Scottish Social Survey Network

Scottish Social Survey Network: Master Classes

The Scottish Social Survey Network will organise a series of Master Classes. The Master Classes will be led by an international expert in social survey data analysis.

The Master classes will cover the following topics:

Data Analysis with Stata (23 Jan 2008)

Panel Data Analysis (30 April 2008)

The Contribution of Multilevel Modelling (26 November 2008)

Methods to Estimate Causal Effects (26 August 2009)

Social Network Analysis (Affiliate Master Class and conference) (17-18 September 2009)

Missing Data (19 November 2009)

Analysing Complex Social Surveys (25 March 2010)

Forthcoming meetings:

Master Class 6 Analysing Complex Social Surveys: Thursday 25th March 2010*

Scottish Social Survey Network, Master Class on

'Analysing Complex Social Surveys'

Time/Date:
25 March 2010 (1000-1545hrs)

Venue:

University of Stirling

Title:
'Analysing Complex Social Surveys'

Instructors:

Professor Peter Lynn, Institute for Social & Economic Research,

University of Essex

Booking:
THIS MASTER CLASS IS NOW FULLY BOOKED!

Travel:
Getting to Stirling:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php

Parking:

Parking spaces at the university are limited. We suggest that if you are travelling by car, that you leave plenty of time to find a parking space. There are often plenty of car parking spaces near the halls of residence but it will take you 10-15 minutes to walk to the Cottrell Building.

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car

Map of the campus:

http://www.external.stir.ac.uk/documents/campus.pdf

If you get lost please call 01786467694 (Applied Social Science) and ask for directions.

Content:
vernon.gayle@stir.ac.uk

Course Notes:

* This Master Class is co-hosted by the Lancaster-Warwick-Stirling node (Developing statistical modelling in the social sciences)

http://www.ncrm.ac.uk/about/organisation/Nodes/LWS/

Previous meetings:

Master Class 1 on 'Data Analysis using Stata': Wednesday 23rd January 2008

This master class was arranged at short notice to substitute for the originally scheduled master class on multilevel modelling.

Scottish Social Survey Network, Master Class 1

Time/Date:
23rd January 2008 , 1000-1700 hrs

Venue:
University of Stirling

Title:
Data Analysis using Stata

Instructors:
Dr Vernon Gayle and Dr Paul Lambert, Department of Applied Social Science, University of Stirling

Booking:
- This ESRC funded workshop is free, but priority of places goes to members and participants of the Scottish Social Survey Network.

- Application for a place on the workshop should be by email to Paul Lambert (paul.lambert@stirling.ac.uk). The event is almost full [18/1/08], however, anyone interested is still welcome to request a place - we will do our best to fit you in.

Content / Materials
This master class described a selection of procedures for data analysis and data management of social survey data using the Stata software.

Materials from the session of 23rd January 2008

- Talk: Data Analysis and Data Management with Stata (ppt)

- Talk: Introduction to the Stata interface (ppt)

- Lab command file: Data analysis and data construction for complex survey

data (do files - see workshop materials at www.longitudinal.stir.ac.uk)

- Talk and Lab: Handling coefficients (ppt) (do file)

- Talk and Lab: Sample selected data (ppt) (do file)

- Talk and Lab: Multilevel data and analysis (ppt) (do file)

- Talk and Lab: Handling occupational data (ppt) (link to lab materials)

Master Class 2 on 'Panel Data Analysis': Wednesday 30th April 2008

Scottish Social Survey Network, Master Class 2

Time/Date:
Wednesday 30th April 2008, 1000-1700 hrs (registration 0930-1000hrs)

Venue: University of Stirling

Title: Panel Data Analysis

Instructor: Professor David Bell, University of Stirling

Booking:
- This ESRC funded workshop is free, but priority of places goes to members and participants of the Scottish Social Survey Network.

- This master class is now fully booked. Late queries are still welcome, by email to Paul Lambert (paul.lambert@stirling.ac.uk); we will accomodate you if at all possible but cannot promise.

Content:
In this master class, Professor Bell will discuss methods and research associated with the analysis of social survey panel data.

An intention of this master class is to help communicate approaches to data analysis which are widely used in econometrics, but are less well known to social scientists from other disciplines.

