標題: Titlebook: Handbook of Diagnostic Classification Models; Models and Model Ext Matthias von Davier,Young-Sun Lee Book 2019 The Editor(s) (if applicable [打印本頁] 作者: adulation 時間: 2025-3-21 19:08
書目名稱Handbook of Diagnostic Classification Models影響因子(影響力)
書目名稱Handbook of Diagnostic Classification Models影響因子(影響力)學科排名
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書目名稱Handbook of Diagnostic Classification Models網(wǎng)絡公開度學科排名
書目名稱Handbook of Diagnostic Classification Models被引頻次
書目名稱Handbook of Diagnostic Classification Models被引頻次學科排名
書目名稱Handbook of Diagnostic Classification Models年度引用
書目名稱Handbook of Diagnostic Classification Models年度引用學科排名
書目名稱Handbook of Diagnostic Classification Models讀者反饋
書目名稱Handbook of Diagnostic Classification Models讀者反饋學科排名
作者: 外貌 時間: 2025-3-21 20:27 作者: Pageant 時間: 2025-3-22 04:03
Handbook of Diagnostic Classification Models978-3-030-05584-4Series ISSN 2367-170X Series E-ISSN 2367-1718 作者: 加花粗鄙人 時間: 2025-3-22 06:40 作者: 愛哭 時間: 2025-3-22 08:57 作者: 松果 時間: 2025-3-22 12:59 作者: Ceremony 時間: 2025-3-22 17:29 作者: 助記 時間: 2025-3-23 00:46
Bayesian Networks from .), Genie (BayesFusion, LLC, Genie, 2017. Retrieved from . (Bayesian network Computer Software)) and BayesiaLab (Bayesia, Bayesialab, 2017. Retrieved from . (Bayesian Network Computer Software)) as well as a number of free software packages.作者: CREEK 時間: 2025-3-23 04:40 作者: compose 時間: 2025-3-23 08:48
The General Diagnostic Model a wide range of diagnostic models, as well as item response theory (IRT), multidimensional IRT (MIRT), latent class models, located latent class models, multiple group and mixture versions of these models, as well as multilevel, and longitudinal extensions of these. This chapter introduces the GDM 作者: gastritis 時間: 2025-3-23 12:16
Loglinear Cognitive Diagnostic Model (LCDM)M and measures of fit are discussed. Finally, this chapter will discuss the relationship of other diagnostic models to the LCDM and, as a result, provide a succinct definition of what is meant by disjunctive, compensatory, and conjunctive models.作者: Cumulus 時間: 2025-3-23 15:33 作者: OTTER 時間: 2025-3-23 20:51 作者: cauda-equina 時間: 2025-3-23 23:24 作者: 是突襲 時間: 2025-3-24 05:05 作者: 流浪 時間: 2025-3-24 07:10 作者: Palatial 時間: 2025-3-24 13:43 作者: 嘴唇可修剪 時間: 2025-3-24 16:40 作者: laceration 時間: 2025-3-24 19:54 作者: needle 時間: 2025-3-24 23:30
https://doi.org/10.1007/978-3-322-82449-3 a wide range of diagnostic models, as well as item response theory (IRT), multidimensional IRT (MIRT), latent class models, located latent class models, multiple group and mixture versions of these models, as well as multilevel, and longitudinal extensions of these. This chapter introduces the GDM 作者: 無王時期, 時間: 2025-3-25 04:26
Selbst das Schenken ist nicht umsonst,M and measures of fit are discussed. Finally, this chapter will discuss the relationship of other diagnostic models to the LCDM and, as a result, provide a succinct definition of what is meant by disjunctive, compensatory, and conjunctive models.作者: 引起 時間: 2025-3-25 09:46 作者: 大約冬季 時間: 2025-3-25 12:17 作者: 發(fā)源 時間: 2025-3-25 17:28
,Rückstandsbezogene Ziele und Strategien,sence of missing data, more precisely, the latent attributes underlying the observed data. The completeness of a .-matrix, the other important aspect to consider in identifying ., is beyond the scope of the present chapter.作者: 陰險 時間: 2025-3-25 22:29 作者: 指派 時間: 2025-3-26 02:59
Book 2019ecking, 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 stud作者: prodrome 時間: 2025-3-26 05:56
Einführung in die Systementwicklungs referred to as single-purpose CD-CAT, and the latter dual-purpose CD-CAT. We discuss the main components of CD-CAT in this chapter. These components will be covered in the following order: starting rule, item selection strategies, stopping rule, scoring rule, and item bank development and more specifically online calibration.作者: 泥沼 時間: 2025-3-26 08:59 作者: nitroglycerin 時間: 2025-3-26 15:30
Identifiability and Cognitive Diagnosis Modelsfunction. As many other latent variable models do, the CDMs often suffer from nonidentifiability. This chapter focuses on the identifiability issue of the CDMs and present conditions to ensure identifiability, which can be directly applied to most of the CDMs.作者: 反復無常 時間: 2025-3-26 17:05
2367-170X ar DCMs as well as cutting edge model extensions developed b.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 ar作者: 最高點 時間: 2025-3-27 00:13
https://doi.org/10.1007/978-3-8349-6955-2function. As many other latent variable models do, the CDMs often suffer from nonidentifiability. This chapter focuses on the identifiability issue of the CDMs and present conditions to ensure identifiability, which can be directly applied to most of the CDMs.作者: sacrum 時間: 2025-3-27 05:05 作者: 胖人手藝好 時間: 2025-3-27 07:51 作者: 使習慣于 時間: 2025-3-27 09:40 作者: 外露 時間: 2025-3-27 14:02
