Research Types, Process, and Design
Research Definitions and Process
- Research is a systematic process of discovery.
- OECD definition: Creative and systematic work to increase knowledge of humankind, culture, and society, and to devise new applications of available knowledge.
- Research aims:
- Solve problems.
- Develop processes or policies.
- Develop new applications or technologies.
- Treat diseases.
- Research is ongoing, continually refining and expanding our knowledge base.
- Research is cyclical, often leading to new questions.
- Research must be shared to build on and expand knowledge.
Types of Research
Basic Research
- Experimental and theoretical work to acquire new knowledge.
- Focuses on the underlying foundation of phenomena and gathering observable facts.
- Driven by curiosity about how the world works.
- May not have immediate practical application but can lead to future discoveries.
- Primary purpose: Generating information to lead to theory and testing hypotheses.
- Examples: Human biology, biology, physiology, and neuroscience.
Applied Research
- Original investigation to acquire new knowledge directed towards a specific practical aim or objective.
- Focuses on the development of something.
- Knowledge creation or application needs translation into changes in practice or policy.
- Can take many years to implement.
Translational Research
- Translates findings from controlled trials into real-world settings.
- Examples: Sports science, exercise, and health.
- Involves testing the effectiveness of interventions in real-world conditions.
- Considers user experience and scalability within broader health systems or policies.
Research Process
- Starts with an observation.
- Asks questions about cause and effect.
- Questions are formally stated as a problem.
- The main problem is divided into smaller problems, specific questions, or hypotheses.
- Hypothesis: An educated speculation that answers the question.
- Hypothesis must be consistent with current knowledge and testable.
- A research plan is developed to test hypotheses or answer questions.
- Different research designs are appropriate depending on the question.
- Focus on designs common within the human sciences.
- The research process can be helical.
- Research plans may need modification due to practical or ethical issues.
- Assumptions need to be stated, which are conditions taken for granted.
Data Collection and Interpretation
- Data is collected in various forms (events, numerical values, observations).
- Data is meaningless until interpreted in light of existing knowledge and assumptions.
- Discovery and meaning of data are essential to research.
- Interpreted data answers the research question (partially or completely).
- Data often poses new questions, making the research process a cycle.
Primary vs. Secondary Research Designs
Primary Research
- Involves new research to answer specific questions or issues.
- Involves collection and/or analysis of new data.
- Data acquired through experiments, observational studies, fieldwork, primary document analysis, etc.
- Can be prospective or retrospective.
Secondary Research
- Summarizes and interprets existing knowledge.
- Common methodologies: systematic reviews.
- Systematic reviews aim to find and assess all high-quality studies addressing a specific question.
- Synthesizes what is known from primary research studies to provide a summary.
- Use statistical methods to combine results of individual studies.
- Common in biomedical research.
Quantitative vs. Qualitative Methodology
Quantitative Methodology
- Involves the collection and analysis of numerical data (counts, measures, scores).
- Describes numerical changes in data over time, between groups, or in response to an intervention.
- Uses statistics to test whether changes or differences are likely to be true or due to chance.
Qualitative Methodology
- Uses non-numerical forms of data from interviews, observations, documents, and artifacts.
- Useful for learning about social processes, concepts, ascribing meanings to symbols, and describing experiences.
- Growing recognition of its importance, especially in health-related research.
Study Designs within Primary Research
Observational Studies
- Studies that do not involve any intervention or experiment.
Experimental Research
- Studies that involve the manipulation of a factor under study and randomization of subjects to treatments or exposure groups.
- Can identify cause and effect.
Descriptive Designs
- Describe a phenomenon or make observations.
- Can generate questions and hypotheses but do not involve analysis.
Analytic Designs
- Aim to test hypotheses.
- Can be observational (indicate relationships between variables) or experimental (determine causality).
Strength of Evidence for Causality
- Descriptive studies indicate that a phenomenon exists.
- Observational studies identify relationships between variables.
- Experimental studies test whether one factor leads to a change in another (causality).