Empirical analysis of variation in demographic events within the population is facilitated by using longitudinal survey data because of the richness of covariate measures in such data, but there is wave-on-wave dropout. When attrition is related to the event, it precludes consistent estimation of the impacts of covariates on the event and on event…

Background: One of the most vexing threats to education field trials is attrition--when some subjects drop out before it is complete. Since outcomes are not available for subjects who attrit, they are typically dropped from any analysis estimating average effects on the outcome. However, since attrition may itself have been affected by treatment…

We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…

We examine recommendations for three key features of latent growth curve models in the structural equation modeling framework. As a basis for the discussion, we review current practice in the social and behavioral sciences literature as found in 441 reports published in the 19 months beginning in January 2019 and compare our findings to extant…

This study proposed a three-stage measurement model utilizing the Latent Growth Curve Modeling and Latent Class Growth Analysis. The measurement model was illustrated using repeated data collected through a four-week prospective study tracking the subjective well-being of volunteer college students (n=154). Firstly, several unconditional growth…

There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…

The research presented in this Case Study examines adjunct faculty satisfaction at an online public institution of higher education. Specifically, I analyzed student-, individual-, and institution-related factors of faculty satisfaction based on a previously constructed survey instrument found in the literature. While carrying out the research,…

Objective: The current math course-taking plan for U.S. high school students is not optimized for all, with advanced math course participation skewed toward White and Asian students and varying across schools due to resources and policies (Dalton et al., 2007; Byun et al., 2015). These disparities widen achievement gaps and reduce STEM diversity.…

Planning longitudinal studies can be challenging as various design decisions need to be made. Often, researchers are in search for the optimal design that maximizes statistical power to test certain parameters of the employed model. We provide a user-friendly Shiny app OptDynMo available at https://shiny.psychologie.hu-berlin.de/optdynmo that…

Processes that unfold over individuals' life courses are often associated with inequalities later in life. The literature lacks methodological approaches to analyze inequalities in outcomes between groups, for example, between women and men, in a life-course-sensitive manner. We propose a combination of methods--of sequence analysis, which enables…

Imputation or likelihood-based approaches to handle missing data assume the data are missing completely at random (MCAR) or missing at random (MAR). However, little research has examined the missingness pattern before using these imputation/likelihood methods. Three missingness mechanisms -- MCAR, MAR, and not missing at random (NMAR) -- can be…

Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement…

Moderated multiple regression (MMR) has become a fundamental tool for applied researchers, since many effects are expected to vary based on other variables. However, the inherent complexity of MMR creates formidable challenges for adequately performing power analysis on interaction effects to ensure reliable and replicable research results. Prior…

Over the past 15 years, qualitative case study research has become more prominent in agricultural education. The first case study research appeared in the Journal of Agricultural Education (JAE) in 1997. To date, 33 qualitative case study research articles have been published in JAE. Additionally, case study research has become highly visible at…

Using national data from the US Department of Education, Integrated Postsecondary Education Data System (IPEDS) and the US Census Bureau, trends in graduate school enrollment percentages for Hispanic and White students from 2002 to 2018 were analyzed and compared. Major findings from three regression analyses included: (1) a strong, statistically…