Explanatory Cognitive Diagnostic Models: Incorporating Latent and Observed Predictors

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The explanatory autonomy of cognitive models

1. Many models, one world The mind/brain, like any other complex system, can be modeled in a variety of ways. 1 Some of these involve ignoring or abstracting from most of its structure: for the purpose of understanding overall glucose metabolism in the body, we can neglect the brain’s intricate internal organization and treat it simply as a suitably discretized homogeneous mass having certain e...

متن کامل

Incorporating Nonrandom Direct Marketing Activity into Latent Attrition Models

Latent attrition models serve as the foundation for analyzing transactional customer relationships to derive forecasts of customer behavior and value. Yet, extant models often overlook the effects of direct marketing and how it is individually targeted. We propose a parsimonious model that allows for direct marketing to impact the frequency with which transactions occur, the monetary amount of ...

متن کامل

Incorporating Boosted Regression Trees into Ecological Latent Variable Models

Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit models of the ecological phenomenon of interest and the process by which it is observed. However, existing latent variable methods rely on handformulated parametric models, which are expensive to design and require extensiv...

متن کامل

Identifiability of latent class models with many observed variables

While latent class models of various types arise in many statistical applications, it is often difficult to establish their identifiability. Focusing on models in which there is some structure of independence of some of the observed variables conditioned on hidden ones, we demonstrate a general approach for establishing identifiability, utilizing algebraic arguments. A theorem of J. Kruskal for...

متن کامل

Learning Gaussian Graphical Models with Observed or Latent FVSs

Gaussian Graphical Models (GGMs) or Gauss Markov random fields are widelyused in many applications, and the trade-off between the modeling capacity andthe efficiency of learning and inference has been an important research prob-lem. In this paper, we study the family of GGMs with small feedback vertexsets (FVSs), where an FVS is a set of nodes whose removal breaks all the cycles...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Applied Psychological Measurement

سال: 2017

ISSN: 0146-6216,1552-3497

DOI: 10.1177/0146621617738012