This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…

Linguistic phenomena (e.g., words and syntactic structure) co-occur with a wide variety of meanings. These systematic correlations can help readers to interpret a text and create predictions about upcoming material. However, to what extent these correlations influence discourse processing is still unknown. We address this question by examining…

When analyzing treatment effects on test scores, researchers face many choices and competing guidance for scoring tests and modeling results. This study examines the impact of scoring choices through simulation and an empirical application. Results show that estimates from multiple methods applied to the same data will vary because two-step models…

This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…

The Mantel-Haenszel estimator is one of the most popular techniques for measuring differential item functioning (DIF). A generalization of this estimator is applied to the context of DIF to compare items by taking the covariance of odds ratio estimators between dependent items into account. Unlike the Item Response Theory, the method does not rely…

In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…

The goal of this study was to investigate the nature of online comprehension monitoring, its predictors, and its relation to reading comprehension. Questions were concerned with (a) beginning readers' sensitivity to inconsistencies, (b) predictors of online comprehension monitoring, and (c) the relation of online comprehension monitoring to…

The goal of this study was to investigate the nature of online comprehension monitoring, its predictors, and its relation to reading comprehension. Questions were concerned with (a) beginning readers' sensitivity to inconsistencies, (b) predictors of online comprehension monitoring, and (c) the relation of online comprehension monitoring to…

This simulation study examines the characteristics of the Explanatory Item Response Model (EIRM) when estimating treatment effects when compared to classical test theory (CTT) sum and mean scores and item response theory (IRT)-based theta scores. Results show that the EIRM and IRT theta scores provide generally equivalent bias and false positive…

This study identified distinct, homogeneous latent profiles of at-risk (n = 141) and not at-risk (n = 149) first grade readers. Separate latent profile analyses were conducted with each subgroup using measures of phonological awareness, decoding, linguistic comprehension, and oral reading fluency. This study also examined which measures best…

The purpose of this research is describing and comparing the listening-comprehension strategies used by the students who are identified as successful and less successful about listening. In the research, the case study pattern was used among the qualitative research approaches. In the study, different situations of each student within the same…

One of the most important findings to emerge from recent reading comprehension research is that there are large differences between tests in what they assess--specifically, the extent to which performance depends on word recognition versus listening comprehension skills. Because this research used ordinary least squares regression, it is not clear…

The present article aimed to explore how the development of reading comprehension is affected when its cognitive basis is compromised. The simple view of reading was adopted as the theoretical framework. The study followed 76 children with mild intellectual disabilities (average IQ = 60.38, age 121 months) across a period of 3 years. The children…

Statistical education is a very important area of research because it builds knowledge and promotes innovation in the courses of this discipline. Based on the advances in this area, changes in the content and approaches of the courses at all educational levels have been promoted in several countries. In this study, we examine programs of…

The current study reports the results of a project aimed at assessing L2 listening comprehension by drawing on two approaches to dynamic assessment: interventionist and interactionist. The former approach was actualized by providing two graduated hints which were fixed and standardized for all test takers while the latter was actualized by asking…