Jonathan Templin

Biographic Data

ID5910127
NAMEJonathan Templin
GIVEN NAMESJonathan
FAMILY NAMETemplin
SIGNATURETEMPLIN J
AFFILIATIONSUniversity of Iowa
ORCID0000-0001-7616-0973
VERIFIEDYes
TOTAL WORKS19
TOTAL CITATIONS1
AUTHOR COUNT19
EDITOR COUNT0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2025
H-INDEX1

  • Evaluating Solutions to the Label-Switching Issue When Estimating Latent Variable Models with the Nuts Algorithm

    Nathan DePuy, Jonathan TemplinARTICLEMultivariate Behavioral Research2025

    Bayesian estimation is an useful technique for estimating item response theory (IRT) models. Compared to frequentist methods, Bayesian estimation methods incorporate prior information into the esti

  • Computerized Adaptive Testing Using Bayesian Explanatory Diagnostic Classification Models

    Ae Kyong Jung, Jonathan TemplinARTICLEMultivariate Behavioral Research2025

    In computerized adaptive testing (CAT) using diagnostic classification models (DCMs), item parameters are typically fixed at specific point estimates, and their standard errors are not accounted fo

  • Fundamentalism and Hope in a Religiously Diverse Sample in the United States

    Open AccessCraig A Warlick, Craig Warlick et al.ARTICLEPastoral Psychology2025References: 2

    Despite their positive relationships with health outcomes, few studies directly assess the relationships among religiosity and hope. Using item factor analysis ( N = 630) within a religiously diverse United States sample, we hypothesized fundamentalism ( H 1 : Intratextual Fundamentalism Scale, ITFS; Multidimensional Fundamentalism Inventory, MDFI; and Religious Fundamentalism Scale, RFS) and hope measures ( H 2 : Adult Hope Scale, AHS; Integrati…

  • Modification Indices for Diagnostic Classification Models

    Christy Brown, Jonathan TemplinARTICLEMultivariate Behavioral Research2023

    Diagnostic classification models (DCMs) are psychometric models for evaluating a student’s mastery of the essential skills in a content domain based upon their responses to a set of test items. Currently, diagnostic model and/or Q-matrix misspecification is a known problem with limited avenues for remediation. To address this problem, this paper defines a one-sided score statistic that is a computationally efficient method for detecting under-spe…

  • Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler

    Alfonso J Martinez, Jonathan TemplinARTICLEMultivariate Behavioral Research2023

    "Estimating Bayesian Diagnostic Models with Attribute Hierarchies with the Hamiltonian-Gibbs Hybrid Sampler." Multivariate Behavioral Research, 58(1), pp. 141–142

  • A Model Comparison Approach to Posterior Predictive Model Checks in Bayesian Confirmatory Factor Analysis

    Jihong Zhang, Jonathan Templin et al.ARTICLEStructural Equation Modeling: A…2022

    Posterior Predictive Model Checking (PPMC) is frequently used for model fit evaluation in Bayesian Confirmatory Factor Analysis (BCFA). In standard PPMC procedures, model misfit is quantified by comparing the location of an ML-based point estimate to the predictive distribution of a statistic. When the point estimate is far from the center posterior predictive distribution, model fit is poor. Not included in this approach, however, is the variabi…

  • Enabling Computer Adaptive Assessments for Slider-Bar Item Types with the Three-Part Beta Measurement Model

    Alfonso J Martinez, Jonathan Templin et al.ARTICLEMultivariate Behavioral Research2022

    "Enabling Computer Adaptive Assessments for Slider-Bar Item Types with the Three-Part Beta Measurement Model." Multivariate Behavioral Research, ahead-of-print(ahead-of-print), p. 1

  • Longitudinal measurement invariance of the Working Alliance Inventory - Short form across coaching sessions

    Open AccessMarjolein Stefens, E W M Rondeel et al.ARTICLEBMC Psychology2022

    As decisions in both clinical and scientific practices generally rely on outcome assessment of interpersonal change in scores on the same measure over time, we believe our findings to be of contributing value to the consolidation of interpretation and accuracy of scorings on the WAI-S in coaching

  • Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks

    Catherine E Mintz, Jonathan Templin et al.ARTICLEMultivariate Behavioral Research2020

    "Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks." Multivariate Behavioral Research, 55(1), p. 160

  • A Bayesian Saturated Model Approach to Posterior Predictive Model Checks in Confirmatory Factor Analysis