Introduction: From Latent Classes to Cognitive Diagnostic Models,c to probabilistic forms. The ensuing sections cover knowledge state and rule space approaches, which can be viewed as deterministic skill-profile models. The chapter closes with a section on the multiple classification latent class model and the deterministic input noisy and (DINA) model.作者: Triglyceride 時間: 2025-3-27 20:45
The G-DINA Model Frameworkgical developments. We will also discuss associated topics, which include model estimation, Q-matrix validation, computerized adaptive testing, and model selection as they relate to the reviewed models.作者: expdient 時間: 2025-3-28 00:24
Measures of Agreement: Reliability, Classification Accuracy, and Classification Consistencyostly express the agreement between the estimated skill and the true skill, or between estimated skills from parallel assessments. This paper provides a review of these measures and demonstrates some of them for a real data example.作者: 不規(guī)則的跳動 時間: 2025-3-28 03:07
https://doi.org/10.1007/978-3-322-82932-0 responses that are impacted by varying underlying components with specifiable sources of complexity. MLTM-D can be applied to assess both processing competencies of examinees and the impact of the postulated features on process difficulty.作者: 功多汁水 時間: 2025-3-28 06:21
https://doi.org/10.1007/978-3-322-84055-4 we separate the model fit methods into four categories defined by two aspects of the methods: (1) the level of the fit analysis, i.e., global/test-level versus item-level; and (2) the choice of the alternative model for comparison, i.e., an alternative CDM (relative fit) or a saturated categorical model (absolute fit).作者: falsehood 時間: 2025-3-28 13:15 作者: LURE 時間: 2025-3-28 15:20 作者: 喚起 時間: 2025-3-28 20:56 作者: 銼屑 時間: 2025-3-28 23:09 作者: Additive 時間: 2025-3-29 05:47 作者: 牛馬之尿 時間: 2025-3-29 08:03 作者: 沒花的是打擾 時間: 2025-3-29 11:23
,Modellierung von Verhalten und Abl?ufen,ng influences the probability of a correct response: Hartz, A Bayesian framework for the Unified Model for assessing cognitive abilities: blending theory with practicality. Dissertation, University of Illinois at Urbana-Champaign, 2001; Roussos, DiBello, Stout, Hartz, Henson, and Templin. The fusion作者: 叢林 時間: 2025-3-29 18:28 作者: 樣式 時間: 2025-3-29 20:27
Interview: Der Senior muss los lassen k?nnenlicly available implementations of parametric estimation methods were scarce and often encountered technical difficulties in practice. In response to these difficulties, a number of researchers explored the potential of methods that do not rely on a parametric statistical model—nonparametric methods作者: ALLAY 時間: 2025-3-30 03:31 作者: intellect 時間: 2025-3-30 04:11
https://doi.org/10.1007/978-3-322-86376-8a way that they lack an overall connective framework. The purpose of this chapter is to review the G-DINA framework. As a general model, it subsumes several simpler and widely-known CDMs; as a general framework, it has also served as the foundation for a variety of model extensions and new methodolo作者: 沐浴 時間: 2025-3-30 08:29 作者: FILTH 時間: 2025-3-30 15:58 作者: Traumatic-Grief 時間: 2025-3-30 19:08 作者: 癡呆 時間: 2025-3-30 22:26 作者: Picks-Disease 時間: 2025-3-31 03:49 作者: groggy 時間: 2025-3-31 05:54
https://doi.org/10.1007/978-3-322-84055-4ls a test-taker has. Much of the research to date has focused on parametric inference in cognitive diagnosis models (CDMs), which requires that the parametric model used for inference does an adequate job of describing the item response distribution of the population of examinees being studied. What作者: TIGER 時間: 2025-3-31 11:52 作者: amphibian 時間: 2025-3-31 16:38
Einführung in die Systementwicklung (Computerized adaptive testing in criterion-referenced testing. In Smith E, Stone G (eds) Applications of Rasch measurement in criterion-reference testing: practive analysis to score reporting. JAM Press, Maple Grove, 2009), which provided a flowchart for a typical CAT, we provide a typical CD-CAT 作者: 雕鏤 時間: 2025-3-31 17:55
https://doi.org/10.1007/978-3-8349-6955-2s with constraints introduced by the .-matrix and assumptions of how skill variables that are assigned to items via the .-Matrix interact in the item function. As many other latent variable models do, the CDMs often suffer from nonidentifiability. This chapter focuses on the identifiability issue of作者: Indebted 時間: 2025-4-1 00:30
The Output of a Queueing System013), Wang, Song, Chen, Meng, and Ding (J Educ Meas 52:457–476, 2015), Johnson and Sinharay (J Educ Meas, 55: 635–664, 2018), and Johnson and Sinharay (J Educ Behav Stat, in press) suggested reliability-like measures for the estimates obtained from a diagnostic classification model. These measures m
