flagship course
Research Methods and Applied Inquiry
Frame questions, collect and analyse evidence, and report findings clearly and ethically, so that decisions in a school, shop, clinic or small firm rest on data and not on guesses.
about this course
What you will be able to do
Frame questions, collect and analyse evidence, and report findings clearly and ethically, so that decisions in a school, shop, clinic or small firm rest on data and not on guesses.
- Define a research question that can be answered with data.
- Apply sampling and data collection methods.
- Analyse data with simple counts, averages and charts.
- Evaluate sources, bias and the limits of a study.
- Create a ten-page report with a clear recommendation.
Task, condition and standard
Task
Complete a small applied study with at least 60 responses and write a ten-page report.
Condition
About 10 weeks part-time. A real local topic, a computer with a spreadsheet, a phone for calls, a mentor.
Standard
The question is answerable; the method and sample are described; consent is recorded; data is cleaned and analysed; limits are stated; every claim in the report links to a number.
Who it is for: Students, analysts, teachers, programme staff, shop and clinic managers. Requirements: Basic arithmetic and the ability to read a table. Materials: lesson text, templates, rubric, check with answers.
lesson by lesson
8 modules with worked examples
Module 1 Frame a question 4 hDefine
- Start from a decision someone must make, then ask what evidence would help.
- Write the question so it names who, what and where, for example: how many households in ward 12 buy water cans each week.
- Split a broad topic into two or three small questions.
- Reject questions that need opinion words such as best or good unless you define them.
Activity. Rewrite three broad topics as answerable questions.
Standard to meet. Name the group, the measure and the place in each question.
Module 2 Review existing evidence 4 hAnalyse
- Search for official statistics, past surveys and local reports before collecting new data.
- Note who wrote each source, when, and how they collected data.
- Prefer recent sources with a stated method and sample size.
- Keep a source table with title, year, finding and weakness.
Activity. Build a source table of six sources for your question.
Standard to meet. Record year, method, finding and one weakness in each row.
Module 3 Choose a design and sample 5 hApply
- Match the method to the question: counts need a survey, reasons need interviews, change needs a before and after.
- Define the population and a sampling frame, such as a list of 400 customers.
- Pick a random sample by drawing numbers, not the first people you meet.
- Decide sample size: about 80 of 400 gives a rough but useful picture.
Activity. Write a one-page design with a sample plan.
Standard to meet. State the population, sample size and selection method.
Module 4 Build the instrument and consent 5 hCreate
- Write each survey question with one idea and simple words.
- Offer answer choices that do not overlap, such as 0, 1 to 2, 3 or more.
- Pilot the form with five people and fix confusing items.
- Prepare a consent note that explains purpose, voluntary taking part and how data is kept private.
Activity. Produce a 10-question survey and a consent note.
Standard to meet. Pilot changes are logged and consent wording is plain.
Module 5 Collect data carefully 5 hApply
- Record each answer on the day in a table with an ID, not a name.
- Check forms for blanks while the respondent is still present.
- Keep a log of refusals and unreachable people.
- Store files in a locked folder and delete phone numbers after the study.
Activity. Collect at least 60 responses and keep a response log.
Standard to meet. Calculate the response rate and list the non-responses in the log.
Module 6 Clean and analyse data 6 hAnalyse
- Remove duplicates, fix typing errors and mark missing values, keeping the raw file untouched.
- Count each answer and turn counts into percentages.
- Compute the average and the middle value; use the middle value when a few answers are very large.
- Compare two groups with a simple table and a bar chart.
Activity. Analyse your data and make two charts.
Standard to meet. Keep the raw file, check figures against a recount and label the charts.
Module 7 Judge bias and limits 4 hEvaluate
- List sources of bias: who was missed, who refused, how questions led.
- State what the study cannot show, for example that two things moving together does not prove one causes the other.
- Give a margin: with 62 answers a 50 percent result could reasonably be 12 points either way.
- Check the findings against past evidence.
Activity. Write a half-page limits section.
Standard to meet. Name at least three limits with their likely effect.
Module 8 Capstone: applied study report 6 hCreate
- Write the ten-page report: question, method, results, limits, recommendation.
