Social practice theory addresses both theoretical and method/ological agendas. To date priority has been given to the former, with writing on the latter tending often to be an afterthought to theoretical expositions or fieldwork accounts. This article gives sustained attention to the method/ological corollaries of a social practice perspective. It…

This chapter discusses issues and challenges encountered in using large-scale data sets to study educational experiences and subsequent outcomes for American Indian and Alaska Native (AI/AN) students. In this chapter, we argue that the linguistic and cultural diversity of Native peoples, coupled with the legal and political ways in which education…

How can attention to kinship enhance the qualitative study of public services, such as schooling and health promotion? This question underscores several qualitative studies in which the authors have been involved, each engaging what we call the 'family sample' method summarized here. Involving research in Europe, Africa, North and South Americas,…

Purpose: The purpose of this paper is to use an extreme case to identify and describe the nature of routines that might support processes and outcomes of data use, drawing from a framework developed by Coburn and Turner (2012a). Design/methodology/approach: The author conducted a four-month case study (Stake, 1995) of an elementary school in a…

Purpose: This policy brief, the third in the AERI-NEPC eBrief series "Understanding validity issues around the world", discusses validity issues surrounding International Large Scale Assessment (ILSA) programs. ILSA programs, such as the well-known Programme of International Student Assessment (PISA) and the Trends in International…

We discuss a recent development in the set theoretic analysis of data sets characterized by limited diversity. Ragin, in developing his Qualitative Comparative Analysis (QCA), developed a standard analysis that produces parsimonious, intermediate, and complex Boolean solutions of truth tables. Schneider and Wagemann argue this standard analysis…

Data collection can be a frustrating experience for student researchers due to difficulty in scheduling appointments with participants. To increase the efficiency of research project data collection, we organized a Research Participation Night in which volunteers were incentivized to participate in as many experiments as time allowed. By offering…

China has made great improvement on subsidizing poverty-stricken students, but the current approaches of granting subsidies is not scientific or humane. Poverty-stricken students who couldn't get sufficient subsidies in suitable ways need some new and more scientific granting approaches, which inspires me to go about this study. The approach, we…

Mokken scale analysis is a probabilistic nonparametric approach that offers statistical and graphical tools for evaluating the quality of social science measurement without placing potentially inappropriate restrictions on the structure of a data set. In particular, Mokken scaling provides a useful method for evaluating important measurement…

Data mining methods for classification and regression are becoming increasingly popular in various scientific fields. However, these methods have not been explored much in educational measurement. This module first provides a review, which should be accessible to a wide audience in education measurement, of some of these methods. The module then…

Influenced by the practices of social scientists, data journalists seek to create stories that frame social reality through quantitative data analysis. While the use of statistics by journalists is not new, exponential growth in available data and a desire for source material unmediated by political and public-relations framings have seen data…

Studies have shown that issues of privacy, control of data, and trust are essential to implementation of learning analytics systems. If these issues are not addressed appropriately, systems will tend to collapse due to a legitimacy crisis, or they will not be implemented in the first place due to resistance from learners, their parents, or their…

In working with individuals with intellectual and developmental disabilities (IDDs), it is direct care staff who are often required to collect data on individuals' behavior which is used as the basis for implementation of empirically based approaches for intervention and treatment. Due to limited resources, indirect and descriptive measures of…

The purpose of this perspective on practice is to share my experience conducting an organizational change evaluation using qualitative methodology at a multinational transportation company Global Logistics. I provide a detailed description of the three phase approach to data analysis and my reflections on the process.

Students of physical chemistry in biochemical disciplines need biochemical examples to capture the need, not always understood, of a difficult area in their studies. The use of thermodynamic data in the chemical reference state may lead to incorrect interpretations in the analysis of biochemical examples when the analysis does not include relevant…