Available online
Description
This programme is introduced by Dr John Bynner, Lecturer in the Faculty of Educational Studies of tne Open University. The programme aims to help students who may not be familiar with the interpret...ation of results of statistical analysis to understand what is meant by the concept of correlation and significance, and to be able to use these concepts in the interpretation of data. The programme looks at the concepts using examples from the world at large, educational situations and their numerical expression. Extensive use is made of graphic presentation to clarify the concepts.
This programme is introduced by Dr John Bynner, Lecturer in the Faculty of Educational Studies of tne Open University. The programme aims to help students who may not be familiar with the interpret...ation of results of statistical analysis to understand what is meant by the concept of correlation and significance, and to be able to use these concepts in the interpretation of data. The programme looks at the concepts using examples from the world at large, educational situations and their numerical expression. Extensive use is made of graphic presentation to clarify the concepts.
| Module code and title: | E281, Personality growth and learning |
|---|---|
| Item code: | E281; 04; 1973 |
| First transmission date: | 05-05-1973 |
| Published: | 1973 |
| Rights Statement: | |
| Restrictions on use: | |
| Duration: | 00:24:25 |
| + Show more... | |
| Producer: | David Seligman |
| Contributor: | John Bynner |
| Publisher: | BBC Open University |
| Keyword(s): | Correlation; Graphic representations; Interpretation of results; Significance; Statistical analysis |
| Footage description: | John Bytnner introduces the programme, which is intended to assist students with no statistical knowledge in interpreting the concepts of correlation and significance. He explains that the relationship between two events is not always one of cause and effect, and that the strength of the correlation between can be calculated as a coefficient of correlation. Film clips to indicate cause and effect, including: car crash; ice hockey; ski jumper falling; breaking glass; slow motion shot of droplet falling into liquid; traffic jam with cyclist moving through it; class of 11 year olds showing that wide differences in height; two children, apparently of same height, but one standing on a chair. Bynner uses diagrams, some animated, to illustrate the range of possible correlations between perfect positive and perfect negative, and asks the viewer to identify the meaning of a coefficient of -0.4. He continues to use question and answer techniques, combined with animated diagrams, to reinforce understanding of possible types of correlation. He moves on to the concept of statistical significance. A film sequence shows a boat race, roulette wheel gaming table, bookmakers and horse racing, leading to an animated diagram illustrating betting odds. Bynner explains how odds can be expressed as probabilities. He moves on to explain how to determine whether particular correlation coefficient is statisically significant, using graphs superimposed on shots of eleven year old schoolchildren. He introduces the idea of sample size as a factor determining statistical significance. Finally he sums up bringing all the points together with the use of animated diagrams. He explains the use of tetrachoric correlation coefficients in relation to TMA 02 (Omitted in 1974). |
| Production number: | 00525_6036 |
| Videofinder number: | 3452 |
| Available to public: | no |
