Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…

Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…

Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…

Textbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection. It is also important to use contemporary data for teaching, to imbue the sense…

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…

Synthesizing results from multiple studies is a daunting task during which researchers must tackle a variety of challenges. The task is even more demanding when studying developmental processes longitudinally and when different instruments are used to measure constructs. Data integration methodology is an emerging field that enables researchers to…

The 2012/17 Beginning Postsecondary Students Longitudinal Study (BPS:12/17), conducted by the National Center for Education Statistics (NCES) at the U.S. Department of Education, is the second follow-up of students who began postsecondary education in the 2011-12 academic year. BPS:12/17 draws from the 2011-12 National Postsecondary Student Aid…

The purpose of this article is to inform researchers about and encourage the use of longitudinal designs to further understanding of human resource development and organizational theory. This article presents information about a variety of longitudinal research designs, related statistical procedures, and an overview of general data collecting…

Romantic relationship quality in adolescence and early adulthood has often been linked to earlier parent-child relationship quality but it is possible that these links are nonlinear. Moreover, the role of social skills as mediator of associations between parent-child and romantic relations has been discussed but not rigorously tested. Using data…

This article examined transition rates of young children (n = 102) from an early intervention program at the Linda Ray Intervention Program (LRIP) who had documented developmental delays and co-occurring prenatal drug exposure often coupled with verified child maltreatment. Findings indicated that there was significant group improvement from…

This article investigates the utility and availability of college data to evaluate the impact of high school interventions. It reports results of a pilot study that collected information about the college experiences of graduates from four high schools in the northeast United States. Using these results as a lens, the article examines what…

People do better when more is expected of them. In education circles, this is called the Pygmalion Effect. It has been demonstrated in study after study, and the results can sometimes be quite significant. In one research project, for instance, teacher expectations of a pre-schooler's ability was a robust predictor of the child's high school GPA.…

This paper argues for a renewed focus on statistical reasoning in the beginning school years, with opportunities for children to engage in data modelling. Results are reported from the first year of a 3-year longitudinal study in which three classes of first-grade children (6-year-olds) and their teachers engaged in data modelling activities. The…

The National Center of Education Statistics' Early Childhood Longitudinal Study, Kindergarten Class of 1998-1999 (ECLS-K) data were used to explore the curricular emphasis in schools of varying socioeconomic status in both public and private schools. Data collected between 1998 and 2003 were used in the secondary analyses of curricular emphasis in…

The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…