Draft programme contents (not confirmed):

1) Linear models
Properties of estimators; Elementary matrix algebra; Modelling by restriction; The structure of panel datasets; Within\Fixed Effects\Least Squares Dummy Variable estimator; Between estimator; Random effects estimator; Tests

2) Dealing with specification issues
Endogeneity; Lagged dependent variables; Non-normally distributed dependent variables

3) Illustrative lab examples (using Stata)

Files for download (pdf):

- Applications of panel models

- Regression revision

- Statistical foundations

- Random effects

- Introduction to Stata

- Matrix regression

- Pseudo-panels

Arrangements:
Registration begins at 9.30 am and the sessions will commence at 10.00 am in room 2A11 Cottrell Building.

Directions: http://www.external.stir.ac.uk/visitor_info/about/getting_here/

Campus Map: http://www.external.stir.ac.uk/maps/cottrell-int.pdf

Master Class 3 on 'The Contribution of Multilevel Modelling': Wednesday 26th November 2008

The Contribution of Multilevel Modelling [originally scheduled 1000-1700hrs, 23rd January 2008]

Scottish Social Survey Network, Master Class 3

Time/Date:
26 November 2008

Venue: University of Stirling

Title: The Contribution of Multilevel Modelling

Instructor: Professor Kelvyn Jones, Centre for Multilevel Modelling, University of Bristol

Booking:
- FULLY BOOKED 10.11.08

Getting to Stirling:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php

Parking:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car

Map of the campus:

http://www.external.stir.ac.uk/documents/campus.pdf

The Iris Murdoch Building is next to the Colin Bell Building (Applied Social Science) at the eastern end of the campus.

If you get lost please call 01786467694 (Applied Social Science) and ask for directions.

Multilevel Modelling:

As a reminder Ian Plewis’ short note on multilevel models might be useful

http://sru.soc.surrey.ac.uk/SRU23.html

There is also useful additional information on Multilevel Modelling at the Lemma website

http://www.cmm.bristol.ac.uk/learning-training/course.shtml

The class will also feature short lab based exercises using the MLwiN package (MLwiN is freely downloadable to UK academics:

www.cmm.bristol.ac.uk/MLwiN/)

Timetable

Master Class Slides

Practical Sessions 3 & 5 (MLwiN)

House.dat (ASCII data file)

Employ.wsz (MLwiN worksheet)

Master Class 4 on 'Methods to Estimate Causal Effects'

Wednesday 26th August 2009

Scottish Social Survey Network, Master Class on

'Methods to Estimate Causal Effects'

Time/Date:
26th August 2009

1000hrs-1700hrs

Room 2V1 Cottrell Building

Venue:
University of Stirling

Title:
Master class: Methods to Estimate Causal Effects

Instructor:
Prof. Sascha Becker, Dept. Economics, University of Stirling

Travel:
Getting to Stirling:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php

Parking:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car

Map of the campus:

http://www.external.stir.ac.uk/documents/campus.pdf

If you get lost please call 01786467694 (Applied Social Science) and ask for directions.

Booking:

- This ESRC funded workshop is free, including lunch and coffee breaks, but priority of places goes to members and participants of the Scottish Social Survey Network.

- Application for a place on the workshop should be by email to Paul Lambert (paul.lambert@stirling.ac.uk) at the eariest opportunity. Notification of confirmation of places will follow at the first available opportunity.

Participants in this Master Class may also be interested in an additional workshop taking place in Stirling earlier in the week.

Content:
This one-day Master Class will give unique expert insight into analysis for the purpose of estimating causal effects. It will cover Propensity Score matching techniques (for an alternative example see the SSSN seminar of May 2008), and Instrumental Variable estimations.

Sascha Becker has an international reputation in the field, and is the author of the popular Stata routines pscore and mhbounds used for Propensity Score matching.

Provisional schedule (details to be confirmed):

0930-1000: Arrival / registration

1000-1130: Propensity Score Matching (I)

1145-1230: Propensity Score Matching (II) - Techniques and applications

1230-1330: Lunch

1330-1500: Instrumental Variables (I)

1515-1645: Instrumental Variables (II) - An illustrative application

Recommended background reading:

Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press.

Morgan, S. L., & Winship, C. (2007). Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge: Cambridge University Press.

Course Notes

Affiliate Master Class and conference on 'Social Network Analysis': Thursday/Friday 17-18th September 2009

Scottish Social Survey Network, Affiliate Master Class and Seminar

Time/Date:
17 September 2009 (1200-1700hrs)

18 September 2009 (0900-1700hrs)

Venue:

Iris Murdoch Building, University of Stirling

Title:
Master class: Social Network Analysis Methodology and Software (17th Sept.)

Conference: Early career researchers' conference on Social Network Analysis (18th Sept.)

