SAMPLING TECHNIQUE

1. RANDOM

1.1. SIMPLE RANDOM SAMPLING

1.1.1. LUCKY DRAW

1.1.2. RANDOM NUMBER TABLE

1.2. SYSTEMATIC SAMPLING

1.2.1. k=N/n

1.2.2. select the 1st sample from k, e.g r th taken.

1.2.3. next will be r+k, then r+2k,...

1.3. STRATIFIED SAMPLING

1.3.1. PROPORTIONATE STRATA

1.3.2. DISPROPORTIONATE STRATA

1.4. CLUSTER SAMPLING

1.4.1. POPULATION DIVIDED INTO SUBS CLUSTER

1.4.2. RANDOM SAMPLE OF CLUSTER SELECTED BY SRS

1.4.3. ELEMENTS IN CLUSTERS DRAWN RANDOMLY

1.5. MULTISTAGE SAMPLING

1.5.1. DESIGNED FOR WORKING WITH SAMPLE FROM VERY LARGE POPULATION, E.G COUNTRY

1.5.2. PROCESS IS SIMILAR TO CLUSTER SAMPLING

2. NON RANDOM

2.1. CONVENIENCE SAMPLING

2.1.1. PRETEST QUESTIONNAIRE OR GATHERING OF IDEAS

2.2. JUDGMENTAL SAMPLING

2.2.1. BASED ON JUDGMENT

2.3. QUOTA SAMPLING

2.3.1. NUMBER ALLOCATED FOR EACH GROUP

2.4. SNOWBALL SAMPLING

2.4.1. INITIAL GROUP SELECTED AT RANDOM, THEN THEY IDENTIFY THE NEXT POSSIBLE RESPONDENT.