The document identifies four basic sampling techniques: random sampling which uses chance methods to select samples, systematic sampling which selects every k-th subject, stratified sampling which divides the population into groups and samples from each, and cluster sampling which divides the population into clusters and randomly selects some clusters. The objective is to identify these four basic sampling techniques for collecting data.

2. Objective: To identify the four basic sampling
techniques.
1-4: Data Collection and Sampling Techniques

3. 1-4: Data Collection and Sampling Techniques
1) Random Samples: Selected by using chance
methods or random number.
2) Systematic Samples: Selected by numbering each
subject of the population and then selecting every k-
th subject.

4. 1-4: Data Collection and Sampling Techniques
3) Stratified Samples: Selected by dividing the population into
groups (called strata) according to some characteristic that is
important to the study, then sampling from each group.
Samples within the strata should be randomly selected.
4) Cluster Samples: Selected by dividing the population into
groups called clusters by a particular means. The means of
division might be geographic area or schools in a large district,
etc. The researcher then randomly selects some of these
clusters and uses all the members of the selected clusters as the
subjects of the samples.
Others mentioned in chapter 14: convenience, sequential,
double, and multi-stage

5. Assignment: p. 13, Applying the Concepts, #1-7
1-4: Data Collection and Sampling Techniques

6. Assignment: p. 13, Applying the Concepts, #1-7
1-4: Data Collection and Sampling Techniques