A plan or something that is conceptualized by the mind
Research design
Serves as the blueprint or skeletal framework of your research study
Includes many related aspects of your research work
Requires you to finalise your mind on the purpose, philosophical basis, and types of data on your research, including the method of collecting, analyzing, interpreting, and presenting the data
Five research designs
Case study
Ethnography
Historical study
Phenomenology
Grounded theory
Case study
Describe a person, thing, or any creature on Earth for the purpose of explaining the reasons behind the nature of existence
Centers on an individual or single subject matter
Methods of collecting data are interviews, observations, and questionnaires
Ethnography
Involves a study of a certain cultural group or organization in which you obtain knowledge about their characteristics, organizational set-up, and relationships of the group members, in group activity
Historical study
Determine the reasons for changes or permanence of things in the physical world in a certain period
Data collecting techniques are biography or autobiography reading, documentary analysis, and chronicling activities
Phenomenology
A sensory experience that makes you perceive or understand things that naturally occur in life
Grounded theory
Aims at developing a theory to increase your understanding of something in a psycho-social context
Explanations are grounded in the participants' own interpretations or explanations
Sampling
Your method or process of selecting respondents to answer questions meant to yield data for research study
Sample
The 'chosenones' or respondents from which you will derive facts and evidence to support your claims or conclusions propounded by your research problem
Population
Bigger group from where you choose the sample
Sampling frame
The list of the members of such a population from where you will get the sample
Contains only those members from which we will draw our sample
Sampling originated back to the early political activities of the Americans
1920
Two sampling strategies
Probability sampling or unbiased sampling
Non-probability sampling
Probability sampling
Involves all members listed in the sampling frame representing a certain population focused on by your study
Sampling error
Cropsup if the selection does not take place in the way it is planned
Simple random sampling
Pure-chance of selection, assuring every member of the same opportunity to be in the sample
You can choose samples from a population
Systematic sampling
Chance and system are the ones to determine who should be the sample
Stratified sampling
The group comprising the sample is chosen in a way that such a group is liable to subdivision during the data analysis stage
Cluster sampling
Sampling that makes you isolate a set of persons instead of individual members to serve as sample members
Non-probability sampling
Disregards random selection of subjects, chosen based on their availability or the purpose of the study, and in some cases, on the sole direction of the researcher
Quota sampling
If you know the characteristics of the target population very well, you tend to choose sample members possessing or indicating the characteristics of the target population
Voluntary sampling
Since the subjects you expect to participate in the sample selection are the one volunteering to constitute the sample, there is no need for you to do any selection process
Purposive or judgmental sampling
You choose people whom you are sure could correspond to the objectives of your study, like selecting with richexperience or interest in your study
Availability sampling
The willingness of a person as your subject to interact
Snowball sampling
Free to obtain data from any group just like snow freely expanding and accumulating at a certain place