Practical Research 2
Methodology– Definition & Purpose
Detailed narrative of how research was conducted
Design, participants, equipment/materials, and participant actions
Must be replicable: another researcher should be able to reproduce the study exactly (Cherry, 2017)p
Research Designs
Declares overall strategy / structure / approach through Qualitative, Quantitative, or Mixed-Methods
Sub-Designs:
Action Research
Grounded Theory
Factorial Design
Mixed-Methods Sequential:
Exploratory Sequential Design (quali→quanti)
Explanatory Sequential Design (quanti→quali)
Action Research – Interactive Quiz Apps
Participatory Action Research (PAR) - Enhances current conditions or processes
Teacher Ms. Reyes sees low hand-raising participation
Intervention: Quiz app (e.g., Bamboozle)
Cycle: Implement → monitor → gather feedback → reflect → adjust
Goal: immediate, context-bound improvement (Koshy et al., 2010)
Mnemonic: “Lets try something new to improve the situation and see if it works”
Grounded Theory – High-School Dropouts
Developing new theories “grounded” in data that is systematically collected and analyzed.
Little prior literature → in-depth interviews with former students
Data analysis reveals themes: financial stress + family pressure ⇒ emergent theory
Mnemonic: “Build theory from real experiences.”
Factorial Design – Cooling of Fluids
All combinations tested ⇒ four experimental conditions. Studies two or more variables at the same time to see how each one affects the other.
factorial: Liquid type (water vs saltwater) × Container material (plastic vs metal)
allows for a total of four experimental groups:
Water in plastic containers
Water in metal containers
Saltwater in plastic containers
Saltwater in metal containers.
This design enables us to analyze not only the effect of each variable individually but also the interaction between liquid type and container material on the cooling rate.
Purpose: study main effects and interaction effects simultaneously
Mnemonic: “Let’s test how different factors work together and separately”
Mixed-Methods Exemplars
1. Exploratory Sequential (QUALI-QUANTI) – Household Food Resilience
QUALI Phase: Student interviews urban-poor families → themes: budgeting, meal-skipping, relief reliance
Instrument Development: Localized Food-Resilience Scale derived from themes
QUANTI Phase: Scale distributed across multiple barangays to measure prevalence
Mnemonic: “Explore first, then measure.” (Berman, 2017)
2. Explanatory Sequential (QUANTI-QUALI)– Safe Spaces Act Awareness
QUANTI Phase: Survey → high awareness but persistent harassment experiences
QUALI Phase: Follow-up interviews to explain discrepancy between awareness and behavior (Draucker et al., 2020)
Mnemonic: “Measure first, then explain.”
Parts of the Methodology
Research Design (already defined)
Context & Participants
Where/when study occurs, demographic traits, sampling method, inclusion rationale
Research Instruments (plus Validity & Reliability)
Surveys, tests, interview guides, observational sheets, etc.
Validity = measuring intended construct; Reliability = internal consistency & stability
Data Gathering Procedure
Step-by-step collection process, consent, ethics
Data Analysis Procedure
Statistical tests (e.g., ) or qualitative coding (e.g., Thematic Analysis)
Covey vs Eisenhower Matrices (Prioritization Tools)
Covey’s Time Management Quadrants (Importance × Urgency)
Q1 Urgent+Important ⇒ Crisis, immediate action
Q2 Not-Urgent but Important ⇒ (ideal focus)
Q3 Urgent+Not-Important ⇒ Delegate/minimize
Q4 Not-Urgent+Not-Important ⇒ Low-priority, eliminate
Eisenhower Matrix (Urgency Focused)
DO NOW (urgent+important)
SCHEDULE (less-urgent+important)
DELEGATE (urgent+less-important)
ELIMINATE (less-urgent+less-important)
Sample Multiple-Choice Review Items
Advantage of participant observation ⇒ C Detailed understanding of context
Crucial interview guideline ⇒ B Keep questions concise & open-ended
Primary purpose of content analysis ⇒ D Analyze textual/visual content
Ethical principle for right to withdraw ⇒ D Voluntary participation
Key item in informed consent ⇒ C Potential risks & benefits
Moderator’s primary role in FGD ⇒ A Guide the conversation
Likert scale purpose ⇒ B Measure attitudes or agreement levels
Two-Phase Data-Collection Workflow
Phase 1 Planning & Preparation
Identify instruments/materials (adopt vs develop)
Determine total population
Compute sample size (use formulas such as )
Identify participants via sampling technique
Compile contact info
Prepare documentation
Letters: permission to conduct, permission for respondents, informed consent, validator requests
Pilot testing, validity by experts, reliability testing (e.g., )
Phase 2 Execution
Finalize instruments after pilot revisions
Distribute consent forms & letters
Administer instruments / conduct experiment
Collect data
Analyze data (stat/quali)
Research‐Related Correspondence
1. Letter of Permission to Conduct Study
Formal request to authority/organization
Contents: study purpose, methodology, benefits, data-protection plan
Formatting cues: use uppercase bold headings, send ≥1 week before data collection, adapt “This School” phrase if external
2. Letter of Permission to Respondents
Explains study purpose & what participation entails
Affirms confidentiality & voluntary nature
Can be embedded in online survey platforms
3. Informed Consent Form
For legal-age participants vs parents/guardians (minors)
Must include:
Study overview, procedures, risks/benefits, confidentiality, right to withdraw, contact info
Signatures / e-consent checkboxes
4. Letter for Research Validators
Sent to expert reviewers to validate instruments
States specific help requested (e.g., “please review observational sheet for measuring tensile strength”)
Approval Workflow & Signatories (Internal vs External)
Documents routed through: Researchers → Research Adviser → Subject Area Coordinator (Social Studies) → Assistant Principal (SHS) → Principal/OIC (final)
External letters require Assistant Principal’s recommending approval + Principal’s final “Approved by” notation
IMRaD
TITLE, AUTHORS, ABSTRACT: searchable metadata
INTRODUCTION
Background, SOP, Theoretical/Conceptual Framework, Significance, Definitions, Scope & Delimitation
METHODS
Research Design
Materials
Context & Participants
Instruments (Validity & Reliability)
Data Gathering Procedure
Data Analysis Procedure
Example Conceptual Framework
Figure 1: Income Level (IV) → Life Satisfaction (DV)
Narrative explains hypothesized influence pathways across life domains
Key Takeaways & Practical Implications
Methodology transparency is essential for replicability and ethical rigor
Mixed-methods designs allow for richer insights by integrating QUAL and QUAN strengths
Action research bridges immediate classroom issues with systematic inquiry
Proper prioritization (Covey/Eisenhower) enables researchers to balance urgent tasks (letters, instruments) with important long-term goals (validity, ethics)
Ethical paperwork (permissions, consent) is not bureaucratic red tape—it safeguards participants and research integrity