Quantitative psychology : the 85th Annual Meeting of the Psychometric Society, virtual / / edited by Marie Wiberg [and four others]

• Record Nr.: UNISA996466408703316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2021]; ©2021
• ISBN: 3-030-74772-7
• Descrizione fisica: 1 online resource (478 pages)
• Collana: Springer Proceedings in Mathematics and Statistics Ser. ; ; v.353
• Disciplina: 150.15195
• Soggetti: Psychometrics; Psicometria; Congressos; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Contents -- A Rotation Criterion That Encourages a Hierarchical Factor Structure -- 1 Introduction -- 2 Methods -- 2.1 Proposed Rotation Criterion Function -- 2.2 Computational Techniques -- 2.3 Simulation Design -- 3 Results -- 4 Discussions -- References -- Comparison Between Different Estimation Methods of Factor Models for Longitudinal Ordinal Data -- 1 Introduction -- 2 Generalized Linear Latent Variable Models for Longitudinal Ordinal Data -- 3 Model Estimation -- 3.1 Pairwise Likelihood Approach -- 3.2 Dimension-Wise Quadrature Method -- 4 Simulation Study -- 5 Real Data Analysis -- 6 Discussion -- References -- An Efficient Scheduling Algorithm for Parallel Planar Rotations of Factors -- 1 Factor Rotation and Planar Rotations -- 1.1 General Factor Rotation Problem -- 1.2 Factor Rotation via Component Planar Rotations -- 2 Scheduling Parallel Orthogonal Planar Rotations -- 2.1 1-Factorizations of Complete Graphs -- 2.2 The Proposed Scheduling Algorithm -- 2.3 Case with More Than s Processing Threads -- 2.4 Case with Less than s Processing Threads -- 2.5 Case with an Odd Number of Factors -- 2.6 Practical Considerations -- 3 Simulated and Real Examples -- 3.1 A Simulated Text Mining Example -- 3.2 A Real Data Example About ; Human Activity Recognition by Smartphones -- 4 Conclusions -- References -- Explanatory Response Time Models -- 1 Introduction -- 2 Explanatory Response Time Models -- 2.1 Descriptive-Only Response Time Model -- 2.2 Person-Explanatory Response Time Model -- 2.3 Item-Explanatory Response Time Model -- 3 Real Data Example -- 3.1 Descriptive-Only Model -- 3.2 Person-Explanatory Model and Covariates -- 3.3 Item-Explanatory Model and Covariates -- 3.4 Model Estimation Results -- 4 Simulation -- 4.1 Simulation Design -- 4.2 Simulation Results -- 5 Discussion -- References.; Response Time Relationships Within Examinees: Implications for Item Response Time Models -- 1 Introduction -- 2 Method -- 2.1 Subjects -- 2.2 Test -- 2.3 Variables Analyzed -- 3 Results -- 3.1 Between Person and Between Item Correlations -- 3.2 Within Person Correlations -- 4 Discussion -- References -- Nonlinear Latent Effects in Diagnostic Classification Modeling Incorporating Response Times -- 1 Introduction -- 1.1 Nonlinear Joint Cognitive Diagnostic Modeling -- 1.2 Bayesian Parameter Estimation -- 2 Method -- 2.1 Real Data Analysis -- 2.2 Simulation Study -- 3 Results -- 3.1 Real Data Analysis -- 3.2 Simulation Study -- 4 Discussion -- References -- Sequential Monitoring of Aberrant Test-Taking Behaviors Based on Response Times -- 1 Introduction -- 2 Sequential Procedures for Detecting Aberrant Test-Taking Behaviors -- 2.1 CUSUM-Based Approach -- 2.2 SGLRT-Based Approach -- 2.3 Moving Sample Strategy -- 3 Simulation Study -- 