Quantitative research methods involve collecting and analyzing numerical data, such as surveys, experiments, and statistical analysis.
Qualitative Research
Views of participants, asks broad, general questions, collects data largely of words, describes and analyzes these words for themes, and conducts the inquiry in a subjective, biased manner
Qualitative Research
Grounded Theory (coding) or Thematic Analysis
Quantitative Research
Researcher decides what to study, asks specific, narrow questions, collects numeric data, analyzes these numbers using statistics, and conducts inquiry in an objective, unbiased manner
Inductive Research
Synthesize
Deductive Research
Analyze
Ethnography
Living with and studying a group of people to understand their culture and way of life
Phenomenology
Understanding how people experience a particular phenomenon or event
Case Study
Studying a person, group, or event
Grounded Theory
Developing a theory based on data, starting with observations and then creating a theory to explain them
Grounded Theory Approach
Uses inductive and deductive approaches
Historical Research
Identifies, evaluates, and synthesizes data from the past
Historical Research Approach
In sequence
Narrative Research
Collecting and analyzing stories to understand people's experiences and perspectives
Narrative Research
Attitudes, beliefs, and behaviors
Action Research
Involves the researcher to participate in a situation and collects data on it
Authoritarian- seeking experts or authorities as the producers of knowledge.
Mystical- seeking prophets, divines, and supernatural beings as sources of knowledge.
Rationalistic- seeking reason to justify the sources of knowledge (rationalism as a school of thought)
Tenacity- believing because it is the truth (i.e. “I believe in gravity because it is universally true”)
Authority- believing because it an authority says so (i.e. “An expert says this, so it must be true”)
Intuition- believing because it is reasonable (i.e. “It seems right, so it must be true”)
Science- believing because it has been proven through scientific process (i.e. “Study shows this, so it must be true”)
Research- suggests an action that denotes “to look for something again”.
Systematic- organized, logical, and scientific
Objective- the results and data gathered should be validated and analyzed with no bias.
Feasible- should affect any field of expertise, directly or indirectly.
Empirical- should be supported by first- and second-hand sources and pieces of evidence.
Clear- the variables should be explained through literature review and explanation of theories from which they are based.
The aim of qualitative analysis is a complete detailed description.
In quantitative research, we classify features, count them, and construct statistical models to explain what is observed.
Categorical- variables that come in labels instead of numbers.
Nominal- categorical variables that doesn’t follow any order.
Ordinal- categorical variables that follow a particular order.
Continuous- variables that come in numerical figures.
Discrete- continuous variables that have no value/meaning for zero (no ‘absolute value’)
Ratio- continuous variables that have absolute zero.
Independent- the variable that causes change to the outcome or dependent variable.
Dependent- the variable that changes depending on the causal or independent variable.
Control- a special type of independent variable that are measured because it could potentially influence the dependent variable.