標(biāo)題: Titlebook: Explanatory Item Response Models; A Generalized Linear Paul Boeck,Mark Wilson Book 2004 Springer Science+Business Media New York 2004 SAS.p [打印本頁(yè)] 作者: 重要 時(shí)間: 2025-3-21 19:19
書目名稱Explanatory Item Response Models影響因子(影響力)
作者: 阻止 時(shí)間: 2025-3-21 23:00 作者: DEFER 時(shí)間: 2025-3-22 00:31 作者: 鋼筆尖 時(shí)間: 2025-3-22 06:30 作者: DEI 時(shí)間: 2025-3-22 11:11
https://doi.org/10.1007/978-1-4757-3990-9SAS; psychometrics; statistical theory作者: 有組織 時(shí)間: 2025-3-22 15:39
Preispolitik im ZahlungsverkehrIn all models discussed thus far in this volume, it has been assumed that the random person weights .. follow a normal distribution with mean 0 and covariance matrix .: ..作者: 有組織 時(shí)間: 2025-3-22 19:18
Mixture ModelsIn all models discussed thus far in this volume, it has been assumed that the random person weights .. follow a normal distribution with mean 0 and covariance matrix .: ..作者: Cpr951 時(shí)間: 2025-3-23 00:47
https://doi.org/10.1007/978-3-7091-7913-0rray of models and data that one can find in the area of item response modeling, (b) to explore different contexts of data analysis than the ‘test data’ context to which item response models are traditionally applied, and (c) to place these models in a larger statistical framework that will enable t作者: Fibroid 時(shí)間: 2025-3-23 04:14
https://doi.org/10.1007/978-3-7091-7865-2ome of them are more complex than the common item response models. On the one hand, all four models provide a measurement of individual differences, but on the other hand we use the models to demonstrate how the effect of person characteristics and of item design factors can be investigated. The mod作者: PATHY 時(shí)間: 2025-3-23 08:21 作者: 微塵 時(shí)間: 2025-3-23 12:19
Steffen H?hne,Andreas B. Kilchertructures, such as multivariate observations, clustered data, repeated measurements (called ‘repeated observations’ in this volume), longitudinal data, and spatially correlated data. In particular, studies are often designed to investigate changes in a specific parameter which is measured repeatedly作者: Culpable 時(shí)間: 2025-3-23 15:25 作者: Spinal-Fusion 時(shí)間: 2025-3-23 19:52 作者: 輕率的你 時(shí)間: 2025-3-24 01:32
Beeinflussung der ?tzergebnissedictors vary both within and between persons. The inclusion of person-by-item predictors besides person predictors or item predictors is relevant for modeling various phenomena such as differential item functioning (DIF) and local item dependencies (LID) (see Zwinderman, 1997). To describe models wi作者: 神圣將軍 時(shí)間: 2025-3-24 03:21 作者: Cerebrovascular 時(shí)間: 2025-3-24 08:25
Handbuch der viruswirksamen Desinfektionre discussed in Chapter 2. The Rasch model assumes item indicators as predictors, so that each item has a specific effect, the weight of the corresponding item indicator. The LLTM explains these effects in terms of item properties, or in other words item properties are used as item predictors. There作者: hair-bulb 時(shí)間: 2025-3-24 14:26 作者: amyloid 時(shí)間: 2025-3-24 15:28 作者: 畏縮 時(shí)間: 2025-3-24 20:43 作者: 不透明 時(shí)間: 2025-3-25 01:52
Multiple person dimensions and latent item predictors with random person weights (following a normal distribution), and with no inclusion of person predictors (except for the constant). The extensions can be applied in much the same way to the other models that were discussed in the first two parts of this book.作者: 難理解 時(shí)間: 2025-3-25 03:50
A framework for item response modelsa’ context to which item response models are traditionally applied, and (c) to place these models in a larger statistical framework that will enable the reader to use a generalized statistical approach and also to take advantage of the flexibility of statistical computing packages that are now available.作者: 入伍儀式 時(shí)間: 2025-3-25 09:54
Person regression modelsgressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then there are two possibilities for modeling, either we can define random school effects, or we can utilize school indicators with fixed effects.作者: 口音在加重 時(shí)間: 2025-3-25 14:04 作者: Constitution 時(shí)間: 2025-3-25 17:17 作者: 繁殖 時(shí)間: 2025-3-25 23:35
Estimation and softwareftware, but only those directly relevant to item response modeling as seen in this volume. Third, we want to illustrate the use of various programs for the estimation of a basic model, the Rasch model, for the verbal aggression data.作者: 噴出 時(shí)間: 2025-3-26 01:29 作者: maudtin 時(shí)間: 2025-3-26 05:50
