This department's YouTube channel has around a hundred videos, organised into playlists about international economics, macro principles, intermediate macro, and statistics for social and behavioural sciences.
Videos in Statistics for Social Sciences
The following high-quality videos are presented by Ken Heather of the University of Portsmouth and produced by StreamLearn LLC.
- Interpreting and Using Data (19'02")
- Understanding Formulae: The Middleman (15'16")
- Understanding Formulae: Part Two (13'41")
- Percentages: Books, Wastewater, Chickens and Elections (14'37")
- Variance and Standard Deviation: Investing Your Savings (19'43")
- Introducing averages: the Distribution of Wealth (15'55")
- Index Numbers (21'04")
- Developing Index Numbers: The Human Development Index (19'39")
- Decision Analysis: Uncertainty and Climate Change (25'36")
- The Chebyshev Theorem: Fish 'n' Chips (11'48")
- The Normal Distribution, Part One: Aircraft and Body Mass Index (19'12")
- The Normal Distribution, Part Two: Shoplifting (10'31")
- Sampling and Wastewater (12'13")
- Voting and Sampling (14'23")
- Lorenz Curves: Analysing the Distribution of Income (15'19")
- Rank Correlation: Analysing Voter Concerns (13'37")
- Turnover and Correlation (10'28")
- Regression Analysis: Corruption and Investment (17'21")
- Hypothesis Testing (17'43")
- Income Distribution revisited (17'00")
See the METAL Project for related videos in Maths.
This site, hosted by the UK-based academic Chris Longmore, comprises a series of 'screencasts' (live captures of a computer screen). Each screencast demonstrates software that will be useful to students and teachers. For example, Longmore shows how to create tables and perform statistical operations using the analysis software SPSS. His datasets are available for download. Other software includes E-Prime, SuperLab, and Blackboard. The videos vary in resolution and length. They require Apple Quicktime version 7. Although designed for first year Psychology students the videos should be useful for teachers, students and researchers of Economics as well.
Free site combining short video tutorials and online self-test quizzes. The videos can also be viewed in YouTube. The top-level topics are Independent and dependent events; Probability and combinatorics; Descriptive statistics; Random variables and probability distributions; Regression; and Inferential statistics. Each of these is broken down into dozens of points. There are also forums for asking questions related to the material.
This is a 21'24" talk about statistical fallacies, recorded in July 2005. It can be watched online or downloaded in a variety of formats.
These free course materials require a login, either via Google, Facebook or a Udacity account. They cover "Visualizing relationships in data", "Probability", "Estimation", "Outliers and Normal Distribution", "Inference", and "Regression". The "classroom" link takes you to a large number of short YouTube videos each explaining a different step. The "Materials" link takes you to detailed, line by line transcripts which can be downloaded as PDFs. These include some formative questions. As with other MOOCs, there is a forum for learners to discuss questions arising from the material.
These free course materials require a login, either via Google, Facebook or a Udacity account. The course is organised in six modules and aims to cover the basics of statistical research using everyday examples. The "Materials" button links to downloadable videos, an index of concepts and a booklet of notes. "Classroom" leads to a series of short videos with interactive features. As with other MOOCs, there is a forum where learners can discuss questions.
Video lectures of various lengths, including a series of TED talks, showing how statistical data illuminate the development and welfare of countries.
Nearly sixty videos of varying lengths, in a narrated-slideshow format, with detailed tables of contents.
Webcasts of 28 lectures from a course given in 2009, available freely through iTunes.