An alternative to post hoc model modification in confirmatory factor analysis: The Bayesian lasso.
As a commonly used tool for operationalizing measurement models, confirmatory factor
analysis (CFA) requires strong assumptions that can lead to a poor fit of the model to real …
analysis (CFA) requires strong assumptions that can lead to a poor fit of the model to real …
Item Response Theory--A Statistical Framework for Educational and Psychological Measurement
Item response theory (IRT) has become one of the most popular statistical models for
psychometrics, a field of study concerned with the theory and techniques of psychological …
psychometrics, a field of study concerned with the theory and techniques of psychological …
Empirically indistinguishable multidimensional IRT and locally dependent unidimensional item response models
EH Ip - British Journal of Mathematical and Statistical …, 2010 - Wiley Online Library
Multidimensionality is a core concept in the measurement and analysis of psychological
data. In personality assessment, for example, constructs are mostly theoretically defined as …
data. In personality assessment, for example, constructs are mostly theoretically defined as …
Locally dependent latent class models with covariates: an application to under-age drinking in the USA
Under-age drinking is a long-standing public health problem in the USA and the
identification of underage drinkers suffering alcohol-related problems has been difficult by …
identification of underage drinkers suffering alcohol-related problems has been difficult by …
Copula functions for residual dependency
Most item response theory models are not robust to violations of conditional independence.
However, several modeling approaches (eg, conditioning on other responses, additional …
However, several modeling approaches (eg, conditioning on other responses, additional …
Person-by-item predictors
M Meulders, Y **e - Explanatory item response models: A generalized …, 2004 - Springer
In this chapter we consider the inclusion of person-by-item predictors into the model. Unlike
person predictors or item predictors, person-by-item predictors vary both within and between …
person predictors or item predictors, person-by-item predictors vary both within and between …
Robust measurement via a fused latent and graphical item response theory model
Item response theory (IRT) plays an important role in psychological and educational
measurement. Unlike the classical testing theory, IRT models aggregate the item level …
measurement. Unlike the classical testing theory, IRT models aggregate the item level …
Models for residual dependencies
F Tuerlinckx, P De Boeck - … item response models: A generalized linear …, 2004 - Springer
The models discussed in the previous chapters recognize the clustered structure of data one
is confronted with most often in psychometrics (Le., items within persons). The within-person …
is confronted with most often in psychometrics (Le., items within persons). The within-person …
Projective item response model for test-independent measurement
The problem of fitting unidimensional item-response models to potentially multidimensional
data has been extensively studied. The focus of this article is on response data that contains …
data has been extensively studied. The focus of this article is on response data that contains …
Functionally unidimensional item response models for multivariate binary data
The problem of fitting unidimensional item response models to potentially multidimensional
data has been extensively studied. The focus of this article is on response data that have a …
data has been extensively studied. The focus of this article is on response data that have a …