LESSON 1: Respondents and Sampling Flashcards
After determining what research method, you will be using,
selecting your respondents follows. To obtain reliable and valid data,
asking or surveying the affected population size (like conducting census)
is a must however the entire population is quite large and costly to
try. Providing an alternative, we have this sample size that can
represent and symbolize the population size. The sample signifies all
of the characteristics of the population that it is being studied
(Saunders, 2000).
Respondents and Sample Selection
A research population is typically a large group of people
or things that serve as the principal focus of a systematic
investigation. Research is carried out to benefit the general public.
However, because population sizes are so huge, it is sometimes
impractical and expensive for researchers to examine every member of the
community. Researchers use sampling strategies because of this.
Population
is a process used in selecting respondents from the target
population.
Sampling
merely a portion of the population. The researchers’ inability to evaluate every member of a given group gives rise to the idea of a sample. The sample must be enough in size to support statistical analysis and be representative of the population from which it was taken.
Sample
merely a portion of the population. The researchers’ inability to evaluate every member of a given group gives rise to the idea of a sample. The sample must be enough in size to support statistical analysis and be representative of the population from which it was taken.
Sample
After getting the exact number of sample sizes it’s about time to identify what sample technique to be used to serve as the framework, or road map that serves as the basis for the selection of a survey sample.
Sampling Methods
Sampling has two types
probability and non-probability. Since PR1 focuses on qualitative research only, this module discusses the non-probability sampling only.
sampling involves non-random selection based on convenience or other criteria, allowing you to easily collect data.
probability sampling
(also known as INCIDENTAL or ACCIDENTAL sampling) is a sampling technique in which a researcher chooses respondents that are nearest and available to participate in the study.
Example: Your research is all about students’ experience with regard to the new normal education. Choosing your friends or classmates as your respondents is an example of convenience sampling because it is more convenient for you.
Convenience sampling
the researcher chooses respondents based on their predefined criteria.
Example: If your research is about students who experienced body shaming, you cannot just choose your friends or classmates. You have to make sure that your respondents have experienced body shaming before selecting them
. Purposive or Judgmental sampling
is a sampling technique wherein the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits or focused phenomenon.
Example: Let’s say you are seeking opinions about the Intramurals 2022. You may decide to draw a sample of 100 students, including a quota of 50 people under Grade 11 and a quota of 50 people under Grade 12. This way, you get the perspective of both grade level groups equally.
Quota sampling
is a sampling technique that works like a chain referral in which the respondent recruits another respondent. This sampling technique is used if participants are hard to locate because the research topic is too confidential or sensitive.
Example: You need to know how cheating works. If you know someone who cheats during exams, this person might tell you other students who help them to cheat. This way, you are having more respondents because your first respondent helps you to find another respondent.
Snowball sampling
