M
Minjeong Jeon
Researcher at University of California, Los Angeles
Publications - 83
Citations - 3892
Minjeong Jeon is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Item response theory & Computer science. The author has an hindex of 16, co-authored 67 publications receiving 2920 citations. Previous affiliations of Minjeong Jeon include University of California, Berkeley & Ohio State University.
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Journal ArticleDOI
Redefine statistical significance
Daniel J. Benjamin,James O. Berger,Magnus Johannesson,Magnus Johannesson,Brian A. Nosek,Brian A. Nosek,Eric-Jan Wagenmakers,Richard A. Berk,Kenneth A. Bollen,Björn Brembs,Lawrence D. Brown,Colin F. Camerer,David Cesarini,David Cesarini,Christopher D. Chambers,Merlise A. Clyde,Thomas D. Cook,Thomas D. Cook,Paul De Boeck,Zoltan Dienes,Anna Dreber,Kenny Easwaran,Charles Efferson,Ernst Fehr,Fiona Fidler,Andy P. Field,Malcolm R. Forster,Edward I. George,Richard Gonzalez,Steven N. Goodman,Edwin J. Green,Donald P. Green,Anthony G. Greenwald,Jarrod D. Hadfield,Larry V. Hedges,Leonhard Held,Teck-Hua Ho,Herbert Hoijtink,Daniel J. Hruschka,Kosuke Imai,Guido W. Imbens,John P. A. Ioannidis,Minjeong Jeon,James Holland Jones,Michael Kirchler,David Laibson,John A. List,Roderick J. A. Little,Arthur Lupia,Edouard Machery,Scott E. Maxwell,Michael A. McCarthy,Don A. Moore,Stephen L. Morgan,Marcus R. Munafò,Shinichi Nakagawa,Brendan Nyhan,Timothy H. Parker,Luis R. Pericchi,Marco Perugini,Jeffrey N. Rouder,Judith Rousseau,Victoria Savalei,Felix D. Schönbrodt,Thomas Sellke,Betsy Sinclair,Dustin Tingley,Trisha Van Zandt,Simine Vazire,Duncan J. Watts,Christopher Winship,Robert L. Wolpert,Yu Xie,Cristobal Young,Jonathan Zinman,Valen E. Johnson,Valen E. Johnson +76 more
TL;DR: The default P-value threshold for statistical significance is proposed to be changed from 0.05 to 0.005 for claims of new discoveries in order to reduce uncertainty in the number of discoveries.
Posted Content
Redefine Statistical Significance
Daniel J. Benjamin,James O. Berger,Magnus Johannesson,Brian A. Nosek,Eric-Jan Wagenmakers,Richard A. Berk,Kenneth A. Bollen,Björn Brembs,Lawrence D. Brown,Colin F. Camerer,David Cesarini,Christopher D. Chambers,Merlise A. Clyde,Thomas D. Cook,Paul De Boeck,Zoltan Dienes,Anna Dreber,Kenny Easwaran,Charles Efferson,Ernst Fehr,Fiona Fidler,Andy P. Field,Malcom Forster,Edward I. George,Tarun Ramadorai,Richard Gonzalez,Steven N. Goodman,Edwin J. Green,Donald P. Green,Anthony G. Greenwald,Jarrod D. Hadfield,Larry V. Hedges,Leonhard Held,Teck Hau Ho,Herbert Hoijtink,James Holland Jones,Daniel J. Hruschka,Kosuke Imai,Guido W. Imbens,John P. A. Ioannidis,Minjeong Jeon,Michael Kirchler,David Laibson,John A. List,Roderick J. A. Little,Arthur Lupia,Edouard Machery,Scott E. Maxwell,Michael A. McCarthy,Don A. Moore,Stephen L. Morgan,Marcus R. Munafò,Shinichi Nakagawa,Brendan Nyhan,Timothy H. Parker,Luis R. Pericchi,Marco Perugini,Jeffrey N. Rouder,Judith Rousseau,Victoria Savalei,Felix D. Schönbrodt,Thomas Sellke,Betsy Sinclair,Dustin Tingley,Trisha Van Zandt,Simine Vazire,Duncan J. Watts,Christopher Winship,Robert L. Wolpert,Yu Xie,Cristobal Young,Jonathan Zinman,Valen E. Johnson +72 more
TL;DR: This article proposed to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005, which is the threshold used in this paper.
Journal ArticleDOI
A generalized item response tree model for psychological assessments.
Minjeong Jeon,Paul De Boeck +1 more
TL;DR: A generalized item response tree model with a flexible parametric form, dimensionality, and choice of covariates for modeling item response processes with a tree structure is presented.
Journal ArticleDOI
An Overview of Models for Response Times and Processes in Cognitive Tests.
TL;DR: While it seems well-possible to differentiate rapid guessing from normal problem solving, further decompositions of response times are rarely made, although possible based on some of model approaches.
Journal ArticleDOI
Modeling Differential Item Functioning Using a Generalization of the Multiple-Group Bifactor Model
TL;DR: In this paper, a generalization of the multiple-group bifactor model for categorical outcomes is presented, where the correlations among the specific dimensions are allowed to differ between groups.