Results 251 to 260 of about 20,299,108 (307)

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

A General Approach for Estimating Projective IRT Models. [PDF]

Appl Psychol Meas
Chalmers RP, Falk CF, Reise SP.
europepmc   +1 more source

The development of the ScoPeO-Kids: A new measure of quality of life for children living in contexts of vulnerability. [PDF]

PLOS Glob Public Health
Higgins J, Poissant L, Legoff S, Archambaud L, Brus A.   +4 more
europepmc   +1 more source

A Comparison of Item Selection Methods and Parameter Estimation Approaches for Online Calibration in Computerized Adaptive Testing. [PDF]

Educ Psychol Meas
Ertuna L, Glas CAW, Atar B.
europepmc   +1 more source

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A Taxonomy of Item Response Models

Psychometrika, 1986
A number of models for categorical item response data have been proposed in recent years. The models appear to be quite different. However, they may usefully be organized as members of only three distinct classes, within which the models are distinguished only by assumptions and constraints on their parameters.
Thissen, David, Steinberg, Lynne
openaire   +1 more source

An Item Response Model with Internal Restrictions on Item Difficulty

Psychometrika, 1998
An IRT model based on the Rasch model is proposed for composite tasks, that is, tasks that are decomposed into subtasks of different kinds. There is one subtask for each component that is discerned in the composite tasks. A component is a generic kind of subtask of which the subtasks resulting from the decomposition are specific instantiations with ...
Butter, R., de Boeck, P., Verhelst, N.D.
openaire   +2 more sources

Item Response Models

1985
The purpose of this chapter is to introduce a wide array of mathematical models that have been used in the analysis of educational and psychological test data. Each model consists of (1) an equation linking (observable) examinee item performance and a latent (unobservable) ability and (2) several of the assumptions described in chapter 2 plus others ...
Ronald K. Hambleton, Hariharan Swaminathan   +1 more
openaire   +1 more source

Item Response Modeling

2011
Item response models are applied for analyzing item scores of psychological and intelligence tests, and they are based on exponential relationships between the psychological traits and the item responses (Baker and Kim 2004; De Boeck and Wilson 2004). Items are usually questions with “yes” or “no” answers.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

On the Complexity of Item Response Theory Models

Multivariate Behavioral Research, 2017
Complexity in item response theory (IRT) has traditionally been quantified by simply counting the number of freely estimated parameters in the model. However, complexity is also contingent upon the functional form of the model. We examined four popular IRT models-exploratory factor analytic, bifactor, DINA, and DINO-with different functional forms but ...
Wes, Bonifay, Li, Cai
openaire   +2 more sources

A Response Model for Multiple-Choice Items

Psychometrika, 1984
We introduce an extended multivariate logistic response model for multiple choice items; this model includes several earlier proposals as special cases. The discussion includes a theoretical development of the model, a description of the relationship between the model and data, and a marginal maximum likelihood estimation scheme for the item parameters.
David Thissen, Lynne Steinberg
openaire   +1 more source