Reproducible Analyses

 

The poor availability of syntaxes of structural equation modeling

The syntax or codes used to fit Structural Equation Models (SEMs) convey valuable information on model specifications and the manner in which SEMs are estimated. We requested SEM syntaxes from a random sample of 229 articles (published in 1998–2013) …

The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration

Recent advances in open neuroimaging data are enhancing our comprehension of neuropsychiatric disorders. By pooling images from various cohorts, statistical power has increased, enabling the detection of subtle abnormalities and robust associations, …

The psychological reality of the learned “p < .05” boundary

The .05 boundary within Null Hypothesis Statistical Testing (NHST) “has made a lot of people very angry and been widely regarded as a bad move” (to quote Douglas Adams). Here, we move past meta-scientific arguments and ask an empirical question: What …

The reporting completeness and transparency of systematic reviews of prognostic prediction models for COVID-19 was poor: a methodological overview of systematic reviews

Objectives To conduct a methodological overview of reviews to evaluate the reporting completeness and transparency of systematic reviews (SRs) of prognostic prediction models (PPMs) for COVID-19. Study Design and Setting MEDLINE, Scopus, Cochrane …

The State of Play of Reproducibility in Statistics: An Empirical Analysis

Reproducibility, the ability to reproduce the results of published papers or studies using their computer code and data, is a cornerstone of reliable scientific methodology. Studies where results cannot be reproduced by the scientific community …

The Web of Schizotypal Personality Traits: Frequentist Network Replication and Bayesian Network Re-Analysis

This thesis examines schizotypal personality traits, risk factors for schizophrenia, through both frequentist and Bayesian network models. It replicates a prior frequentist analysis by Dodell-Feder et al. (2019) and introduces a Bayesian re-analysis …

The what, why, and how of born-open data

Although many researchers agree that scientific data should be open to scrutiny to ferret out poor analyses and outright fraud, most raw data sets are not available on demand. There are many reasons researchers do not open their data, and one is …

Theory-Testing in Psychology and Physics: A Methodological Paradox

Because physical theories typically predict numerical values, an improvement in experimental precision reduces the tolerance range and hence increases corroborability. In most psychological research, improved power of a statistical design leads to a …

Tópicos Especiais em Biotecnologia: Planejamento e Otimização de Experimentos

A crise de confiança na ciência. Práticas e condutas questionáveis na pesquisa. Delineamento experimental adequado. Definição de variáveis. Armadilhas à validade. Cálculo amostral. Transparência na pesquisa. Pré-registro. Dados e código aberto.

Topics in Social Psychology and Personality

This seminar class will focus on the theme of Reproducibility in Social Psychology. We will discuss issues surrounding open science as well as the “replication crisis” in social psychology.