Instructors:

Master Class:

Dr Mike Pearson, Napier University

Dr Christian Steglich , University of Groningen

Conference convener:

Dave Griffiths, University of Stirling

Booking:
Further details and booking arrangements from the conference website.

This event is funded through Dave Griffiths' ESRC PostDoctoral Fellowship award on 'The Social Networks of the Public Elite'. A limited volume of travel bursaries are available to applicants (see the conference website).

Travel:
Getting to Stirling:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php

Parking:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car

Map of the campus:

http://www.external.stir.ac.uk/documents/campus.pdf

The Iris Murdoch Building is next to the Colin Bell Building (Applied Social Science) at the eastern end of the campus. If you get lost please call 01786467694 (Applied Social Science) and ask for directions.

Content:

(1) Master class speakers are (17 Sept. 2009):

Dr Mike Pearson, Napier University

Social Network Analysis and social survey data: The example of the West of Scotland Teenage Health Study

Dr Christian Steglich, ICS and University of Groningen, Netherlands

Siena

(2) Conference programme with speaker details (18 Sept. 2009):

See the conference website

Master Class 5 Missing Data and Multiple Imputation: Thursday 19th November 2009*

Scottish Social Survey Network, Master Class on

'Missing Data and Multiple Imputation'

Time/Date:
19 November 2009 (1000-1700hrs)

Venue:

The Court Room

Cottrell Building (i.e. the Main University Building)

University of Stirling

ENTER BY THE VISITORS' ENTRANCE

Title:
Missing Data and Multiple Imputation

Instructors:

Dr James Carpenter, Reader in Medical and Social Statistcs, London School of Hygiene and Tropical Medicine

Booking:
- This ESRC funded workshop is free, including lunch and coffee breaks, but priority of places goes to members and participants of the Scottish Social Survey Network.

THIS WORKSHOP IS FULL!

Travel:
Getting to Stirling:

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php

Parking:

Parking spaces at the university are limited. We suggest that if you are travelling by car, that you leave plenty of time to find a parking space. There are often plenty of car parking spaces near the halls of residence but it will take you 10-15 minutes to walk to the Cottrell Building.

http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car

Map of the campus:

http://www.external.stir.ac.uk/documents/campus.pdf

If you get lost please call 01786467694 (Applied Social Science) and ask for directions to "the Court Room in Cottrell Building".

Content:

Detailed programme

Lecture 1

Lecture 2

Lecture 3

Lecture 4

For further details on Dr Carpenter's research on missing data methodologies, see his website www.missingdata.org.uk

See also www.lshtm.ac.uk/msu/missingdata/guidelines.pdf

THIS MEETING WILL TAKE PLACE IN

THE COURT ROOM

COTTRELL BUILDING

(i.e. the Main University Building).

It is not in the Department of Applied Social Science.

ENTER BY THE VISITORS' ENTRANCE OF THE COTTRELL BUILDING.

* This Master Class is co-hosted by the Lancaster-Warwick-Stirling node (Developing statistical modelling in the social sciences)

http://www.ncrm.ac.uk/about/organisation/Nodes/LWS/

Home.

Last modified 13 January 2010
This document is maintained byVernon Gayle and Paul Lambert

(vernon.gayle@stirling.ac.uk ; paul.lambert@stirling.ac.uk)

	Scottish Social Survey Network, Master Class on 'Analysing Complex Social Surveys'
Time/Date:	25 March 2010 (1000-1545hrs)
Venue:	University of Stirling
Title:	'Analysing Complex Social Surveys'
Instructors:	Professor Peter Lynn, Institute for Social & Economic Research, University of Essex
Booking:	THIS MASTER CLASS IS NOW FULLY BOOKED!
Travel:	Getting to Stirling: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php Parking: Parking spaces at the university are limited. We suggest that if you are travelling by car, that you leave plenty of time to find a parking space. There are often plenty of car parking spaces near the halls of residence but it will take you 10-15 minutes to walk to the Cottrell Building. http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car Map of the campus: http://www.external.stir.ac.uk/documents/campus.pdf If you get lost please call 01786467694 (Applied Social Science) and ask for directions.
Content:	vernon.gayle@stir.ac.uk
Course Notes:

