This study highlighted how particular intersections of personal characteristics were related to Motivation to Learn (MtL) among adults. MtL is a prerequisite for adult education and training participation. However, little is known about MtL across subpopulations due to several methodological limitations. This study developed a national profile of…

Assessment of Motivation to learn (MtL) is challenging in the diverse populations. Commonly used method (i.e., exact invariance test) may not be suitable for companions of many subgroups. This study employed an alignment optimization method (a.k.a., approximate invariance test) and data of the working age (25-65 years old) U.S. adults (n = 5,509)…

In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…

Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…

This study examined how literacy skills and nativity status (foreign-born vs. U.S. born) are associated with motivation to learn (MtL). Nationally representative data (N = 8,670) of adults between the ages of 18 years old and older years were obtained from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Structural…