Tendeiro JorgeJorge Tendeiro

Last Updated :2026/06/03

所属・職名
大学院先進理工系科学研究科 教授
メールアドレス
tendeirohiroshima-u.ac.jp
自己紹介
I am Professor at the Informatics and Data Science group. My main research topic revolves around Bayesian inference. I am also interested in topics related with item response theory. I am both interested in the theoretical as well as the empirical approaches to statistics and data analysis. I am also an advocate of Open Science.

基本情報

主な職歴

  • 2024年04月01日, 広島大学, 大学院先進理工系科学研究科, 教授
  • 2002年09月, 2004年08月, Universidade Catolica Portugal, Lecturer
  • 2021年01月15日, 2024年03月31日, 広島大学, 学術・社会連携室, 教授

学位

  • Ph.D (University of Groningen)
  • Research Master (University of Porto)

教育活動

授業担当

  1. 2026年, 教養教育, 4ターム, Fundamental Data Science
  2. 2026年, 修士課程・博士課程前期, 3ターム, データリテラシー
  3. 2026年, 博士課程・博士課程後期, 4ターム, パターン認識と機械学習
  4. 2026年, 学部専門, 4ターム, 情報科学演習IV(データ科学プログラム)
  5. 2026年, 学部専門, 1ターム, ベイズ統計
  6. 2026年, 学部専門, 1ターム, データ科学セミナーI
  7. 2026年, 学部専門, 2ターム, データ科学セミナーII
  8. 2026年, 学部専門, セメスター(後期), 卒業論文
  9. 2026年, 修士課程・博士課程前期, 1ターム, 情報科学特別演習A
  10. 2026年, 修士課程・博士課程前期, 2ターム, 情報科学特別演習A
  11. 2026年, 修士課程・博士課程前期, 3ターム, 情報科学特別演習B
  12. 2026年, 修士課程・博士課程前期, 4ターム, 情報科学特別演習B
  13. 2026年, 修士課程・博士課程前期, 年度, 情報科学特別研究
  14. 2026年, 修士課程・博士課程前期, 4ターム, Bayesian inference

研究活動

学術論文(★は代表的な論文)