	Scottish Social Survey Network, Master Class 1
Time/Date:	23rd January 2008 , 1000-1700 hrs
Venue:	University of Stirling
Title:	Data Analysis using Stata
Instructors:	Dr Vernon Gayle and Dr Paul Lambert, Department of Applied Social Science, University of Stirling
Booking:	- This ESRC funded workshop is free, but priority of places goes to members and participants of the Scottish Social Survey Network. - Application for a place on the workshop should be by email to Paul Lambert (paul.lambert@stirling.ac.uk). The event is almost full [18/1/08], however, anyone interested is still welcome to request a place - we will do our best to fit you in.
Content / Materials	This master class described a selection of procedures for data analysis and data management of social survey data using the Stata software. Materials from the session of 23rd January 2008 - Talk: Data Analysis and Data Management with Stata (ppt) - Talk: Introduction to the Stata interface (ppt) - Lab command file: Data analysis and data construction for complex survey data (do files - see workshop materials at www.longitudinal.stir.ac.uk) - Talk and Lab: Handling coefficients (ppt) (do file) - Talk and Lab: Sample selected data (ppt) (do file) - Talk and Lab: Multilevel data and analysis (ppt) (do file) - Talk and Lab: Handling occupational data (ppt) (link to lab materials)

	Scottish Social Survey Network, Master Class 2
Time/Date:	Wednesday 30th April 2008, 1000-1700 hrs (registration 0930-1000hrs)
Venue:	University of Stirling
Title:	Panel Data Analysis
Instructor:	Professor David Bell, University of Stirling
Booking:	- This ESRC funded workshop is free, but priority of places goes to members and participants of the Scottish Social Survey Network. - This master class is now fully booked. Late queries are still welcome, by email to Paul Lambert (paul.lambert@stirling.ac.uk); we will accomodate you if at all possible but cannot promise.
Content:	In this master class, Professor Bell will discuss methods and research associated with the analysis of social survey panel data. An intention of this master class is to help communicate approaches to data analysis which are widely used in econometrics, but are less well known to social scientists from other disciplines. Draft programme contents (not confirmed): 1) Linear models Properties of estimators; Elementary matrix algebra; Modelling by restriction; The structure of panel datasets; Within\Fixed Effects\Least Squares Dummy Variable estimator; Between estimator; Random effects estimator; Tests 2) Dealing with specification issues Endogeneity; Lagged dependent variables; Non-normally distributed dependent variables 3) Illustrative lab examples (using Stata) Files for download (pdf): - Applications of panel models - Regression revision - Statistical foundations - Random effects - Introduction to Stata - Matrix regression - Pseudo-panels
Arrangements:	Registration begins at 9.30 am and the sessions will commence at 10.00 am in room 2A11 Cottrell Building. Directions: http://www.external.stir.ac.uk/visitor_info/about/getting_here/ Campus Map: http://www.external.stir.ac.uk/maps/cottrell-int.pdf

	Scottish Social Survey Network, Master Class 3
Time/Date:	26 November 2008
Venue:	University of Stirling
Title:	The Contribution of Multilevel Modelling
Instructor:	Professor Kelvyn Jones, Centre for Multilevel Modelling, University of Bristol
Booking:	- FULLY BOOKED 10.11.08
	Getting to Stirling: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php
	Parking: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car
	Map of the campus: http://www.external.stir.ac.uk/documents/campus.pdf The Iris Murdoch Building is next to the Colin Bell Building (Applied Social Science) at the eastern end of the campus. If you get lost please call 01786467694 (Applied Social Science) and ask for directions.
	Multilevel Modelling: As a reminder Ian Plewis’ short note on multilevel models might be useful http://sru.soc.surrey.ac.uk/SRU23.html There is also useful additional information on Multilevel Modelling at the Lemma website http://www.cmm.bristol.ac.uk/learning-training/course.shtml The class will also feature short lab based exercises using the MLwiN package (MLwiN is freely downloadable to UK academics: www.cmm.bristol.ac.uk/MLwiN/)
	Timetable
	Master Class Slides
	Practical Sessions 3 & 5 (MLwiN)
	House.dat (ASCII data file)
	Employ.wsz (MLwiN worksheet)

	Scottish Social Survey Network, Master Class on 'Methods to Estimate Causal Effects'
Time/Date:	26th August 2009 1000hrs-1700hrs Room 2V1 Cottrell Building
Venue:	University of Stirling
Title:	Master class: Methods to Estimate Causal Effects
Instructor:	Prof. Sascha Becker, Dept. Economics, University of Stirling
Travel:	Getting to Stirling: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php Parking: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car Map of the campus: http://www.external.stir.ac.uk/documents/campus.pdf If you get lost please call 01786467694 (Applied Social Science) and ask for directions.
Booking:	- This ESRC funded workshop is free, including lunch and coffee breaks, but priority of places goes to members and participants of the Scottish Social Survey Network. - Application for a place on the workshop should be by email to Paul Lambert (paul.lambert@stirling.ac.uk) at the eariest opportunity. Notification of confirmation of places will follow at the first available opportunity. Participants in this Master Class may also be interested in an additional workshop taking place in Stirling earlier in the week.

