Across the social sciences there is widespread agreement that longitudinal data provides powerful research resources. Many books and courses on longitudinal data analysis are oriented towards statistics and they often lack adequate coverage of the common practical challenges associated with undertaking ‘real’ research. This workshop is specially designed for social scientists. It provides a brief and highly accessible introduction to quantitative longitudinal data analysis using Stata software

The research value of longitudinal data
Sources of longitudinal data
Analysing repeated cross-sectional data
Duration models
Panel data models
The workflow in longitudinal data analysis
Getting started using Stata
Practical exercises in longitudinal data analysis

The course will be supported by

Gayle, V. and Lambert, P. (2018) What is Quantitative Longitudinal Data Analysis? Bloomsbury Publishing.

Available at Amazon https://tinyurl.com/y8cbf7c2 or directly from Bloomsbury https://tinyurl.com/y9x5fltk

WARNING!

No research micro data will be distributed during this workshop.

The files required are available in this git repository.

Participants MAY NOT make copies of these files or distribute them.

The files have been specifically created by AQMEN for training and MUST not be used for social science research.

THE DATA ARE NOT REAL! DO NOT USE THEM FOR REAL ANALYSES!

We advise that participants galvanise their training experience and work with 'genuine' data files which they can dowload legally from the UK Data Service (http://ukdataservice.ac.uk/ - the old site is www.esds.ac.uk but you will be redirected).

At workshops where real survey datasets are used participants MUST sign a data access agreement.

Real administrative data are never used in training settings.

Files:

British Household Panel Study https://www.iser.essex.ac.uk/bhps/
Understanding Society - The UK Household Longitudinal Study https://www.understandingsociety.ac.uk/
CLOSER https://www.closer.ac.uk/
US Panel Study of Income Dynamics https://psidonline.isr.umich.edu/
The Cross National Equivalence Files https://cnef.ehe.osu.edu/
The Household, Income and Labour Dynamics in Australia (HILDA) https://melbourneinstitute.unimelb.edu.au/hilda

These links are to Amazon (https://www.amazon.co.uk) but there are a number of other reputable academic book sellers (e.g. https://blackwells.co.uk/bookshop/shops/).

Gayle, V. and Lambert, P., 2018. What is Quantitative Longitudinal Data Analysis?. Bloomsbury Publishing. https://www.amazon.co.uk/Quantitative-Longitudinal-Analysis-Research-Methods/dp/1472515404/ref=sr_1_1?s=books&ie=UTF8&qid=1530726864&sr=1-1&keywords=vernon+gayle
My recent book on longitudinal data analysis (using Stata).

Kohler, U. and Kreuter, F., 2012. Data analysis using Stata. Stata press. https://www.amazon.co.uk/Data-Analysis-Using-Stata-Third/dp/1597181102/ref=sr_1_1?s=books&ie=UTF8&qid=1530725888&sr=1-1&keywords=kohler+and+kreuter
This is a first class text book. It is clearly written and very comprehensive and has successfully been used as a core textbook on several courses that I have taught.

Mehmetoglu, M. and Jakobsen, T.G., 2016. Applied statistics using Stata: a guide for the social sciences. Sage. https://www.amazon.co.uk/Applied-Statistics-Using-Stata-Sciences/dp/1473913233/ref=sr_1_2?s=books&ie=UTF8&qid=1530725649&sr=1-2&keywords=Stata
This is a first class text book. It is clearly written and very comprehensive

Gayle, V.J. and Lambert, P.S. (2017) The Workflow: A Practical Guide to Producing Accurate, Efficient, Transparent and Reproducible Social Survey Data Analysis. NCRM Working Paper. NCRM. http://eprints.ncrm.ac.uk/4000/
A practical guide to the data analysis workflow.

Long, J.S. and Long, J.S., 2009. The workflow of data analysis using Stata. College Station, TX: Stata Press. https://www.amazon.co.uk/Workflow-Data-Analysis-Using-Stata/dp/1597180475/ref=sr_1_1?s=books&ie=UTF8&qid=1530726163&sr=1-1&keywords=stata+workflow
A fantastic book. This is the 'bible' of good data analysis workflow practices.

https://stats.idre.ucla.edu/stata/
https://www.stata.com
https://www.stata.com/links/resources-for-learning-stata/
http://www.restore.ac.uk/Longitudinal/

https://www.stata.com/links/resources-for-learning-stata/
https://geocenter.github.io/StataTraining/portfolio/01_resource/
https://www.datasciencecentral.com/group/resources/forum/topics/stata-cheat-sheet

http://www-personal.umich.edu/~agrogan/stata/TwoPageStata.pdf

A discussion of pseudo R squared measures
https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-what-are-pseudo-r-squareds/

Missing Data Methods
http://www.missingdata.org.uk/

A usedful paper on presenting modelling results
Connelly et. al (2016)
http://journals.sagepub.com/doi/pdf/10.1177/2059799116638002

Some useful Stata code for outputing model results

global path8 "e:\tables"

logit yvar i.x1 i.x2 x3
estimates store logit

#delimit ;
esttab logit using $path8\logit1.rtf,
cells("b(fmt(3))se(fmt(3)) t(fmt(3)) p(fmt(3))")
stats(r2_p N, fmt(%9.2f %9.0f) labels(R2(pseudo) n))
starlevels(* .10 ** .05 *** .01) stardetach
label mtitles(" ")
nonumber
title(Title of my model here)
nogaps replace ;
#delimit cr

More information from Ben Jann, Institute of Sociology, University of Bern, [email protected].
http://repec.org/bocode/e/estout/advanced.html

No research micro data will be distributed during this workshop.

The files required are available in this git repository.

Participants MAY NOT make copies of these files or distribute them.

The files have been specifically created by AQMEN for training and MUST not be used for social science research.

THE DATA ARE NOT REAL! DO NOT USE THEM FOR REAL ANALYSES!

We advise that participants galvanise their training experience and work with 'genuine' data files which they can dowload legally from the UK Data Service (http://ukdataservice.ac.uk/ - the old site is www.esds.ac.uk but you will be redirected).

At workshops where real survey datasets are used participants MUST sign a data access agreement.

Real administrative data are never used in training settings.