Research is "a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses." More comprehensively, research methodology represents a systematic method to resolve research problems through data gathering using various techniques.
Scientific inquiry involves careful observation, asking questions, formulating hypotheses, experimental testing, and refining hypotheses based on experimental findings. This process includes creating testable hypotheses through inductive reasoning, testing these hypotheses through experiments and statistical analysis.
Purpose: Enhance existing knowledge without specific real-world application in mind
Characteristics: Broad scope, curiosity-driven, exploratory
Purpose: Examine how real-world phenomena can be altered or improved
Characteristics: Practical focus, experimental approaches, structured methodology
Conducted when little is known about a topic. Aims to gain insights rather than test hypotheses.
Describes characteristics of a topic as it exists currently. Provides detailed portrayal of situations.
Builds on other research to understand phenomena by discovering causal relationships.
Data Quality: Appropriate sampling, unbiased collection, inclusive methodology, secure storage
Analytical Rigor: Appropriate methods matched to research questions, transparent analysis, appropriate interpretation
Real-world problems observed in professional practice
Systematic review to identify contradictions and unexplored areas
Conflicts between different theoretical perspectives
Addresses important issues that matter to the field
Precisely stated, avoiding vague statements
Realistic given available resources
Explores new facets rather than replicating
Purpose: Explore when limited knowledge exists
Format: Interrogative statements seeking understanding
Purpose: Make testable predictions about relationships
Format: Declarative statements predicting outcomes
Manipulate variables to establish cause-effect relationships
Test causality without random assignment
Observe and describe without manipulation
Understand experiences and meanings
Combine quantitative and qualitative approaches
Broad, critical assessment emphasizing background and context
Explicit, systematic methods to minimize bias
Quantitative systematic reviews with statistical combination
Answer the questions below to get personalized recommendations for your research design
Find the perfect research design for your academic discipline
Choose your field of study to get personalized research design recommendations
PubMed: Medical literature
Google Scholar: Academic search
PsycINFO: Psychology research
ERIC: Education resources
G*Power: Sample size calculation
SPSS/R: Statistical analysis
NVivo: Qualitative analysis
Zotero: Reference management