Sampling Design Overview. II. Sampling and Experimentation Planning and conducting a study (10%-15%)...
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Transcript of Sampling Design Overview. II. Sampling and Experimentation Planning and conducting a study (10%-15%)...
II. Sampling and Experimentation
Planning and conducting a study (10%-15%)
Data must be collected according to a well-developed plan if valid information on a conjecture is to be obtained. This includes clarifying the question and deciding upon a method of data collection and analysis.
A. Overview of methods of data collection1. Census
2. Sample survey
3. Experiment
4. Observational study
II. Sampling and Experimentation
General questions
2. Why do we take samples?
A census is too difficult/too expensive.
A sample can give us good information about the population much more cheaply and easily.
General questions
3. What is a sampling frame?
The list of the population we use to generate a sample.
General questions
4. What is bias?
A description of a sampling method that tends to overestimate or underestimate the population parameter.
B. Planning and conducting surveys1. Characteristics of a well-designed and well-
conducted survey
2. Populations, samples, and random selection
3. Sources of bias in sampling and surveys
4. Sampling methods, including simple random sampling, stratified random sampling, and cluster sampling
II. Sampling and Experimentation
D. Generalizability of results and types of conclusions that can be drawn from observational studies, experiments and surveys
II. Sampling and Experimentation