3.1 Data Generation and Simulation Design -- 3.2 Evaluation -- 3.3 Results -- 4 Application to Process Data -- 4.1 Data -- 4.2 Results -- 5 Discussion -- References -- Estimating Approximate Number Sense (ANS) Acuity -- 1 Approximate Number Sense Acuity: Psychophysical Scaling Models as Item Response Models -- 2 An Application to Data: Magnitudes -- 2.1 Least Squares Estimation of ANS -- 2.2 Latent Trait Estimation of ANS -- 2.3 Results -- 3 Conclusion -- References -- Differences in Symbolic and Non-symbolic Measures of Approximate Number Sense -- 1 Introduction -- 2 Method -- 3 Measurements -- 4 Results -- 4.1 Symbolic vs Non-symbolic ANS -- 4.2 Relationship of ANS to Other Measures of Math Ability -- 5 Discussion -- References -- Formulas of Multilevel Reliabilities for Tests with Ordered Categorical Responses -- 1 Introduction -- 2 Reliabilities -- 2.1 CTT Approach -- 2.2 CFA Approach -- 3 Multilevel Reliabilities.; 3.1 Multilevel Confirmatory Factor Analysis (MCFA) -- 3.2 Multilevel Reliabilities -- 4 Multilevel Reliability for Categories Responses -- 5 Conclusions -- References -- Polytomous IRT Models Versus IRTree Models for Scoring Non-cognitive Latent Traits -- 1 Introduction -- 2 Traditional Polytomous IRT Models -- 2.1 The Graded Response Model -- 2.2 The Generalized Partial Credit Model -- 3 Non Traditional Polytomous IRT Models -- 3.1 IRTree Models -- 4 Application -- 4.1 Data -- 4.2 Analyses -- 4.3 Results -- 5 Conclusions and Discussion -- References -- On the Coefficient Alpha in High-Dimensions -- 1 Introduction -- 2 Definitions and Assumptions -- 3 Theorem -- 4 Preliminary Results -- 5 Proof of Theorem 1 -- 6 Illustration with Simulated Data -- 7 Discussion -- References -- IRT Analysis of Dimensional Structure and Item Wording Effects -- 1 Introduction -- 1.1 Item Wording: Directionality and Orientation -- 1.2 Multidimensional Structure -- 1.3 Graded Response IRT Model -- 1.4 Summary -- 2 Method -- 2.1 Instrument -- 2.2 Participants -- 2.3 Analysis -- 3 Results -- 3.1 Descriptive Statistics -- 3.2 Model Fit -- 3.3 Item Parameter Estimates -- 3.4 Trait Score Estimates -- 4 Discussion -- References -- Item Level Measurement of Extreme Response Style -- 1 Introduction -- 1.1 Anchoring Vignettes -- 1.2 ; Item Response Model for Anchoring Vignette Data -- 2 Methods -- 3 Results -- 3.1 IRT Analysis -- 3.2 Model Comparison Analysis -- 4 Discussion and Conclusions -- References -- On the Marginal Effect Under Partitioned Populations: Definition and Interpretation -- 1 Introduction -- 2 Global Marginal Effect -- 2.1 Definition of the Global Marginal Effect -- 2.2 Interpretation of the Global Marginal Effect -- 3 Application -- 3.1 Results -- 4 Conclusions and Discussion -- A.1 Invariant Property of the Global Marginal Effect -- References.; Range-Preserving Confidence Intervals and Significance Tests for Scalability Coefficients in Mokken Scale Analysis -- 1 Introduction -- 2 Sampling Distribution of Scalability Coefficients -- 2.1 Wald-Based Methods -- 2.2 Range-Preserving Methods -- 2.3 Approximating the Sampling Distribution -- 3 Simulation Study -- 4 Implementation in Software -- 5 Discussion -- References -- Equating Nonequivalent Groups Using Propensity Scores: Model Misspecification and Sensitivity Analysis -- 1 Introduction -- 2 Kernel Equating -- 3 Propensity Scores -- 4 Simulation Study -- 4.1 Equating Estimators -- 4.2 Simulation Design -- 4.3 Evaluation Measures -- 4.4 Results -- 5 Discussion -- References -- Possible Factors Which May Impact Kernel Equating of Mixed-Format Tests -- 1 Introduction -- 2 IRT Kernel Equating -- 3 Simulation Study -- 4 Results -- 5 Discussion -- References -- Population Invariance of Equating for Subgroups Differing in Achievement Level -- 1 Introduction -- 2 Methodology -- 2.1 Data and Subgroups -- 2.2 Equating Analysis -- 2.3 Comparisons of Equating Results -- 3 Results -- 3.1 Comparisons Between Results Based on the Ranked and Random Samples for Equipercentile Equating -- 4 Conclusions and Discussion -- References -- Comparison of Outlier Detection Methods in NEAT Design -- 1 Introduction -- 2 Data -- 3 Methods -- 3.1 Outlier Manipulation -- 3.2 Outlier Detection Methods -- 3.3 Simulation Procedures -- 3.4 Evaluation Criteria -- 4 Results -- 4.1 Baseline Conditions Without Outliers -- 4.2 Simulated Conditions with Outliers -- 5 Conclusion and Discussion -- References -- An Illustration on the Quantile-Based Calculation of the Standard Error of Equating in Kernel Equating -- 1 Introduction -- 2 Equating and the Standard Error of Equating -- 2.1 Kernel Equating -- 2.2 SEE in Kernel Equating -- 3 Quantile-Based Estimation of SEE.; 3.1 Quantile-Based SEE in KE -- 4 Illustration -- 4.1 Data -- 4.2 Analyses -- 4.3 Results -- 5 Discussion -- References -- Improving the Measurement Efficiency in Test Construction Related to Cognitive Diagnosis Models -- 1 Introduction -- 1.1 CDM -- 1.2 CDI and ADI -- 1.3 MCDI and MADI -- 2 Method -- 2.1 rCDI and rADI -- 2.2 Simulation Design -- 3 Results -- 4 Discussion -- References -- Exploring Temporal Functional Dependencies Between Latent Skills in Cognitive Diagnostic Models -- 1 Methods -- 1.1 Dataset Description -- 1.2 Data Preprocessing/Design -- 1.3 Parameter Estimation and Model Selection -- 1.4 Correlation Analysis -- 2 Results -- 3 Discussion -- References -- Sample Size for Latent Dirichlet Allocation of Constructed-Response Items -- 1 Introduction -- 2 Simulations for Latent Dirichlet Allocation -- 2.1 Latent Dirichlet Allocation (LDA) -- 2.2 Prior Specification -- 2.3 Data Generation -- 2.4 Model Estimation -- 2.5 Label Switching -- 2.6 Evaluation -- 3 Simulation Study -- 3.1 Design -- 3.2 Results -- 4 Discussion -- References -- The Asymptotic Power of the Lagrange Multiplier Tests for Misspecified IRT Models -- 1 Introduction -- 2 The Lagrange Multiplier Test -- 2.1 Approximation Procedures for the Asymptotic Power -- 3 The Generalized Lagrange Multiplier Test -- 3.1 Estimation Procedure for the Noncentrality Parameter -- 4 Simulation Study -- 4.1 Simulation Design -- 4.2 Results -- 5 Conclusion -- References -- Residual Analysis in Rasch ; Counts Models -- 1 Introduction -- 2 Rasch Counts Model -- 2.1 Alternative Counts Distribution -- 2.2 Alternative RC Models -- 3 Estimation Methods -- 4 Residual Analysis -- 5 Application -- 6 Final Comments -- References -- A Bayesian Solution to Non-convergence of Crossed Random Effects Models -- 1 Introduction -- 2 Crossed-Random Effects Model (CREMs) -- 3 Bayesian Approach -- 4 Simulation.; 5 Results.