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For analyzing item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear...
Persistent link: https://www.econbiz.de/10009477625
Chapter 1 is concerned with confidence interval construction for the mean of a long-range dependent time series. It is well known that the moving block bootstrap method produces an inconsistent estimator of thedistribution of the normalized sample mean when its limiting distribution is not...
Persistent link: https://www.econbiz.de/10009477845
Educators are seeking out mechanisms for reporting diagnostic information about the strengths and weaknesses of each student. Cognitive diagnostic assessment (CDA) is a form of assessment that could facilitate the educators in discovering their students' strengths and weaknesses. In CDA, the...
Persistent link: https://www.econbiz.de/10009477776
It has long been part of the Item Response Theory (IRT) folklore that under the usual empirical Bayes unidimensional IRT modeling approach, the posterior distribution of examinee ability given test response is approximately normal for a long test. Under very general non-parametric assumptions,...
Persistent link: https://www.econbiz.de/10009484429
Modeling the processes underlying social network and attribute change allows researchers to better identify and understand dependencies present amongactors — people, places, or things. The connections that exist among these actors change over time, depend on the presence or absence of other...
Persistent link: https://www.econbiz.de/10009477626
The simultaneous and nonparametric estimation of latent abilities and item characteristic curves is considered. In particular, the joint asymptotic properties of ordinal ability estimation and kernel smoothed nonparametric item characteristic curve estimation is investigated under relatively...
Persistent link: https://www.econbiz.de/10009477873
The approach described in this talk starts with Bock's (1972) nominal response model (NRM). The NRM is a multinomial logistic regression model for responses to items where the ordering of response options is not known a priori and the predictor or explanatory variable is unobserved (i.e., the...
Persistent link: https://www.econbiz.de/10009477768
The first part of this thesis, Chapter 2 through Chapter 4, explores procedures for assessing latent test dimensionality. In Chapter 2, the structure and theoretical properties of conditional item pair covariances given a latent composite are thoroughly investigated. Such information is useful...
Persistent link: https://www.econbiz.de/10009484419