- Lead with a one-paragraph summary of the answer.
- Use plain words, labelled charts and a source list.
- Present for 10 minutes and answer questions.
Activity. Submit the report and present it.
Standard to meet. Link every claim to a number, state the limits and make the recommendation follow the data.
assessment
How you are checked
Evidence: the work product from each module, kept in one folder with dates. A mentor and two peers mark it with this rubric. Pass: no criterion at 'Not yet'.
| Criterion | Not yet | Meets | Exceeds |
|---|---|---|---|
| Question and method | Missing or unclear | Meets the stated check | Answerable question, random sample and tested instrument |
| Analysis | Guessing | Evidence kept | Correct figures, honest limits and clear charts |
| Records | Gaps | Complete | Complete and reviewed by a peer |
| Safety and ethics | Overlooked | Followed | Followed and taught to others |
Ten-question check, with model answers
Q1. What makes a research question answerable?
Model answer: It names who, what and where, and can be answered with data you can collect. (Covered in module 1: Frame a question. To pass that module: Name the group, the measure and the place in each question.)
Q2. Why read past evidence first?
Model answer: It saves effort, shows what is already known and sharpens your question. (Covered in module 2: Review existing evidence. To pass that module: Record year, method, finding and one weakness in each row.)
Q3. Why prefer a random sample to asking whoever is nearby?
Model answer: It reduces selection bias so the sample looks more like the population. (Covered in module 3: Choose a design and sample. To pass that module: State the population, sample size and selection method.)
Q4. Why run a pilot?
Model answer: To find confusing questions before they spoil the real data. (Covered in module 4: Build the instrument and consent. To pass that module: Pilot changes are logged and consent wording is plain.)
Q5. What is a response rate?
Model answer: The share of chosen people who actually answered. (Covered in module 5: Collect data carefully. To pass that module: Calculate the response rate and list the non-responses in the log.)
Q6. When is the median better than the mean?
Model answer: When a few extreme values pull the mean away from the typical case. (Covered in module 6: Clean and analyse data. To pass that module: Keep the raw file, check figures against a recount and label the charts.)
Q7. Why state limits in a report?
Model answer: So readers know how far to trust the findings. (Covered in module 7: Judge bias and limits. To pass that module: Name at least three limits with their likely effect.)
Q8. What proves a report is sound?
Model answer: Claims match the data, the method can be repeated and limits are honest. (Covered in module 8: Capstone: applied study report. To pass that module: Link every claim to a number, state the limits and make the recommendation follow the data.)
Q9. What is informed consent?
Model answer: Taking part freely after understanding the purpose and use of the data. (Covered in: Task, condition and standard, near the top of this page.)
Q10. Why keep the raw data file untouched?
Model answer: So any cleaning can be checked and repeated. (Covered in: Task, condition and standard, near the top of this page.)
seven levels
Your ladder, L1 to L7
This course sits at L4 Practitioner. Each level adds to the one below.
- L1 Basic. Read simple tables and charts.
- L2 Awareness. Explain a research question and a sample.
- L3 Foundation. Run a small survey under guidance.
- L4 Practitioner. Design and analyse a study alone.
- L5 Specialist. Judge bias and review the studies of others.
- L6 Advanced. Lead research for a team or programme.
- L7 Super expert. Set research standards and train others.
Slide by slide
Seven slides, one per level. Open each for the slide text and the speaker notes.
Slide 1 L1 Basic: Reading tables and charts
Read 5 simple tables and charts, stating the highest value, the lowest value and one clear finding for each without error.
Speaker notes. Teacher gives a bar chart of monthly sales and asks for the top month and the gap to the lowest. Covered in module 6, Clean and analyse data.
Slide 2 L2 Awareness: Question and sample
Explain a research question and a sample in plain words, and judge 3 samples as fair or biased with one reason each.
Speaker notes. Teacher offers a sample of only shop owners near the road and checks the learner spots the bias. Covered in modules 1 and 3.
Slide 3 L3 Foundation: Guided small survey
Run a survey of 20 people under guidance using an 8-question form, with consent noted and every answer entered in a sheet. Check local rules with an expert on data.
