Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitative analysis. Here we present a brief introduction to computational techniques for the researcher with interest in analyzing data pertaining to pedagogical study. Sample dataset and fully executable code in the open-source R programming language are provided, along with illustrative vignettes relevant to common forms of inquiry in the educational setting.</p
hese Lecture Notes refer to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
The purpose of this course is to present researchers and scientists with R implementation of Machine...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
The growing popularity of R has presented new challenges for educators as well as for new users. Thi...
Text Analysis with R for Students of Literature is written with students and scholars of literature ...
The objective of this course is to introduce the students to the R language and environment for stat...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
Computational Film Analysis with R is intended to be a first course in the application of computatio...
Although the advantages of R are well-known (free, open source, continually updated by experts), it ...
When carrying out quantitative discipline based educational research projects, researchers have a va...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
hese Lecture Notes refer to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
The purpose of this course is to present researchers and scientists with R implementation of Machine...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
Researchers engaged in the scholarship of teaching and learning seek tools for rigorous, quantitativ...
The growing popularity of R has presented new challenges for educators as well as for new users. Thi...
Text Analysis with R for Students of Literature is written with students and scholars of literature ...
The objective of this course is to introduce the students to the R language and environment for stat...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
Computational Film Analysis with R is intended to be a first course in the application of computatio...
Although the advantages of R are well-known (free, open source, continually updated by experts), it ...
When carrying out quantitative discipline based educational research projects, researchers have a va...
This book is written for statisticians, data analysts, programmers, researchers, teachers, students,...
hese Lecture Notes refer to the examples and illustrations proposed in the book A Guide to Modern Ec...
<p>Introductory Slides from my Short Course on the R Language and Environment for Statistical Comput...
The purpose of this course is to present researchers and scientists with R implementation of Machine...