Research design ticket
Open your materials, follow the steps, then turn in your work.
Submit a research design ticket that critiques a study and proposes a sound physiology design.
1. Open your materials
Use the materials named in the first step below. Open lesson resources.
2. Start the work
Read a short provided physiology study summary.
Show all 5 required steps
- Read a short provided physiology study summary.
- Critique its design: variables, controls, and limitations.
- Propose how you would design your own study to avoid those flaws.
- State your hypothesis, variables, and planned measurements.
- Submit the Problem 2 research design ticket.
Lost your place? Lost your place? Check whether you have critiqued the provided study's variables, controls, and limitations. If yes, move to proposing your own flaw-free design and stating your hypothesis and measurements; if not, reread the study summary and start the critique.
Check your work before submitting
- You can critique a study's design choices.
- Your proposed design controls variables and is testable.
3. Turn in your work
DueCheck Schoology- Hand in
- Problem 2 research design ticket: study critique identifying variable/control/limitation flaws, plus a proposed sound design with hypothesis, variables, and planned measurements.
How to submit and name your file
Use the submission route shown on today's page.
In Schoology, open your course and the assignment for this lesson. Attach your file, select Submit, and check that it appears in the submission.
PDF upload helpYou get two school days for every day you were absent, so this deadline moves with you.
How this lesson connects
Keep using what you learned last class: You must define your variables and a testable hypothesis first so that your measurements mean something, because an undefined study cannot tell you what actually caused a change. Today: Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
Optional: listen or watch a unit review▸
Need help? Warm-up, timing, and directions▸
💡 Big idea: Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
- 0-10Introduce the study-critique framework: variables, controls, , and limitations
- 10-30Read the provided physiology study summary and annotate design choices
- 30-50Critique: identify variable, control, and limitation problems in the study
- 50-65Propose your own study design that avoids those flaws: hypothesis, variables, and planned measurements
- 65-77Submit the Problem 2 research design ticket
- 77-80Exit check: name the most important design improvement your proposed study makes
- • Today you read a short physiology study summary and pull it apart -- not to criticize, but to learn from its design choices.
- • Every flaw you find in someone else's study is a mistake you will not make in your own.
- • Then you will propose a sound design of your own and document it as your Friday summative.
- • Study-design critique is a direct skill for the Molecular and Genetic Technology and Microbiology Testing strands of WebXam 072125.
- • How to evaluate a study's variable identification, controls, and limitations using named criteria.
- • How the flaws in a study become the design requirements for a better one.
- • What a sound physiology study design looks like when variables are controlled and the hypothesis is testable.
PLTW connection and today's work
Open Problem 2 in your myPLTW course shell and locate the research-design or study-critique activity to review the critique format.
Today's stopping point: The Problem 2 variable and hypothesis work is done; by end of today the study critique and your proposed physiology design should be submitted as the weekly summative.
PLTW activity titles identify the course connection. If your account will not open, use the posted materials for today and tell Mr. Mendoza. Do not mark an online activity complete unless you completed it.
Course connection
- Project 2.1.1 Scientific Research
Use the turn-in directions at the top of this page. Do not create a second submission unless your teacher asks for one.
Show another explanation or a smaller first step
Need help? Choose a starting point
Lesson resources: reading, slides, and vocabulary▸
The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.
Generated from this lesson's canonical data with a red-team citation check.
You must define your variables and a testable hypothesis first so that your measurements mean something, because an undefined study cannot tell you what actually caused a change.
Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
A research team lays out its question, variables, controls, sampling plan, measurement record, and analysis before deciding what the data support.
- Which variable is changed or compared?
- Which conditions and measurements must stay consistent?
- Which conclusion is inside the study's evidence boundary?
Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
A well-organized classroom study can still be limited by , measurement quality, confounding, and the population represented.
- • Question and variable cards map to the study design.
- • Control and measurement cards map to fair, reproducible data collection.
- • The conclusion card maps to a bounded claim supported by the analysis.
Driving question: Given a flawed physiology study summary, can you name exactly what went wrong and turn each flaw into a design rule for your own Problem 2 study?
What you already know: You must define your variables and a testable hypothesis first so that your measurements mean something, because an undefined study cannot tell you what actually caused a change.
New idea: Critiquing another study's flaws makes your own design safer, because every flaw you catch in their work becomes a requirement in yours, so you avoid their mistakes on paper instead of in your data.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Research design ticket. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled system, test, or design relationship and identify which evidence should trigger revision.
- Observe or measure the relevant feature in research design ticket.
- Organize the observation with a stable evidence ID.
- Apply this rule: Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: Given a flawed physiology study summary, can you name exactly what went wrong and turn each flaw into a design rule for your own Problem 2 study?
What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.
What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.
- • hypothesis: A testable, falsifiable prediction about how variables relate, written so an experiment can support it or prove it wrong.
- • : The one factor a researcher deliberately changes in an experiment to test its effect on the measured outcome.
