Search Results - "JUNKER, W"

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  1. 1

    Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory by Junker, Brian W., Sijtsma, Klaas

    Published in Applied psychological measurement (01-09-2001)
    “…Some usability and interpretability issues for single-strategy cognitive assessment models are considered. These models posit a stochastic conjunctive…”
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    Journal Article
  2. 2

    A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models by Patz, Richard J., Junker, Brian W.

    “…This paper demonstrates Markov chain Monte Carlo (MCMC) techniques that are particularly well-suited to complex models with item response theory (IRT)…”
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    Journal Article
  3. 3

    Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses by Patz, Richard J., Junker, Brian W.

    “…Patz and Junker (1999) describe a general Markov chain Monte Carlo (MCMC) strategy, based on Metropolis-Hastings sampling, for Bayesian inference in complex…”
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  4. 4
  5. 5

    The Development and Testing of an Instrument to Measure Youth Social Capital in the Domain of Postsecondary Transitions by Ryan, Sarah, Junker, Brian W.

    Published in Youth & society (01-03-2019)
    “…Through the development and field testing of an instrument designed to measure youth social capital in the context of postsecondary transitions, this research…”
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  6. 6

    The Hierarchical Rater Model for Rated Test Items and Its Application to Large-Scale Educational Assessment Data by Patz, Richard J., Junker, Brian W., Johnson, Matthew S., Mariano, Louis T.

    “…Open-ended or "constructed" student responses to test items have become a stock component of standardized educational assessments. Digital imaging of examinee…”
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  7. 7

    Covariates of the Rating Process in Hierarchical Models for Multiple Ratings of Test Items by Mariano, Louis T., Junker, Brian W.

    “…When constructed response test items are scored by more than one rater, the repeated ratings allow for the consideration of individual rater bias and…”
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  8. 8

    Latent and Manifest Monotonicity in Item Response Models by Junker, Brian W., Sijtsma, Klaas

    Published in Applied psychological measurement (01-03-2000)
    “…The monotonicity of item response functions(IRF) is a central feature of most parametric andnonparametric item response models. Monotonicityallows items to be…”
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  9. 9

    Classical multilevel and Bayesian approaches to population size estimation using multiple lists by Fienberg, S. E., Johnson, M. S., Junker, B. W.

    “…One of the major objections to the standard multiple-recapture approach to population estimation is the assumption of homogeneity of individual 'capture'…”
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  10. 10

    High‐dimensional longitudinal classification with the multinomial fused lasso by Adhikari, Samrachana, Lecci, Fabrizio, Becker, James T., Junker, Brian W., Kuller, Lewis H., Lopez, Oscar L., Tibshirani, Ryan J.

    Published in Statistics in medicine (30-05-2019)
    “…We study regularized estimation in high‐dimensional longitudinal classification problems, using the lasso and fused lasso regularizers. The constructed…”
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  11. 11

    Stochastic Ordering Using the Latent Trait and the Sum Score in Polytomous IRT Models by Hemker, Bas T, Sijtsma, Klaas, Molenaar, Ivo W, Junker, Brian W

    Published in Psychometrika (01-09-1997)
    “…Stochastic ordering properties are investigated for a broad class of item response theory (IRT) models for which the monotone likelihood ratio does not hold. A…”
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  12. 12

    Hierarchical Network Models for Education Research: Hierarchical Latent Space Models by Sweet, Tracy M., Thomas, Andrew C., Junker, Brian W.

    “…Intervention studies in school systems are sometimes aimed not at changing curriculum or classroom technique, but rather at changing the way that teachers,…”
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  13. 13

    Nonparametric Item Response Theory in Action: An Overview of the Special Issue by Junker, Brian W., Sijtsma, Klaas

    Published in Applied Psychological Measurement (01-09-2001)
    “…Introduces this special issue on nonparametric item response theory and discusses its use in psychological and sociological research. Outlines each of the…”
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    Journal Article Book Review
  14. 14

    A Hierarchical Rater Model for Longitudinal Data by Casabianca, Jodi M., Junker, Brian W., Nieto, Ricardo, Bond, Mark A.

    Published in Multivariate behavioral research (03-09-2017)
    “…Research studies in psychology and education often seek to detect changes or growth in an outcome over a duration of time. This research provides a solution to…”
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  15. 15

    Conditional Association, Essential Independence and Monotone Unidimensional Item Response Models by Junker, Brian W.

    Published in The Annals of statistics (01-09-1993)
    “…We consider two recent approaches to characterizing the manifest probabilities of a strictly unidimensional latent variable representation (one satisfying…”
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  16. 16

    Power to Detect Intervention Effects on Ensembles of Social Networks by Sweet, Tracy M., Junker, Brian W.

    “…The hierarchical network model (HNM) is a framework introduced by Sweet, Thomas, and Junker for modeling interventions and other covariate effects on ensembles…”
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  17. 17

    A survey of theory and methods of invariant item ordering by Sijtsma, K, Junker, B W

    “…In many testing situations, ordering the items by difficulty is helpful in analysing the testing data; examples include intelligence testing, analysis of…”
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  18. 18

    A Strong Role for Custom in International Wildlife Litigation by Junker, Kirk W.

    “…Journal of International Wildlife Law & Policy A Strong Role for Custom in International Wildlife Litigation…”
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  19. 19

    Making rights from what’s left of Darwinism by Junker, Kirk W.

    “…The legal, political, and social meaning of the work of Charles Darwin has been claimed as resident to conservative and liberal homes alike. Peter Singer's…”
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  20. 20

    Using Data Augmentation and Markov Chain Monte Carlo for the Estimation of Unfolding Response Models by Johnson, Matthew S., Junker, Brian W.

    “…Unfolding response models, a class of item response theory (IRT) models that assume a unimodal item response function (IRF), are often used for the measurement…”
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