JEBS provides an outlet for papers that develop original statistical methods useful for the applied statistician working in educational or behavioral research. Typical papers will present new methods ...

Missing data analyses have received considerable recent attention in the methodological literature, and two "modern" methods, multiple imputation and maximum likelihood estimation, are recommended.

Data Labs also explores the limitations of these data and methods and works toward establishing standards for use and analysis. The Data Labs project both produces its own reports and collaborates ...

This certificate is designed to provide students with advanced preparation in data collection and analysis as related to key educational issues nationally and cross-nationally. This certificate is ...

Research Methods, Data Science and Mathematics at LSE Summer School offer you a slew of state-of-the-art courses. From statistics and machine learning to real analysis to qualitative research, our ...

The purpose of the Graduate Certificate in Quantitative Methods is fourfold: (a) to strengthen interdepartmental links and communication among social and human science departments at CU Boulder, both ...

In this post, we discuss three methods to identify and remove specific words and phrases in unstructured text data.

Intelligent systems rely on data collected across diverse sensing modalities (such as time, frequency and 3D space) and organize them in multi-dimensional arrays, also referred to as “tensors.” ...

The trends in educational digitization demonstrate the growing incorporation of technology into teaching and learning methods, with pedagogical strategies tailored to the digital setting and the ...

Qualitative data analysis (QDA) is a cornerstone of research across various fields, from social sciences to marketing. It involves uncovering patterns, themes, and meanings within non-numerical data ...