Accurately predicting which students are best suited for graduate programs is beneficial to both students and colleges. In this paper, we propose a quantitative machine learning approach to predict an applicant's potential performance in the graduate program. Our work is based on a real world dataset consisting of MS in CS [Master of Science in…

Purpose: Agricultural extension services in poor countries often identify opinion leaders based on criteria such as wealth and social status. We explore the effectiveness of this top-down approach by analysing the role of so-called model and nodal farmers in the diffusion of malt barley in a highland community in Ethiopia. Research approach: We…

The desire to support student learning and professional development, in combination with accreditation requirements, necessitates the need to evaluate the learning environment of educational programs. The Health Education Learning Environment Survey (HELES) is a recently-developed global measure of the learning environment for health professions…

Purpose: The purpose of the paper is to discuss the "Q-Step in the Community" programme, part of the Q-Step Centre based in the Sociology Department at Manchester Metropolitan University, designed to help address the skills gap in quantitative methods (QM) that is evident across parts of the UK higher-education sector. "Q-Step in…

We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of change. Intervention studies using longitudinal data often include multiple observations on individuals, some of which may be more likely to manifest a treatment effect…

To address the gap in locally driven mental health capacity strengthening initiatives in the occupied Palestinian territory (oPt), researchers from Birzeit University (BZU) and King's College London (KCL) developed a unique short course focusing on the intersection between methods, mental health, and conflict. The course was delivered in the West…

Null hypothesis significance testing (NHST) provides an important statistical toolbox, but there are a number of ways in which it is often abused and misinterpreted, with bad consequences for the reliability and progress of science. Parts of contemporary NHST debate, especially in the psychological sciences, is reviewed, and a suggestion is made…

This paper investigated the performance of a propensity score analysis by a simulation study that involved using 12 covariates consisting of 3 different variable types. The three types of covariates included covariates related only to the outcome measure, covariates related only to assignment of treatment, and covariates related to both outcome…

Objective: After the discontinuation of School Health Policies and Practices Study (SHPPS) in 2016, the US Centers for Disease Control and Prevention (CDC) began exploring innovative ways to gather school health information using existing surveillance systems. School Health Profiles (Profiles) is a school-based system of surveys that monitors…

Research has shown that intrapersonal, interpersonal, and stress factors are associated with development in marital satisfaction. However, the unique contributions of early predictors and changes in these factors to the development of marital satisfaction have been overlooked. Based on data from 268 Chinese newlywed couples (M[subscript age] =…

Objective: Health is an important factor in college student success yet is not as well understood in two-year colleges as it is in traditional, four-year institutions. This systematic literature review aimed to determine the health topics that have been studied in community colleges and what data sources have been used. Additionally, this paper…

This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…

Analysts of discrete data often face the challenge of managing the tendency of inflation on certain values. When treated improperly, such phenomenon may lead to biased estimates and incorrect inferences. This study extends the existing literature on single-value inflated models and develops a general framework to handle variables with more than…

In organizations that are seeking a high degree of maturity, it is necessary to achieve a statistical control of software processes and to know their behavior and operational performance. The approach adopted for the research involves reading articles and experience performance reports, practical cases, discussion, the use of games and simulators,…

This article describes a faculty-led project to assess and revise institutional student learning outcomes at a small urban community college. The revision process involved four stages: (1) exploring stakeholders' explicit and implicit understandings through an experimental assessment; (2) using statistical tools to identify redundancies and…