The analysis of spoken language has been integral to a breadth of research in social science and beyond. However, for analyses to occur with efficiency, language must be in the form of computer-readable text. Historically, the speech-to-text process has occurred manually using human transcriptionists. Automated speech recognition (ASR) is…

Our study proposes the use of a free classification task for investigating the dimensions used by listeners in their perception of nonnative sounds and for predicting the perceptual discriminability of nonnative contrasts. In a free classification task, participants freely group auditory stimuli based on their perceived similarity. The results can…

Language disorder is characterized by difficulty with the comprehension and production of different aspects of language. School-aged children with developmental language disorder (DLD) and school-aged children with Down syndrome (DS) demonstrate similar deficits in the area of morphosyntax, which often creates barriers during social interactions…

Accurate knowledge monitoring is critical to the learning process, as it allows one to regulate studying and test preparation. Thus, a number of investigations have attempted to improve metacognition in the classroom, with the ultimate goal of improving student exam performance. However, such interventions have had inconsistent success using…

Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction…

Every news story depends on human memory one way or the other; in particular, eyewitness accounts. However, the amount of scholarly research on eyewitness misidentification in the fields of journalism and mass communication is minimal, whereas a plethora of studies is available in other disciplines. Journalism textbooks could fill that void by…

Rater-mediated assessments require the evaluation of the accuracy and consistency of the inferences made by the raters to ensure the validity of score interpretations and uses. Modeling rater response processes allows for a better understanding of how raters map their representations of the examinee performance to their representation of the…

The identification of rapid guessing is important to promote the validity of achievement test scores, particularly with low-stakes tests. Effective methods for identifying rapid guesses require reliable threshold methods that are also aligned with test taker behavior. Although several common threshold methods are based on rapid guessing response…

In this study, we examined the effects of multiple reference pitch sources on collegiate singers' accuracy in pitch-matching and intonation tasks. We also investigated which reference pitch source participants preferred and for what reasons. Participants (N = 99) sang a two-measure excerpt of "Joseph Dearest, Joseph Mine" after listening…

We would like to share a problem with you that has some subtle features. We will examine how we believe students may approach this problem -- students that we shall characterize as "marginal," "good," and "exceptional" for convenience of discussion. We will see that one can use the incorrect response of the good…

Mistakes are a window into students' mathematical understanding. Taking the time to analyze mistakes can inform you of where students are in their thinking. They can also guide you with respect to how to proceed with instruction. Introduced here are two categories of mistakes: meaty mistakes and minor mistakes. Meaty mistakes demonstrate gaps in…

For equating tests that measure several distinct proficiencies, procedures that reflect the multidimensional structure of the data are needed. Although there exist a few equating procedures developed under the multidimensional item response theory (MIRT) framework, there is a need for further research in this area. Therefore, the primary…

Classification accuracy is a key characteristic of screening tools. A goal in classification accuracy is to correctly identify issues that result in a later problem and situations in which the scores identify issues that do not result in a later problem.

Recent trends in vaccine hesitancy have brought to light the importance of using accurate school vaccination data. This study evaluated the accuracy of a pilot statewide kindergarten vaccination survey in Oklahoma. School vaccination and exemption data were collected from November 2017 to April 2018 via the Research Electronic Data Capture system.…

The integration of artificial intelligence (AI) in L2 teaching and learning is poised to revolutionise educational practices by enhancing both instructional methods and language development for L2 learners. This study employed a mixed-methods design to comprehensively examine the impact of AI tools, machine translation systems, and traditional…