Scientific integrity: when communicating scientific data to the public
1. (relevant/irrelevant) information interferes with the people's ability to critically consider the underlying logic of the explanation
2. people think the level of higher scientific reasoning is determined by articles (with/ without) brain study images
3. people often understand brain images that illustrate results (correctly/ incorrectly)
4. interpretation of neuroimaging (is/ is not) theory dependent
Scientific integrity: when communicating scientific data to the public
1. (relevant/irrelevant) information interferes with the people's ability to critically consider the underlying logic of the explanation
2. people think the level of higher scientific reasoning is determined by articles (with/ without) brain study images
3. people often understand brain images that illustrate results (correctly/ incorrectly)
4. interpretation of neuroimaging (is/ is not) theory dependent
_= what we think can be found in the brain
ex: attention, semantics, empathy, STM, LTM
brain ontology = what we think can be found in the brain
ex: attention, semantics, empathy, STM, LTM
_= 1. confers credit and has academic, social and financial implications 2. implies responsibility and accountability for published work
autorship = 1. confers credit and has academic, social and financial implications 2. implies responsibility and accountability for published work
criteria for autorship
1. (has/ has not) to contribute to the conception, design, analysis or interpretetion of data
2. (has/ has not) to draft or revise work
3. (has/ has not) to approve the final version
4. (has/ has not) to agree accountable for the work: questions related to accuracy oe integrity need to be investigated
criteria for autorship
1. (has/ has not) to contribute to the conception, design, analysis or interpretetion of data
2. (has/ has not) to draft or revise work
3. (has/ has not) to approve the final version
4. (has/ has not) to agree accountable for the work: questions related to accuracy oe integrity need to be investigated
This is an example of _.
Limbo
Overselling
Post-Hoc story telling
P-value Finishing
Creative outliers
Plagiarism
Non-publication
Partial Publication
Falsification
This is an example of 9 cricles of scientific hell.
Limbo
Overselling
Post-Hoc story telling
P-value Finishing
Creative outliers
Plagiarism
Non-publication
Partial Publication
Falsification
Universities punish behaviors as ?
1. _: making up data and presenting it as real
2. _: falsifying data and covertly rejecting obtained results
3. _: plagiarise publications and results of others
4. _ contributions of other authors
5, _ use of statistical methods
6. _ posing as co-author
7. _ inaccuracies when carrying out research
8. _ misconduct of colleagues
Universities punish behaviors as ?
1. fabrication: making up data and presenting it as real
2. falsification: falsifying data and covertly rejecting obtained results
3. plagiarism: plagiarise publications and results of others
4. deliberately ignoring/ not acknowleding contributions of other authors
5, intentionally making incorrect use of statistical methods
6. falsly posing as co-author
7. commiting attributable inaccuracies when carrying out research
8. allowing & concealing misconduct of colleagues
public perception of science:
- (worries/hope) about the impact of the replication crisis and methodological problems
- (pro/anti) science movements
- there (is/ is no) doubt about basic scientific assumptions
public perception of science:
- (worries/hope) about the impact of the replication crisis and methodological problems
- (pro/anti) science movements
- there (is/ is no) doubt about basic scientific assumptions
- sciencie (is/ is not) theory laden
- observation (is/ is not) determined solely by the object viewed
- perceptual experiences of a skilled observer (are/ are not) the same compared to an untrained observer
- sciencie (is/ is not) theory laden
- observation (is/ is not) determined solely by the object viewed
- perceptual experiences of a skilled observer (are/ are not) the same compared to an untrained observer
observable facts (are/are not) linguistic statements
observable facts (are/are not) linguistic statements
observations are passed through language, not the senses
_= theory can be derived from facts
inductivism= theory can be derived from facts
inductivism
- (is/ is not) problematic because of theory ladenness
- (is/ is not) problematic because of logic of induction
inductivism
- (is/ is not) problematic because of theory ladenness
- (is/ is not) problematic because of logic of induction
_= if a largue number of facts (A) have been observed under a variety of conditions, and all of those facts (A) process the property (B), without exception, then all of those facts have the property (B)
induction principle = if a largue number of facts (A) have been observed under a variety of conditions, and all of those facts (A) process the property (B), without exception, then all of those facts have the property (B)
problems with inductivism:
- we (do/ dont) know how many observations we need
- we (do/ dont) know what counts as significant variation in circumstances
- there (will/ wont) always be exceptions
problems with inductivism:
- we (do/ dont) know how many observations we need
- we (do/ dont) know what counts as significant variation in circumstances
- there (will/ wont) always be exceptions
science is based on (inductivism/falsificationism)
science is based on (inductivism/falsificationism)
Match!
1: Reject H0, but H0 is true
2: Rject H0, and H0 is false
3: Accept H0, and H0 is true
4: Accept H0, but H0 is false
power, significance level, Type I error, Type II error
Match!
1: Reject H0, but H0 is true Type I error
2: Rject H0, and H0 is false power
3: Accept H0, and H0 is true significance level
4: Accept H0, but H0 is false Type II error
power, significance level, Type I error, Type II error