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Experimental research
involves designing an experiment by manipulating variables to find how one is affected by certain factors and then performing on different groups to find/assess results
Dependent variable
Independent variable
Control group
Phenomenography/Phenomenology
looks at different viewpoints from the inside and outside of a phenomenon with memory, consciouness, meaning, and image;gains info through interviews
Historical research
examines past events from documents and archives to make conclusions about the present/predictions for the future
needs assessment
identifies what needs to get changed to reach a desired condition and get rid of gaps
case study
in depth studies on people, processes, events, programs,and more; starts from identiying issues and collected with visuals,media, and other traditional methods
content analysis
analyzes materials such as books and movies to identify pattern and themes based on frequency and quantity
grounded theory
using abstract theories from processes, actions, and interactions from participants viewpoints; theories come from data gathered in the field
semiology
a study of signs, symbols,and how their meanings evolve and are altered in different systems
evaluation research
an evaluation of the holistic success(design,implementation,impact) of a program/policy through taking surveys,analyzing stats, and more
narrative research
study focusing on stories people tell about themselves or events; explores the question of who people are and how they change over time
descriptive research
explaining events and situations by their current status; finding correlations from pure observations instead of variables
correlational research
exploring relationships between two aspects/variables without manipulation;looking for natura connections and how extreme they are
delphi research
method usin
ethnographic research
involves immersion into a cultural/social group to study their practices; gives a detailed approach on data collection through interviews and observations
factor analysis
finding correlations between variables to model other variables by breaking them down into smaller subcategories that explain correlations
trend analysis
identifying past patterns from data to make educated predictions for the future