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Click here for Prof Pryce's contact details.

This page includes a large amount of downloadable material, aimed largely at those learning applied social statistics.  Most of the resources have been created in conjunction with the development of the Inference and Statistics in SPSS book by Prof Pryce and the Social Science Statistics postgraduate courses at the Faculty of Law, Business and Social Sciences Graduate School, University of Glasgow.  The resources are, however, freely available for use by anyone with an interest in improving their knowledge of SPSS and introductory statistics. In addition to macros, syntax, and answers to problems, you will find lecture slides, data sets, additional exercises, mind maps and other resources. 

If you scroll down to the end of the page you will also find a series of guest lectures to the Mackintosh School of Architecture on the relationship between economics, planning and design. If you are interested in housing economics and statistics, please go to the Housing Resources page where you will find lecture slides, short articles, academic research papers, and other resources which can be freely downloaded.

If you have any comments (positive or negative) regarding any of the content on this page or if you have ideas for how this page (or indeed any of the pages on this site) could be improved, please contact Prof Pryce.






Map out your research career at Glasgow!

Find out more about the suite of excellent Research Training Masters degrees offered by one of the UK's top social science faculties.

  • Click here for a leaflet.
  • Click here for a poster. 
  • Click here to go directly to the faculty website.





  • For M&S Lecture 1 click here
  • For M&S Lecture 2 click here
  • For M&S Lecture 3 click here
  • For M&S Lecture 4 click here
  • For M&S Lecture 5 click here
  • For M&S Lecture 6 click here


  • For M&S Tutorial click here



Course Assignment

Click here to download a copy of the course assignment for 2009/2010.  Datasets you may need for the assignment:

Course Resources

  • Click here for Draft Course outline 2005/2006

Social Science Statistics I: Lecture Overheads

  • For Quants I Lecture 1 click here
  • For Quants I Lecture 2 click here
  • For Quants I Lecture 3 click here
  • For Quants I Lecture 4 click here
  • For Quants I Lecture 5 click here
  • For Quants I Lecture 6 click here
  • For Quants I Lecture 7 click here
  • For Quants I Lecture 8 click here

Social Science Statistics I: Reading, Lab Exercises, Syntax

  • For the revised lab exercises & guide to reading, click here.

For the syntax "answers" for each week's lab exercises, click on the relevant link below (these files assume you are using a lab computer):

If you are working from your own PC (as opposed to a lab PC) you will find the following versions of files more useful since the syntax refers to the C:\ drive, rather than the Q:\ and H:\ drives

Data for Social Science Statistics I:


These files should be copied into a folder on your C: drive called STATISTICS (i.e. C:\STATISTICS).  The datasets are also available below as separate files:

These files should also be available from the Q:\QUANTS folder of the Adam Smith Labs.  If you plan to use these data sets on campus but from other lab computers, you might want to copy these files onto your H:\ drive.

Macros for Social Science Statistics I: For Home Use


Once you have downloaded the files it will improve ease of use if you customise the syntax-window menu bar in SPSS. Detailed instructions on how to do this are given in the installation instructions:

If you would rather not install these macros on your hard-drive, you can instead save only the datafile one.sav to the C:QUANTS directory (which you will need to create if it does not already exist), and open and run the entire QUANTSCOMMANDS.SPS file directly from this website each time you open up SPSS. You should then be able to use all the macros listed in the textbook.

Macros for Social Science Statistics I: For ASB Labs

If the macros have not been installed on the lab machine you are using, you can still access the macros by opening the file below, highlighting all its contents by pressing CTRL+A and running the whole lot as though it were one command. You will need to do this every time you start a new session in SPSS.

Mind Maps for Social Science Statistics I:

Mindmaps can be viewed using Mindjet's free viewer software which can be downloaded by clicking here and selecting the button labelled Get Mindjet MindManager Viewer.

  • For overview of SSS I course, click here
  • For mindmap of Confidence Intervals, click here (coming soon)
  • For mindmap of Hypothesis tests, click here (coming soon)



Lecture overheads for Social Science Statistics II:

  • To download Lecture 1 click here.
  • To download Lecture 2 click here.
  • To download Lecture 3 click here.
  • To download Lecture 4 click here.
  • To download Lecture 5 click here.
  • To download Lecture 6 click here.
  • To download Lecture 7 click here.
  • To download Lecture 8 click here.
  • To download Lecture 9 click here.

Lecture notes for SSSII:

  • Chapter 1: Correlation and Inference from regression. Click here.
  • Chapter 2: Prediction and ANOVA. Click here.
  • Chapter 3: Non-Linearities and Dummies.Click here.
  • Chapter 4: F-Tests. Click here.
  • Chapter 5: Ommitted Variables. Click here.
  • Chapter 6: Heteroscedasticity. Click here.
  • Chapter 7: Multicolinearity. Click here.
  • Chapter 8: Logit. Click here

Click here for a copy of the 2007 assignment brief. Click on the link below to download the mortality dataset:

Macro for computing White's Standard Errors:

The following macro was written by Andrew F. Hayes of Ohio State University.  See hcreg.pdf for technical background to the macro. To use the macro, follow the steps below:

    1. Copy both of the following files onto your hard disk. 

    2. Then open whitesSE.sps file (tells you how to use the hcreg file).





The purpose of the course is to provide a framework for supporting students in the use of quantitative methods in years two, three and four of their PhD.  There is clearly a need to consolidate the skills and techniques learnt in Social Science Statistics training provided in the first year of the 1+3 programme, skills that are quickly lost if not in frequent use. 


The course aims to:

1. develop students’ knowledge of a number of advanced quantitative techniques appropriate to postgraduate research in social science.

2. supplement and enhance the continued support currently provided by supervisors and informal advise offered by the Faculty Methodologist.

3. provide a framework for training in advanced quantitative techniques above and beyond those provided in Social Science Statistics I & II.

4. help students learn how to articulate quantitative issues. The language of statistics can be arcane. It is one thing to understand a statistics lecture, it's another to discuss or write about statistics in one's own words.  Yet this is what PhD students are required to do when they write up their thesis and defend it to an external  examiner.   By encouraging  students to participate in  discussions of statistical issues  and methods on a regular basis we hope to greatly increase their  capacity to articulate and critically evaluate quantitative  methods. 

5. encourage innovation in the application of quantitative methods, facilitate the dissemination of new research ideas and raise the level of enthusiasm for using quantitative methods.

Downloads for AQIM:

  • Course outline (click here)
  • Introduction to AQIM (click here)
  • Lecture 1: Reverse Causation & 2SLS (click here)
  • Lecture 2: Event-History Modelling (click here)




  • L1: Why architects need to listen to Economists (...& visa versa)
  • L2: Invisible Hand or the Emperor’s New Clothes?
  • L3: Why Karl Marx was an Economist.
  • L4: Workers of all nations Unite! Or maybe not...

Reading:



Click here for Prof Pryce's contact details.

Go to www.geebeejey.co.uk to order Inference and Statistics in SPSS by Gwilym Pryce (GeeBeeJey Publishing).


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