Handbook of Diagnostic Classification Models (Record no. 101679)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06464nam a22005655i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-05584-4 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20210116102552.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191011s2019 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030055844 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-05584-4 |
| Source of number or code | doi |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | МУБИС |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | LC5225.A75 |
| Classification number | LB2822.75 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | JNKD |
| Source | bicssc |
| Subject category code | EDU011000 |
| Source | bisacsh |
| Subject category code | JNDH |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 371.26 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Handbook of Diagnostic Classification Models |
| Medium | [electronic resource] : |
| Remainder of title | Models and Model Extensions, Applications, Software Packages / |
| Statement of responsibility, etc. | edited by Matthias von Davier, Young-Sun Lee. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2019. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | |
| -- | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XIV, 656 p. 91 illus., 17 illus. in color. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Methodology of Educational Measurement and Assessment, |
| International Standard Serial Number | 2367-170X |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction: From Latent Class Analysis to DINA and Beyond -- PART 1: Approaches to Cognitive Diagnosis -- 2. Nonparametric Item Response Theory and Mokken Scale Analysis, with Relations to Latent Class Models and Cognitive Diagnostic Models -- 3. The Reparameterized Unified Model System: A Diagnostic Assessment Modeling Approach -- 4.Bayesian Networks -- 5. Nonparametric Classification Models -- 6. General Diagnostic Model (GDM) -- 7. Generalized Deterministic Inputs, Noisy “and” Gate Model (G-DINA) -- 8. Loglinear Cognitive Diagnostic Model (LCDM) -- 9. Diagnostic Modeling of Skill Hierarchies and Cognitive Process with MLTM-D -- 10. Explanatory Diagnostic Models -- 11. Insights from Reparametrized DINA and Beyond -- PART 2: Special Topics -- 12. Q Matrix Learning via Latent Variable Selection and Identifiability -- 13. Global Model and Item-level Fit Indices -- 14.Exploratory Data Analysis and Cognitive Diagnostic Model -- 15. CDM-CAT -- 16. Identifiability and Cognitive Diagnostic Model -- 17. Classification Consistency and Reliability -- 18.Differential Item Functioning in CDM -- 19. Parameter Invariance and Skill Attribute Continuity in DCMs: Bifactor MIRT as an Appealing and Related Alternative -- PART 3: Applications -- 20.Application of CDMs to Process Data Analysis -- 21. Application of CDMs to Learning Systems -- 22. CDMs in Vocational Education -- 23. Analyzing Large Scale Assessment Data with Diagnostic Models -- 24. Reduced Reparameterized Unified Model Applied to Learning Spatial Reasoning Skills -- 25. How to Conduct a Study with Diagnostic Models -- PART 4: Software, Data, and Tools -- 26. The R package CDM for Diagnostic Modeling -- 27. Diagnostic Classification Modeling with flexMIRT -- 28. Using Mplus to Estimate the Log-Linear Cognitive Diagnosis Model -- 29. The GDINA R-package -- 30. GDM software mdltm including Parallel EM algorithm.-31. Estimating CDMs using MCMC. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Assessment. |
| Topical term or geographic name entry element | Psychometrics. |
| Topical term or geographic name entry element | Statistics . |
| Topical term or geographic name entry element | Cognitive psychology. |
| Topical term or geographic name entry element | Assessment, Testing and Evaluation. |
| Authority record control number or standard number | https://scigraph.springernature.com/ontologies/product-market-codes/O33000 |
| Topical term or geographic name entry element | Psychometrics. |
| Authority record control number or standard number | https://scigraph.springernature.com/ontologies/product-market-codes/Y43000 |
| Topical term or geographic name entry element | Statistics for Social Sciences, Humanities, Law. |
| Authority record control number or standard number | https://scigraph.springernature.com/ontologies/product-market-codes/S17040 |
| Topical term or geographic name entry element | Cognitive Psychology. |
| Authority record control number or standard number | https://scigraph.springernature.com/ontologies/product-market-codes/Y20060 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | von Davier, Matthias. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| Personal name | Lee, Young-Sun. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030055837 |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783030055851 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Methodology of Educational Measurement and Assessment, |
| International Standard Serial Number | 2367-170X |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-05584-4">https://doi.org/10.1007/978-3-030-05584-4</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Цахим хувилбартай гадаад ном |
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