  1. Comparing training window selection methods for prediction in non-stationary time series, BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 79巻, 2号, pp. 341-361, 202605
  2. Bayes factors for two-group comparisons in Cox regression with an application for reverse-engineering raw data from summary statistics, JOURNAL OF APPLIED STATISTICS, 52巻, 13号, pp. 2413-2437, 20251003
  3. Bridging Null Hypothesis Testing and Estimation: A Practical Guide to Statistical Conclusion Drawing From Research in Psychology, ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, 8巻, 3号, 202507
  4. Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine, PLOS ONE, 20巻, 5号, 2025
  5. On a generalizable approach for sample size determination in Bayesian t tests, BEHAVIOR RESEARCH METHODS, 57巻, 5号, 20250331
  6. VALID: A Checklist-Based Approach for Improving Validity in Psychological Research, ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, 8巻, 1号, 202501
  7. Introduction to the Bayes factor: A Shiny/R app, TEACHING STATISTICS, 47巻, 1号, pp. 5-16, 202501
  8. Assessment of fit of the time-varying dynamic partial credit model using the posterior predictive model checking method, BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 77巻, 3号, pp. 532-552, 202411
  9. Adding an egg in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy, EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY, 33巻, 3号, pp. 245-262, 20230503
  10. A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data, MULTIVARIATE BEHAVIORAL RESEARCH, 59巻, 1号, pp. 78-97, 20240102
  11. ★, Diagnosing the Misuse of the Bayes Factor in Applied Research, ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, 7巻, 1号, pp. 1-19, 202401
  12. Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models, MEASUREMENT-INTERDISCIPLINARY RESEARCH AND PERSPECTIVES, 21巻, 4号, pp. 232-253, 20231002
  13. The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes, APPLIED PSYCHOLOGICAL MEASUREMENT, 47巻, 5-6号, pp. 420-437, 202309
  14. Decisions About Equivalence: A Comparison of TOST, HDI-ROPE, and the Bayes Factor, PSYCHOLOGICAL METHODS, 28巻, 3号, pp. 740-755, 202306
  15. A Review of Applications of the Bayes Factor in Psychological Research, PSYCHOLOGICAL METHODS, 28巻, 3号, pp. 558-579, 202306
  16. Using Structural Equation Modeling to Study Traits and States in Intensive Longitudinal Data, PSYCHOLOGICAL METHODS, 27巻, 1号, pp. 17-43, 202202
  17. On the White, the Black, and the Many Shades of Gray in Between: Our Reply to Van Ravenzwaaij and Wagenmakers (2021), PSYCHOLOGICAL METHODS, 27巻, 3号, pp. 466-475, 202206
  18. ★, With Bayesian estimation one can get all that Bayes factors offer, and more, Psychonomic Bulletin & Review, 30巻, 2号, pp. 534-552, 202304
  19. The autonomy-validity dilemma in mechanical prediction procedures: The quest for a compromise, JOURNAL OF BEHAVIORAL DECISION MAKING, 35巻, 4号, 202210
  20. On the Potential Mismatch Between the Function of the Bayes Factor and Researchers? Expectations, COLLABRA-PSYCHOLOGY, 8巻, 1号, 20220622
  21. Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person-Situation Interactions of Psychological Dynamics, STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 29巻, 3号, pp. 438-451, 20220504
  22. Education Increases Decision-Rule Use: An Investigation of Education and Incentives to Improve Decision Making, JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, 28巻, 1号, pp. 166-178, 202203
  23. ★, Worked-out examples of the adequacy of Bayesian optional stopping, Psychonomic Bulletin & Review, 29巻, 1号, pp. 70-87, 202202
  24. On the Practical Consequences of Misfit in Mokken Scaling, Applied Psychological Measurement, 44巻, 6号, pp. 482-496, 202009
  25. Improving the Measurement of Functional Somatic Symptoms With Item Response Theory, Assessment, 28巻, 8号, pp. 1960-1970, 20200806
