Research Methodology in Dentistry

Integration of various health disciplines:
- Environmental Health
- Animal Health
- One Health: An approach that recognizes the interconnectedness of human, animal, and environmental health.

Critical Components:
- Inference from sample data to larger population.
- Analysis of sample results to draw conclusions about health outcomes.
Concepts:
- Categorical outcomes and continuous variables.
- Importance of precision in research methodologies.
- Estimating and classifying endpoints into generalizable categories.
- Use of histograms and charts for data interpretation.

A systematic approach for conducting research, transforming hypotheses through various phases to reach conclusions.

Inductivism:
- Emerged during the XVI and XVII centuries influenced by Francis Bacon's work, Novum Organum (1620).
- Knowledge acquired through observation, leading to generalizations:
- Observations → Induction → Laws/Theories → Deduction → Predictions and Explanations.
Fallacies in Inductivism:
- Post Hoc Ergo Propter Hoc: A logical fallacy meaning "after this, therefore on account of this."
- Example: Crowing of a rooster is linked to sunrise, despite lack of a causal relationship.
- Affirming the Consequent: Flawed reasoning where one states that the truth of a consequent affirms the truth of a prior conditional.
- Example: "If pigs have wings, then some winged animals are good to eat; now some winged animals are good to eat; therefore, pigs have wings" (Bertrand Russell, 1945).

Proposed by scientists as a method where theories are tested and potentially disproven.
Key Points:
- Scientists begin with hypotheses based on intuition and previous experience.
- Using deductive logic, scientists predict outcomes of the hypotheses and compare them to observed evidence.
- If observations do not align with predictions, the hypotheses may be refuted or replaced with better-suited ones.

Role of the scientific community in validating theories (Thomas Kuhn, 1962).
Example: Observations through a telescope are accepted based on the established theory of optics.
Science portrayed as a sociological process, not purely an empirical endeavor.

Focuses on evaluating knowledge as opposed to an absolute truth.
Key Contributors:
- Reverend Thomas Bayes (1764)
- Pierre Simon de Laplace (applied Bayesian statistical method).
Important Concepts:
- Assignment of prior probabilities (initial knowledge) and posterior probabilities (conclusions drawn).

Assertion that in empirical science, proof cannot be attained; only models or descriptions of nature can be tentatively formulated.
Encourages skepticism, reiterating the importance of maintaining a critical viewpoint in scientific endeavors.

Aim to address the underestimation of the complexity associated with scientific research methodologies.
Emphasizes the intricate nature of scientific languages and terminologies involved.
Structure designed to enable participants to grasp elements of scientific writing critical for:
- Assignments
- Final Degree Projects
- Master Thesis
- PhD Thesis

Collection of various sources relevant to research:
- Review articles, textbooks, encyclopedias, emails, research blogs.
- Databases including scholarly articles and popular magazines.
Application of research results to resolve real-world problems.
Key steps in the research process include:
- Defining research topics/questions.
- Securing funding through grant proposals (Government, NGOs, Industry).
- Collecting, analyzing, visualizing, interpreting data
- Disseminating and managing research results and data.