Video summary

Español Undécimo Marco metodológico S20 M2

Main summary

Key takeaways

Educational

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.
  • 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:
    1. What tools/instruments you used to collect information
    2. 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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