Purpose: The primary purpose of this study was to validate common respiratory calibration methods for estimating lung volume in children. Method: Respiratory kinematic data were collected via inductive plethysmography from 81 typically developing children and nine children with neuromotor disorders. Correction factors for the rib cage and abdomen…

Psycholinguistic research aims to understand how people make sense of language in their everyday lives. However, most of this research studies language under experimental conditions in which people are instructed to specifically monitor (and indicate) when there is a breakdown in their understanding. Moreover, there is an assumption that people…

Factor score regression (FSR) is widely used as a convenient alternative to traditional structural equation modeling (SEM) for assessing structural relations between latent variables. But when latent variables are simply replaced by factor scores, biases in the structural parameter estimates often have to be corrected, due to the measurement error…

The goal of the present study was to address the analytical complexity of incorporating responses and response times through applying the Jeon and De Boeck mixture item response theory model in Mplus 8.7. Using both simulated and real data, we attempt to identify subgroups of responders that are rapid guessers or engage knowledge retrieval…

Given that the usage and complexity of spreadsheets in the accounting profession are expected to increase, it is more important than ever to ensure that accounting graduates are aware of the dangers of spreadsheet errors and are equipped with design skills to minimize those errors. Although spreadsheet mechanics are prevalent in accounting…

In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and…

Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…

This study investigated the potential of using tasks in the Malaysian classroom to facilitate second language (L2) learning, particularly amongst Form 6 (18-year-old) students in the Malaysian secondary school system. These students had undergone 6 years of primary education and 5 years of secondary education in Malaysian public schools. They…

Evidence from recent research suggests that in the UK the public perception of errors in national examinations is that they are simply mistakes; events that are preventable. This perception predominates over the more sophisticated technical view that errors arise from many sources and create an inevitable variability in assessment outcomes. The…

This study investigated whether eye-tracking technology could be employed as a measure of noticing of corrective feedback (in the form of explicit recasts) during NS-NNS task-based synchronous computer-mediated communication (SCMC). Pairs of university-level learners of English (n = 18) engaged in a short chat interaction task with a native…

This report describes the value-added models used as part of teacher evaluation systems in the District of Columbia Public Schools (DCPS) and in eligible DC charter schools participating in "Race to the Top." The authors estimated: (1) teacher effectiveness in DCPS and eligible DC charter schools during the 2011-2012 school year; and (2)…

During school year (SY) 2012-2013, the Bureau of Indian Education (BIE) continued its efforts to improve the validity and reliability of data reporting. BIE data collections are dependent on school level entry (self-reporting) into the Native American Student Information System (NASIS) or into the BIE's Academic Report (formerly the BIEs…

During SY 2011-2012, the Bureau of Indian Education (BIE) continued their efforts to improve the validity and reliability of data reporting. BIE data collections are dependent on school level entry (self-reporting) into the Native American Student Information System (NASIS) or into the BIE's Annual Report from the schools. In addition, data…

This article presents a survey of computer-based tracking in CALL and the uses to which the analysis of tracking data can be put to address questions in CALL in particular and second language acquisition (SLA) in general. Adopting both quantitative and qualitative methods, researchers have found that students often use software in unexpected ways,…

Demonstrates that by using barcodes to identify random lists of books, taking small monthly samples, and updating a simple control chart, one can effectively: (1) pinpoint reasons why library books are unavailable; (2) gauge if corrective actions or changes in procedure are needed; and (3) determine if such actions are successful. Contains two…