Experimentology
Autor Michael C. Frank, Mika Braginskyen Limba Engleză Paperback – iul 2025
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Specificații
ISBN-13: 9780262552561
ISBN-10: 0262552566
Pagini: 384
Dimensiuni: 203 x 252 x 19 mm
Greutate: 0.95 kg
Editura: MIT Press Ltd
ISBN-10: 0262552566
Pagini: 384
Dimensiuni: 203 x 252 x 19 mm
Greutate: 0.95 kg
Editura: MIT Press Ltd
Notă biografică
Michael C. Frank is the Benjamin Scott Crocker Professor of Human Biology at Stanford University.
Mika Braginsky is a software developer at the Language and Cognition Lab at Stanford University.
Julie Cachia is the cofounder of Flourish Science.
Nicholas A. Coles is Assistant Professor of Psychology at the University of Florida.
Tom E. Hardwicke is a Research Fellow at the School of Psychological Sciences at the University of Melbourne.
Robert D. Hawkins is Assistant Professor of Linguistics at Stanford University.
Maya B. Mathur is Assistant Professor at the Quantitative Sciences Unit at Stanford University.
Rondeline Williams is a PhD candidate in Psychology at Stanford University.
Mika Braginsky is a software developer at the Language and Cognition Lab at Stanford University.
Julie Cachia is the cofounder of Flourish Science.
Nicholas A. Coles is Assistant Professor of Psychology at the University of Florida.
Tom E. Hardwicke is a Research Fellow at the School of Psychological Sciences at the University of Melbourne.
Robert D. Hawkins is Assistant Professor of Linguistics at Stanford University.
Maya B. Mathur is Assistant Professor at the Quantitative Sciences Unit at Stanford University.
Rondeline Williams is a PhD candidate in Psychology at Stanford University.
Cuprins
CONTENTS
PREFACE
I FOUNDATIONS
1 EXPERIMENTS
2 THEORIES
3 REPLICATION
4 ETHICS
II STATISTICS
5 ESTIMATION
6 INFERENCE
7 MODELS
III PLANNING
8 MEASUREMENT
9 DESIGN
10 SAMPLING
IV EXECUTION
11 PREREGISTRATION
12 DATA COLLECTION
13 PROJECT MANAGEMENT
V REPORTING
14 WRITING
15 VISUALIZATION
16 META-ANALYSIS
17 CONCLUSION
CONTENTS
APPENDICES
A INSTRUCTOR’S GUIDE
B GITHUB (ONLINE ONLY)
C R MARKDOWN (ONLINE ONLY)
D TIDYVERSE (ONLINE ONLY)
E GGPLOT (ONLINE ONLY)
PREFACE
I FOUNDATIONS
1 EXPERIMENTS
2 THEORIES
3 REPLICATION
4 ETHICS
II STATISTICS
5 ESTIMATION
6 INFERENCE
7 MODELS
III PLANNING
8 MEASUREMENT
9 DESIGN
10 SAMPLING
IV EXECUTION
11 PREREGISTRATION
12 DATA COLLECTION
13 PROJECT MANAGEMENT
V REPORTING
14 WRITING
15 VISUALIZATION
16 META-ANALYSIS
17 CONCLUSION
CONTENTS
APPENDICES
A INSTRUCTOR’S GUIDE
B GITHUB (ONLINE ONLY)
C R MARKDOWN (ONLINE ONLY)
D TIDYVERSE (ONLINE ONLY)
E GGPLOT (ONLINE ONLY)