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1. SAMPLING
PROCESS STEPS

2. STEP 1
CLEARLY DEFINE
TARGET
POPULATION
Sampling Process Steps
STEP 2
SELECT
SAMPLING
FRAME
STEP 3
CHOOSE
SAMPLING
TECHNIQUE
STEP 4
DETERMINE
SAMPLE SIZE
STEP 5
COLLECT
DATA
STEP 6
ASSESS
RESPONSE
RATE

3. STEP 1
CLEARLY DEFINE
TARGET
POPULATION
Sampling Process Steps
GROUP OF INDIVIDUALS,
THAT THE INTERVENTION
INTENDS TO CONDUCT
RESEARCH IN AND DRAW
CONCLUSIONS FROM.

4. Sampling Process Steps
THE SAMPLING FRAME MUST BE
REPRESENTATIVE OF THE
POPULATION.
STEP 2
SELECT
SAMPLING
FRAME

5. Sampling Process Steps
SAMPLING TECHNIQUES CAN BE
DIVIDED INTO TWO TYPES:
THE PROBABILITY OR
random sampling and the Non-
probability or non- random
sampling.
STEP 3
CHOOSE
SAMPLING
TECHNIQUE

8. Sampling Process Steps
IN ORDER TO SIMPLIFY FROM A
RANDOM SAMPLE AND AVOID
SAMPLING ERRORS OR
biases, a random sample needs to
be of suitable size.
STEP 4
DETERMINE
SAMPLE SIZE

10. Sampling Process Steps
COLLECT DATA
coming from the subjects of
your research study
STEP 5
COLLECT
DATA

11. Sampling Process Steps
RESPONSE RATE IS THE NUMBER
OF CASES AGREEING TO TAKE
PART IN THE
study.
STEP 6
ASSESS
RESPONSE
RATE

12. Sampling Process Steps
IN REALITY, MOST
researchers never achieve a 100 percent
response rate. Reasons for this might
include refusal to respond, ineligibility to
respond, inability to respond, or the
respondent has been located but
researchers are unable to make contact.
STEP 6
ASSESS
RESPONSE
RATE

13. Sampling Process Steps
In sum, response rate is important because
each nonresponse is liable to bias the final
sample. Clearly defining sample, employing
the right sampling
technique, and generating a large sample,
in some respects can help to reduce the
likelihood of sample bias.
STEP 6
ASSESS
RESPONSE
RATE