There is empirical evidence to suggest that oral language and vocabulary on entering kindergarten are the best predictors of later reading success. Identifying skills that are predictive of later achievement using psychometrically sound measurement methods is a necessary component of early intervention efforts. Currently, there are limited methods…

Dynamic assessment methods, initially developed by Feuerstein in the 1970s, have been recommended as being more equitable for identifying the academic abilities of students who may not perform well on traditional assessments due to these learners' cultural, linguistic, or economic differences from the population for whom the traditional measures…

In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…

Knowledge tracing is a fundamental area of educational data modeling that aims at gaining a better understanding of the learning occurring in tutoring systems. Knowledge tracing models fit various parameters on observed student performance and are evaluated through several goodness of fit metrics. Fitted parameter values are of crucial interest in…

Curricular changes that promote undergraduate persistence in science, technology, engineering, and mathematics (STEM) disciplines are likely associated with particular student psychological outcomes, and tools are needed that effectively assess these developments. Here, we describe the theoretical basis, psychometric properties, and predictive…

We report on a new measure of maternal affect from an ongoing multi-site birth cohort study with primarily low-income families, the Fragile Families and Child Wellbeing Study. At child age of 5?years, mothers were asked to describe their child in a short, semi-structured home interview. One innovation of this measure--called the Maternal…

PBIS is has been consistently correlated with reductions in student exclusion including suspensions, expulsions, poor attendance, and high school dropout rates. However, school-wide strategies that do not specifically involve effective instruction in academic areas are unlikely to result in increased academic achievement. To address this reality,…

The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…

The Devereux Student Strengths Assessment Mini (DESSA-Mini; Naglieri, LeBuffe, & Shapiro, 2011/2014) was designed to overcome practical obstacles to universal prevention screening. This article seeks to determine whether an entirely strength-based, 8-item screening instrument achieves technical accuracy in routine practice. Data come from a…

Critically examining common statistical approaches and their strengths and weaknesses is an important step in advancing recreation and leisure sciences. To continue this critical examination and to inform methodological decision making, this study compared three approaches to determine how alternative approaches may result in contradictory…

Typically, only a minority of applicants to health professional training are invited to interview. However, pre-interview measures of cognitive skills predict for national licensure scores (Gauer et al. in "Med Educ Online" 21 2016) and subsequently licensure scores predict for performance in practice (Tamblyn et al. in "JAMA"…

Policy makers, school practitioners, and scholars around the world have been searching for better school improvement models. The purpose of this study was to understand how an instrument we developed, Orientation to School Renewal, can be used to predict school-level academic achievement. We used the instrument to predict the academic performance…

Autism spectrum disorders (ASD) are difficult to detect in old age. This study examined if ASD symptoms in older adults (age > 60) can be detected with the Dutch informant personality questionnaire, (Hetero-Anamnestische Persoonlijkheidsvragenlijst, HAP) in a mental health setting. Patients with ASD (N = 40) were compared to patients with a…

A relatively simple way of measuring institutional effectiveness in relation to degree completion is to estimate the difference between an actual and predicted graduation rate, but the reliability and validity of this method have not been thoroughly examined. Longitudinal data were obtained from IPEDS for both public and private not-for-profit…

Objective: Organizational climate has emerged as an important factor in understanding and addressing the complexities of providing services in child welfare. This research examines the psychometric properties of each of the dimensions of Parker and colleagues' Psychological Climate Survey in a sample of voluntary child welfare workers. Methods:…