Q2: Sampling Procedure Flashcards
It is the totality of all the objects,
elements, persons, and characteristics
under consideration.
Population
It possesses common
characteristics about which the
research aims to explore.
Population
first step in determining the
sample size
identifying the population
of the topic of interest.
actual
population
Target population
portion of
the population in which the researcher
has reasonable access
Accessible population
pertains to the systematic process of
selecting the group to be analyzed in
the research study
Sampling
The goal is to get
information from a group that
represents the target population
Sampling
representative subset of the
population
Sample
This approach refers to the rule of the thumb for sample size. The early
established approach by Gay (1976) stated by Cristobal and Dela Cruz-Cristobal (2017, p
172),
Heuristics
as cited by Barrot (2017, p 107), also suggested different
sample sizes for each quantitative research design.
Lunenberg and Irby (2008),
Another approach is by reading similar or related literature and
studies to your current research study. Since you are done writing your review of related
literature and studies, you might want to recall how these studies determine sample size.
Using this approach increases the validity of your sampling procedure.
Literature review
also being established for the computation of an acceptable
sample size.
Formulas
Example of common formula
Slovin’s formula
Probability of rejecting null hypothesis
Statistical power
Level of difference between the experimental group and control grouop refers to _
Effect size
Tells the relationship between independent and dependent variables
Statistical power
Suggests the extent of the relationship between these two variables (IV DV)
Effect size
It is a way of choosing individuals in which all members
of the accessible population are given an equal chance to be selected.
Simple Random Sampling.
various
ways of obtaining samples through simple random sampling.
- fish bowl technique
- roulette wheel
- table of random numbers
gives an equal chance to all members of the population to be chosen.
However, the population is first divided into strata or groups before selecting the
samples. The samples are chosen from these subgroups and not directly from the entire
population. This procedure is best used when the variables of the study are also grouped
into classes such as gender and grade level.
Stratified Random Sampling.
This procedure is usually applied in large-scale studies,
geographical spread out of the population is a challenge, and gathering information will be
very time-consuming.
Cluster Sampling
involves
grouping of the population according to subgroups or clusters. It is a method where multiple
clusters of people from the chosen population will be created by the researcher in order to
have homogenous characteristics.
Cluster Sampling
This procedure is as simple as selecting samples every nth
(example every 2
nd
, 5
th
) of the chosen population until arriving at a desired total number of
sample size. Therefore the selection is based on a predetermined interval. Dividing the
population size by the sample size, the interval will be obtained.
Systematic sampling