ARMQME-Quantitative Methods in Environmental Archaeology

Module Provider: Archaeology
Number of credits: 10 [5 ECTS credits]
Level:7
Terms in which taught: Spring term module
Pre-requisites:
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Module version for: 2016/7

Module Convenor: Dr Rob Hosfield

Email: r.hosfield@reading.ac.uk

Summary module description:
This module teaches quantitative analytical methods (univariate and multivariate statistical techniques and principles) appropriate to environmental archaeological techniques and approaches. The module will familiarise students with standard statistical packages, and data management and presentation techniques. The module is team-taught, using a mixture of lectures and practicals, with in-class problems and exercises. The module is fully coursework assessed.

Aims:
This module is designed to teach quantitative analytical methods appropriate to environmental archaeological techniques and approaches. The module is designed to familiarise students with univariate and multivariate statistical principles and a range of core statistical analytical methods and techniques, prior to undertaking Masters degree-level dissertation work. The practical sessions will also familiarise students with standard statistical software packages (e.g. Microsoft Excel and SPSS). In addition students will learn how to prepare environmental archaeological statistical data-sets for analysis and presentation/publication, primarily through the assessed project.

Core Reading:

Shennan, S.J. 1997. Quantifying Archaeology. Edinburgh: Edinburgh University Press.
Field, A. 2009. Discovering Statistics Using SPSS (3rd Edition). London: Sage Publications Limited. Chapters 1-2, 4-7, 9-10, 15.
VanPool, T. & Leonard, R.D. 2011. Quantitative Analysis in Archaeology. Chichester: Wiley-Blackwell.

Assessable learning outcomes:
Students will be expected to:
• Demonstrate comprehensive understanding of the statistical principles and methods for a range of univariate and multivariate statistical techniques appropriate to environmental archaeological investigations;
• Appropriately apply statistical techniques to quantitative Environmental Archaeology data sets (e.g. assessing the data requirements of parametric tests; conducting pre-analysis manipulation of quantitative data sets);
• Demonstrate professional data management practices, including preparing quantitative data sets for analysis and presentation;
• Demonstrate technical competency in IT skills appropriate to the specific software packages used during the module (e.g. Microsoft Excel, SPSS and/or PAST; although the exact range of software may vary slightly depending on SAGES staff involvement);
• Use appropriate professional environmental archaeological standards at all stages of the quantitative data investigation.

Additional outcomes:
Students’ presentation skills and use of IT will be enhanced through the practical sessions and the in-class exercises and the final project report. Their team working skills will also be developed through participation in discussions within the lectures and practical sessions, and through the completion of the in-class practical exercises.

Outline content:
The weekly sessions (1 hour lecture + 2 hour practical) will be taught around topics such as the following (although the exact range of topics may vary slightly depending on SAGES staff involvement): basic data types; visual summaries; descriptive statistics; the normal distribution; standard non-parametric tests (e.g. Chi-Squared, Kolmogorov-Smirnov, Mann-Whitney); standard parametric tests (e.g. T-test, ANOVA, correlation, and regression); sampling and radiocarbon modelling; and multivariate statistics (drawing upon examples from selected methods, e.g. multiple correlation and regression, Principle Component Analysis (PCA), and/or discriminant function analysis). The module will finish with a surgery class based around the project assessment. Throughout the module attention will be paid to appropriate methods/techniques of presentation/publication of quantitative data. Examples will be based on standard environmental archaeological methods and data sets.

Global context:
NA

Brief description of teaching and learning methods:
The module will be taught using a series of lectures and practical sessions (based around set exercises in statistical theories and methods), combined with the final project report (requiring the use of multiple statistical methods and techniques in the analysis and presentation of a supplied data set). Data sets and examples will have an environmental archaeological focus, although the module’s quantitative principles and methods are relevant for all Masters students. The module will be team-taught by Archaeology Dept. staff.

As a 10 credit module, Quantitative Methods in Environmental Archaeology should involve 100 hours of study time: attending lectures and practicals, general background reading, and data analysis and writing your report. You should therefore expect the following sort of workload:

- 30 hours: Contact hours in formal teaching sessions (lectures & practicals);
- 20 hours: General background reading and note-taking from key texts for each week’s topic(s) - i.e. 2 hours per week;
- 50 hours: Data analysis for, and writing, the project report.

Contact hours:
  Autumn Spring Summer
Lectures 9
Project Supervision 3
Practicals classes and workshops 18
Guided independent study 70
       
Total hours by term 100.00
       
Total hours for module 100.00

Summative Assessment Methods:
Method Percentage
Report 100

Other information on summative assessment:
One 3,000 word project report (100%), to be submitted on dates to be set by the Department. Individual written feedback will be provided.

Formative assessment methods:
Formative feedback will be provided during practical classes.

Penalties for late submission:
Penalties for late submission on this module are in accordance with the University policy. Please refer to page 5 of the Postgraduate Guide to Assessment for further information: http://www.reading.ac.uk/internal/exams/student/exa-guidePG.aspx

Length of examination:
NA

Requirements for a pass:
A mark of 50%.

Reassessment arrangements:
Resubmission of coursework during August, but it cannot carry forward more than a pass mark.

Additional Costs (specified where applicable):

Last updated: 21 December 2016

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