Menstrual symptoms may negatively impact academic achievement, but rigorous population-based studies are lacking. 2,698 participants from the Avon Longitudinal Study of Parents and Children (ALSPAC) self-reported heavy or prolonged bleeding and menstrual pain during adolescence and multivariable regression were used to estimate associations with…

Unproctored Computerized Adaptive Testing (CAT) is gaining traction due to its convenience, flexibility, and scalability, particularly in high-stakes assessments. However, the lack of proctor can give rise to aberrant testing behavior. These behaviors can impair the validity of test scores. This paper explores the use of a verification test to…

Second language (L2) viewing with captions (i.e., L2 on-screen text) is now a proliferating as well as promising area of L2 acquisition research. The goal of the present meta-analysis was to examine (a) the relationship between captioned viewing and incidental vocabulary learning and (b) what variables related to learners, treatment, methodology,…

Many parents use social media to gather word-of-mouth regarding schools' performance, subsequently influencing their school choice decisions. Yet, it's unclear how well online opinions reflect schools' actual academic performance. To address this gap, this study uses machine learning to examine whether the online evaluations of students' learning…

The number of English learners (ELs) enrolled in public schools has grown substantially in the United States over the past two decades. The growth is especially large in states in the South and Midwest that have not been traditional destinations for recent immigrants. In this study, we examine the effects of new ELs on students in receiving…

We study the effects of parenting style on students' school performance, assuming that immigrant parents' child-rearing strategies derive from their country of origin. Following Doepke and Zilibotti [2017. Parenting with style: Altruism and paternalism in intergenerational preference transmission. "Econometrica," 85(5), 1331--1371.…

As a crucial method in organizational and social behavior research, self-report surveys must manage method bias. Method biases are distorted scores in survey response, distorted variance in variables, and distorted relational estimates between variables caused by method designs. Studies on method bias have focused on "post hoc"…

Recent research has leveraged peer assessment as a grading system tool where learners are involved in learning and evaluation. However, there is limited knowledge regarding individual differences, such as personality, in peer assessment tasks. We analyze how personality factors affect the peer assessment dynamics of a semester-long remote learning…

Operational definitions have a significant history in applied behavior analysis. The practice's importance stems from the role operational definitions play in detecting an event, human thought, or action. While operationalizing target behaviors has enjoyed widespread practice, some concerns have recently arisen with translation validity and…

Metacognition is important for successful goal-directed behavior. It consists of two main elements: metacognitive knowledge and online awareness. Online awareness consists of monitoring and self-regulation. Metacognitive sensitivity is the extent to which someone can accurately distinguish their own correct from incorrect responses and is an…

First-year seminars (FYS) comprise one of 11 researched interventions in postsecondary education known as High-Impact Practices, but few rigorous studies report significantly high impacts. This study examined a FYS employing propensity score matching to link cases and controls in a quasi-experimental design. One semester later cumulative grade…

We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…

The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor…

First impressions can influence rater-based judgments but their contribution to rater bias is unclear. Research suggests raters can overcome first impressions in experimental exam contexts with explicit first impressions, but these findings may not generalize to a workplace context with implicit first impressions. The study had two aims. First, to…

Well-designed academic interventions can give students the targeted support they need to build confidence, improve specific skills, and reach their full academic potential. This Spotlight will help you measure the connection between tutoring, attendance, and better test scores; identify effective practices for tutoring; learn how to simultaneously…