목차 1.INTRODUCTION -Definition Of Sampling -Definition Of Sampling Terminologies
2.THE FEATURES OF SAMPLING TYPES -Introduction -Four types Of Probability Sampling Design
본문 Purpose The researcher must guarantee that every individual has an equal opportunity for selection and this can be achieved if the researcher utilizes randomization.
way To select some units which can represent whole, from a total set of units
The Types Of Probability Samplings
Simple Random Sampling Systematic RandomSampling Stratified Random Sampling ClusterAnd Multi-StageSampling
The Gallup PollExample ↓ Population The total set from which the sample is drawn ↑↓ Sample Asubset of units selected from a larger set of the same units ↕ A set of specification of Target population ↓ All adults living in Jangchung -Dong on May 1 (Selecting units from population)
Not part of population
Part of population
Abstract ↓
Sampled Unit ↓ Interpretation The results of a study will depend on how the population is defined.
Sampling frame
a specific set of units from which the sample is actually drawn. The telephone directory listing of individual, a company’s internal data -base listing its employ- ees or customers, univ ersity registration lists.
Parameter
A characteristic of the population
Unit or set of units considered for selection at a stage of sampling
Unit of analysis Type of object whose characteristics interest us and whose characteristics we want to measure and study
Terms of Sampling Sampling frame Unit of analysis Parameter Sampling unit Sample bias Sample fraction
High school students as Freshmen (Unit of analysis)
High school (Sampling unit)
본문내용 ign 2 Definition Of Sampling Definition Of Sampling Terminologies Introduction Four types Of Probability Sampling Design 1) 1) 2) 2) *
Definition of Sampling The researcher must guarantee that every individual has an equal opportunity for selection and this can be achieved if the researcher utilizes randomization. To select some units which can represent whole, from a total set of units Purpose |
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