Sometimes a treatment, such as receiving a high school diploma, is assigned to students if their scores on two inputs (e.g., math and English test scores) are above established cutoffs. This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables…

Statement of Purpose and Method of Study: Historically, Mississippi has lagged behind the rest of the nation in student achievement and funding for education. This comparative quantitative study investigated whether significant differences in student achievement as measured by mean composite ACT scores of high school juniors in Mississippi public…

The Every Student Succeeds Act requires that English Learners (ELs) are included in annual state testing (grades 3-8 and once in high school) and included in each state's accountability system disaggregated by subgroup to ensure that they receive the support they need to learn English, participate fully in their education experience, and graduate…

Descriptive evidence shows that English learners (ELs) have lower high school graduation and 4-year-college attendance rates than monolingual and fluent English users. Applying the regression discontinuity design to rich administrative data from a large district in California, this study identifies the first causal effects of initial EL…

In 2014, ACT developed a method to identify high school students who had an interest in Science, Technology, Engineering, and Mathematics (STEM)-related fields. By using ACT data elements, this method provided two different types of STEM interest: Expressed and measured. Based on these STEM interest types, students can be assigned to one of four…

As part of ACT's Holistic Framework, ACT researchers developed a Behavioral Skills Framework that can be used to assess behavior in education and work settings. By utilizing specific statements of effective behaviors, known as performance level descriptors (PLDs) (e.g., communicating well in group tasks), the Behavioral Skills Framework is…

Objectives: This study examines the effectiveness of interventions in first-year math courses in higher education. Our goal is to investigate the efficacy of a supplemental support requirement on the passing rates of students in their first-year math courses. Method: We gathered and analyzed data on 3,249 students using descriptive statistics and…

Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…

This study compares two methods of defining groups for the detection of differential item functioning (DIF): (a) pairwise comparisons and (b) composite group comparisons. We aim to emphasize and empirically support the notion that the choice of pairwise versus composite group definitions in DIF is a reflection of how one defines fairness in DIF…

The recent increase in the number of students classified as English language learners (ELLs) has focused significant attention on reclassification policy, which governs the process by which ELLs move toward, and are deemed to reach, full English proficiency. In this paper, we draw on a data set containing annual individual-level records for every…

Building upon the research findings in an earlier ACT Research Report (Westrick, 2016), this study used data from 119,131 students at 26 four-year institutions to make comparisons between STEM majors earning semester GPAs of 3.0 or higher and their STEM peers earning semester GPAs less than 3.0. The results indicate that the higher-performing…

Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…

ACT reporting categories and ACT Readiness Ranges are new features added to the ACT score reports starting in fall 2016. For each reporting category, the number correct score, the maximum points possible, the percent correct, and the ACT Readiness Range, along with an indicator of whether the reporting category score falls within the Readiness…

Using date from 120,612 students at 26 four-year institutions, this report provides a description of STEM majors entering four-year postsecondary institutions and those who persist through four years of study. The results indicate that persisting STEM majors enter college with very high levels of pre-college academic achievement as measured by the…

The use of categorical dependent variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, educational attainment) are…