Evaluation

1. Macrostructure

1.1. Experiment

1.1.1. Posttest-only

1.1.2. Pre-post design

1.2. Quasi-experimental

1.2.1. interrupted time-series design

1.2.2. nonequivalent comparison group design

1.2.3. regression-discontinuity design

1.3. Descriptive

1.3.1. Case study

1.3.2. Cross-sectional desgin

1.3.3. Time-series design

2. Do you need to generalize, compare, or evaluate outcomes?

2.1. Yes

2.1.1. Quantitative Data

2.1.1.1. What type of results will answer the evaluation question?

2.1.1.1.1. Absolute results

2.1.1.1.2. Relative to a benchmark

2.1.1.1.3. Relative results focused on change

2.1.1.1.4. Relative results focused on a comparison

2.1.1.1.5. Correlation

2.2. No

2.2.1. Do you need to understand a topic, validate measures, inform a quantitative instrument, or get feedback?

2.2.1.1. Yes

2.2.1.1.1. Qualitative Data

3. Sampling methods

3.1. census

3.2. stratified random sample

3.3. random sample

3.4. purposive sample

3.5. convenience sample

3.6. snowball sample