External links in Statistics for Social Sciences
Resources linked from this page are copyright: all rights reserved except where stated.
General statistical literacy
Gallery of Data Visualization: The Best and Worst of Statistical Graphics including "the most misleading graph ever published"
by Michael Friendly, York University (Toronto, Canada), 2007
Statistical zombies ("the top ten mistakes that infest day-to-day reporting of numerical and statistical information")
Kevin Drum, Mother Jones magazine, November 2010
Ten Common Statistical Mistakes by Stuart McErlain-Naylor, 2021, summarising an eLife paper by Makin and Orban de Xivry.
Quantitative Research in Political Science and Public Policy
MIT OpenCourseWare from 2004, lecture notes, exams and solutions. Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0) Licence
wiki bringing together links University level resources produced by University of Maryland GVPT
GOV 1000/2000/2000e Quantitative Methods for Political Science I
by Professor Adam Glynn, Harvard University - syllabus / course outline
Can humour make students love statistics?
Andy Field on how he makes use of eels, quails and lap dancers in his teaching. Psychological study of how humour can be used to help teach statistics to sociologists.
UK Data Service: Teaching Datasets
Geospatial Analysis - a comprehensive guide
A complete 200-page book online, by Michael de Smith and Paul Longley, University College London, and Mike Goodchild, UC Santa Barbara
See the Economics Network's links to statistical resources for economics
Descriptive statistics for interval and ratio scale data A series of audio-narrated slide shows with a self-test quiz, released 2005
David Justham, Heather Wharrad, University of Nottingham
Statistics for Social Sciences (YouTube playlist)
Created by Jessica Bishop-Royse while at Florida State University, these videos cover eight half-hour lectures, in a slides+audio format. The course was delivered in 2014.
Resources linked from this page are copyright: all rights reserved except where stated.Back to top
- 8634 views
Except where stated, DeSTRESS resources are available under a Creative Commons Attribution-Noncommerical-ShareAlike licence which guarantees your right to remix and reuse.
Logos remain the property of their respective institutions and organisations, all rights reserved. Takedown policy
DeSTRESS was funded by the Higher Education Academy/ JISC Open Educational Resource programme.