Video summary
Español Undécimo Marco metodológico S20 M2
Main summary
Key takeaways
Main ideas and lessons
- The video explains what a methodological framework is in a school research monograph and why it is essential.
- It teaches how to write the methodological framework by organizing it into four main parts (plus an intro and conclusion paragraph).
- It provides definitions and examples for key research components:
- Methodological approach (quantitative, qualitative, mixed)
- Research design (experimental type and type of study), and specifically how a school monograph is typically non-experimental and descriptive
- Population and sample (and how this applies to people or documents)
- Data collection and analysis instruments (tools for gathering data and tools for analyzing it)
Methodology: structure and content to include
1) Methodological approach
-
Specify the type of research you will use:
- Quantitative research
- Focus: numbers and measurable data
- Example logic: surveys where you count preferences, how often a phenomenon happens, or measurable variables.
- Qualitative research
- Focus: understanding experiences and opinions
- Emphasis: the why and how behind behaviors/choices, descriptions, interpretations, and texts.
- Example logic: understanding why students prefer a type of music or how a topic developed over time.
- Mixed research
- Combines both:
- Use numbers for an overview (quantitative),
- Then use stories/interviews/opinions to better explain the results (qualitative).
- Example logic: survey first → interviews afterward to explain reasons.
- Combines both:
- Quantitative research
-
Explain which approach you chose and why it fits your research.
2) Research design
- Describe the experimental design type:
- Experimental
- Quasi-experimental
- Non-experimental
-
Describe the type of study:
- Descriptive
- Correlational
- Explanatory
- Exploratory
-
For a school monograph, the video states:
- It is non-experimental and descriptive
- Therefore, you must explain:
- Why your work is non-experimental
- Why your work is descriptive
Non-experimental (what to write/include)
- No manipulation of variables.
- You observe and collect/analyze existing information.
- Example provided: study whether there’s a relationship between time on social media and grades by surveying and collecting existing data—without changing anything.
Descriptive (what to write/include)
- Focus on describing and detailing characteristics of a situation or group.
- Example provided: describe what a typical high school student’s day looks like by collecting daily activity data and presenting descriptions.
3) Population and sample
Population
- Define the whole set you want information about:
- In general terms: all people/items/texts that share a common aspect relevant to your study.
- Example (party analogy): the entire group at the party.
Sample
- Define the smaller group taken from the population.
- Use it to make predictions or conclusions about the whole population.
- Example (party analogy): select one group of 20 people from the party and check them.
How this applies to the research monograph
- If your research is about a family:
- Population: the whole family
- Sample: 1–2 people from that family (interviewed/observed)
Application to documents
- If you are not interviewing people but analyzing materials:
- “Population” becomes: all available documents on the internet about your topic.
- “Sample” becomes: the specific selected set of documents you will analyze in detail.
What you must explain in this section
- How you selected the population (and what it is)
- What the sample is
- The size of the sample
- A justification/argument for why you chose that specific sample
4) Data collection and analysis instruments
- Explain:
- What tools/instruments you used to collect information
- What tools/instruments you used to analyze it
Examples of instruments for data collection
- Surveys: questionnaires with specific questions distributed to participants
- Interviews: conversations, structured or semi-structured, with individuals or groups
- Observations
- Participatory or passive
- Observing and noting dynamics between people/events/situations
- Tests: tasks measuring skills/knowledge/abilities
- Focus groups: group sessions where participants discuss the research topic
- Analysis guides: charts/rubrics used to record findings during research
Examples of instruments for data analysis
- Comparison charts
- Organizing interview notes/records and analyzing what was said
- Compiling survey data into graphs to analyze results
Writing guidelines emphasized
- Include the methodological framework in a typical length of about 3 to 6 pages.
- Always add:
- a short introductory paragraph
- a short closing paragraph for the methodological framework.
Speakers / sources featured
- Andre (host/presenter)
- Spanish Edber (host/second speaker)
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