Part III: Forensic meta-science methods
17
Data extraction methods
✎ Outline
Trustworthiness Assessment
Introduction
Lesson plan
✎ Outline
Part I: Conceptual foundations
1
Scope and need
✎ Outline
2
Psychological preparation
✎ Outline
3
Organising principles
✎ Outline
Part II: Understanding statistics
4
Understanding
p
-values
✎ Draft
5
Understanding Standardized Mean Differences (Cohen’s
d
)
✎ Draft
6
Standard Deviations vs. Standards Errors
✎ Draft
Part III: Forensic meta-science methods
7
Misinterpretation methods
✎ Draft
8
Effect size methods: SMD/Cohen’s
d
✎ Draft
9
Repetition and consistency methods
✎ Outline
10
(Re)calculation methods
✎ Draft
11
Granularity methods
✎ Draft
12
Bounds methods
✎ Outline
13
Reconstruction, resampling, and simulation methods
✎ Outline
14
Design methods
✎ Outline
15
Measurement methods
✎ Outline
16
Theory specification methods
✎ Outline
17
Data extraction methods
✎ Outline
Part IV: Organising critique
18
Critiquing specific types of articles
✎ Outline
19
INSPECT-SR
✎ Outline
20
Organising critique
✎ Outline
21
Reflexive critique
✎ Outline
Part V: Developing and validating forensic methods
22
Forensic meta-science methods require validation
✎ Outline
23
Method, implementation, and tool
✎ Draft
24
Validating meta-science methods using simulated data
✎ Outline
References
Table of contents
17.1
WebPlotDigitizer
17.2
Contacting authors
Part III: Forensic meta-science methods
17
Data extraction methods
✎ Outline
17
Data extraction methods
✎ Outline
17.1
WebPlotDigitizer
Extracting data from published figures using WebPlotDigitizer
17.2
Contacting authors
Asking for scatter plots, frequency plots, etc.
Requesting data or additional information to support trustworthiness assessment
16
Theory specification methods
✎ Outline
18
Critiquing specific types of articles
✎ Outline