Sampling Techniques and Methods

Every possible group of units of the required size has the same chance of being the selected sample as any other sample of the same size.

• Simple Random 

• Thoughtful

• Typical

• Proportional

This sample is selected by dividing the population into subgroups and then taking a fixed number of units from each group using the simple random sample.

• stratified

• cluster

• judgment

• experimental

Units of the population are ordered in some fashion.  Usually, every k-th unit is chosen.

• proportional

• probable

• stratified

• systematic

Units of the population are grouped; one or more groups are selected at random.  All units of that group are included in the sample.

• cluster sample

• simple random

• stratified

• proportional

Match the following:

• Cluster Random Sample

• Involves the division of a

  population into smaller groups. Ideally, there is heterogeneity within each group. Data are collected from all observations in the selected group.

• Convenience Sample

• A sample in which every group of a given size has an equal chance of being chosen.

• Simple Random Sample (SRS)

• A non-probability sampling technique where the researcher selects units to be sampled based on their ease of sampling

• Stratified Random Sample

• A method in which sample members from a population are selected according to a random starting point and a fixed, periodic interval.

• Systematic Random Sample

• The division of a population into separate groups based on similar characteristics. A simple random sample is selected within each group, and the selected units are combined to form the sample.

Sampling Technique: A poll on effective educational methods is taken by selecting 4 of the 10 departments at a local university and surveying all members in those groups.

• Systematic

• Stratified

• Cluster

• Convenience

Which sampling technique allows Lyra to group students based on race and randomly select students to create a representative sample of the school?

• Simple random sampling

• Stratified random sampling

• Cluster sampling

• Systematic sampling

Identify the sampling design: The LFCC registrar wants to investigate attitudes of their graduates.  The registrar randomly selects 100 names from each of the four past graduating classes.

• cluster

• volunteer

• stratified

• simple random

Identify the sampling design: Mr. Rhoades puts all of his students' names in a hat and randomly selects one without looking.

• cluster

• volunteer

• systematic

• simple random

Identify the sampling design: Student government randomly samples 25 students of each of the four classes.

• stratified

• volunteer

• systematic

• simple random