- • : The outcome a researcher measures in an experiment, which may change in response to the variable being tested.
- • control: The comparison condition that isolates the effect of the variable being tested by keeping everything else the same.
- • : The number of subjects or observations in a study; larger samples give more reliable results and reduce the role of chance.
Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.
Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.
A planned study connects its question to defined variables, controls, sampling, measurement, and analysis so the resulting data can support a bounded and reproducible conclusion.
Limit: A statistical difference or trend does not automatically establish practical importance, causation, generalizability, or freedom from bias.
Define variables, controls, sampling, units, and the analysis plan before interpreting a result; analysis cannot repair biased or inconsistent measurement.
Limit: A well-organized classroom study can still be limited by , measurement quality, confounding, and the population represented.
You can critique a study's design choices.
Limit: E3 defines the classroom product or success criterion. It is not independent scientific evidence and cannot justify a clinical or causal claim.
PLTW-BFH-2027-03-02 · Simulated classroom evidence scenario
Your role: biomedical design team member
Decision: Your team must decide what the evidence from research design ticket supports before submitting the exit response named on today's page.
- • Accept the study's conclusion, since the researchers were honest and the data they collected was really measured.
- • Hold your critique until you can point to the exact variable their design left uncontrolled, not just a general doubt.
- • Turn each flaw you found in their research design into a written rule for controlling variables that your own Problem 2 study must follow.
Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the exit response.
Claim ceiling: Today's evidence supports a classroom claim about research design ticket. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Rate or percent = part / comparison total x 100%. Percent change = (new - comparison) / comparison x 100%.
If 18 of 60 records meet a condition, the frequency is 18 / 60 x 100% = 30%.
Name the comparison total. A percent describes the supplied group and does not automatically predict an individual's outcome.
Use today's supplied counts to calculate one rate, risk, frequency, or percent change. Show the denominator and interpretation.
- • The solution must address the stated need in research design ticket.
- • The decision must be supported by E1-E3.
- • The final product must make the success criteria visible.
- • Complete the work inside the 80-minute block.
- • Use only supplied or teacher-approved materials and evidence.
- • Do not trade , accessibility, or privacy for speed.
- • and evidence quality: must pass before scoring other criteria.
- • User need and effectiveness: highest scored criterion.
- • Time, cost, and ease of use: compare only after and effectiveness pass.
Test evidence: For each option, record the E1-E3 result that supports or fails each criterion. Do not assign a score without a named observation.
- Version or option tested
- Criterion met or missed
- Evidence ID and result
- Revision made
- Reason for the revision
- Need and user
- Criteria and constraints
- Chosen option and evidence
- Test result
- Revision and reason
Students often think Students often think a study is trustworthy if the researchers were honest and collected real data, so an honest study must have a valid conclusion.. The trap: That is a trap because honesty does not fix design; an uncontrolled variable can hand you a real, honestly measured number that still answers the wrong question, which is exactly why you critique the design, not the intentions.
1. Decision or claim I am testing: ____
2. Evidence ID and exact observation: ____
3. Second evidence ID and exact observation: ____
4. Rule that connects the evidence to my claim: ____
5. Strongest alternative or tradeoff: ____
6. Limitation or missing evidence that controls my confidence: ____
7. Revision I would make if the missing evidence changed: ____
This model shows the level of evidence and organization needed to complete: A blank structure for organizing the assigned response. It contains no claim, ranking, calculation, data interpretation, or recommendation from today's task.
- Name the prompt or task.
- Answer it directly with the key evidence.
- Check that the response matches the requested format.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Submit the Problem 2 research design ticket on Schoology.
- CER:
- Claim, Evidence, Reasoning: make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure, the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities. Find it in Clever with your Microsoft sign-in, right next to Schoology.
Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.
Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Research design ticket. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.
Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.
Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched ER presentation and physiology bridge by path:Biomedical-Innovations/Problem-1_Emergency-Room/1.1_Emergency-Room; keywords:emergency room, clinical. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Open this when the class reaches this activity and use it to complete the required lesson artifact.
Placement rationale
Matched ER presentation and physiology bridge by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Open this when the class reaches this activity and use it to complete the required lesson artifact.
Placement rationale
Matched ER presentation and physiology bridge by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology; keywords:physiology. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Sign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.
Practice: try a question, then check your answer▸
Claim ceiling for this check: Today's evidence supports a classroom claim about research design ticket. It cannot prove causation, diagnose a real patient, or justify action outside this room.
A study finds a supplement 'raised energy,' but everyone took it right after lunch. What is the design flaw, and what does it do to the conclusion?
Write an answer and pick a confidence to unlock the key.
Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.
Missed class or ready for more?▸
Run this before you touch the bench. It is built from the real lab procedure, so the decisions you make here are the ones you will make with the equipment in your hands.
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
Today is individual work you can do from home: complete the same target above, then submit your Exit ticket.
Go to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy Scientific Method- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedGo to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
This week
My Progress dashboard