Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…

Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…

The purpose of the current work is to present a case for the need to train all graduate students in the field of education in quantitative methodology. The premise for this position is that practitioners like researchers benefit from such training. Through an understanding of research design and statistics, teachers, school leaders, counselors,…

Given the importance of statistical power analysis in quantitative research and the repeated emphasis on it by American Educational Research Association/American Psychological Association journals, the authors examined the reporting practice of power analysis by the quantitative studies published in 12 education/psychology journals between 2005…

This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…

As lines between research paradigms continue to blur with the ever-increasing popularity of mixed methods research, there are useful, and occasionally oxymoronic, opportunities for educational researchers to juxtapose tools from opposing methods. The gold standard is just not possible in so much of what we do with small-scale research, nor is it…

In this commentary I briefly describe the articles, suggest three themes that unite the works and two questions raised by them, and then elaborate some challenges that these studies pose for researchers and practitioners. The themes include situating these articles in the history of the study of teaching and exploring both the complexity of…

Since the passage of the No Child Left Behind Act of 2001 (2002), there has been increased interest in using student achievement data (through standardized tests) to evaluate teacher effectiveness. Two U.S. Department of Education secretaries, Secretary Spellings and Secretary Duncan, have expressed interest in growth models and the need to…

Illustrates the basic concepts of the loglinear approach to research analysis. Explains what type of research questions are answerable and what type of data will lend itself to a loglinear analysis approach. Three educational research examples illustrate this concept. (TLJ)

It is argued that the debate between qualitative and quantitative research for educational researchers is actually an argument between constructivism and positivism. Positivism has been the basis for most quantitative research in education. Two different things are actually meant when constructivism is discussed (constructivism and…

In order to make policy decisions, educators must evaluate educational research proposals and projects. Findings immediately related to practice are often inadequate, omitting the theoretical establishment of principles by which we can explain and predict the phenomena of our world. These theoretical linkages to the practical world of…