This longitudinal study of 17,455 students, the majority from underrepresented groups, investigated leaks in the vertical transfer pipeline from associate's-degree program entry to bachelor's-degree receipt. Investigated were both the size of the leaks and some associated variables. Pipeline progress examinations included quantification of early…

We argue in this paper that there is currently no adequate theoretical framework or model that spans the twelve odd year trajectory from non-reader to proficient reader, nor addresses fine-grain skill acquisition, mastery and integration. The target construct itself, reading proficiency, as often operationalized as an endpoint of formal secondary…

Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…

Observational data typically contain measurement errors. Covariance-based structural equation modelling (CB-SEM) is capable of modelling measurement errors and yields consistent parameter estimates. In contrast, methods of regression analysis using weighted composites as well as a partial least squares approach to SEM facilitate the prediction and…

Emotion recognition application programming interface (API) is a recent advancement in computing technology that synthesizes computer vision, machine-learning algorithms, deep-learning neural networks, and other information to detect and label human emotions. The strongest iterations of this technology are produced by technology giants with large,…

The thriving developer community has a significant impact on the widespread use of R software. To better understand this community, we conducted a study analyzing all R packages available on CRAN. We identified the most popular topics of R packages by text mining the package descriptions. Additionally, using network centrality measures, we…

Background: The increase in the number of autistic children being identified has led to increased demand on public schools to provide high-quality services. Effectively scaling up evidence-based practice (EBP) use for autistic students is challenging, given the complicated organization of special education. Teachers have significant challenges…

Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…

In 2004, the government of Punjab, Pakistan introduced a conditional cash assistance program for girls attending secondary schools. We exploit variations in exposure to the program across cohorts and regions to estimate the long run effects of the program on women's marriage and fertility decisions, maternal healthcare utilization and the health…

Persistent social inequities in the United States demand attention to culturally responsive (CR) teaching, which requires a specific disposition toward students and teaching. Using survey data of secondary teachers (N = 417) in seven urban districts across the country engaging in equity-oriented professional learning (PL) initiatives, we examine…

There is a range of reasons why college students may be underprepared to read, but one possibility is that some college students are below a threshold of proficiency in the component skills of reading. The presence of thresholds means that when students fall below that threshold, their proficiency in that component skill of reading is not…

Teacher-level factors are theoretically linked to student outcomes in data-based instruction (DBI; Lembke et al., 2018). Professional development and ongoing support can increase teachers' knowledge, skills, and beliefs related to DBI, as well as their instructional fidelity (McMaster et al., 2020). However, less is known about how each of these…

Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…

Information about program implementation provides critical information for the interpretation of results from randomized trials. The present study provides an evaluation of the implementation of a Cognitively Guided Instruction mathematics teacher professional development as part of a large scale randomized controlled trial with teachers in first-…

In educational and psychological research, we are often interested in discrete latent states of individuals responding to an assessment (e.g., proficiency or non-proficiency on educational standards, the presence or absence of a psychological disorder). Diagnostic classification models (DCMs; also called cognitive diagnostic models [CDMs]) are a…