Content:	This one-day Master Class will give unique expert insight into analysis for the purpose of estimating causal effects. It will cover Propensity Score matching techniques (for an alternative example see the SSSN seminar of May 2008), and Instrumental Variable estimations. Sascha Becker has an international reputation in the field, and is the author of the popular Stata routines pscore and mhbounds used for Propensity Score matching. Provisional schedule (details to be confirmed): 0930-1000: Arrival / registration 1000-1130: Propensity Score Matching (I) 1145-1230: Propensity Score Matching (II) - Techniques and applications 1230-1330: Lunch 1330-1500: Instrumental Variables (I) 1515-1645: Instrumental Variables (II) - An illustrative application Recommended background reading: Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton: Princeton University Press. Morgan, S. L., & Winship, C. (2007). Counterfactuals and Causal Inference: Methods and Principles for Social Research. Cambridge: Cambridge University Press.
	Course Notes

	Scottish Social Survey Network, Affiliate Master Class and Seminar
Time/Date:	17 September 2009 (1200-1700hrs) 18 September 2009 (0900-1700hrs)
Venue:	Iris Murdoch Building, University of Stirling
Title:	Master class: Social Network Analysis Methodology and Software (17th Sept.) Conference: Early career researchers' conference on Social Network Analysis (18th Sept.)
Instructors:	Master Class: Dr Mike Pearson, Napier University Dr Christian Steglich , University of Groningen Conference convener: Dave Griffiths, University of Stirling
Booking:	Further details and booking arrangements from the *conference website.* This event is funded through Dave Griffiths' ESRC PostDoctoral Fellowship award on 'The Social Networks of the Public Elite'. A limited volume of travel bursaries are available to applicants (see the conference website).
Travel:	Getting to Stirling: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php Parking: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car Map of the campus: http://www.external.stir.ac.uk/documents/campus.pdf The Iris Murdoch Building is next to the Colin Bell Building (Applied Social Science) at the eastern end of the campus. If you get lost please call 01786467694 (Applied Social Science) and ask for directions.
Content:	*(1) Master class speakers are* (17 Sept. 2009): Dr Mike Pearson, Napier University Social Network Analysis and social survey data: The example of the West of Scotland Teenage Health Study Dr Christian Steglich, ICS and University of Groningen, Netherlands Siena (2) Conference programme with speaker details (18 Sept. 2009): See the *conference website*

	Scottish Social Survey Network, Master Class on 'Missing Data and Multiple Imputation'
Time/Date:	19 November 2009 (1000-1700hrs)
Venue:	The Court Room Cottrell Building (i.e. the Main University Building) University of Stirling ENTER BY THE VISITORS' ENTRANCE
Title:	Missing Data and Multiple Imputation
Instructors:	Dr James Carpenter, Reader in Medical and Social Statistcs, London School of Hygiene and Tropical Medicine
Booking:	- This ESRC funded workshop is free, including lunch and coffee breaks, but priority of places goes to members and participants of the Scottish Social Survey Network. THIS WORKSHOP IS FULL!
Travel:	Getting to Stirling: http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php Parking: Parking spaces at the university are limited. We suggest that if you are travelling by car, that you leave plenty of time to find a parking space. There are often plenty of car parking spaces near the halls of residence but it will take you 10-15 minutes to walk to the Cottrell Building. http://www.external.stir.ac.uk/visitor_info/about/getting_here/index.php#car Map of the campus: http://www.external.stir.ac.uk/documents/campus.pdf If you get lost please call 01786467694 (Applied Social Science) and ask for directions to "the Court Room in Cottrell Building".
Content:	Detailed programme Lecture 1 Lecture 2 Lecture 3 Lecture 4 For further details on Dr Carpenter's research on missing data methodologies, see his website www.missingdata.org.uk See also www.lshtm.ac.uk/msu/missingdata/guidelines.pdf
	THIS MEETING WILL TAKE PLACE IN THE COURT ROOM COTTRELL BUILDING (i.e. the Main University Building). It is not in the Department of Applied Social Science. ENTER BY THE VISITORS' ENTRANCE OF THE COTTRELL BUILDING.