Jorge N. Tendeiro
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  • Recent & Upcoming Talks
    • Example Talk
    • On a generalizable approach for sample size determination in Bayesian t tests
    • Bayes factors for two-group comparisons in Cox regression with an application for reverse-engineering raw data from summary statistics
    • Data-driven prior elicitation for Bayes factors in Cox regression for nine subfields in biomedicine
    • Introduction to the Bayes factor: A Shiny/R app
    • VALID: A Checklist-Based Approach for Improving Validity in Psychological Research
    • Assessment of fit of the time-varying dynamic partial credit model using the posterior predictive model checking method
    • Practical Implications of Equating Equivalence Tests: Reply to Campbell and Gustafson (2022)
    • ``Adding an egg' in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy
    • A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data
    • Diagnosing the Misuse of the Bayes Factor in Applied Research
    • Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models
    • The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
    • A Review of Applications of the Bayes Factor in Psychological Research
    • Decisions About Equivalence: A Comparison of TOST, HDI-ROPE, and the Bayes Factor
    • With Bayesian estimation one can get all that Bayes factors offer, and more
    • Model-data fit evaluation: Aberrant response detection
    • Does Functional Somatic Symptoms measurement differ across Sex and Age? Differential Item Functioning in Somatic Symptoms measured with the CIDI
    • The autonomy-validity dilemma in mechanical prediction procedures: The quest for a compromise
    • On the potential mismatch between the function of the Bayes factor and researchers’ expectations
    • Mixed-Effects Trait-State-Occasion Model: Studying the Psychometric Properties and the Person-Situation Interactions of Psychological Dynamics
    • On the white, the black, and the many shades of gray in between: Our reply to van Ravenzwaaij and Wagenmakers (2021)
    • Using Structural Equation Modeling to Study Traits and States in Intensive Longitudinal Data
    • Education Increases Decision-rule Use: An Investigation of Education and Incentives to Improve Decision Making
    • The Crit Coefficient in Mokken Scale Analysis: A Simulation Study and an Application in Quality-of-Life Research
    • Worked-out examples of the adequacy of Bayesian optional stopping
    • Seven steps toward more transparency in statistical practice
    • Improving the measurement of functional somatic symptoms with Item Response Theory
    • On the practical consequences of misfit in Mokken scaling
    • A review of issues about null hypothesis Bayesian testing
    • Guilt in bereavement: Its relationship with complicated grief and depression
    • Practical consequences of model misfit when using rating scales to assess the severity of attention problems in children
    • Gender-based differential prediction by curriculum samples for college admissions
    • Bayes factors for superiority, non-inferiority, and equivalence designs
    • GGUM: An R package for fitting the generalized graded unfolding model
    • Predicting future academic success: How a Bayesian approach can be of help in analyzing and interpreting admission test scores
    • What are the minimal sample size requirements for Mokken scaling? An empirical example with the Warwick-Edinburgh Mental Well-Being Scale
    • Admission testing for higher education: A multi-cohort study on the validity of high-fidelity curriculum-sampling tests
    • Corrigendum: The use of subscores in higher education: When is this useful?
    • Unidimensional Item Response Theory
    • The influence of the psychometric quality of a test when making admission decisions
    • Identifying levels of general distress in first line mental health services: can GP- and eHealth clients' scores be meaningfully compared?
    • Investigating the practical consequences of model misfit in unidimensional IRT models
    • The use of subscores in higher education: When is this useful?
    • Applying organizational justice theory to admission into higher education: Admission from a student perspective
    • Measuring non-cognitive predictors in high-stakes contexts: The effect of self-presentation on self-report instruments used in admission to higher education
    • The $l^*_{z(p)}$ person-fit statistic in an unfolding model context
    • Implicit and explicit self-esteem in current, remitted, recovered, and comorbid depression and anxiety disorders: The NESDA study
    • PerFit: An R package for person-fit analysis in IRT
    • Derivation and applicability of asymptotic results for multiple subtests person-fit statistics
    • Predicting performance in higher education using proximal predictors
    • Individual differences in very young children's English acquisition in China: Internal and external factors
    • Detecting careless respondents in web-based questionnaires: Which method to use?
