This study examined the use of Bayesian analysis methods for the estimation of item parameters in a two-parameter logistic item response theory model. Using simulated data under various design conditions with both informative and non-informative priors, the parameter recovery of Bayesian analysis methods were examined. Overall results showed that…

Brian Kotz is Professor of Mathematics and Statistics at Montgomery College. He is a former member of the American Statistical Association/American Mathematical Association of Two-Year Colleges (ASA)/(AMATYC) Joint Committee and the current chair of the AMATYC Data Science Subcommittee. This interview took place via email on November 23,…

In this digital ITEMS module, we introduce the framework of nonparametric item response theory (IRT), in particular Mokken scaling, which can be used to evaluate fundamental measurement properties with less strict assumptions than parametric IRT models. We walk through the key distinction between parametric and nonparametric models, introduce the…

With this article, we propose using a Bayesian multilevel latent class (BMLC; or mixture) model for the multiple imputation of nested categorical data. Unlike recently developed methods that can only pick up associations between pairs of variables, the multilevel mixture model we propose is flexible enough to automatically deal with complex…

The aim of the present research study was to compare the findings from the nonparametric MSA, DIMTEST and DETECT and the parametric dimensionality determining methods in various simulation conditions by utilizing exploratory and confirmatory methods. For this purpose, various simulation conditions were established based on number of dimensions,…

Throughout the different phases of a drug development program, randomized trials are used to establish the tolerability, safety and efficacy of a candidate drug. At each stage one aims to optimize the design of future studies by extrapolation from the available evidence at the time. This includes collected trial data and relevant external data.…

This book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of…

The National Center for Education Statistics (NCES) Education Demographic and Geographic Estimates (EDGE) program develops data resources and information to help data users investigate the social and spatial context of education. School point locations (latitude/longitude values) are a key component of the NCES data collection. These data are…

Purpose: This study aims to examine the influence of relational capital quality on client loyalty, comprising both behavioral and attitudinal, in the pharmaceutical industry of Pakistan. Design/methodology/approach: The partial least squares technique is used to test the relationship using a sample of 111 pharmaceutical firms. We applied a…

One of the most commonly identified obstacles in the learning-teaching of quantitative material is statistics anxiety. Of the factors analysed in relation to statistics anxiety, age and gender have received a substantial proportion of the research focus. Yet there is limited work that systematically examines the possibility of an…

A multidimensional Bayesian item response model is proposed for modeling item position effects. The first dimension corresponds to the ability that is to be measured; the second dimension represents a factor that allows for individual differences in item position effects called persistence. This model allows for nonlinear item position effects on…

Since the release of "4%" objective of fiscal educational expenditure to GDP in 2012, the Chinese governments at all levels have frequently formulated or changed education finance policy in light of the complex situation of China's economic development. The policy changes have ensured the steady growth of education financial investment,…

The present study aimed to investigate the relationship between students' academic motivation, implicit beliefs about intelligence and learning strategies among undergraduate healthcare students. First-year students of healthcare degree courses from a university in Southern Italy were surveyed. The study measured psychological constructs by means…

In light of the replication crisis in psychology, null-hypothesis significance testing (NHST) and "p"-values have been heavily criticized and various alternatives have been proposed, ranging from slight modifications of the current paradigm to banning "p"-values from journals. Since the physics education research community…

This paper argues that an Arts-Based Research (ABR) methodology, drawing on the Ethnofiction work of filmmaker Jean Rouch, can facilitate new ways of researching mathematics, science and education more generally by: (i) making past learning experiences more accessible and (ii) considering the affective engagement of the audience as interrogator of…