Statistical models are increasingly common in social science research. Many researchers whose interests are substantive rather than methodological struggle to understand these techniques and are disinclined to engage with research that employs these approaches. This workshop is designed for researchers who would like to learn about statistical modelling.

This half day workshop will be orientated towards researchers who do not normally use statistical methods but would like to be introduced to statistical modelling. It will be ideal for busy researchers who do not have time to go on longer workshops or courses. It will also be a useful refresher course for researchers whose last encounter with statistics was during their undergraduate degree.

If you frequently skip over tables of statistical modelling results when reading journal articles then you will benefit from attending this workshop.

The event is intended to be engaging and informative and there will be audience participation and practical demonstrations.

Mathematical ability is not required.

Conceptual ideas relating to statistical modelling will be introduced at a level that, although technically elementary, shows how statistical ideas can address major social scientific issues.

The workshop will also point to training resources where greater depth of technical competence can be acquired.

Basic Concepts in Statistical Data Analysis
Probability
Significance Tests
Relationships in Data
Correlations
Confidence Intervals
Bivariate Relationships
Ordinary Least Squares
Statistical Data Analysis Software
Interpreting Statistical Modelling Results

Vernon Gayle, Susan Murray & Roxanne Connelly (2016) Young people and school General Certificate of Secondary Education attainment: looking for the ‘missing middle’, British Journal of Sociology of Education, 37:3, 350-370, DOI: 10.1080/01425692.2014.935292

https://www.tandfonline.com/doi/full/10.1080/01425692.2014.935292 (you may require academic institutional access)

Link to Regression Model Table 3 https://www.tandfonline.com/doi/figure/10.1080/01425692.2014.935292?scroll=top&needAccess=true

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/).

Pevalin, D. and Robson, K., 2009. The Stata survival manual. McGraw-Hill Education (UK). https://www.amazon.co.uk/stata-survival-manual-Pevalin/dp/0335223885/ref=sr_1_1?ie=UTF8&qid=1530725105&sr=8-1&keywords=stata+survival+manual
Many students like this introductory textbook.

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

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.

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.

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).

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

SPSS www.ibm.com/DataStatistics/SPSS
SAS www.sas.com
R https://cran.r-project.org
Python www.python.org
Julia https://julialang.org/