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Jorge N. Tendeiro

Professor

Hiroshima University

Biography

Jorge N. Tendeiro is a professor at the Office of Research and Academia-Government-Community Collaboration, Education and Research Center for Artificial Intelligence and Data Innovation, Hiroshima University, Japan. His research interests include item response theory in general and person fit analysis in particular. He is also interested in the Bayesian statistical framework.

Interests

  • Item Response Theory
  • Person Fit Analysis
  • Bayesian Statistics

Education

  • PhD in Statistics, 2010

    University of Groningen

  • MSc in Applied Statistics, 2005

    University of Porto

  • BSc in Mathematics, 2001

    University of Porto

Featured Publications

Mathematical evidence for the adequacy of Bayesian optional stopping

The practice of sequentially testing a null hypothesis as data are collected until the null hypothesis is rejected is known as optional …
Jorge N. Tendeiro, Henk A. L. Kiers, Don van Ravenzwaaij
Code Preprint

A review of issues about null hypothesis Bayesian testing

Null hypothesis significance testing (NHST) has been under scrutiny for decades. The literature shows overwhelming evidence of a large …
Jorge N. Tendeiro, Henk A. L. Kiers
PDF Code DOI Preprint

GGUM: An R package for fitting the generalized graded unfolding model

In this article, the newly created GGUM R package is presented. This package finally brings the generalized graded unfolding model …
Jorge N. Tendeiro, Sebastian Castro-Alvarez
PDF DOI

PerFit: An R package for person-fit analysis in IRT

Checking the validity of test scores is important in both educational and psychological measurement. Person-fit analysis provides …
Jorge N. Tendeiro, Rob R. Meijer, A. Susan M. Niessen
PDF DOI

First and second-order derivatives for CP and INDSCAL

In this paper we provide the means to analyse the second-order differential structure of optimization functions concerning …
Jorge N. Tendeiro, Mohammed Bennani Dosse, Jos M. F. Ten Berge
PDF DOI

Recent Publications

Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person-Situation Interactions of Psychological Dynamics

The trait-state-occasion model (TSO) is a popular model within the latent state-trait theory (LST). The TSO allows distinguishing the …
Sebastian Castro-Alvarez, Jorge N. Tendeiro, Peter de Jonge, Rob R. Meijer, Laura F. Bringmann
Code Preprint

Comparing the use of sum-scores and Item Response Theory’s person location scores as measures of Functional Somatic Symptoms

This study aims to compare the use of sum-scores and person location scores from Item Response Theory (IRT) as outcome measures of …
Angélica Acevedo-Mesa, Rei Monden, Annelieke Roest, Jorge N. Tendeiro, Judith G. M. Rosmalen
Code Preprint

Toward More Transparency in Statistical Practice

We explore the promise of statistical reform by starting from the assumption that most researchers would endorse Merton’s ethos …
Preprint
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Talks & Workshops

An introduction to Bayesian statistics

This is a 2-hour workshop for the Graduate School of Medical Sciences at the UMCG, Groningen. It takes place online (and perhaps also …
Thu, Oct 29, 2020 15:00 — 17:00 University Medical Center Groningen
Jorge N. Tendeiro
Part 1 Part 2 Github

Robustness of Bayesian null hypothesis testing under optional stopping

A lot has already been said against the use of optional stopping (i.e., sequential testing) in the frequentist framework. On the other …
Tue, Jul 14, 2020 11:20 — 11:55 IMPS 2020 Virtual meeting
Jorge N. Tendeiro, Henk A. L. Kiers, Don van Ravenzwaaij
Slides Video

Introduction to survival analysis

In this one-hour presentation I aim at offering a gentle introduction to survival analysis. I present introductory material which is …
Wed, May 20, 2020 14:00 — 15:00 University of Groningen
Jorge N. Tendeiro
Slides GitHub
See all talks

Contact

  • HIRAKU-Global Building, Hiroshima University, 1-3-2 Kagamiyama, Higashi-Hiroshima, 739-8511
  • DM Me