  26. ★, A Review of Issues About Null Hypothesis Bayesian Testing, Psychological Methods, 24巻, 6号, pp. 774-795, 201912
  27. Gender Based Differential Prediction by Curriculum Samples for College Admissions, Educational Measurement: Issues and Practice, 38巻, 3号, pp. 33-45, 201909
  28. Guilt in Bereavement: Its Relationship with Complicated Grief and Depression, International Journal of Psychology, 54巻, 4号, pp. 454-461, 201908
  29. GGUM: An R package for fitting the Generalized Graded Unfolding Model, Applied Psychological Measurement, 43巻, 2号, pp. 172-173, 201903
  30. Predicting Future Academic Success: How a Bayesian Approach Can Be of Help in Analyzing and Interpreting Admission Test Scores, Law School Admission Council, 19-01号, 2019
  31. The influence of the psychometric quality of a test when making admission decisions, Law School Admission Council, 18-04巻, 18-04号, 20180901
  32. Unidimensional item response theory, The Wiley handbook of psychometric testing, pp. 413-433, 20180530
  33. Corrigendum: The use of subscores in higher education: When is this useful?, Frontiers in Psychology, 9巻, 873号, 20180528
  34. Investigating the practical consequences of model misfit in unidimensional IRT models, Applied Psychological Measurement, 41巻, 6号, pp. 439-455, 201709
  35. The use of subscores in exams in higher education: When is this useful?, Frontiers in Psychology, 8巻, 305号, 20170307
  36. Applying organizational justice theory to admission into higher education, International Journal of Selection and Assessment, 25巻, 1号, pp. 72-84, 201703
  37. Measuring non-cognitive predictors in high-stakes contexts, Personality and Individual Differences, 106巻, pp. 183-189, 20170201
  38. The lz(p)* Person-Fit Statistic in an Unfolding Model Context, Applied Psychological Measurement, 41巻, 1号, pp. 44-59, 20170101
  39. Detecting careless respondents in web-based questionnaires, Journal of Research in Personality, 63巻, pp. 1-11, 201608
  40. Individual differences in very young childrens English acquisition in China, Bilingualism: Language and Cognition, 19巻, 3号, pp. 550-566, 201605
  41. A Practical Guide to Check the Consistency of Item Response Patterns in Clinical Research Through Person-Fit Statistics, Assessment, 23巻, 1号, pp. 52-62, 2016
  42. Person fit assessment using the PerFit package in R, Quantitative methods for psychology, 12巻, 3号, pp. 232-242, 2016
  43. How serious is IRT misfit for practical decision-making?, Law School Admission Council, 15号, pp. 04, 201510
  44. Detection of Invalid Test Scores on Admission Tests, Law School Admission Council, 15号, pp. 03, 201503
  45. Derivation and Applicability of Asymptotic Results for Multiple-Subtest Person-Fit Statistics, Applied Psychological Measurement, 40巻, pp. 274-288, 2016
  46. Verantwoording onderzoek werkgroep Meijer: Aanvullingen COTAN Beoordelingssysteem wat betreft normering referentieniveaus en computer adaptief toetsen van andere eindtoetsen (deel 1), NIP en Ministerie OCW, 2015
  47. Verantwoording onderzoek werkgroep Meijer: Aanvullingen COTAN Beoordelingssysteem wat betreft volg-aspect van leerlingen onderwijsvolgsystemen (deel 2), NIP en Ministerie OCW, 2015
  48. The effect of item and person misfit in selection decisions: An empirical study, Law School Admission Council, 15巻, 05号, 2015
  49. The Use of Nonparametric Item Response Theory to Explore Data Quality, Handbook of Item Response Theory Modeling, pp. 85-110, 201412
  50. The Use of Person-Fit Scores in High-Stakes Educational Testing: How to Use Them and What They Tell Us, Law School Admission Council, 14-03号, 201404
  51. The probability of Exceedance as a nonparametric person-fit statistic for tests of moderate length, Applied Psychological Measurement, 37巻, 8号, pp. 653-665, 20130613
