Understanding students' readiness for precalculus and calculus at the community college level is critical not only because of the key role community colleges play in higher education but also because calculus remains a gateway course for students in advancing to higher level mathematics. The Algebra and Precalculus Concept Readiness Assessment for…

We investigated the psychometric properties of six latent factors in a new survey instrument measuring factors related to transfer in STEM from 2-year to 4-year institutions: initial attitudes toward math, initial attitudes toward science, self-efficacy in math, self-efficacy in science, active learning, and transfer-oriented interaction. We…

This report is the fourth in a series considering career-readiness factors within existing high school assessments. The primary goal of this study was to provide a preliminary validation of the career-readiness features identified in prior reports by exploring how different participant groups with different levels of experience in the…

This paper focuses on the psychometric analysis of lecturers' beliefs on teaching function (LBTF) survey using Rasch Model analysis. The sample comprised 34 Community Colleges' lecturers. The Rasch Model is applied to produce specific measurements on the lecturers' beliefs on teaching function in order to generalize results and inferential…

Online mathematics courses at Somerset Community College (SCC) have traditionally had a lower retention rate than their in-person counterparts. This study looked at online and in-person students at SCC in the courses "Intermediate Algebra" and "College Algebra." Beginning of semester student demographics were considered to…

Increased demands for colleges and universities to engage in outcomes assessment for accountability purposes have accelerated the need to bridge the gap between higher education practice and the fields of measurement, assessment, and evaluation. The "Handbook on Measurement, Assessment, and Evaluation in Higher Education" provides higher…

The randomized response technique ensures that individual item responses, denoted as true item responses, are randomized before observing them and so-called randomized item responses are observed. A relationship is specified between randomized item response data and true item response data. True item response data are modeled with a (non)linear…

Differential Item Functioning (DIF) occurs when there is a greater probability of solving an item based on group membership after controlling for ability. Following administration of a 50-item scientific and quantitative reasoning exam to 286 two-year and 1174 four-year students, items were evaluated for DIF. Two-year students performed…