This study involves the development and validation of a survey that measures college students' digital readiness for academic engagement in terms of their perceived digital competencies for academic work. Both exploratory and confirmatory analyses were employed to assess the factorial structure of the Digital Readiness for Academic Engagement…

The topic of this study was student motivation and intention to graduate at a for-profit university. The research problem addressed is only 23% of bachelor's degree-seeking students at for-profit universities persist to graduate within six years. Students who leave without graduating incur more debt and earn less money over time. Grounded in an…

We examined the psychometric properties of the School Attitude Assessment Survey-Revised in a Spanish population (n = 1,398). Confirmatory factor analysis procedures supported the instrument's five-factor structure. The results of discriminant analysis demonstrated the predictive power of the School Attitude Assessment Survey-Revised scales as…

This study examined whether web-based phonological awareness (PA) assessment in early childhood, specifically the year preceding formal schooling, could help educators reliably predict children's risk for reading difficulties in the first year of school. Ninety Australian children participated in several web-based PA tasks with a high priority…

Epistemic beliefs are individual beliefs about knowledge and knowledge acquisition. Empirical studies indicate that learners' epistemic beliefs influence their learning processes and success (e.g. motivation, text comprehension, learning strategy selection, grades). Teachers and trainers can support their apprentices in developing preferable…

In school classes students influence each other at conscious and subconscious levels and therefore, students' shared perceptions are considered meaningful for the development of the individual student. This article identified situations where students' class-average perceptions of autonomy support add to the predictive validity of students'…

Early identification of primary language delay is crucial to implement effective prevention programs. Available screening instruments are based on parents' reports and have only insufficient predictive validity. This study employed observational measures of preverbal infants' gestural communication to test its predictive validity for identifying…

Over 30 states have adopted the Early Childhood Environmental Rating Scale-Revised (ECERS-R) as a component of their program quality assessment systems, but the use of ECERS-R on such a large scale has raised important questions about implementation. One of the most pressing question centers upon decisions users must make between two scoring…

Morphological skills have previously been found to reliably predict reading skill, including word reading, vocabulary, and comprehension. However, less is known about how morphological skills might contribute to writing skill, aside from its well-documented role in the development of spelling. This correlational study examines whether…

Approaches to correcting correlation coefficients for range restriction have been developed under the framework of large sample theory. The accuracy of missing data techniques for correcting correlation coefficients for range restriction has thus far only been investigated with relatively large samples. However, researchers and evaluators are…

This paper outlines the development of practical measures of productive persistence using digital learning system data. Practical measurement refers to data collection and analysis approaches originating from improvement science; productive persistence refers to the combination of academic and social mindsets as well as learning behaviours that…

In a sequential OSCE which has been suggested to reduce testing costs, candidates take a short screening test and who fail the test, are asked to take the full OSCE. In order to introduce an effective and accurate sequential design, we developed a model for designing and evaluating screening OSCEs. Based on two datasets from a 10-station…

Measuring individual differences in children's emerging language abilities is important to researchers and clinicians alike. The 2 most widely used methods for assessing children's vocabulary both have limitations: Experimenter-administered tests are time-consuming and expensive, and parent questionnaires have only been designed for children up to…

In the present study, we considered the utility of the prototype/willingness model in predicting alcohol use among North-American Indigenous adolescents. Specifically, using longitudinal data, we examined the associations among subjective drinking norms, positive drinker prototypes, drinking expectations (as a proxy of drinking willingness), and…

A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…