Never Waste a Good Crisis

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A01=Klaas Sijtsma
academic integrity
Author_Klaas Sijtsma
Backward Stepwise Regression
Bayes Factor
Bayesian Statistics
Benford's Law
Benford’s Law
Birthday Problem
Category=GPS
Category=JMB
Category=PBT
Category=PD
Data Fraud
data transparency
Driving Ability
Effect Size Bias
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics
FFP
Highest Income Sample
Leiden University
Listwise Deletion
methodology
Null Hypothesis Significance Testing
Open Data Policy
open science practices
preventing research data falsification
QRP
Questionable Research Practices
Questionable research practises
Random Assignment
Rector Magnificus
research
research ethics
scientific misconduct
Statistical Data Analysis
statistical literacy
Statistical Null Hypothesis Testing
statistics
Terminal Digit Preference
Tilburg School
Tilburg University
Tv Crew
Unique Pairs
Van Kolfschoten
Vice Dean

Product details

  • ISBN 9781032183749
  • Weight: 640g
  • Dimensions: 138 x 216mm
  • Publication Date: 15 Jun 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers’ inadequate mastery of the statistical methods and procedures they use for their data analysis. The author’s solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists.

The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues’ possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitivenature of statistics, are discussed.

The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.

An interview with the author can be found here: https://www.tilburguniversity.edu/magazine/overview/former-rector-sijtsma-turn-statistician-fight-fraud-and-sloppiness.

Klaas Sijtsma is an emeritus professor of methods and techniques of psychological research at Tilburg University. He is also a former dean of a school suffering from a huge data fraud affair by one of its eminent professors, which he had to cope with during his term. Being both an applied statistician and an experienced administrator having to deal with serious breaches of scientific integrity gave him a unique perspective on the problems discussed in this book. He gave many lectures on the topic and authored several publications. This book summarizes his views. In addition, he has published more than 200 papers and book chapters on statistical topics and coauthored three books on measurement of psychological attributes such as intelligence, personality traits, and attitudes. At present, he is co-chair of the Committee on Research Integrity of Erasmus University Rotterdam.

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