Lesson 3 Flashcards
various ways of collecting or gathering data
- Direct or Interview Method
- Indirect or Questionnaire Method
- The Registration Method
- Experimentation Method
- The Observation Method
In this method, the researcher has a direct contact with the interviewee
Direct or Interview Method
the researcher gives or distribute the questionnaire to the respondents either by personal delivery of by mail using this method
Indirect or Questionnaire Method
This method of collecting data is governed by laws
The Registration Method
is usually used to find out cause and effect relationships. Scientific researchers often use this method
Experimentation Method
This method is utilized to gather data regarding attitudes, behavior, values, cultural patterns of the samples under investigations
The Observation Method
is a small representative of a population is used
sample
To determine the sample size from a given population size, this formula is used
Slovin’s formula
n=(N)/(1 + Ne^(2))
is a procedure used to determine the individuals or members of a sample
Sampling technique
the two sampling techniques
Probability and Non-probability sampling
a sampling technique wherein each member or element of the population has an equal chance of being selected as members of the sample.
Probability sampling
is a sampling technique wherein members of the sample are drawn from the population based on the judgement of the researchers
Non-Probability sampling
Probability sampling methods
- Random Sampling
- Systematic Sampling
- Stratified Random Sampling
- Cluster Sampling
- Multi-stage Sampling
Non-Probability Sampling Methods
- Convenience Sampling
- Quota Sampling
- Purposive Sampling
- Judgement Sampling
- Snowball Sampling
- Voluntary Sampling
a sample is selected by listing a population sequentially and choosing members at regular intervals
Systematic Sampling
When we use this method, we are actually dividing the elements of a population into different categories or subpopulations and then the members of the sample are drawn or selected proportionally form each subpopulation.
Stratified Random Sampling
is a process of selecting clusters from a population which is very large or widely spread out over a wide geographical area.
Cluster sampling
is a combination of several sampling techniques
Multi-stage sampling
is a process of selecting a group of individuals who (conveniently) are available for study.
Convenience Sampling
Example: A researcher may only include close friends and clients to be included in the sample population.
is applied when an investigator survey collets information from an assigned number, or quota of individuals from one of several sample units
Quota sampling
is a process of selecting based from judgement to select a sample which researcher believed, based on prior information, will provide the data they need.
Purposive sampling
Example: A human resource director interviews the qualified applicants ina supervisory position. (Note: Qualified applicants are selected by the HR Director which is based from his own judgement.)
is a technique when the researcher relies on his/her personal/sound judgement in choosing to participate in the study or the sample selected is based on the opinion of an expert.
Judgement sampling
Example: In a study wherein a researcher wants to know it takes to be a topnotcher in a bar examination, the only people who can give the researcher firsthand advise are individuals who are bar topnotcher
is technique in which one or more members of a population are located and used to lead the researchers to other members of the population.
Snowball Sampling
is a technique when sample are composed of respondents who are self-select into the study/survey
Voluntary Sampling
