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:…

This article draws on the articulation of a value for reflexivity that has accumulated within qualitative methods debates in the past decade. It demonstrates how reflexivity is interwoven with the concept of ethical mindfulness. The argument has developed from a consideration of the ethical dilemmas that were a salient aspect of an ongoing…

The sophisticated analytical techniques available to institutional researchers give them an array of procedures to estimate a causal effect using observational data. But as many quantitative researchers have discovered, access to a wider selection of statistical tools does not necessarily ensure construction of a better analytical model. Moreover,…

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…

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…

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)

Discusses problems in carrying out time-series research in organizational settings that include issues of site selection; choices about data collection and degrees of involvement; the importance of clarifying research outputs, audience, and presentation; handling problems of complexity and simplicity; ethical issues; and managing a community or…

In longitudinal studies, the same variables must be measured, in the same way, on at least two occasions. Research personnel are very important in keeping the necessary continuity of the procedures and the comparability of the measurements over time. As staff turnover can create serious problems, this paper suggests several strategies for reducing…

Education researchers and policymakers agree that teachers differ in terms of quality and that quality matters for student achievement. Despite prodigious amounts of research, however, debate still persists about the causal relationship between specific teacher credentials and student achievement. In this paper, we use a rich administrative data…

The volume and scope of research into adult and community education (ACE) in Australia have increased significantly over the past decade. Studies designed to map, reevaluate, showcase, and promote ACE have been funded by Australia's federal and state governments and by bodies such as Adult Learning Australia. Practitioner-generated research has…