| Unit name | Statistics in Education |
|---|---|
| Unit code | EDUCM5504 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Academic Year (weeks 1 - 52) |
| Unit director | Dr. Tim Jay |
| Open unit status | Not open |
| Pre-requisites |
None |
| Co-requisites |
None |
| School/department | School of Education |
| Faculty | Faculty of Social Sciences and Law |
This unit introduces the most commonly used statistical procedures used in Educational Research. Students are supported to select appropriate techniques, carry out these statistical procedures and to appropriately report and interpret results from statistical procedures. The unit focuses on descriptive techniques and commonly used procedures such as t-test, Mann Whitney, Pearson Correlation and Chi Square. This unit is a pre-requisite for Multivariate Statistical Methods in Education which concerns inferential statistics.
Aims:
To select appropriate statistical procedures for the types of numbers and questions asked
To be able to correctly carry out statistical calculations using SPSS (and/or by hand) and be able to appropriately report and interpret statistical results.
Class sessions are a mix of lecture format interspersed with hands-on SPSS work in groups. Worksheets and all course materials are on Blackboard and students are encouraged to
The needs of a wide range of students, including those with disabilities, international students and those from ethnic minority backgrounds have been considered. It is not anticipated that the teaching and assessment methods used will cause disadvantage to any person taking the unit. The Graduate School of Education is happy to address individual support requests as necessary.
Assessment only required for BPS accreditation and for MPhil students planning to take Multivariate Statistical Methods in Education. Formative assessment occurs through a series of worksheets where students select, carry out and report on statistical procedures. Summative assessment is through a similar paper of questions which require the appropriate selection, justification, computation, reporting results and interpreting the results in relation to the original questions set.
Field, A. (2005) Discovering statistics using SPSS for Windows, 2nd edition. London: Sage Press
Garson, G. David (2002) PA765 Statnotes: An Online textbook. North Carolina State University. http://www2.chass.ncsu.edu/garson/pa765/statnote.htm .
Pallant, J. (2005) (2nd Ed) SPSS Survival manual: A Step by step guide to data analysis for Windows (version 12). Buckingham, England: Open University Press.
Salkind, N.J. (2004) (2nd Ed) Statistics for people who (think they) hate statistics. London: Sage.
Trochim, William M. (2000) Research methods knowledge base. Atomic Dog Publishing. http://trochim.human.cornell.edu/kb/
Wright, D.B. (1997) Understanding Statistics: An Introduction for the Social Sciences. London: Sage.