  52. Detection of invalid test scores: The usefulness of simple nonparametric statistics, Law School Admission Council, 13巻, 05号, 2013
  53. The Use of the l(z) and l(z)* Person-Fit Statistics and Problems Derived From Model Misspecification, Journal of Educational and Behavioral Statistics, 37巻, 6号, pp. 758-766, 201212
  54. A CUSUM to detect person misfit: A discussion and some alternatives for existing procedures, Applied Psychological Measurement, 36巻, 5号, pp. 420-442, 201207
  55. Some mathematical results on three-way component analysis, University of Groningen, 20101031
  56. Detection of Invalid Test Scores: The Usefulness of Simple Nonparametric Statistics, Journal of Educational Measurement, 51巻, 3号, pp. 239-259, 20140828
  57. What are the minimal sample size requirements for mokken scaling? An empirical example with the warwick- edinburgh mental well-being scale, Health Psychology and Behavioral Medicine, 6巻, 1号, pp. 203-213, 20180101
  58. ★, Simplicity transformations for three-way arrays with symmetric slices, and applications to Tucker-3 models with sparse core arrays, Linear Algebra and its Applications, 430巻, 4号, pp. 924-940, 2009
  59. The link between sufficient conditions by Harshman and by Kruskal for uniqueness in Candecomp/Parafac, Journal of Chemometrics, 23巻, 7-8号, pp. 321-323, 2009
  60. ★, First and second-order derivatives for CP and INDSCAL, Chemometrics and Intelligent Laboratory Systems, 106巻, 1号, pp. 27-36, 20110315
  61. Some New Results on Orthogonally Constrained Candecomp, Journal of Classification, 28巻, 2号, pp. 144-155, 201107
  62. Using Cumulative Sum Statistics to Detect Inconsistencies in Unproctored Internet Testing, Educational and Psychological Measurement, 73巻, 1号, pp. 143-161, 201302
  63. ★, Direct transformations yielding the knight's move pattern in 3 x 3 x 3 arrays, Chemometrics and Intelligent Laboratory Systems, 129巻, pp. 10-14, 20131115
  64. Investigating Measurement Invariance in Computer-Based Personality Testing: The Impact of Using Anchor Items on Effect Size Indices, Educational and Psychological Measurement, 75巻, 1号, pp. 126-145, 201502
  65. Predicting Performance in Higher Education Using Proximal Predictors, PLoS ONE, 11巻, 4号, 20160413
  66. Implicit and Explicit Self-Esteem in Current, Remitted, Recovered, and Comorbid Depression and Anxiety Disorders: The NESDA Study, PLOS ONE, 11巻, 11号, 20161115
  67. ★, PerFit: An R Package for Person-Fit Analysis in IRT, Journal of Statistical Software, 74巻, 5号, pp. 1-27, 201610
  68. Identifying levels of general distress in first line mental health services: can GP- and eHealth clients' scores be meaningfully compared?, BMC Psychiatry, 17巻, pp. 382, 20171201
  69. Admission testing for higher education: A multi-cohort study on the validity of high- fidelity curriculum-sampling tests, PLoS ONE, 13巻, 6号, 20180611
  70. Bayes factors for superiority, non-inferiority, and equivalence designs, BMC Medical Research Methodology, 19巻, 20190329
  71. Practical consequences of model misfit when using rating scales to assess the severity of attention problems in children, International Journal of Methods in Psychiatric Research, 28巻, 4号, 2019
  72. Improving the Measurement of Functional Somatic Symptoms with Item Response Theory, JOURNAL OF PSYCHOSOMATIC RESEARCH, 133巻, 2020
  73. Does Functional Somatic Symptoms Measurement Differ Across Sex and Age? Differential Item Functioning in Somatic Symptoms Measured With the CIDI, Assessment, 29巻, 7号, pp. 1392-1405, 20221001
  74. Seven steps toward more transparency in statistical practice, NATURE HUMAN BEHAVIOUR, 5巻, 11号, pp. 1473-1480, 202111
  75. The Crit coefficient in Mokken scale analysis: a simulation study and an application in quality-of-life research, QUALITY OF LIFE RESEARCH, 31巻, 1号, pp. 49-59, 202201

