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Publications (19)
We examined whether English language proficiency (ELP) related to interim reading and math performance differently when academic assessments were administered to students in either English or Spanish. We also tested these effects with Spanish language proficiency (SLP) as well as jointly with ELP and SLP. Students from a midwestern suburban school...
Current methods of calculating risk probability in universal screening do not fully account for sources of uncertainty in risk estimation. Bayesian ordinal regression models (BORMs) have promise in advancing recent research on post-test probabilities using interval likelihood ratios (Klingbeil et al., 2019; 2021) in the context of universal screeni...
Structural equation models (SEM) are a method of latent variable analysis that offer a high degree of flexibility in terms of modeling methods for applied research questions. Recent advancements associated with longitudinal SEM have unlocked innovative ways to decompose variance and to estimate mean trends over time (e.g., Allison et al., 2017; Ber...
Links between reading and math are ubiquitous, but few studies examine causal mechanisms between reading and math. Using open randomized reading intervention data (Connor et al., 2013; van Dijk et al., 2022), we examined a reading intervention’s impact on calculation fluency and problem-solving growth as well as the mechanisms of reading interventi...
Determining how individuals learn, what practices promote that learning, and what kinds of policies support those practices is the primary goal of most education research. These questions of “what works” rely on rigorous research designs that clearly articulate causal questions. In the education realm, many different kinds of studies can help addre...
Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum‐based measures. Data were collected from elementary students in Grades 2–5, approximately 700 to 850 students in each grade (47%–54% female; 78%–79% White, 10%–11% Bla...
The Opportunity-Propensity Model (OPM) specifies that antecedents (demographics that predict opportunities and propensities occurring before formal schooling), opportunities (exposure to experiences afforded in the home, community, and school), and propensities (pre-existing skills that help children take advantage of opportunities) work in concert...
Using kindergarten up to fourth-grade data from the Early Childhood Longitudinal Study (2010-2011 cohort), we investigated systematic variability in English language learners' (ELLs; n = 303) mathematics growth as well as relations of kindergarten language growth and working memory (WM) to ELLs' mathematics growth. Using growth mixture modeling, on...
The current study examined the validity of curriculum-based measures (CBM) in mathematics computation (M-COMP) and oral reading fluency (R-CBM) in predicting spring mathematics and reading performance level and performance risk (>1 SD below the national mean) among students classified as English Learners (ELs). Additionally, the current study asses...
Structural equation models (SEM) are a method of latent variable analysis that offer a high degree of flexibility in terms of modeling methods for applied research questions. Recent advancements of longitudinal SEM have unlocked innovative ways to decompose variance and to estimate mean trends over time (e.g., Allison et al., 2017; Berry & Willough...
We examined whether English language proficiency (ELP) related to interim reading and math performance differently when academic assessments were administered to students in either English or Spanish. We also tested these effects with Spanish language proficiency (SLP) as well as jointly with ELP and SLP. Students from a midwestern suburban school...
The Opportunity-Propensity Model (OPM) specifies that antecedents (demographics that predict opportunities and propensities occurring before formal schooling), opportunities (exposure to experiences afforded in the home, community, and school), and propensities (pre- existing skills that help children take advantage of opportunities) work in concer...
The purpose of this study was to examine whether seventh-grade positive peer affiliation and conduct problems mediated the relationship between sixth-grade parental monitoring of behavior and eighth-grade school participation and grades among students with elevated behavior ratings (EBR; n = 821) and students with unelevated behavior ratings (UBR;...
Math computation is a foundational skill for students developing higher-level mathematics problem-solving skills and represents a primary deficit for students struggling in mathematics. Students with mathematics difficulties also tend to have difficulties with other executive functions. One domain that is systematically part of most mathematical co...
Responsive school mental health services require proactive family engagement at the outset of prevention and early intervention, particularly across key transition periods such as kindergarten. Universal screening for mental health is one important process within a school mental health framework to proactively engage families in a collaborative dat...
Determining the effectiveness of core mathematics curricula is foundational to evidence-based practice. Examining effectiveness heterogeneity is also crucial to better understanding mathematics achievement among English language learners (ELLs). In this study, we used a quasi-experimental design (difference-in-differences) to examine the impact of...
The purpose of this study was to examine the factor structure of the Family Involvement Questionnaire–Elementary Version with families in Belize. Participants were 185 primary caregivers of children in primary education settings in Belize. Caregivers were given the Family Involvement Questionnaire–Elementary Version to measure their educational inv...
Interventions that prompt learners to generate their own ideas about how material is valuable are promising for inspiring engagement. Drawing from research on the availability bias, we investigated how the learners’ subjective experience of generating ideas about the value of a domain (i.e., ease of coming up with ideas) affects perceptions of the...