This document discusses quantitative data collection methods in research. It defines a sample as the group studied, population as the overall group, and notes a sample should be representative. It also outlines probability sampling methods like random and stratified sampling and non-probability methods like quota and convenience sampling. Finally, it lists common quantitative data collection techniques like questionnaires, experiments, and online surveys and provides a reference for further information.
2. Sample, population,
representative
Sample: The group of participants the
researcher actually examines
Population: The group of people whom the
study is about
A sample is a subset of the population that is
representative of the whole population
3. Sampling Procedures
Probability Sampling: Random sampling,
stratified random sampling, systematic
sampling, cluster sampling
Non-probability Sampling: Quota sampling
and dimensional sampling, snowball
sampling, convenience or opportunity
sampling
4. Types of quantitative data
collection
Questionnaires
Experimental and quasi-experimental studies
Quantitative data collection via the internet