    Jihong Zhang, Jonathan Templin et al.ARTICLEMultivariate Behavioral Research2020

    "A Bayesian Saturated Model Approach to Posterior Predictive Model Checks in Confirmatory Factor Analysis." Multivariate Behavioral Research, 55(1), pp. 161–162

  • Using Diagnostic Classification Models to Validate Attribute Hierarchies and Evaluate Model Fit in Bayesian Networks

    Bo Hu, Jonathan TemplinARTICLEMultivariate Behavioral Research2020

    We investigate the relationship between Bayesian inference networks (BayesNets) and diagnostic classification models (DCMs). Specifically, we demonstrate and empirically examine the equivalency of parameterizations between BayesNets and DCMs. Then, we propose a model-comparison framework for testing the model fit of BayesNets, in which we show how BayesNets are nested within the saturated DCM structural models. Additionally, we show when attribut…

  • Iraq’s tough governance setting

    Dhirgham Alobaydi, Bonnie Johnson et al.ARTICLEJournal of Contemporary Iraq &…2019

    Public service motivation (PSM) is understudied within ‘tough governance settings’ such Iraq’s, as it transitioned from dictatorship to democracy amidst civil unrest. Debates surrounding a universal construct of PSM currently focus on whether a love of public institutions is an essential component, or if measures of self-sacrifice will suffice. Results from a multidimensional PSM measure previously utilized in western settings are used here in Ir…

  • The Power to Detect and Predict Individual Differences in Intra-Individual Variability Using the Mixed-Effects Location-Scale Model

    Ryan W Walters, Lesa Hoffman et al.ARTICLEMultivariate Behavioral Research2018

    Our goal is to provide empirical scientists with practical tools and advice with which to test hypotheses related to individual differences in intra-individual variability using the mixed-effects location-scale model. To that end, we evaluate Type I error rates and power to detect and predict individual differences in intra-individual variability using this model and provide empirically-based guidelines for building scale models that include rand…

  • Constructing Gibbs Samplers for Bayesian Logistic Item Response Models

    Zhehan Jiang, Jonathan TemplinARTICLEMultivariate Behavioral Research2018

    "Constructing Gibbs Samplers for Bayesian Logistic Item Response Models." Multivariate Behavioral Research, 53(1), pp. 132–133

  • Contemporary approaches to psychometrics

    Bingjie Hu, Bo Hu et al.ARTICLECulture and Education2017Cited by: 1References: 1

    Evaluating test scores is an essential process, critical in both educational research and practice. To scientifically understand and utilize test scores, educators and researchers need to choose appropriate psychometric models to analyse and interpret assessment data. In this paper, we discuss two classes of psychometric models that have been widely used in educational measurement: item response theory (IRT) models and diagnostic classification m…

  • A Latent Transition Analysis Model for Assessing Change in Cognitive Skills

    Open AccessFeiming LI, Allan S Cohen et al.ARTICLEEducational and Psychological…2016

    Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is presented of an instructional treatment on a sample of seventh-grade students in several classrooms in a Mi…

  • The Power to Detect and Predict Individual Differences in Within-Person Variability Using the Mixed-Effects Location-Scale Model

    Ryan W Walters, Lesa Hoffman et al.ARTICLEMultivariate Behavioral Research2015

    "The Power to Detect and Predict Individual Differences in Within-Person Variability Using the Mixed-Effects Location-Scale Model." Multivariate Behavioral Research, 50(6), p. 737

  • The Effects of Q-Matrix Misspecification on Parameter Estimates and Classification Accuracy in the Dina Model

    Open AccessAndré A Rupp, André Rupp et al.ARTICLEEducational and Psychological…2008

    This article reports a study that investigated the effects of Q-matrix misspecifications on parameter estimates and misclassification rates for the deterministic-input, noisy ``and'' gate (DINA) model, which is a restricted latent class model for multiple classifications of respondents that can be useful for cognitively motivated diagnostic assessment. In this study, a Q-matrix for an assessment mapping all 15 possible attribute patterns based on…

  • Measurement of psychological disorders using cognitive diagnosis models.

    Jonathan Templin, Jonathan L Templin et al.ARTICLEPsychological Methods2006

    Cognitive diagnosis models are constrained (multiple classification) latent class models that characterize the relationship of questionnaire responses to a set of dichotomous latent variables. Having emanated from educational measurement, several aspects of such models seem well suited to use in psychological assessment and diagnosis. This article presents the development of a new cognitive diagnosis model for use in psychological assessment--the…