招待講演、口頭・ポスター発表等

  1. Symposium 'Emerging Alternatives to Traditional Null Hypothesis Significance Testing' - The Bayes factor, Jorge N. Tendeiro, APS 2024, 2024年05月24日, 通常, 英語, その他
  2. Colloquium — Bayesian inference: Alternatives to null hypothesis significance testing, Jorge N. Tendeiro, University of Washington - Psychology Edwards Colloquium, 2024年05月22日, 招待, 英語, その他
  3. Workshop — An introduction to Bayesian inference, Jorge N. Tendeiro, University of Washington - Psychology Edwards Workshop, 2024年05月21日, 招待, 英語
  4. Perspectives on the Bayes factor, Jorge N. Tendeiro, Seminar CEAUL & CEMAT, Lisbon University, 2023年03月01日, 招待, その他外国語, その他
  5. Misuse of Bayesian inference in applied research: Current status and constructive feedback, Jorge N. Tendeiro, CSP 2023, 2023年02月03日, 通常, 英語, その他
  6. The Bayes factor: Statistical properties and a diagnosis of its use in applied research, Jorge N. Tendeiro, Research Meeting, Hiroshima University, 2023年01月06日, 招待, 英語, その他
  7. Why, When & How to use Bayes Factors, Jorge N. Tendeiro, Podcast 'Learning Bayesian Statistics', Episode 69: Why, When & How to use Bayes Factors, 2022年10月07日, 招待, 英語, その他
  8. Introdução à Estatística Bayesiana, Jorge N. Tendeiro, II ciclo de seminários de Bioestatística e Bioinformática Aplicadas à Saúde, Instituto Politécnico do Porto, Escola Superior de Saúde, Portugal, 2022年02月04日, 招待, その他外国語, その他
  9. Open Science, Jorge N. Tendeiro, HIRAKU Consortium Researchers Event 2021, Hiroshima University, 2021年12月22日, 招待, 英語, その他
  10. Different perspectives on the Bayes factor, Jorge N. Tendeiro, IOPS Winter 2021, 2021年12月09日, 招待, 英語, その他
  11. Open Science: A must for modern 21st century researchers, Jorge N. Tendeiro, HIRAKU-Global Starter Course 2021, Hiroshima University, 2021年08月24日, 招待, 英語, その他
  12. An introduction to Bayesian statistics, Jorge N. Tendeiro, GSMS 2020, University Medical Center Groningen, 2020年10月29日, 招待, 英語, その他
  13. Robustness of Bayesian null hypothesis testing under optional stopping, Jorge N. Tendeiro, IMPS 2020, 2020年07月14日, 通常, 英語, その他
  14. Bayesian statistics as a therapy for frequentist problems, Jorge N. Tendeiro, SHARE Day, University Medical Center Groningen, 2019年11月14日, 招待, 英語, その他
  15. My current views over the Bayes factor, Jorge N. Tendeiro, University of Tokyo invited speaker, 2019年08月20日, 招待, 英語, その他
  16. From frequentist problems towards Bayesian solutions, Jorge N. Tendeiro, Nagoya University invited speaker, 2019年08月10日, 招待, 英語, その他
  17. Implications of teaching Bayesian statistics to undergraduate psychology students, Henk A. L. Kiers, Rink Hoekstra, Jorge N. Tendeiro, Don van Ravenzwaaij, SIPS 2019, 2019年07月08日, 通常, 英語, その他
  18. Elaborating on issues with Bayes factors, Jorge N. Tendeiro, IMPS 2018, 2018年07月10日, 通常, 英語, その他
  19. Three-mode principal component analysis (3MPCA) and item response theory, Jorge N. Tendeiro, University of Osaka invited lecture, 2017年07月28日, 招待, 英語, その他
  20. Unfolding IRT models : Do they always fit when expected?, Jorge N. Tendeiro, IMPS 2017, 2017年07月20日, 通常, 英語, その他
  21. Cumulative vs unfolding IRT models : How practice may defy theory, Jorge N. Tendeiro, ECPA 2017, 2017年07月07日, 通常, 英語, その他
  22. Detecting misfitting response patterns in educational testing : An empirical application, Jorge N. Tendeiro, ITC 2014, 2014年07月05日, 通常, 英語, その他
  23. Detecting cheating in unproctored internet testing settings using CUSUMs (and more), Jorge N. Tendeiro, ITC 2012, 2012年07月03日, 通常, 英語, その他
  24. Simplicity transformations for three-way arrays with symmetric slices, Jorge N. Tendeiro, CSAM 2011, 2011年06月17日, 通常, 英語, その他
  25. Simplicity transformations for three-way arrays with symmetric slices, Jorge N. Tendeiro, 20th IOPS Winter Conference, 2010年12月16日, 通常, 英語, その他
  26. First and second order derivatives for CP and INDSCAL, Jorge N. Tendeiro, 25th IOPS Summer Conference, 2010年06月11日, 通常, 英語, その他
  27. Three-way PCA, Jorge N. Tendeiro, JOCLAD 2010, 2010年03月25日, 通常, 英語, 実験データ
  28. Simplicity transformations for three-way arrays with symmetric slices, Jorge N. Tendeiro, TRICAP 2009, 2009年06月15日, 通常, 英語, その他
  29. Simplicity transformations for three-way arrays with symmetric slices, Jorge N. Tendeiro, 17th IOPS Winter Conference, 2007年12月12日, 通常, 英語, その他
  30. A validation methodology in hierarchical clustering, Jorge N. Tendeiro, ASMDA 2005, 2005年05月17日, 通常, 英語, その他

外部資金

競争的資金等の採択状況

  1. 科学研究費助成事業(研究活動スタート支援), Thorough overview of the use of the Bayes factor in applied psychological research, 2021年, 2022年