R (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popularity due to its costs (its free) and flexibility (its open-source). This article gives a general introduction to using R (i.e., loading the program, using functions, importing data). Then, using data from Canivez, Konold, Collins, and Wilson (2009), this article walks the user through how to use the program to conduct factor analysis, from both an exploratory and confirmatory approach
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
Everyone is a data analyst. The purpose of this book is to inspire and enable anyone who reads it to...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
R (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popula...
Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has bee...
Exploratory factor analysis is a widely used statistical technique in the social sciences. It attemp...
As more and more historical records are digitized, having a way to quickly analyze large volumes of ...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which...
The computer program system R provides efficient analysis methods for almost any kind of applied pr...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
This tutorial gives you an introduction to the R programming language for statistical analysis and m...
In the social sciences, factor analysis is a widely used tool to identify latent constructs underlyi...
Hands-on guide to the R system for data analysis for scientists, students and practising statisticia...
Hands-on guide to the R system for data analysis for scientists, students and practising statisticia...
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
Everyone is a data analyst. The purpose of this book is to inspire and enable anyone who reads it to...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...
R (R Development Core Team, 2011) is a very powerful tool to analyze data, that is gaining in popula...
Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has bee...
Exploratory factor analysis is a widely used statistical technique in the social sciences. It attemp...
As more and more historical records are digitized, having a way to quickly analyze large volumes of ...
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which...
The computer program system R provides efficient analysis methods for almost any kind of applied pr...
This book is intended as a guide to data analysis with the R system for statisti-cal computing. R is...
This tutorial gives you an introduction to the R programming language for statistical analysis and m...
In the social sciences, factor analysis is a widely used tool to identify latent constructs underlyi...
Hands-on guide to the R system for data analysis for scientists, students and practising statisticia...
Hands-on guide to the R system for data analysis for scientists, students and practising statisticia...
Factor analysis is a statistical technique, the aim of which is to simplify a complex data set by re...
The contents of The R Software are presented so as to be both comprehensive and easy for the reader ...
Everyone is a data analyst. The purpose of this book is to inspire and enable anyone who reads it to...
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programmin...