Reproducible Analyses

 

Berlin|Oxford Summer School 2020

This repository contains materials and talks for the Berlin|Oxford Summer School 2020 from 28th September to 1st of October

Oxford-Berlin Open Research summer school 2019

This projects contains materials from lectures and workshops associated with the Oxford-Berlin Open Research Summer School 2019.

Reproducible statistics for psychologists with R Lab Tutorials

This is a series of labs/tutorials currently under development (2020-2021) for a two-semester graduate-level statistics sequence in Psychology @ Brooklyn College of CUNY. The goal of these tutorials is to 1) develop a deeper conceptual understanding …

Credibility of preprints: an interdisciplinary survey of researchers

Preprints increase accessibility and can speed scholarly communication if researchers view them as credible enough to read and use. Preprint services do not provide the heuristic cues of a journal's reputation, selection, and peer-review processes …

Probing Birth-Order Effects on Narrow Traits Using Specification-Curve Analysis

The idea that birth-order position has a lasting impact on personality has been discussed for the past 100 years. Recent large-scale studies have indicated that birth-order effects on the Big Five personality traits are negligible. In the current …

Der Umgang mit Forschungsdaten im Fach Psychologie: Konkretisierung der DFG-Leitlinien. [Data Management in Psychological Science: Specification of the DFG Guidelines].

Calls for public access to research data have been ongoing for some time. For instance, in their “Recommendations for Secure Storage and Availability of Digital Primary Research Data” (2009) the German Research Foundation (“Deutsche …

The Null Hypothesis Significance-Testing Debate and Its Implications for Personality Research

A chapter about null hypothesis significance testing in personality research

Open Science: What, Why, and How

Open Science is a collection of actions designed to make scientific processes more transparent and results more accessible. Its goal is to build a more replicable and robust science; it does so using new technologies, altering incentives, and …

Data Sharing in Psychology: A Survey on Barriers and Preconditions

Despite its potential to accelerate academic progress in psychological science, public data sharing remains relatively uncommon. In order to discover the perceived barriers to public data sharing and possible means for lowering them, we conducted a …

Privacy and Data-Based Research

What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. …
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