Reading, Writing, and Presenting Research – Lecture 6
Effective Scientific Communication
Four core “F-factors” every piece of scientific communication should satisfy
- Foundation
- Think like a scientist → connect to prior empirical work & theory
- Formulate a clear central research question / thesis before anything else
- Fidelity
- Uphold research ethics, methodological rigour, and transparency
- Be clear, honest, direct; avoid misleading language or visuals
- Framing
- Build a strong argument & compelling narrative
- Organize ideas to maximize audience impact
- Format
- Match content to context (journal article, talk, poster, press release, etc.)
- Adopt appropriate scientific style & tone; respect discipline-specific conventions
Competencies effective communicators need
- Academic writing (journal articles, theses, grant proposals)
- Talks & posters for conferences
- Collaborating with peers/colleagues (memos, preregistrations, OSF pages)
- Explaining work to non-scientists, journalists, policy makers
Example of communication failure → misleading COVID-19 cumulative testing bar chart
- Bars showed ever-increasing total tests; visually implied improving capacity
- Linearly rising cumulative series actually reflects no improvement in daily testing rate
- Lesson: design choices can distort interpretation (graphical integrity)
Structure of a Typical Primary-Source Article
Abstract – miniature version of the entire paper (objectives, methods, key results, conclusions)
Introduction – funnel from broad topic to specific gap; ends with purpose / hypotheses
Methods – enough detail to replicate (participants, design, materials, procedure, analyses)
Results – objective statistical outcomes without interpretation (tables & figures here)
Discussion – interpret results, situate in literature, note limitations, future directions, broad implications
Extra front/back matter: title, authors/affiliations, COI & funding statements, data‐availability, reference list
Confirmatory vs. Exploratory designs
- Confirmatory: pre-specified, theory-driven hypotheses, fixed analyses (↑ replicability, ↓ researcher degrees-of-freedom)
- Exploratory: flexible, pattern-searching, theory-generating but ↑ bias risk
APA Writing
Two complementary facets
- Technical mechanics (APA 7)
- Headings hierarchy, line spacing, page numbering, font (e.g., 12-pt TNR), indentation
- Rules for abbreviations, numerals vs. words, punctuation, statistical reporting, citations
- General scholarly writing skills
- Continuity & flow, word choice, concision, tone, logical organization
APA ≠ only style; e.g., Vancouver style (numeric in-text, biomedical journals)
Why learn APA?
- Required for current assignments, later coursework, theses, manuscripts
- Emphasises clarity over technical trivia—communication > pedantry
Continuity & Flow
- Continuity = logical consistency across text; Flow = smooth cadence of sentences
- Use transitions: time ("after"), cause-effect ("therefore"), addition ("moreover"), contrast ("however")
Concision
- Remove “weasel” words (really, actually), redundant pairs (hope and trust), obvious fillers (end result), verbose negatives ("not many" → "few")
- Vary sentence & paragraph length; avoid both run-ons and telegraph style
Tone & Word Choice
- Direct, professional, engaging
- Prefer precise verbs (demonstrates vs. suggests vs. implicates)
- Limit jargon unless essential; translate “therapeutic intervention provider” → “therapist”
Active vs. Passive Voice
- Active clearer and shorter but passive acceptable when actor unimportant or known, or for stylistic variation
- Beware using passive merely to hide responsibility
Common Latin Abbreviations (scholarly shorthand)
- e.g., – for example
- i.e., – that is / in other words (precise clarification)
- cf. – compare (to contrast viewpoints)
- etc. – and so forth (continuing list)
Statistical Reporting Example
- Proper APA sentence:
“There was a statistically significant negative correlation between anxiety symptoms and wellbeing, r = -.53,\; p < .01.”
- Includes test statistic (r), effect size, p-value, and sign/direction
Key APA-7 Student Paper Formatting Changes
- No running head; add course name, instructor, due date under title
- Otherwise keep double spacing, 1-inch margins, page numbers, left-aligned first-line indents
Visualizations
- Not all visuals are helpful; cluttered “brain infographic” undermines comprehension
- Figures assist readers when they:
- Highlight direct comparisons (e.g., Bushman & Gibson 2011 bar plot of experimental conditions)
- Combine stimuli depiction + results (Taylor et al. 2015) to link task and outcome
- Clarify complex multi-task methods (Jeon et al. 2012 visual battery)
Principles of Good Data Visualization
- Graphical integrity: Represent data honestly (avoid truncated axes, disproportionate shapes)
- Match graph type to data & message (see “Which graph should I use?” cheatsheet)
- Design for accessibility (color-blind-safe palettes, double encoding by shape & color)
- Encourage correct cognitive takeaway; minimize extraneous ink
Classic Demonstrations
- Anscombe’s quartet: datasets with identical but radically different scatter patterns → visualize the data!
- Climate y-axis stretch example: small change magnified to communicate urgency correctly when scale is contextually justified; conversely dishonest when used to exaggerate Obamacare enrollment growth.
- Scale distortion pitfalls shown with IQ, depression scores, body temperature graphs (truncated axes change perceived differences)
- Assumed linearity example: plotting pre/post treatment without revealing curvilinear trend misleads
Accessibility Example
- Scatterplot encoded by both shape & hue; Photoshop simulation of protanopia demonstrates importance of redundant coding
Multiple Interpretations of Same Numbers
- Forgetting-rate illustration
- Raw difference: both groups forgot percentage points
- Proportional loss: High learners lost vs. Low learners
- Endpoint comparison: High learners still remember more (50 % vs 40 %)
- Moral: choose metric that aligns with your research question and explain it explicitly
Graph Selection Cheatsheet
- Line chart → trends over ordered dimension (time, dosage)
- Bar chart → discrete categories & counts/means
- Histogram → distribution of continuous variable
- Scatter plot → bivariate correlation
- Violin / Box plot → distribution shape & group comparisons
- Heatmap → matrix of many correlations or intensities
- Pie chart → parts-of-whole (use sparingly due to angle decoding difficulties)
Posters & Talks (implied under Format)
- Use same F-factor principles
- Posters: rely heavily on visuals → keep text minimal, narrative flows left-to-right/top-to-bottom
- Talks: slide deck should guide, not repeat, spoken narrative; design graphics for viewing distance
Ethical & Philosophical Implications
- Transparency = moral obligation (show methods, data, analysis decisions)
- Misleading visuals or opaque prose violate scientific integrity, hinder reproducibility, misinform public
Practical Connections & Resources
- University of Toronto Writing Centre, OWL Purdue, UTSC TWC handouts (punctuation, active/passive, transitions)
- Twitter threads (e.g., @callin_bull, @philipcball) illustrate real-world critique of poor visual communication
- Writing comics (Tom Gauld) remind us that impenetrable language defeats purpose
Assignment Reminder
- Assignment 1 due TODAY by 11:59 PM (per Announcements slide)