# Sampling and Sample Size Estimation Flashcards

an act of studying or examining only a segment of the population to represent the whole

Sampling

T or F

Sampling is only a segment of a WHOLE BUNCH?

True

Advantages of Sampling

- Cheaper
- Faster
- Better quality of Information
- Obtain more comprehensive data
- The only possible method for destructive procedures

refers to the entire group of individuals of items of interest in the study

Population

the group from which representative information is desired and to which inferences will be made.

Target Population

The population from which a sample will actually be taken

Sampling Population

A list of all the items in your population

Sampling Frame

It is a complete list of everyone or everything you want to study

Sampling Frame

T or F

The difference between a population and a sampling frame is that the population is general and the frame is specific.

T

an object or a person on which a measurement is actually taken, or an observation is made

Elementary Unit or Element

the difference between the value of the parameter being estimated and the estimate of this value based on the different samples

Sampling Error

The sample to be obtained should be

_________________ of the population

Representative

T or F

The sample size should be adequate

True

T or F

Practicality and Feasibility of the sampling procedure is not a criteria of a good sampling design

F

Economy and efficiency of the sampling Design is considered?

T. it should effective and attained in the shortest amount of time

T or F

There are a number of basic sampling designs that a researcher can choose from

T

Familiarize the specific design that is best for a particular study

- nature of the variables
- population being studied
- purpose for which the research is undertaken
- availability of information relevant to the sampling procedure itself (e.g. sampling frame)

what are the 2 types of Basic Sampling Designs?

- Probability sampling design
- Non-probability sampling designs

What are the sampling under NON PROBABILITY?

- Judgment or purposive sampling
- Accident or haphazard sampling
- Quota sampling
- Snowball technique sampling

The probability of each member of the population to be selected in the sample is difficult to determine or cannot be specified

Non-probability sampling design

- Researchers select the samples based purely on the researcher’s knowledge and credibility.
- Choose only those people who they deem fit to participate in the research study
- Not a scientific method of sampling

Judgment or Purposive sampling

What are the Downside of Judgmental or Purposive Sampling?

the preconceived notions of the researcher can influence the results, thus involving a high amount of ambiguity

- a sampling method that does not follow any systematic way of selecting participants.
- Example: standing on a busy corner during rush hour and interviewing people who pass by.

Accident or Haphazard Sampling

population is divided into subgroups or strata based on certain characteristics, and then participants are selected from each subgroup in proportion to the overall population distribution of those characteristics

Quota Sampling (def is from chat gpt)

If you see this card

Study how QUOTA SAMPLING work, its tad complicated

- Researchers use this technique when the sample size is small and not easily available.
- This sampling system works like the referral program.

Snowball sampling

Snowball sampling helps researchers find a

sample when they are difficult to locate, how?

The participants REFERS OTHER PEOPLE!!

Once the researchers find suitable subjects, he asks them for assistance to seek similar subjects to form a considerably good size sample.

Snowball Sampling