A Monte Carlo Study of an Iterative Wald Test Procedure for DIF Analysis
نویسندگان
چکیده
منابع مشابه
An iterative Monte Carlo method for nonconjugate Bayesian analysis
The Gibbs sampler has been proposed as a general method for Bayesian calculation in Gelfand and Smith (1990). However, the predominance of experience to date resides in applications assuming conjugacy where implementation is reasonably straightforward. This paper describes a tailored approximate rejection method approach for implementation of the Gibbs sampler when nonconjugate structure is pre...
متن کاملMonte Carlo Procedure for Protein
A new method for sequence optimization in protein models is presented. The approach, which has inherited its basic philosophy from recent work by Deutsch and Kurosky Phys. Rev. Lett. 76, 323 (1996)] by maximizing conditional probabilities rather than minimizing energy functions, is based upon a novel and very eecient multisequence Monte Carlo scheme. By construction, the method ensures that the...
متن کاملan exploratory study of differential item functioning (dif) in efl reading comprehension
بررسی دلایل عملکرد متفاوت سوالات آزمون درک مطلب به زبان خارجی تاریخچه ی تحقیق درباره ی منابع عملکرد مختلف سوالات (دیف) در آزمون درک مطلب پر است از مجموعه ای از متغیرهای فرضیه ای که چند مورد از مهمترین آنها عبارتند از: جنسیت، آشنایی با موضوع متن، علاقه به موضوع یا محتوای متن، حدس زدن، و عوامل بافت اجتماعی (پی 2004؛ زومبو و گلین 2005). مطالعه حاضر با استناد به فلسفه ی انکارپذیری پوپر عوامل ذکر...
15 صفحه اولIterative Monte Carlo for quantum dynamics.
We present a fully quantum mechanical methodology for calculating complex-time correlation functions by evaluating the discretized path integral expression iteratively on a grid selected by a Monte Carlo procedure. Both the grid points and the summations performed in each iteration utilize importance sampling, leading to favorable scaling with the number of particles, while the stepwise evaluat...
متن کاملAn Improved Acceptance Procedure for the Hybrid Monte Carlo Algorithm
The probability of accepting a candidate move in the hybrid Monte Carlo algorithm can be increased by considering a transition to be between windows of several states at the beginning and end of the trajectory, with a state within the selected window being chosen according to the Boltzmann probabilities. The detailed balance condition used to justify the algorithm still holds with this procedur...
متن کاملذخیره 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: Educational and Psychological Measurement
سال: 2016
ISSN: 0013-1644,1552-3888
DOI: 10.1177/0013164416637104