Innovative Psychometric Modeling and Methods, Hong Jiao, Robert W. Lissitz

Автор: Hong Jiao, Robert W. Lissitz
Название: Innovative Psychometric Modeling and Methods
ISBN: 1648022235 ISBN-13(EAN): 9781648022234
Издательство: Mare Nostrum (Eurospan)
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Цена: 47130.00 T
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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.

Автор: Levy Roy, Mislevy Robert J.
Название: Bayesian Psychometric Modeling
ISBN: 1439884676 ISBN-13(EAN): 9781439884676
Издательство: Taylor&Francis
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Цена: 93910.00 T
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Описание:

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment

Автор: Price Larry R.
Название: Psychometric Methods: Theory Into Practice
ISBN: 146252477X ISBN-13(EAN): 9781462524778
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание: Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.

Автор: Van Der Ark L. Andries, Bolt Daniel M., Wang Wen-Chung
Название: Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
ISBN: 3319817426 ISBN-13(EAN): 9783319817422
Издательство: Springer
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Цена: 111790.00 T
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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.

Название: Introduction to psychometric theory
ISBN: 0415878225 ISBN-13(EAN): 9780415878227
Издательство: Taylor&Francis
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Цена: 148010.00 T
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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: Saville
Название: From Obscurity to Clarity in Psychometric Testing
ISBN: 1138823430 ISBN-13(EAN): 9781138823433
Издательство: Taylor&Francis
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Цена: 193950.00 T
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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: Van Der Ark L. Andries, Wiberg Marie, Culpepper Steven A.
Название: Quantitative Psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
ISBN: 3319858793 ISBN-13(EAN): 9783319858791
Издательство: Springer
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Цена: 139750.00 T
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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: Saville, Peter (kingston University, Uk)
Название: From obscurity to clarity in psychometric testing
ISBN: 1138684570 ISBN-13(EAN): 9781138684577
Издательство: Taylor&Francis
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Цена: 44910.00 T
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: Wiberg Marie, Molenaar Dylan, Gonzбlez Jorge
Название: Quantitative Psychology: 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019
ISBN: 3030434680 ISBN-13(EAN): 9783030434687
Издательство: Springer
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Цена: 139750.00 T
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Описание: This proceedings volume highlights the latest research and developments in psychometrics and statistics.

Автор: Rust
Название: Modern Psychometrics
ISBN: 113863865X ISBN-13(EAN): 9781138638655
Издательство: Taylor&Francis
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Цена: 47970.00 T
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Описание: This popular text introduces the reader to all aspects of psychometric assessment, including its history, how to construct and administer traditional tests and the latest techniques for psychometric assessment online.

Автор: Finch, French & Immekus
Название: Applied Psychometrics Using Sas
ISBN: 1623966957 ISBN-13(EAN): 9781623966959
Издательство: Mare Nostrum (Eurospan)
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Цена: 94250.00 T
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Описание: The book is designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SAS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. The authors do not assume any more than basic familiarity with these issues, and devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them.This book will be useful either as a primary text for a course on applied measurement where SAS is the main platform for instruction, or as a supplement to a more theoretical text. The readership will include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments.This book aims to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter covers an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics are briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that is presented subsequently. Readers are then presented with examples illustrating a particular concept (e.g., reliability). These examples include a discussion of the particular analysis, along with the SAS code necessary to conduct them. The resulting output is then discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up is also included in the text. This mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work.

Автор: Holmes Finch, Brian French, Jason Immekus
Название: Applied Psychometrics using SPSS and AMOS
ISBN: 1681235277 ISBN-13(EAN): 9781681235271
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 94250.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments.The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work.To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research.Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.