Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…

Embodied cognition--the idea that mental states and processes should be understood in relation to one's bodily constitution and interactions with the world--remains a controversial topic within cognitive science. Recently, however, increasing interest in predictive processing theories among proponents and critics of embodiment alike has raised…

In 2018 the UK government launched a £50 million scheme to fund the expansion of existing grammar schools provided that they increase efforts to attract more pupils from socioeconomically disadvantaged backgrounds. This initiative assumed that grammar school attendance boosts the educational attainment and the higher education progression rates of…

Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…

This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…

The dialogue on what constitutes quality teacher preparation and how it should be assessed and evaluated is muddled. It begins neatly with a universal agreement and aspiration for quality teaching and enhanced PK-12 student achievement, then quickly scatters when there are attempts to define and weigh key components of academic excellence.…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

With the adjustment of industrial structure of China in recent years, the market urgently needs different levels of professionals. Specialty education is an important part of higher education in China, has its unique advantages. Through the analysis of the history data of specialty education in our country, the result shows that the specialty…

In 2014 the National Association of System Heads (NASH) launched the landmark initiative "NASH TS[superscript 3]: Taking Student Success to Scale." Collectively, TS[superscript 3] is made up of 23 systems and over 300 institutions that span 18 states. (NASH: Taking Student Success to Scale 2016) These systems have a combined…

The United Kingdom's Department for Education has recently changed the nature of the AS-level examinations normally taken by students aspiring to enter higher education degree courses one year into their post-compulsory education. In the face of protests from universities and other institutions that this would both harm students' progression…

This publication presents some structural indicators on graduate employability in 40 European education and training systems. It examines whether countries use regular labour market forecasting to improve the employability of graduates; moreover, other indicators include the involvement of employers in external quality assurance procedures,…

This Center for American Progress report examines whether states' adoption of standards-based policies predicts low-income students' NAEP achievement trends in fourth and eighth grade math and reading throughout the 2003-2013 decade. The report claims to analyze changes across five separate two-year intervals, but it only reports findings for…

There are many situations where random assignment of participants to treatment and comparison conditions may be unethical or impractical. This article provides an overview of propensity score techniques that can be used for estimating treatment effects in nonrandomized quasi-experimental studies. After reviewing the logic of propensity score…

The goal of the current study was to introduce a new stopping rule for computerized adaptive testing (CAT). The predicted standard error reduction (PSER) stopping rule uses the predictive posterior variance to determine the reduction in standard error that would result from the administration of additional items. The performance of the PSER was…

Recently, Northwest Evaluation Association (NWEA) completed a study to connect the scale of the Minnesota Comprehensive Assessments (MCA) Testing Program used for Minnesota's mathematics and reading assessments with NWEA's RIT (Rasch Unit) scale. Information from the state assessments was used in a study to establish performance-level scores on…