Sampling Techniques

It is determined by initial sampling criteria set by the researchers.

• Target Population

• Respondents

• Accessible Population

• Sample Population

A teacher wants to know the average time spent doing homework by the students in her class of 20 girls and 5 boys.

She picks the student in every 5th seat.

• Simple Random

• Systematic

• voluntary response

• convenience

Involves choosing the respondents of the study on the basis of pre- determined criteria set by the researcher

• PURPOSIVE SAMPLING

• CLUSTER SAMPLING

• SIMPLE RANDOM SAMPLING

• STRATIFIED RANDOM SAMPLING

1.Totality of all values (or measurements) of a particular characteristic for a specified group of objects that are of interest to the researcher.

• SAMPLE

• POPULATION

• SAMPLING

• UNIVERSE

The process of choosing a representative portion of a population.

• SUBJECT

• POPULATION

• SAMPLE

• SAMPLING

This sampling system works like a networking business referral program.

• Snowball Sampling

• Stratified Sampling

• Purposive Sampling

• Quota Sampling

Is used when the population is made up of groups of items with different characteristics

• STRATIFIED RANDOM SAMPLING

• CLUSTER SAMPLING

• PURPOSIVE SAMPLING

• SIMPLE RANDOM SAMPLING

Involves a method where the researchers divides a more extensive population into smaller groups (strata) that usually don’t overlap but represent the entire population.

• Quota Sampling

• Purposive Sampling

• Snowball Sampling

• Stratified Sampling

This type of sampling procedure gives equal chances to the members of the population to be part of the sample.

• Probability Sampling

• Non-Probability Sampling

What kind of sampling technique is the following:

List the names of all the students alphabetically and contact the parent of every 25th student.

• Simple Random

• Stratified sampling

• Cluster Sampling

• Systematic Sampling