1. Università degli Studi di Macerata
Scientific Writing
Alessandra Fermani
Università degli Studi di Macerata

2. A.P.A (in Dep.) scopus (in Dep) (IF, citated-mencioned, referee blind, find researchers, dissemination, garantee, security) psychinfo (no in Dep) sage (in Dep.) TKS Prof. Pietrobon Duke University

3. Structure vs. content
Structure = rhetoric (you want to exercise influence in your researchers target)
Content = the specific topic we are talking about

4. Global Italian Global Italian What it is not the opposite direction
dialect
series of iterations
a ton of work
less work for copyeditor
What it is not
automated translation only

5. Active voice in simple structure
Subject - verb - object
Avoid passive, even in scientific writing ... but there are exceptions
No twisted sentences with subject-verb separation
Principle
readers have a limited amount of cognitive capacity to spend
if the underlying structure is what they already expected, then their attention and memory can focus on content

6. Short sentences
Rule of thumb: If you're beyond 1.5 lines in a google doc you are probably going too far
Easier to handle and harder to get out of control

7. Flow among sentences Connect sentences to create a flow
Sense of narrative
"Evidence strongly suggests that humans in all cultures come to cast their own identity in some sort of narrative form. We are inveterate storytellers." Owen Flanagan (Duke)
Your article is a «novel»

8. Stress position
Leave the most important thing at the end of the sentences -- that's what readers tend to remember .
Recency effect

9. What to do when there is no agreed upon standard?
Determine your target journal
Look for a similar article
Determine its structure
Prospect Theory

10. But standards are not necessary
Arguments
if it makes sense it is good
I want to be free
It restricts my creativity
...
people are different, this is not the best solution or system, but it is good…but works

11. Recapping Introduction Discussion Structure
saving memory and attention
social agreement

12. START Workflow Intro, Methods, mock tables and figures
Data and analysis
Complete article
START

13. Introducing a topic A recipe - formula significance fill a gap
find literature review in support of the gap
objective

14. Methods and Results aim method: sample,procedure, questionnaire (scale; alpha) software and analysis (create, make PCA/EFA, correlation, regression, ANOVA , cluster, equation etc…) describe objective results

15. Discussion Presenting evidence Discussing explanations
Managing your project
followup.cc
gcalendar

16. Discussion structure
Novelty claim and summary – pretesa novità e sintesi
Explanation about each result
Limitations
Future - research and implementation
Educational and pratice implications
Exercises