Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…

Background: Britain is rich in longitudinal population cohort studies that posit valuable data resources for social science. However, education researchers currently underutilize these resources. Aims: The current paper (1) outlines the power and benefits of secondary data analyses for educational science and (2) provides a practical guide for…

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…

This report presents initial findings about the employment outcomes of bachelor's degree recipients approximately 4 years after they completed their 2007-08 degrees. These findings are based on data from the second follow-up of the Baccalaureate and Beyond Longitudinal Study (B&B:08/12), a nationally representative longitudinal sample survey…

A great deal of recent methodological research has focused on two modern missing data analysis methods: maximum likelihood and multiple imputation. These approaches are advantageous to traditional techniques (e.g. deletion and mean imputation techniques) because they require less stringent assumptions and mitigate the pitfalls of traditional…

National longitudinal databases hold much promise for school counseling researchers. Several of the more frequently used data sets, possible professional implications, and strategies for acquiring training in the use of large-scale national data sets are described. A 6-step process for conducting research with the data sets is explicated:…

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 educational research that often require multilevel modeling (MLM) data analysis techniques to avoid Type-1 errors. The purpose of this article is to clarify the seven major steps…

The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…

Background/Context: Many children of immigrants are not enrolled in high schools that sufficiently meet their needs, and subsequently, many are not making a successful transition to, and/or successfully completing, higher education. As immigration grows in the United States, educators and policy makers must understand how the educational processes…

There are a number of significant challenges researchers encounter when studying development over an extended period of time, including subject attrition, the changing of measurement structures across groups and developmental periods, and the need to invest substantial time and money. Integrative data analysis is an emerging set of methodologies…

The Center for the Advancement of Engineering Education (CAEE) began in January 2003 with a grant from the National Science Foundation (ESI-0227558). Two NSF Directorates, Engineering and Education and Human Resources, oversee the Center's work. The Academic Pathways Study (APS) is part of the Scholarship on Learning Engineering element of the…

Focuses on the methods being used to examine processes of innovation development that pertain to the selection of cases and concepts, observing change, coding and analyzing event data to identify process patterns, and developing theories to explain observed innovation processes. (42 references) (MLF)

Explains the statistical technique of survival analysis which is suggested as appropriate for evaluation of longitudinal speech and language data. In survival analysis, probabilities are calculated not just for groups but also for individuals in a group, a major advantage for clinical studies. Both nonparametric and semiparametric survival…

Because health behavior is often concerned with dynamic constructs, a longitudinal approach to measurement is needed. The Longitudinal Guttman Simplex (LGS) is a measurement model developed especially for dynamic constructs exhibiting cumulative, unitary development measured longitudinally. Data from the Television Smoking Prevention Project, a…

The validity of a comparison of mean test scores for two groups and of a longitudinal comparison of means within each group is assessed. Using LISREL, factor analyses are used to test the hypotheses of similar factor patterns, equal units of measurement, and equal measurement accuracy between groups and across time. (Author/DWH)