Systematic series of steps ensuring objectivity & consistency
Core steps: define problem → review literature → formulate hypothesis → select research design & collect/analyze data → develop conclusion → suggest further research
Key Concepts & Definitions
\text{Operational\ definition}: precise explanation of an abstract concept for measurement
\text{Hypothesis}: speculative statement on relationship between variables
\text{Variable}: measurable trait; can change under conditions
• Independent: presumed cause
• Dependent: presumed effect
• Control: held constant to isolate effect
\text{Causal\ logic}: one event leads to another
\text{Correlation} \neq \text{Causation} (simultaneous change may not imply cause)
Major Research Designs
Surveys: interviews or questionnaires; yield quantitative or qualitative data
Ethnography: extended fieldwork; includes observation & participant observation
Experiments: controlled environment; experimental vs. control groups; beware \text{Hawthorne\ Effect}
Existing Sources: secondary analysis & content analysis of pre-collected data
Sampling & Data Quality
Representative sample: statistically reflects population
Random sample: equal selection chance for every member
Snowball (convenience) sample: recruits via networks/online posts