Speaker notes. Teacher checks the consent line on the form and the 20 complete rows. Covered in module 4, Build the instrument and consent.
Slide 4 L4 Practitioner: Own study and analysis
Design and run a study alone with a clear question, a sample of 30 or more and a table of results with averages and one chart.
Speaker notes. Teacher reruns one average from the raw file and checks it matches. Covered in module 6, Clean and analyse data.
Slide 5 L5 Specialist: Bias review of studies
Review 3 studies of others with an 8-point bias checklist and write which findings can be trusted, and why, in under 300 words.
Speaker notes. Teacher checks each study has a score and at least one limit named.
Slide 6 L6 Advanced: Research programme lead
Lead a team of 3 through a research programme with a plan, a task board and a data file kept clean, delivering a report by the agreed date.
Speaker notes. Teacher checks the raw data is unchanged and the cleaning steps are logged.
Slide 7 L7 Super expert: Research standards training
Write a standards guide covering consent, data storage and reporting, and train 5 researchers until each passes a 10-point audit of their own study.
Speaker notes. Teacher audits one study against the guide. Check local rules with an expert on data.
jobs this leads to
Where this takes you
- Research assistant
- Data analyst
- Survey coordinator
- Programme monitoring officer
- Market researcher
ten locations and global
Your place
Local rules change licences, data handling, pricing words and names of bodies. Check them for your place before you act.
India (Bengaluru)
Language: English, Hindi, Kannada. Currency: INR. Data rule for what you publish: Digital Personal Data Protection Act 2023. Skills frame to cite: National Skills Qualifications Framework (NSQF) and the national credit framework.
Netherlands (Eindhoven area)
Language: Dutch, English. Currency: EUR. Data rule for what you publish: EU GDPR (Dutch: AVG), supervised by the Autoriteit Persoonsgegevens. Skills frame to cite: the Dutch qualification framework (NLQF) linked to the European Qualifications Framework.
UAE (Dubai and Abu Dhabi)
Language: Arabic, English. Currency: AED. Data rule for what you publish: Federal Decree-Law No. 45 of 2021 (personal data protection). Skills frame to cite: the emirate education and training regulators (for example KHDA in Dubai) and the national qualifications framework.
Brazil (Sao Paulo)
Language: Portuguese (Spanish and English support). Currency: BRL. Data rule for what you publish: LGPD (Lei Geral de Protecao de Dados). Skills frame to cite: the national technical-education catalogue and the national S-system training bodies.
Canada (Toronto)
Language: English, French. Currency: CAD. Data rule for what you publish: PIPEDA, with provincial rules where they apply. Skills frame to cite: the provincial colleges framework and the national credential-recognition guidance.
United States
Language: English, Spanish. Currency: USD. Data rule for what you publish: state privacy laws (for example California), and COPPA for children under 13. Skills frame to cite: state and community-college credit systems.
Singapore
Language: English, Mandarin, Malay, Tamil. Currency: SGD. Data rule for what you publish: Personal Data Protection Act (PDPA). Skills frame to cite: the Singapore national skills frameworks and the national credit system.
Australia
Language: English. Currency: AUD. Data rule for what you publish: the Privacy Act 1988 and the Australian Privacy Principles. Skills frame to cite: the Australian Qualifications Framework (AQF) levels.
Hong Kong (Eastern Asia)
Language: Chinese (Cantonese, Mandarin), English. Currency: HKD. Data rule for what you publish: the Personal Data (Privacy) Ordinance. Skills frame to cite: the Hong Kong Qualifications Framework.
Georgia and Israel (Western Asia)
Language: Georgian, Hebrew, Arabic, English. Currency: GEL or ILS. Data rule for what you publish: the personal data law of the country where the learner lives. Skills frame to cite: the national qualifications framework of that country.
Cayman Islands (Caribbean)
Language: English. Currency: KYD. Data rule for what you publish: the Data Protection Act. Skills frame to cite: the local education and training framework.
Mexico
Language: Spanish, English. Currency: MXN. Data rule for what you publish: the federal law on personal data held by private parties. Skills frame to cite: the national competency certification system and the education ministry levels.
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Draft
Draft flagship. Own wording. Not live.