1impediments of cimmunicating scientific results
excess significance bias
underpowered studies
no replication work done
data analyses , protocols not publicly available
2publication bias
more likely to report statistically significant results than are studies that report a nonsignificant conclusion, especially for smaller studies
3selective reporting bias
when results from scientific research are deliberately not fully or accurately reported, in order to suppress negative or undesirable findings
4reviewer bias
violation of impartiality in the evaluation of a submission
5fabricated results
making up data or results and recording or reporting them
6Case study : **Journal of Serendipitous and Unexpected results**
salmon study
aim to show that some scientists are too excited baout research methods
the results might not be reliable as they depend on the measure used
salmon was scaned in fMRI and the images showed that it does indeed have a correlation even withour a possibility at peprspective taking
7Lancet psychiatry needs to retract ADHD brain scan study
study provides evidence of individuals with ADHD have altered smaller brains
however ther as some important shortomings on the part of the reserchers
conclusion due to "effect size"
8higher IQ in ADHD study
mean IQ in ADHD indivduals was at least equal or higher than control group
however these findings were not published
in order to see table of IQ results 30 odlas had to be paid
9reprecusions of not publishing IQ results
why did they not publish these results and instead they published some false informatio on brain size
after people asked they renewd data on IQ to show no signifiance
10philosophical pov
if we assume mindrain are related, we will find differences between people with ADHD and control groups
need to overcome the nature/nurture dichotamy
11Communicating neuroscientific data to the public experiment
3 control groups
1. scientists
2. PhD students
3. control
12Communicating neuroscientific data to the public task
given a study to examine with different 4 explanations
2 good ( neuroscientific/non neuroscientific)
2 bad ( neuroscientific / non neuroscientific)
13Communicating neuroscientific data to the public conclusion
even if the neuroscientific example was not relevant at all to what they were talking, the non espert group considered it more "correct" than the explanation without
14picture difference in credibility
articles with images had higher ratings of scientific reasoning considered more true than the ones without
reserch lies in the presuasive power of the actual brain images
15why pictures make a difference
influentia beacuse they provide physical basis
people like simple efforts but more pictures does not equal more credibility
16problem of image vs photo
there is a difference between photo ( photo of what actually there is e.g. a tree) and image ( capute of what is happening which does not alwys show exctly what we see)
we do not actually undertand brian images as they have a lot of characteristics
17**what to ask ourselves before communicating findings ?**
1. do we need to bother people with the intricacies of scientific research?
2. do we need to communicate our teoretical assumpotions and metodological doubts and uncertinities
3. if there is "dirty laudry": should we go public ? what about funding ?
4. what can we promise ? does science need marketing?
18interpretation problem
how we interpert data is alweys be in terms of what our own theoretical perspective is
19what we need to pay attention to
a lot of times 'data consistent' with hypothesis → but is it also consistent with null hupothesis?
it is not enough for the data to be 'consistent' with the hypothesis
we need to asses probability of the data conditional on the null hypothesis
( in this case : mechanisms responsible for face perception aren't specialized or localized)
20overpromissing
he publish or perish culture
pressure to publish brought different scientists to publish more with less quality
21overpromissing case study
"Dr. Max published 138 papers in a year ( one every two days )
his PhD students would write his name as well on the papers, not actually good studies
therfor now we need to say which participant did which part of the papers we publicate
reviewer process has been installed as well
22**" the nine circles of sceintific hell "**
pape written as humorous outake on the fate that awaits scientists that will sin agains best practice
each of the 9 layers is a worst and worst action against publication with last being falsification and the top being the " limbo ": awarding or accepting the ones who do worst
23The 'Stapel' case
found 55 cause of fraud and 10 highly probable fraud since 2004
this cause damage in multiple sites :
co
24authors especially PhD students
faith in science
the reputation of the universities that took part in such publications
25The violations considered after the Staple case
1. Fabrication : entering fictiotious data
2. Falsification : falsyfing data and/or rejecting research results obtained
3. Plagiarism : plagiarise publications and respults of others
4. Deliberatly ignoring or not acknowledging contributions of other authors
5. Falsely writing name as author
6. Intentionally making incorrect use of methods and/or intentionally interpreting results incorectly
7. commiting attributable inaccuracie whn carrying out research
8. allowing and conciling misconduct to collegues
26The Netherlands code of conduct for scientific practice
1. Scrupulousness (unaffected by mounting pressure to achieve )
2. Reliability
3. Verifiability
4. Impartialioty
5. Independece
27What is the public perception of science ?
worries about impact of the replciation crisis and methodological problems
anti
28scietific movements and doubt about most basic findings
common misconception that science is "derivated form facts"
29the three underlying assumptions : (problematic)
1. facts are dicetly given to careful, unprejudiced observers via the senses
2. facts are prior and independent of theory
3. facts constitute a reliable foundation for scientific knowledge
30**Is seeing beliveing?**
observation is not determined soley by the object view
the skils and observer has are not identicalto a novice , this changes perveption
e.g. if not trined to see a tumor you can look at an X ray and not see anyting
31Gallileo's tower argument
if the Earth moves and you drop a stone form the top of a tower it should strike the ground some distance from the tower
everyday obervations shows that it is wrong
we need theory mediated observations to prove
32**Obervable facts are expressed as a linguistic statements**
need to distinguish fascts as statemnts about states of afairs FROM states of affairs and FROM percetions of those facts
botanish will go in a garden and see a lot of things that we cannot
need **language and expirince** to be able to do so
33Science is "theory laden"
scientific observations are based on expirince, knowledge and expectations of the observer
there are a lot of theories that are non observable entitis, they can only be explained and predicted
acknowledgeing the role of the theory is not problematic
34**Inductivism**
=theory can be logically derived from facts
35is inductivism good ?
problematic to claim that scientific knowledge is derived form facts
36exmapel
1. Metal X expands in heath
2. Metal Y expands in heath
3. Metal Z expands in heath
= all metals expand in heat = not a valid argument ( premisis is true but conclusion is not )
37*the induction principle ( how to generalize form observable laws)*
1. lange nr of A's have been observed under
2. a wide vareity of conditions and if all of those A's
3. without exception posses the porperty B, then all A'd have the property B
38problems with inductivism :
1. cannot account for unobservable entities postulated by contemporary science
2. observation emasures is imprecise and inexact
3. we cannot justify the induction prinicple
39how to solve inductivism problem ?
falsification