https://doi.org/10.1007/978-3-662-25636-7agree,” “strongly disagree”). Other examples are multiple-choice items, for which each separate choice option represents another category. In a typical discrete choice experiment, the subject is faced with a choice between several options (e.g., several brands of a product in a marketing study).作者: 繁榮地區(qū) 時(shí)間: 2025-3-26 11:45 作者: abysmal 時(shí)間: 2025-3-26 14:48 作者: 簡(jiǎn)潔 時(shí)間: 2025-3-26 17:51
Steffen H?hne,Andreas B. Kilcher over time in the participating persons. This is in contrast to cross-sectional studies where the response of interest is measured only once for each individual. Longitudinal studies are conceived for the investigation of such changes, together with the evolution of relevant covariates.作者: 雄偉 時(shí)間: 2025-3-27 00:25
Descriptive and explanatory item response modelsels range from descriptive measurement for the case where no such effects are investigated, to explanatory measurement for the case where person properties and/or item properties are used to explain the effects of persons and/or items.作者: implore 時(shí)間: 2025-3-27 03:50 作者: 冷淡一切 時(shí)間: 2025-3-27 06:48 作者: BRIEF 時(shí)間: 2025-3-27 09:33
Models with item and item group predictorsl be described as linear logistic test models (LLTM; Fischer, 1995) with an error term in the prediction of item difficulty. When this random item variation is combined with random person variation, models with . are obtained. All models in this chapter are of that kind.作者: 材料等 時(shí)間: 2025-3-27 17:08
2199-7357 d other social science areas) from the viewpoint of the statThis edited volume gives a new and integrated introduction to item re- sponse models (predominantly used in measurement applications in psy- chology, education, and other social science areas) from the viewpoint of the statistical theory of作者: prostate-gland 時(shí)間: 2025-3-27 21:03
https://doi.org/10.1007/978-3-7091-7913-0a’ context to which item response models are traditionally applied, and (c) to place these models in a larger statistical framework that will enable the reader to use a generalized statistical approach and also to take advantage of the flexibility of statistical computing packages that are now available.作者: 光明正大 時(shí)間: 2025-3-27 23:08
Valentin L. Popov,Markus He?,Emanuel Willertgressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then there are two possibilities for modeling, either we can define random school effects, or we can utilize school indicators with fixed effects.作者: NOVA 時(shí)間: 2025-3-28 02:35 作者: 真繁榮 時(shí)間: 2025-3-28 06:57
Handbuch der viruswirksamen Desinfektionding item indicator. The LLTM explains these effects in terms of item properties, or in other words item properties are used as item predictors. Therefore, the LLTM may be considered an item explanatory model, in contrast with the Rasch model which is descriptive.作者: Diskectomy 時(shí)間: 2025-3-28 11:40 作者: landfill 時(shí)間: 2025-3-28 18:38
2199-7357 predictors are given special attention, but we also discuss descriptive models. Note that the ‘item responses‘ that we are referring to are not just the traditional ‘test data,‘ but are broadly conceived as ca978-1-4419-2323-3978-1-4757-3990-9Series ISSN 2199-7357 Series E-ISSN 2199-7365 作者: aquatic 時(shí)間: 2025-3-28 19:32 作者: A保存的 時(shí)間: 2025-3-29 02:02
Kaiserlichen Normal-Aichungs-Kommissionon also denoted as . (LIDs). Situations in which residual dependencies may occur are ample. Consider for instance the case where items of a reading test can be subdivided into groups of items each sharing the same reading passage. Data from a test with reading passages may show more dependencies tha作者: 創(chuàng)造性 時(shí)間: 2025-3-29 03:06 作者: 忍受 時(shí)間: 2025-3-29 11:09 作者: 吼叫 時(shí)間: 2025-3-29 12:44
Descriptive and explanatory item response modelsome of them are more complex than the common item response models. On the one hand, all four models provide a measurement of individual differences, but on the other hand we use the models to demonstrate how the effect of person characteristics and of item design factors can be investigated. The mod作者: 有常識(shí) 時(shí)間: 2025-3-29 19:18 作者: Introduction 時(shí)間: 2025-3-29 22:33 作者: Vasoconstrictor 時(shí)間: 2025-3-30 01:35
Person regression modelsng person characteristics as predictors. The resulting models can be called latent regression models, since the latent person abilities (the .) are regressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then t
