summaryrefslogtreecommitdiff
path: root/Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex
diff options
context:
space:
mode:
authorKarl Berry <karl@freefriends.org>2020-03-13 21:02:20 +0000
committerKarl Berry <karl@freefriends.org>2020-03-13 21:02:20 +0000
commite4220e44e740fd225af1bab36399e54df7a80ae1 (patch)
tree9d411e40ba9d28e4557a3e1b14140c4421191911 /Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex
parentb14fd3b8e8d6392eecf80e2425f969c4da2ce6a9 (diff)
thesis-gwu (13mar20)
git-svn-id: svn://tug.org/texlive/trunk@54283 c570f23f-e606-0410-a88d-b1316a301751
Diffstat (limited to 'Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex')
-rw-r--r--Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex10
1 files changed, 10 insertions, 0 deletions
diff --git a/Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex b/Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex
new file mode 100644
index 00000000000..a8922b5cafe
--- /dev/null
+++ b/Master/texmf-dist/doc/latex/thesis-gwu/tex/methods.tex
@@ -0,0 +1,10 @@
+\chapter{Methods: injecting construct validity into social media monitoring with a survey}\label{chap:methods}
+
+This study’s contribution achieves all items on the validity checklist on the construct of trust in vaccines. Our method involves three parts. First, we leverage a survey on social media annotation to establish a reliable measure of trust in vaccines of Twitter, that fulfills face, content, predictive, and concurrent validity. Second, we expand this measure to an NLP classifier, achieving predictive and concurrent validity at the scale of big data. Third, we evaluate our classifier using the principles of convergent and discriminant validity.
+
+\section{Survey for attitudes and annotations to establish a measure}
+asdf
+\section{Reliable measure to NLP classifier with concurrent validity}
+asdf
+\section{Convergent and discriminant validation vs. existing standards}
+asdf \ No newline at end of file