Tendeiro JorgeJorge Tendeiro

Last Updated :2025/02/04

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

学位

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

教育活動

授業担当

  1. 2024年, 教養教育, 4ターム, Fundamental Data Science
  2. 2024年, 修士課程・博士課程前期, 3ターム, データリテラシー
  3. 2024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. 2024年, 学部専門, 1ターム, Social Statistics Analysis I (社会統計・データ分析 I)
  5. 2024年, 学部専門, 1ターム, Social Statistics Analysis II (社会統計・データ分析 II)
  6. 2024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)
  7. 2024年, 学部専門, 1ターム, データサイエンスセミナーI
  8. 2024年, 学部専門, 2ターム, データサイエンスセミナーII
  9. 2024年, 学部専門, セメスター(後期), 卒業論文
  10. 2024年, 修士課程・博士課程前期, 1ターム, 情報科学特別演習A
  11. 2024年, 修士課程・博士課程前期, 2ターム, 情報科学特別演習A
  12. 2024年, 修士課程・博士課程前期, 3ターム, 情報科学特別演習B
  13. 2024年, 修士課程・博士課程前期, 4ターム, 情報科学特別演習B
  14. 2024年, 修士課程・博士課程前期, 年度, 情報科学特別研究

研究活動

学術論文(★は代表的な論文)

  1. On the Potential Mismatch Between the Function of the Bayes Factor and Researchers? Expectations, COLLABRA-PSYCHOLOGY, 8巻, 1号, 20220622
  2. 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
  3. 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
  4. ★, Worked-out examples of the adequacy of Bayesian optional stopping, Psychonomic Bulletin & Review, 29巻, 1号, pp. 70-87, 202202
  5. On the Practical Consequences of Misfit in Mokken Scaling, Applied Psychological Measurement, 44巻, 6号, pp. 482-496, 202009
  6. Improving the Measurement of Functional Somatic Symptoms With Item Response Theory, Assessment, 28巻, 8号, pp. 1960-1970, 20200806
  7. ★, A Review of Issues About Null Hypothesis Bayesian Testing, Psychological Methods, 24巻, 6号, pp. 774-795, 201912
  8. Gender Based Differential Prediction by Curriculum Samples for College Admissions, Educational Measurement: Issues and Practice, 38巻, 3号, pp. 33-45, 201909
  9. Guilt in Bereavement: Its Relationship with Complicated Grief and Depression, International Journal of Psychology, 54巻, 4号, pp. 454-461, 201908
  10. GGUM: An R package for fitting the Generalized Graded Unfolding Model, Applied Psychological Measurement, 43巻, 2号, pp. 172-173, 201903
  11. 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
  12. The influence of the psychometric quality of a test when making admission decisions, Law School Admission Council, 18-04巻, 18-04号, 20180901
  13. Unidimensional item response theory, The Wiley handbook of psychometric testing, pp. 413-433, 20180530
  14. Corrigendum: The use of subscores in higher education: When is this useful?, Frontiers in Psychology, 9巻, 873号, 20180528
  15. Investigating the practical consequences of model misfit in unidimensional IRT models, Applied Psychological Measurement, 41巻, 6号, pp. 439-455, 201709
  16. The use of subscores in exams in higher education: When is this useful?, Frontiers in Psychology, 8巻, 305号, 20170307
  17. Applying organizational justice theory to admission into higher education, International Journal of Selection and Assessment, 25巻, 1号, pp. 72-84, 201703
  18. Measuring non-cognitive predictors in high-stakes contexts, Personality and Individual Differences, 106巻, pp. 183-189, 20170201
  19. The lz(p)* Person-Fit Statistic in an Unfolding Model Context, Applied Psychological Measurement, 41巻, 1号, pp. 44-59, 20170101
  20. Detecting careless respondents in web-based questionnaires, Journal of Research in Personality, 63巻, pp. 1-11, 201608
  21. Individual differences in very young childrens English acquisition in China, Bilingualism: Language and Cognition, 19巻, 3号, pp. 550-566, 201605
  22. 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
  23. Person fit assessment using the PerFit package in R, Quantitative methods for psychology, 12巻, 3号, pp. 232-242, 2016
  24. How serious is IRT misfit for practical decision-making?, Law School Admission Council, 15号, pp. 04, 201510
  25. Detection of Invalid Test Scores on Admission Tests, Law School Admission Council, 15号, pp. 03, 201503
  26. Derivation and Applicability of Asymptotic Results for Multiple-Subtest Person-Fit Statistics, Applied Psychological Measurement, 40巻, pp. 274-288, 2016
  27. 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
  28. Verantwoording onderzoek werkgroep Meijer: Aanvullingen COTAN Beoordelingssysteem wat betreft volg-aspect van leerlingen onderwijsvolgsystemen (deel 2), NIP en Ministerie OCW, 2015
  29. The effect of item and person misfit in selection decisions: An empirical study, Law School Admission Council, 15巻, 05号, 2015
  30. The Use of Nonparametric Item Response Theory to Explore Data Quality, Handbook of Item Response Theory Modeling, pp. 85-110, 201412
  31. 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
  32. 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
  33. Detection of invalid test scores: The usefulness of simple nonparametric statistics, Law School Admission Council, 13巻, 05号, 2013
  34. 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
  35. 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
  36. Some mathematical results on three-way component analysis, University of Groningen, 20101031
  37. Detection of Invalid Test Scores: The Usefulness of Simple Nonparametric Statistics, Journal of Educational Measurement, 51巻, 3号, pp. 239-259, 20140828
  38. 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
  39. ★, 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
  40. 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
  41. ★, First and second-order derivatives for CP and INDSCAL, Chemometrics and Intelligent Laboratory Systems, 106巻, 1号, pp. 27-36, 20110315
  42. Some New Results on Orthogonally Constrained Candecomp, Journal of Classification, 28巻, 2号, pp. 144-155, 201107
  43. Using Cumulative Sum Statistics to Detect Inconsistencies in Unproctored Internet Testing, Educational and Psychological Measurement, 73巻, 1号, pp. 143-161, 201302
  44. ★, 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
  45. 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
  46. Predicting Performance in Higher Education Using Proximal Predictors, PLoS ONE, 11巻, 4号, 20160413
  47. 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
  48. ★, PerFit: An R Package for Person-Fit Analysis in IRT, Journal of Statistical Software, 74巻, 5号, pp. 1-27, 201610
  49. 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
  50. 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
  51. Bayes factors for superiority, non-inferiority, and equivalence designs, BMC Medical Research Methodology, 19巻, 20190329
  52. 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
  53. Improving the Measurement of Functional Somatic Symptoms with Item Response Theory, JOURNAL OF PSYCHOSOMATIC RESEARCH, 133巻, 2020
  54. 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
  55. Seven steps toward more transparency in statistical practice, NATURE HUMAN BEHAVIOUR, 5巻, 11号, pp. 1473-1480, 202111
  56. 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. 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