Collecting data from students within classrooms or schools, and collecting data from
students on multiple occasions over time, are two common sampling methods used in …

We provide reporting guidelines for multilevel factor analysis (MFA) and use these
guidelines to systematically review 72 MFA applications in journals across a range of …

Although different methods are available for the analyses of longitudinal data, analyses
based on generalized linear models (GLM) are criticized as violating the assumption of …

The use of multilevel modeling (MLM) to analyze nested data has grown in popularity over
the years in the study of school psychology. However, with the increase in use, several …

By focusing on underlying themes, this book helps readers better understand the
connections between multivariate methods. For each method the author highlights: the …

Abstract Drawing from the National Center for Early Development and Learning (NCEDL)
Multi-State Study of Prekindergarten and the State-Wide Early Education Programs Study …

Growth mixture model (GMM) is a flexible statistical technique for analyzing longitudinal data
when there are unknown heterogeneous subpopulations with different growth trajectories …

Education researchers often study count variables, such as times a student reached a goal,
discipline referrals, and absences. Most researchers that study these variables use typical …

Musicians are at risk of hearing loss and tinnitus due to regular exposure to high levels of
noise. This level of risk may have been underestimated previously since damage to the …

In longitudinal multilevel studies, especially in educational settings, it is fairly common that
participants change their group memberships over time (eg, students switch to different …