It is the creation of sample set.
Sampling Theory
It retains the accuracy in bringing out the correct statistical information.
Sampling Theory
The entire group you want to draw conclusions about.
Population
It is the specific group where you will collect data from .
Sample
What do you call the sample in a research?
respondents
It is the process of selecting a small number of elements (sample) from a larger defined target group of elements (population) such that the information gathered from the small group will allow judgements to be made about the larger groups.
Sampling
What are the basics of sampling theory?
- Population
- Element
- Defined Target Population
- Sampling Unit
- Sampling Frame
This is any type of bias that is attributable to mistakes in either drawing a sample or determining the sample size.
Sampling Error
Explain the ways in developing a sampling plan.
- Define the Population of Interest
- Identify a Sampling Frame (if possible)
- Select a Sampling Method
- Determine Sample Size
- Execute the Sampling Plan
Population of interest is entirely dependent on:
- Management Problem
- Research Problems
- Research Design
Bases for Defining Population
- Geographic Area
- Demographics
- Usage/Lifestyle
- Awareness
It is a list of population elements (people, companies, houses, cities, etc.) from which units to be sampled can be selected.
Sampling Frame
A good sample frame for a project on living conditions would:
- Include all individuals in the target populations
- Exclude all individuals not in the target population
Factors to be considered in sampling frame.
- Unique identifier for each member
- Logical organization to the list
- Up to date information
It is defined as a sampling technique in which the researcher chooses samples from a larger population using a method based on the theory of probability.
Probability Sampling
Types of Probability Sampling
- Simple Random Sampling
- Systematic Random Sampling
- Stratified Random Sampling
- Cluster Sampling
A method of probability sampling in which every unit has an equal nonzero chance of being selected.
Simple Random Sampling
A method of probability sampling in which the defined target population is ordered and the sample is selected according to position using a skip interval.
Systematic Random Sampling
Steps in a drawing a systematic random sampling.
- Obtain a list of units that contains an acceptable frame of the target population
- Determine the number of units in the list and the desired sample size.
- Compute the skip interval
- Determine a random start point
- Beginning at the start point, select the units by choosing each unit that corresponds to the skip interval.
It is a method of probability sampling in which the population is divided into different subgroups and samples are selected from each.
Stratified Random Sampling
Steps in Stratified Random Sampling
- Divide the target population into homogenous subgroups or strata.
- Draw random samples from each stratum
- Combine the samples from each stratum into a single sample of the target population.
It has all members from a randomly selected segments of a population.
Cluster Sampling
This is used when the population falls into naturally occuring subgroups.
Cluster Sampling
