Compare two papers fairly
See this course’s project requirements
An evidence folder containing a paper-type note, design map, checked results, corrected claim, two-paper comparison, and a 150–250-word evidence brief.
Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.
What to include
- Identify publication type, specific question, and scope for P1.
- Map the design and check all rates with their denominators.
- Correct the overclaim and compare P1 with P2.
- Write the final brief with evidence IDs, limitations, and a useful next test.
Review and revise
Use these criteria to check your work and choose what to improve.
- Calculations and units match the supplied counts.
- Design descriptions separate assignment, recruitment, and measurement.
- Claims stay within tested populations and outcomes.
- The synthesis preserves disagreement and labels all practice data fictional.
Want more background?
The idea in everyday life
Original fictional paper P1, “Signs and Sorting”: research question—do picture labels change sorting accuracy at one campus recycling station? Methods—40 volunteers randomly assigned to picture labels or text labels, 20 per group, one supervised session, identical items. Results—picture group 16/20 correct; text group 12/20 correct. Discussion—picture labels may help in this setting; volunteers and one session limit broader conclusions. No uncertainty interval or replication is supplied. This is a teaching example, not a published study. Fictional P2: 100 museum visitors use picture or text labels in different weeks without random assignment; 40/50 correct with pictures and 38/50 with text; different items and staffing between weeks; one public museum. P2 reports no uncertainty interval.
Two results can differ because the studies asked different questions.
Compare two papers fairly: guided practice
Two results can differ because the studies asked different questions.
Use paper or a free local text editor. This is an original fictional practice case; do not submit its records to a real service. Start this lesson with these facts, even if an earlier variation changed them. Original fictional paper P1, “Signs and Sorting”: research question—do picture labels change sorting accuracy at one campus recycling station? Methods—40 volunteers randomly assigned to picture labels or text labels, 20 per group, one supervised session, identical items. Results—picture group 16/20 correct; text group 12/20 correct. Discussion—picture labels may help in this setting; volunteers and one session limit broader conclusions. No uncertainty interval or replication is supplied. This is a teaching example, not a published study. Fictional P2: 100 museum visitors use picture or text labels in different weeks without random assignment; 40/50 correct with pictures and 38/50 with text; different items and staffing between weeks; one public museum. P2 reports no uncertainty interval.
1. Build a comparison
Create rows for population, assignment, setting, task, and outcome.
You should see: P1: campus volunteers/random assignment/identical items. P2: museum visitors/different weeks/different items and staff.
Comparison starts with design rather than counting which result looks larger.
2. Calculate P2
Convert P2 counts and compare its rates.
You should see: P2: 80% versus 76%; 4 percentage points.
The same units make the observed differences comparable.
3. Explain possible disagreement
List at least two reasons the differences need not match.
You should see: Different populations and settings; week-related differences; different items and staffing.
Variation in methods can explain variation in observed results.
4. Write a synthesis
State one shared pattern and one unresolved question.
You should see: Both samples have higher observed picture-label accuracy; the size and transportability of any effect remain uncertain.
Synthesis preserves agreement without pretending identical evidence or certainty.
What to finish
Compare two papers fairly record with the worked decisions and changed-case check.
Watch for this
Counting papers without checking whether their data, methods, and questions are comparable.
How can I tell I understand it?
Compare study features before interpreting apparently different results. Explain the evidence behind the result and correct any mismatch.
Quick knowledge check
Answer all 3 questions. Get at least 2 right and the lesson completes automatically.
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Pass the check. We’ll save the progress.
Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.
Go to the knowledge checkOptional course overview video · same video as Lesson 1
How to Read a Scholarly Article
From libncsu. Watch here or open it on YouTube .
Optional course overview. Follow the written steps below at your own pace.Tools, templates, and lesson sources
Tools and templates
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Sources and further reading
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Source & access notes · checked 2026-09-12
Inspected article types, preprints, methods/results emphasis, and active reading guidance.
Access: Public page or PDF inspected without payment or institutional sign-in on September 12, 2026. Optional external accounts are unnecessary for this course.
Reuse: Link and original paraphrase only. Public access does not grant blanket reuse; no provider text, figures, or exercises are reproduced.
Source & access notes · checked 2026-09-12
Inspected primary-versus-review distinction, methods mapping, results-versus-interpretation, and reading limits.
Access: Public page or PDF inspected without payment or institutional sign-in on September 12, 2026. Optional external accounts are unnecessary for this course.
Reuse: Link and original paraphrase only. Public access does not grant blanket reuse; no provider text, figures, or exercises are reproduced.
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