کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6870789 681141 2013 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multivariate zero-inflated modeling with latent predictors: Modeling feedback behavior
ترجمه فارسی عنوان
مدل سازی چند متغیره صفر با پیش بینی های پنهان: رفتار بازخورد مدل سازی
کلمات کلیدی
رفتار بازخورد، پیش بینی های خاموش، داده های شمارش شده با مقدار صفر، زمان پاسخ مورد، مدل نرمال پواسون، پواسون مدل گاما،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
چکیده انگلیسی
In educational studies, the use of computer-based assessments leads to the collection of multiple outcomes to assess student performance. The student-specific outcomes are correlated and often measured in different scales, such as continuous and count outcomes. A multivariate zero-inflated model with random effects is proposed and adapted for the challenging situation where the multiple outcomes are zero-inflated and possibly right truncated. The joint model consists of a Bernoulli component to deal with the problem of extra zeros, and a multivariate truncated component to model correlated mixed response outcomes from the same subject. In a Bayesian modeling approach, MCMC methods are used for parameter estimation. Using a simulation study, it is shown that the within-individual correlation between counts can be accurately estimated together with the other model parameters. The multivariate zero-inflated model is applied to a computer-based feedback study about computer literacy, where first-year bachelor students were given the opportunity to receive additional feedback. The total number of feedback pages visited and the total feedback processing time are modeled using a Poisson and a Gamma distribution, respectively. The joint modeling framework is extended to incorporate explanatory latent variables (student performance and speed of working), to explore individual heterogeneity in feedback behavior in a computer-based assessment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 68, December 2013, Pages 361-374
نویسندگان
,