Factors to Consider in Determining the Sample Size Flashcards
The higher the degree of variation within the population, the smaller the sample size can be utilized.
Homogeneity of the population
A larger sample size will result in greater precision or accuracy of the results.
Degree of precision desired by the researcher
Probability sampling utilizes smaller sample sizes than non-probability sampling
Types of Sampling Procedure
Used when the population is more than 100 and the researcher decides to utilize scientific sampling.
Calmorin’s Formula
What sample size is generally adequate to ensure that the sampling distribution of the mean will approximate the normal curve?
Sample sizes as small as 30
When the total population is equal to or less than 100, this same number may serve as the sample size.
Universal Sampling
Acceptable sample size for descriptive research?
10% - 20%
Acceptable sample size for comparative research?
15/group
Acceptable sample size for experimental research?
15-30 / group
a technique used to select members of the target population for the purpose of identifying characteristics of the whole population.
Sampling
2 Types of Sampling Methods
- Probablity Sampling
- Non-Probability Sampling
The researcher randomly chooses members of the target population. The members have an equal chance to be selected.
Probability Sampling (also known as random sampling)
The researcher selects participants based on his or her research goals.
Non-probability Sampling (also known as non-random sampling)
Types of Probability Sampling/Random Sampling
a. Simple random sampling
b. Cluster sampling
c. Systematic sampling
d. Stratified random sampling
Every participant is chosen randomly. It can be done by designating a code for each member of the population and then picking codes randomly.
Simple random sampling
The researcher divides the whole population into sections or clusters which will represent a population. Clusters are determined based on specific demographic factors such as age, gender, geography, and the like.
Cluster sampling
The researcher chooses the sample members of a population at regular intervals except for the first one chosen.
Systematic sampling
The researcher divides the population into smaller groups or subgroups based on similarity.
Stratified random sampling
What kind of probability/random sampling is shown below?:
If the researcher wants to sample 15 out of 150 teachers in a particular university, they can take every 10th name.
Systematic sampling
What kind of probability/random sampling is shown below?:
The population has 20 English majors, 20 Math majors, and 20 Science majors. If the researcher plans to select four participants from each major, they have to divide the population first based on the member’s specialization.
Stratified random sampling
Types of non-probability/non-random sampling
a. Convenience sampling
b. Purpose sampling
c. Snowball sampling/referral sampling
d. Quota sampling
This relies on accessibility or proximity and availability of participants.
Convenience Sampling
The researcher takes into account the purpose of the study and the capability of the target participants.
Purposive Sampling
What kind of non-probability/non-random sampling is shown below?:
The researcher decides to focus on Master’s students; the only participants that will be selected are those that are currently enrolled in a masteral program.
Purposive sampling
It is being applied when subjects are not easily traceable. People who already responded to the research study are asked to invite people they know to participate in the same study.
Snowball sampling/referral sampling
This is conducted based on a preset standard.
Quota sampling
What kind of non-probability/non-random sampling is shown below?:
If the target population has 30% teachers and 70% students, the sample population should have the same proportion.
Quota Sampling
