Описание: . High Performance Psychometrics - New Results on an Improved Algorithm Estimating Generalized Latent Variable Models.- 2. Properties of second-order exponential models as multidimensional item response models.- 3. Pseudo-likelihood Estimation of Multidimensional Response Models: Polytomous and Dichotomous Items.- 4. Fitting Graded Response Models to Data with Nonnormal Latent Traits.- 5. An Extention of Rudner-based Consistency and Accuracy Indices for Multidimensional Item Response Theory.- 6. Supporting diagnostic inferences using significance tests for subtest scores.- 7. A comparison of two MCMC algorithms for the 2PL IRT model.- 8. Similar DIFs: Differential Item Functioning and Factorial Invariance for Scales with Seven ("Plus or Minus Two") Response Alternatives.- 9. Finally! A Valid Test of Configural Invariance Using Permutation in Multiple-Group CFA.- 10. Outcries of Dual Scaling: The Key is Duality.- 11. The Most Predictable Criterion with Fallible Data.- 12. Asymmetric Multidimensional Scaling of Cognitive Similarities Among Occupational Categories.- 13. On the Relationship Between Squared Canonical Correlation and Matrix Norm.- 14. Breaking through the sum score barrier.- 15. Overestimation of Reliability by Guttman's Lambda 4, Lambda 5, and Lambda 6, and the Greatest Lower Bound.- 16. The Performance of Five Reliability Estimates at Multidimensional Test Situations.- 17. Weighted Guttman errors: Handling ties and two-level data.- 18. Measuring Cognitive Processing Capabilities in Solving Mathematical Problems.- 19. Parameter Constraints of the Reduced RUM as a Logit Model.- 20. Hypothesis Testing for Item Consistency Index in Cognitive Diagnosis Assessment.- 21. The irreplaceability of a reachability matrix.- 22. Ensuring test quality over time by monitoring the equating transformations.- 23. An illustration of the Epanechnikov and Adaptive continuization methods in Kernel equating.- 24. (The Potential for) Accumulated Linking Error in Trend Measurement in Large-Scale Educational Assessments.- 25. IRT observed-score equating with the non-equivalent groups with covariates design.- 26. Causal Inference with Observational Multilevel Data: Investigating Selection and Outcome Heterogeneity.- 27. Non-Equivalent Groups With Covariates Design Using Propensity Scores for Kernel Equating.- 28. A mixture partial credit model analysis using a language-based covariate.- 29. Investigating Constraint-weighted Item Selection Procedures in Unfolding CAT.- 30. Rating Scale Format and Item Sensitivity to Response Style in Large-Scale Assessment.- 31. Mode Comparability Studies for a High-Stakes Testing Program.- 32. Power analysis for t-test with non-normal data and unequal variances.- 33. Statistical Power for One-Way ANOVA with Binary or Count Data.- 34. Bayesian robust estimation in causal two-stage-least-squares modeling with instrumental variables.- 35. Measuring grit among first-generation college students: A psychometric analysis.- 36. A Comparison of Item Parameter and Standard Error Recovery Across Different R Packages for Popular Unidimensional IRT Models
Автор: Hong Jiao, Robert W. Lissitz Название: Innovative Psychometric Modeling and Methods ISBN: 1648022227 ISBN-13(EAN): 9781648022227 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to present innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments. In addition, innovative psychometric modeling approaches, such as graphical models, item tree models, network analysis, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for learning analytics. The first two chapters focus on advanced cognitive diagnostic models for tracking learning and the improvement of attribute classification accuracy. Chapter 4 demonstrates the use of network analysis for learning analytics. Chapter 6 introduces the conjunctive root causes model for the understanding of prerequisite skills in learning. Chapters 3, 5, 8, 9 are about innovative psychometric techniques to model process data. Specifically, Chapters 3 and 5 illustrate the usage of generalized linear mixed effect models and item tree models to analyze eye-tracking data. Chapter 8 discusses the modeling approach of hint uses and response accuracy in learning environment. Chapter 9 demonstrates the identification of observable outcomes in the game-based assessments. Chapters 7 and 10 introduce innovative latent variable modeling approaches, including the graphical and generalized linear model approach and the dynamic modeling approach. In summary, the book includes theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to model and analyze multiple data sources from digital assessments. When computer-based assessments are emerging and evolving, it is important that researchers can expand and improve the methods for modeling and analyzing new data sources. This book provides a useful resource to researchers who are interested in the development of psychometric methods to solve issues in this digital assessment age.
