Studied by 0 people
Research Design
instruments to be used in collecting and analyzing data that helps you answer your research questions more effectively
Case Studies
a detailed study of a specific subject
Ethnographic research
in-depth observational studies of people in their natural environment, aiming to understand the cultures, challenges, motivations, and settings of those involved.
Grounded Theory
collecting rich data on a topic of interest and developing theories inductively
Phenomenology
investigating a phenomenon or event by describing and interpreting the shared experiences of participants
Narrative Research
examining how stories are told to understand how participants perceive and make sense of their experiences
Descriptive
provides information on the current state of affairs by observing participants in a natural situation
Experimental
provides causal relationship information between variables within a controlled situation
Quasi-experimental
attempts to build a cause and effect relationship between an independent variable and a dependent variable
Correlational
allows researcher to establish a relation between two closely related topics/variables
Exploratory
explores a new subject area by taking a holistic viewpoint and gathering foundational insights
Cross-sectional
provides a snapshot of a moment in time to reflect the state
Longitudinal
provides several snapshots of the same sample over a period of time to understand causal relationship
Mixed methods
provides a bespoke application of design subsets to create more precise and nuanced results
Observational
involves observing participants’ ongoing behavior in a natural situation
Non-probability Sampling Methods
samples are chosen without regard to probability of occurrence, caution should be exercised in interpreting the results
Convenience Sampling
elements are chosen primarily by convenience
Judgement/Purposive Sampling
elements are chosen based on the researcher’s or an expert’s judgement
Quota Sampling
the sample must be spread or roughly proportional over the population; samples are picked until the quotas are filled
Probability Sampling
samples are chosen based on known probabilities, samples may be generalized to entire populatio n
Simple Random Sampling
every unit has an equal chance of being selected
Systematic Sampling
every nth unit in a population frame is picked
Stratified Sampling
the population is subdivided into homogeneous groups according to some common characteristic
Cluster Sampling
the population are divided into several clusters so each is representative of the population
