globe
  1. Basic texts 9 items
      • The nature of the research process is covered by Denscombe (2002).
      • The best textbook for sampling is Orton (2000). There are many textbooks on statistics of which Shennan (1997) is one of the standard ones.
      • Others include those by Fletcher & Lock (2005) and Drennan (2009).
      • There are many textbooks on the statistical package R but equally there are many free resources on the web.
      • David Carlson has produce a guide to performing all the analyses presented in Quantifying Archaeology in R and the data sets; see http://people.tamu.edu/~dcarlson/quant/Shennan/.
      • An excellent guide to creating clear graphs and tables is provided by Chapman & Wykes (1996).

    1. Ground rules for good research: a 10 point guide for social researchers - Denscombe, Martyn 2002

      Book Essential

    2. Sampling in archaeology - Orton, Clive 2000

      Book Essential

    3. Digging numbers: elementary statistics for archaeologists - Fletcher, Mike, Lock, G. R. 2005

      Book Essential

    4. Quantifying archaeology - Shennan, Stephen 1997

      Book Essential

    5. R for statistics - Pierre-André Cornillon c2012

      Book Essential

    6. Plain figures - Chapman, Myra, Wykes, Cathy, Civil Service College 1996

      Book Essential

  2. 4.1 Week 1 7 items
    1. Essential Reading 3 items
      1. How to research - Loraine Blaxter, Christina Hughes, Malcolm Tight 2010

        Book Essential Chapter 1-4

      2. Ground rules for good research: a 10 point guide for social researchers - Denscombe, Martyn 2002

        Book Essential Chapter 1, 2, and 4

      3. The data deluge - Andrew Bevan 12/2015

        Article Essential

    2. Recommended 4 items
      1. Chapter 1: Introduction - Clive Orton

        Chapter Recommended Digitised reading.

  3. 4.2 Week 2 4 items
    1. Essential reading 3 items
      1. Statistics in archaeology - M. J. Baxter 2003

        Book Essential Chapter 1

      2. Statistics for archaeologists: a commonsense approach - Robert D. Drennan c2009

        Book Essential CHAPTERS 1 and 4

      3. Quantifying archaeology - Stephen Shennan 1997

        Book Essential CHAPTERS 1 and 5

    2. Recommended 1 item
      1. R for statistics - Pierre-André Cornillon c2012

        Book Recommended Chapters 1 and 2 with information about R

  4. 4.3 Week 3 8 items
    1. Essential Reading 4 items
      1. Sampling in archaeology - Orton, Clive 2000

        Book Essential Chapter 2

      2. Statistics in archaeology - Baxter, M. J. 2003

        Book Essential Chapter 4

      3. Statistics for archaeologists: a commonsense approach - Robert D. Drennan c2009

        Book Essential E-BOOK. CHAPTER 7

      4. Quantifying archaeology - Shennan, Stephen 1997

        Book Essential Chapter 14

    2. Recommended 4 items
      1. Planning for the past: Vol. 3: Decision-making and field methods in archaeological evaluation - T. C. Champion, Stephen Shennan, Paul Cuming, University of Southampton. Department of Archaeology 1995

        Book 

      2. MARS: the monuments at risk survey of England, 1995 : main report - Timothy Darvill, Andrew K. Fulton, Bournemouth University. School of Conservation Sciences, English Heritage 1998

        Book 

      3. Evaluation of archaeological decision-making processes and sampling strategies - Gill Hey, Mark Lacey, Kent (England). County Council, Oxford Archaeological Unit c2001

        Book 

  5. 4.4 Week 4 5 items
      • There is more to presenting your data than just 'emptying' the contents of your notebook on the reader's head' (Wheeler).
      • We shall look at the issues involved in presenting data in tables and graphs, from the point of view of making them as intelligible as possible.
      • In the first lecture hour, we discuss such issues in depth and how to avoid the usual pitfalls.
      • The second lecture hours gives you a taste o the dramatically expanding world that is 'data visualistaion'.
      • The practical session shows you how to make attractive graphical plots in R.

    1. Essential Reading 3 items
      1. Plain figures - Chapman, Myra, Wykes, Cathy, Civil Service College 1996

        Book Essential

      2. A primer in data reduction: an introductory statistics textbook - Ehrenberg, A. S. C. c1982

        Book Essential Chapters 15-18

      3.  

