Interview: Jeffrey Long, author of Longitudinal Data Analysis for the Behavioral Sciences Using R

Written By
Web Webster
Web Webster
Apr 3, 2012

[ Thanks to Edwood
Ocasio
for this link. ]

“F4S: Tell us the story behind your book ‘Longitudinal Data
Analysis for the Behavioral Sciences Using R’.

“The book is a culmination of teaching an applied longitudinal
data analysis course for many years. There are relatively few
people who use R in the behavioral sciences and I wanted to
emphasize that it is a good option for researchers and students. R
is free software that offers add-on packages authored by world
leading authorities in longitudinal data analysis and graphing.

“F4S: Who will benefit from reading it?

“The beneficiaries are researchers and students who want a
practical introduction to the analysis of longitudinal behavioral
data. Longitudinal data is defined as repeated measurements taken
on the same subjects over time. Such data is correlated within an
individual and this should be considered in statistical modeling.
The book focuses on the application of linear mixed effects
regression (LMER). The book is specifically written for those who
want a hands-on approach to using R for LMER modeling. The software
and the data sets can be freely downloaded and all the examples can
be reproduced on the reader’s own computer.”


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Web Webster

Web Webster

Web Webster has more than 20 years of writing and editorial experience in the tech sector. He’s written and edited news, demand generation, user-focused, and thought leadership content for business software solutions, consumer tech, and Linux Today, he edits and writes for a portfolio of tech industry news and analysis websites including webopedia.com, and DatabaseJournal.com.

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