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Kirjailija

Thomas Plümper

Kirjat ja teokset yhdessä paikassa: 5 kirjaa, julkaisuja vuosilta 1996-2026, suosituimpien joukossa The Credibility Crisis in Science. Vertaile teosten hintoja ja tarkista saatavuus suomalaisista kirjakaupoista.

Mukana myös kirjoitusasut: Thomas Plumper

5 kirjaa

Kirjojen julkaisuhaarukka 1996-2026.

The Credibility Crisis in Science

The Credibility Crisis in Science

Thomas Plümper; Eric Neumayer

MIT PRESS LTD
2026
nidottu
A novel perspective on scientific fraud--how undisclosed "tweaks" to research designs and model specifications fuel the credibility crisis in science. In The Credibility Crisis in Science, leading social scientists Thomas Pl mper and Eric Neumayer argue that the most important fraudulent strategy is crucially underappreciated. While data fabrication and manipulation are widely recognized as fraudulent, "tweaks"--the intentional selection of research designs and model specifications based on the results they give--are not. The authors of this book contend that the term "scientific fraud" must include tweaks. Tweakers, like other fraudsters, deceive readers by concealing their manipulation of empirical results and they do so to further their own interests. The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe. Pl mper and Neumayer argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. The authors put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified, and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.
Robustness Tests for Quantitative Research

Robustness Tests for Quantitative Research

Eric Neumayer; Thomas Plümper

Cambridge University Press
2017
sidottu
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Robustness Tests for Quantitative Research

Robustness Tests for Quantitative Research

Eric Neumayer; Thomas Plümper

Cambridge University Press
2017
pokkari
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
Effizient Schreiben: Leitfaden Zum Verfassen Von Qualifizierungsarbeiten Und Wissenschaftlichen Texten
Das Buch zielt darauf ab, die Logik des Verfassens wissenschaftlicher Texte zu vermitteln. Dar ber hinaus verr t es sinnvolle Tricks und Kniffe, die Universit ten blicherweise nicht lehren, die aber helfen, m glichst schnell und effizient zu arbeiten und vor allem zu schreiben. Die dritte Auflage ist vollst ndig berarbeitet und erweitert. Sie bietet eine erweiterte Methodendiskussion und integriert Robustheitstest in das Forschungsdesign.