         

        For graphics in R:

         

        http://www.barbicanra.co.uk/simple-r.html

         

        Book above

         

        Further open source information and documentation related to this book and project is available here:

         

        http://www.academia.edu/29415755/Basic_Statistical_Graphics_for_Archaeology_with_R_Life_Beyond_Excel_-_R_code

         

        You will need to look at all the links provided in the text to obtain all the updated necessary information  

    2. Recommended 1 item
      1. Quantifying archaeology - Stephen Shennan 1997

        Book Recommended Chapter 4

  6. 4.5 Week 5 4 items
    1. This week's focus is on spatial data in archaoelogy. In the first lecture hour, we consider the long-established technique of distribution mapping (e.g of artefacts or sites) in archaeology. Why has it been so important and what are its strengths and weaknessess as a method? The second lecture hour explores what other kinds of spatial analysis people regularly do with ' georeferenced' data in archaeology. The pratical session explores how to produce attractive maps in R.

    2. Essential Readings 2 items
      1. Geographical information systems in archaeology - James Conolly, Mark Lake 2006

        Book Essential Chapter 3

    3. Recommended 1 item
      1. Cartography: thematic map design - Borden D. Dent, Jeffrey Torguson, T. W. Hodler c2009

        Book Recommended

  7. 4.6 Week 6 6 items
    1. This is the first of two weeks focusing on a very common set of statistical techniques. In the first lecture hour, we consider significance test, a body of statistical methods that have long been used to assess whether an observed archaeological pattern 'has a case to answer' and should thus be treated as a meaningful pattern, or if it might instead simply be down to chance. The second lecture takes a look at extremely important initiatives to improve the transpancy and 'reproducibility' of published statistical and computational research in archaeology and other disciplines. The practical session focuses on the calculation of significance test in R.

    2. Essential Readings 3 items
      1. Quantifying archaeology - Shennan, Stephen 1997

        Book Essential Have a look for the methods discussed this week.

      2. Statistics for archaeologists: a commonsense approach - Robert D. Drennan c2009

        Book Essential E-BOOK- Have a look for the methods discussed this week.

    3. Recommended 2 items
  8. 4.7 Week 7 5 items
    1. In the first lecture hour, we consider futher types of confirmatory and exploratory statistical analysis, and when they are most approprately used. The second lecture changes tack a little look at the challenge and ptoentioal of 'mining' for patterns in datasets that are dauntingly large (often to the extent that they are difficult to store), but increasingly commonplace. The practical session focuses on further significance tests and regression models.

    2. Essential Reading 2 items
      1. Quantifying archaeology - Shennan, Stephen 1997

        Book Essential Have a further look for methods discussed this week.

      2. Statistics for archaeologists: a commonsense approach - Robert D. Drennan c2009

        Book Essential E-book- Have a further look for methods discussed this week.

    3. Recommended 2 items
      1. Green glass bottles - M. Biddle

        Chapter Recommended Digitised reading

      2. Introduction to the new statistics: estimation, open science, and beyond - Geoff Cumming, Robert Calin-Jageman 2017

        Book Recommended Has some interesting insights into a different style of data analysis

  9. 4.8 Week 8 2 items
    1. This week focuses on the oral communication of research results, thinking in the first hour about strategies for visual and oral presentation of archaeological data. The second lecture hour goes further and asks how we might make the traditional modes of research in an 'ivory-tower' more engaged with the public at all stages. The practical session shows you how to build a Powerpoint presentation.

    2. Recommended 1 item
  10. 4.9 Week 9 1 item
    1. References and Additional Reading 1 item
      1. This week looks closely at the kinds of questions and evidence that are especially relevant for assessment B and its emphasis on funerary data. In the first lecture hour, we consider what are the key types of questions address with quantified data from cemeteries, while in the second lecture hour contextualises we branch out to think yet more broadly about real frontiers of innovation in data science. including but not limited to funerary applications. The practical session is a change to work through some of your assessment data in more detail.

  11. 4.10 Week 10 1 item
    1. Both the lecture time and the practical for this week will be flexibly used to recap what we have covered so far. to answer and questions that have arisen and to troubleshoot any practical problems, especially with regard to Assessments B and C.

All rights reserved ©