll subjects
Disadavantage
Non-random

18. Consecutive sample
Outcome of 500 consecutive patients presenting to the emergency room with acute pancreatitis.
Explicit efforts must be made to identify and recruit ALL persons with the condition of interest

19. Specification
Done by inclusion and exclusion criteria:
Inclusion criteria: Define the main characteristics of the target and accessible pop. On basis of demographic and clinical characteristics and also geographic temporal character
e.g: black male y of age with fever and maculopapular rash attending specific hospital, between Jan/1st to Dec. June1st/2018)
Exclusion criteria:- people with eligibility criteria, but may interfere with the inferences because of other additional criteria as smoking, alcoholics, or plan to leave the province, language barrier, other comorbidities, pregnancy …

20. Other non randomized Sampling:
Volunteer sample
seeding sampling
Capture-recapture

21. Which sampling design is best?
Choose the method that gives the greatest degree of accuracy and precision for a given cost.
How can achieve that ??
Which is more commonly used method??