    • A practical guide to check the consistency of item response patterns in clinical research through person-fit statistics: Examples and a computer program
    • Person fit assessment using the PerFit package in R
    • Verantwoording onderzoek werkgroep Meijer: Aanvullingen COTAN Beoordelingssysteem wat betreft normering referentieniveaus en computer adaptief toetsen van andere eindtoetsen (deel 1)
    • Verantwoording onderzoek werkgroep Meijer: Aanvullingen COTAN Beoordelingssysteem wat betreft volg-aspect van leerlingen onderwijsvolgsystemen (deel 2)
    • Investigating measurement invariance in computer-based personality testing: The impact of using anchor items on effect size indices
    • Derivation and applicability of asymptotic results for multiple-subtest person-fit statistics
    • Detection of invalid test scores on admission tests: A simulation study using person-fit statistics
    • How serious is IRT misfit for practical decision-making?
    • The effect of item and person misfit on selection decisions: An empirical study
    • The use of nonparametric item response theory to explore data quality
    • Detection of invalid test scores: The usefulness of simple nonparametric statistics
    • The use of person-fit scores in high-stakes educational testing: How to use them and what they tell us
    • Direct transformations yielding the knight's move pattern in $3 \times 3 \times 3$ arrays
    • Detection of invalid test scores: The usefulness of simple nonparametric statistics
    • The probability of exceedance as a nonparametric person-fit statistic for tests of moderate length
    • The probability of exceedance as a nonparametric person-fit statistic for tests of moderate length
    • Sobre a comparação de estruturas de classificação: Coeficientes e suas distribuições
    • Using cumulative sum statistics to detect inconsistencies in unproctored internet testing
    • The use of the $l_z$ and $l_z^*$ person-fit statistics and problems derived from model misspecification
    • A CUSUM to detect person misfit: A discussion and some alternatives for existing procedures
    • Some new results on orthogonally constrained Candecomp
    • First and second-order derivatives for CP and INDSCAL
    • Some mathematical results on three-way component analysis
    • The link between sufficient conditions by Harshman and by Kruskal for uniqueness in Candecomp/Parafac
    • Simplicity transformations for three-way arrays with symmetric slices, and applications to Tucker-3 models with sparse core arrays
  • Projects
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Projects
    • Pandas
    • PyTorch
    • scikit-learn
    • tvvarGAM
    • vampyr
    • GGUM
    • PerFit
  • Experience
  • Teaching
    • Learn JavaScript
    • Learn Python
    • Perspectives on the Bayes factor
    • Misuse of Bayesian inference in applied research: Current status and constructive feedback
    • The Bayes factor: Statistical properties and a diagnosis of its use in applied research
    • Why, When & How to use Bayes Factors
    • Introdução à Estatística Bayesiana
    • Open Science
    • Different perspectives on the Bayes factor
    • Open Science: A must for modern 21st century researchers
    • An introduction to Bayesian statistics
    • Robustness of Bayesian null hypothesis testing under optional stopping
    • Bayesian statistics as a therapy for frequentist problems
    • My current views over the Bayes factor
    • From frequentist problems towards Bayesian solutions
    • Implications of teaching Bayesian statistics to undergraduate psychology students
    • Elaborating on issues with Bayes factors
    • Three-mode principal component analysis (3MPCA) and item response theory
    • Unfolding IRT models : Do they always fit when expected?
    • Cumulative vs unfolding IRT models : How practice may defy theory
    • Detecting misfitting response patterns in educational testing : An empirical application
    • Detecting cheating in unproctored internet testing settings using CUSUMs (and more)
    • Simplicity transformations for three-way arrays with symmetric slices
    • Simplicity transformations for three-way arrays with symmetric slices
    • First and second order derivatives for CP and INDSCAL
    • Three-way PCA
    • Simplicity transformations for three-way arrays with symmetric slices
    • Simplicity transformations for three-way arrays with symmetric slices
    • A validation methodology in hierarchical clustering
    • Introduction to survival analysis
    • Examining changes
    • Introduction to parametric IRT
    • Test equating
    • Multivariate general linear models
    • Introduction to repeated measures ANOVA
    • Introduction to polytomous item response theory
    • Modern methods for robust regression

Pandas

26 Oct , 2023
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.

Last updated on 26 Oct , 2023
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Jorge N. Tendeiro
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Jorge N. Tendeiro
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