This document is prepared by Mr. Lord Ian C. Cruz, MAED, LPT and edited by Mr. Bernard S. Basuel, LPT. It provides an in-depth overview of practical research methodologies and approaches.
Nature of Inquiry: Inquiry is the act of seeking knowledge through questioning and investigation.
Nature of Research: Research involves a systematic approach to inquiry, focusing on gathering and interpreting data.
Qualitative Research: Explores non-numerical data and experiences to derive insights.
Research Topics: Areas of inquiry include issues across various fields of knowledge.
Research Problem and Research Question: Identifies what is being studied and guides the research direction.
Review of Related Literature: Compiles existing studies and finds a framework for the new research.
Qualitative Research Designs: Plans for conducting qualitative studies, including methodologies and frameworks.
Sampling: The process of selecting participants for research.
Data Collection: Techniques for gathering data relevant to the research questions.
Data Analysis: Interpreting collected data to draw conclusions.
Reporting and Sharing Findings: The final step in disseminating research results to appropriate audiences.
Research Experiences: Sharing experiences enhances understanding of research processes.
Importance of Research: Research plays a pivotal role in shaping informed decisions in daily life.
Characteristics and Processes: Understanding the fundamentals of research helps in better execution.
Ethics of Research: Highlights the need for adherence to ethical standards.
Examples of Research: Demonstrates how research applies to various fields such as arts, science, and social inquiry.
Definition of Learning: Learning is acquiring knowledge and skills through study or experience.
Definition of Inquiry: A motivational learning process aimed at exploring knowledge about various subjects.
Inferential Thinking: Drawing conclusions based on evidence.
Critical Thinking: Involves reasoning and questioning to assess information.
Integrative Thinking: Combining diverse ideas for comprehensive understanding.
Creative Thinking: Generating novel ideas and approaches to problems.
Objective: Ensure community needs are met.
Example: Analyze demographics for needed facilities.
Key Question: Does the plan consider accessibility and safety?
Objective: Innovate unique park features.
Example: Plan interactive installations or sensory gardens.
Key Question: How can the park reflect community identity?
Objective: Predict usage patterns.
Example: Survery data to forecast park engagement.
Key Question: What usage trends should be anticipated?
Objective: Combine stakeholder perspectives.
Example: Integrate feedback from various groups into a cohesive design.
Key Question: How to balance aesthetics and function?
Objective: Assess feasibility of the app.
Example: Evaluate competitors and unique features.
Key Question: What unique solutions does the app offer?
Objective: Design engaging features.
Example: Gamify tracking habits or incorporate AI insights.
Key Question: What creative elements enhance functionality?
Objective: Analyze user preferences.
Example: Use data to prioritize app features.
Key Question: Which habits will users most likely track?
Objective: Merge various inputs into the app design.
Example: Collaborate with team members for a balance in user experience and technical aspects.
Key Question: How to create a seamless, robust app?
Overview: The problem-solving process involves questioning, critical reasoning, and building on previous knowledge to generate innovative solutions based on discovered insights.
John Dewey: Promoted connected experiences and reflective thinking.
Lev Vygotsky: Introduced scaffolding for learning.
Jerome Bruner: Emphasized individual perceptions shaping learning.
Enhances interpretative skills.
Increases vocabulary and social awareness.
Promotes collaborative skills and procedural knowledge.
Encourages higher-order thinking for a deeper understanding.
Defined as a systematic investigation aiming to discover facts and support claims.
Research and inquiry share similarities in their investigative nature through questioning.
Empirical: Based on observation.
Systematic: Follows orderly procedures.
Controlled: Maintains constant variables.
Employs Hypothesis: Tests predictions.
Analytical: Engages data analysis.
Objective: Unbiased and logical.
Original: Produces new findings.
Define Research Problem: Clarify issues at study.
Review Literature: Familiarize with existing knowledge.
Hypothesis Formulation: Develop testing questions.
Research Design: Outline participant scope.
Data Collection: Gather necessary information.
Data Analysis: Evaluate research questions.
Interpret and Report Findings: Determine implications and communicate results.
Case Study: Pharmaceutical company manipulating clinical results.
Fabrication of Data: Cooks patient data to exaggerate effectiveness.
Failure to Obtain Informed Consent: Participants unaware of risks.
Harm to Participants: Omitted reports of severe side effects.
Conflict of Interest: Financial biases of researchers compromise objectivity.
Harm to patients leading to potential danger.
Loss of public trust affecting future research credibility.
Legal repercussions causing loss of professional credibility.
Case Study: ABM students plagiarizing literature review.
Plagiarism: Copying without credit constitutes ethical breach.
Misrepresentation: Creates false impression of original work.
Consequences: Academic penalties and loss of integrity affecting future opportunities.
Fosters accountability and promotes responsible research practices.
Builds public awareness about research integrity and ethics.
Honesty: Maintain communication and authenticity of data.
Objectivity: Avoid biases in all stages of research.
Integrity: Keep commitments and ensure accurate reporting.
Confidentiality: Safeguard private information.
Social Responsibility: Strive for societal benefits while avoiding harm.
Respect for Intellectual Property: Acknowledge contributions accurately.
Based on Application: Pure vs. Applied Research.
Based on Purpose: Descriptive, Correlational, Explanatory, and Action Research.
Based on Data Types: Qualitative and Quantitative Research.
Research Approaches: Scientific vs. Naturalistic, and Triangulation.
Arts: Interpretations of abstract art and street art.
Humanities: Refugees in literature and cultural histories.
Sports: Athlete experiences and gender roles in sports.
Science: Public perceptions of genetic engineering and women in STEM.
Business: Challenges in entrepreneurial ventures and customer insights.
Agriculture: Climate change perceptions and women's roles in farming.
ICT: User experiences with e-learning and digital divides.
Social Inquiry: Youth activism and gentrification impacts.
The document concludes by emphasizing the importance of ethico-centric principles, rigorous methodologies, and the vast scope of qualitative research.
Thank you for listening.