QUIZ Flashcards
representative subset
Sample
totality of elements
Population
determines the accuracy of research
Sampling Techniques
2 Types of Sampling Techniques
Probability Sampling and Non-Probability Sampling
every member has the chance to be selected
Probability Sampling
Types of Probability Sampling in Quantitative Research
Simple Random Sampling, Systematic Random Sampling, Stratified Random Sampling, Cluster Sampling
population are given an equal chance to be selected.
Simple Random Sampling
requires selecting samples based on a system of intervals.
Systematic Random Sampling
involves the division of a population into smaller groups known as strata.
Stratified Random Sampling
divide a population into clusters, and randomly select of these clusters as sample.
Cluster Sampling
not every member has the chance to be selected.
Non-Probability Sampling
Types of Non-Probability Sampling in Quantitative Research
Convenience Sampling, Purposive Sampling, Quota Sampling, Snowball Sampling
based on the availability of the member and/or proximity.
Convenience Sampling
samples are chosen based on the goals of the study.
Purposive Sampling
the researcher selects from his/her judgement or some fixed quota.
Quota Sampling
participants were tasked to recruit other members for the study.
Snowball Sampling
tools to collect, measure, and analyze data.
Research Instruments
examples of research instruments
performance tests, interview, questionnaires, checklist
Characteristics of Research Instruments
Validity, Reliability and Objectivity
measures what it is supposed to measure.
Validity