Volume 36, Issue 2

June 2020

Special Issue : Standard errors in quantitative criminology: Taking stock and looking forward

Issue Editor:

9 articles in this issue

Standard Errors in Quantitative Criminology: Taking Stock and Looking Forward
Gary Sweeten
Editorial 29 May 2020 Pages: 263 - 272
Outcome Reporting Bias in Randomized Experiments on Substance Use Disorders
Alese Wooditch
Lincoln B. Sloas
Aleisha Key
Original Paper 20 July 2018 Pages: 273 - 293
Type M Error Might Explain Weisburd’s Paradox
Andrew Gelman
Torbjørn Skardhamar
Mikko Aaltonen
Original Paper 18 December 2017 Pages: 295 - 304
p-value Problems? An Examination of Evidential Value in Criminology
Alese Wooditch
Ryan Fisher
Nicole J. Johnson
Original Paper 16 June 2020 Pages: 305 - 328
Interpreting t-Statistics Under Publication Bias: Rough Rules of Thumb
Christopher Winship
Xiaolin Zhuo
OriginalPaper 10 July 2018 Pages: 329 - 346
Clustering and Standard Error Bias in Fixed Effects Panel Data Regressions
Carlisle E. Moody
Thomas B. Marvell
Original Paper 07 May 2018 Pages: 347 - 369
The “Pliability” of Criminological Analyses: Assessing Bias in Regression Estimates Using Monte Carlo Simulations
Matthew P. West
Melissa Rorie
Mark A. Cohen
OriginalPaper 14 November 2018 Pages: 371 - 394
Correction To: Quantifying the Likelihood of False Positives: Using Sensitivity Analysis to Bound Statistical Inference
Kyle J. Thomas
Jean Marie McGloin
Christopher J. Sullivan
Correction 19 May 2020 Pages: 395 - 395
Correction to: Working with Misspecified Regression Models
Richard Berk
Lawrence Brown
Linda Zhao
Correction 10 June 2020 Pages: 397 - 397

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