Название: Introduction to psychometric theory ISBN: 0415878225 ISBN-13(EAN): 9780415878227 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to educational and psychological testing and measurement theory that reflects the various intellectual developments. This book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation. It also offers tips on how to use test theory in the actual testing situations.
Автор: Hong Jiao, Robert W. Lissitz Название: Innovative Psychometric Modeling and Methods ISBN: 1648022235 ISBN-13(EAN): 9781648022234 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 7069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The general theme of this book is to present innovative psychometric modelling and methods. In particular, the book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments.
Описание: Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items.- Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn about Underlying Item Response Processes.- A Three-Parameter Speeded Item Response Model: Estimation and Application.- An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects.- Item Response Theory Models for Multidimensional Ranking Items.- Different Growth Measures on Different Vertical Scales.- Investigation of Constraint-weighted Item Selection Procedures in Polytomous CAT.- Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability.- Item Response Theory Models for Person Dependence in Paired Samples.- Using Sample Weights in Item Response Data Analysis under Complex Sample Designs.- Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application.- Numerical Differences Between Guttman's Reliability Coefficients and the GLB.- A Framework for Optimizing the costs and GT based reliabilities in Large-scale Performance.- A Confirmatory Factor Model for the Investigation of Cognitive Data Showing a Ceiling Effect: an Example.- The Goodness of Sample Loadings of Principal Component Analysis in Approximating to Factor Loadings with High Dimensional Data.- Remedies for Degeneracy in Candecomp/Parafac.- Growth Curve Modeling for Nonnormal Data: A Two-stage Robust Approach versus a Semiparametric Bayesian Approach.- The Specification of Attribute Structures and Its Effects on Classification Accuracy in Diagnostic Test Design.- Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis.- Application Study of Online Multistage Intelligent Adaptive Testing for Cognitive Diagnosis.- Dichotomous and Polytomous Q Matrix Theory.- Multidimensional Joint Graphical Display of Symmetric Analysis: Back to the Fundamentals.- Classification of Writing Patterns Using Keystroke Logs.- Identifying Useful Features to Detect Off-Topic Essays in Automated Scoring Without Using Topic-Specific Training Essays.- Students' Perceptions of Their Mathematics Teachers in the Longitudinal Study of American Youth (LSAY): A Factor Analytic Approach.- A Study on Factors Influence Chinese Elementary School Teachers' Job Satisfaction.- The Determinants of Training Participation, A Multilevel Approach: Evidence from PIAAC.- Latent Transition Analysis for Program Evaluation with Multivariate Longitudinal Outcomes.- The Theory and Practice of Personality Development Measurement.
Описание: Psychoanalytic and Psychometric Perspectives on Religion suggests to combine perspectives from psychoanalysis and academic psychology, from nomothetic and idiothetic research, for more depth of vision for the current psychology of religion. In this interdisciplinary study, Barbara Keller demonstrates the potential of integrative perspectives by analysing topics such as religious development, religion and personality, and the process of working with religious issues in psychotherapy. Options for the study of lived “religion” are discussed, taking into consideration North American and European contexts of religious experience and of psychological and psychoanalytic discussion.
Автор: Isaac I. Bejar; Roger Chaffin; Susan Embretson Название: Cognitive and Psychometric Analysis of Analogical Problem Solving ISBN: 0387973214 ISBN-13(EAN): 9780387973210 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Test builders, like cognitive scientists, are aware of the cen- trality of analogical reasoning and figure, correctly, that a test that samples a student`s ability to think analogically may well be a good predictor of success in a variety of fields.
Описание: This proceedings volume highlights the latest research and developments in psychometrics and statistics.
Автор: Saville Название: From Obscurity to Clarity in Psychometric Testing ISBN: 1138823430 ISBN-13(EAN): 9781138823433 Издательство: Taylor&Francis Рейтинг: Цена: 29093.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An ideal companion for any student or researcher of HRM, occupational or organizational psychology, or applied psychology in general, Peter Saville`s selected works represent the thinking of one of the most influential psychologists of our time.
Автор: Bryon Mike Название: How to Pass Graduate Psychometric Tests ISBN: 0749467991 ISBN-13(EAN): 9780749467999 Издательство: Kogan Page Рейтинг: Цена: 2374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: How to Pass Graduate Psychometric Tests is packed with exercises, detailed answers and explanations and advice from an expert in psychometrics, helping you to land that graduate job.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
