1 / 38

Enriching Social Science Teaching with Empirical Data (ESSTED)

Enriching Social Science Teaching with Empirical Data (ESSTED). Teaching Politics with Quantitative Data Mark Brown, Jen Buckley (and the ESSTED team) www.socialsciences.manchester.ac.uk/essted. Outline. Context: constraints and motivations for teaching with quantitative data

zander
Télécharger la présentation

Enriching Social Science Teaching with Empirical Data (ESSTED)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Enriching Social Science Teaching with Empirical Data (ESSTED) Teaching Politics with Quantitative Data Mark Brown, Jen Buckley (and the ESSTED team) www.socialsciences.manchester.ac.uk/essted

  2. Outline • Context: constraints and motivations for teaching with quantitative data • Examples from Manchester • Quantitative Resources for teaching

  3. Introductions 2 perspectives? • Subject specialists.. Looking for ways to make more and better use of relevant quantitative data in their teaching. • Methods teachers looking for a more integrated way of embedding QM training in the curriculum - Students more likely to engage with quantitative data if they encounter it as a normal and integrated part of learning about substantive issues

  4. Quants Disconnected Substantive Modules Methods Modules

  5. Making bridges(bringing relevance to the methods module) • Lots of progress with this: • use of real world datasets • quants taught in substantive context • Students see relevance > more engaged

  6. Making bridges(enriching substantive teaching with quants data and method) • Less of this going on : • Substantive modules often lack much reference to quants data • very few make quant skills explicit in assessment activities

  7. The Uk Data Service: an embarrassment of riches for teaching QM Methods Modules • British Social Attitudes • British ElectionStudy • Health Survey for England • Crime Survey for England • Labour Force survey • Smoking Drinking and Drug use among young People • Understanding Society • etc. etc. etc. • Substantive modules ? Using this data has helped methods modules connect to the substantive curriculum But we currently make relatively little use of it outside the methods classes

  8. Embedding QM in Substantive TeachingESRC Curriculum Innovation (CI) > Q-Step Teaching Partnerships (Sociology and Politics) • Intro to Comparative Politics • Power and Protest • The Sociology of Personal Life • Racism and Ethnicity in the UK • Elections and Voters • The Sociology of Spiritual Life • The Dissertation • Politics of Policy Making • Research skills for Politics • Urban Sociology • The Politics Project • British Society in a Globalising World • Work Economy and Society • …. QUANTS DATA & METHOD • Showing the contribution of QM within the discipline/subject area • Giving students the skills and confidence to engage with quantitative evidence. • Making connections with the methods modules

  9. Models for embedding • Light touch e.g incorporating some up-to-date statistics in lecture slides • More challenging e.g. tutorial exercises involving hands on work with data

  10. Slides for Power and Protest

  11. A tutorial exercise(sourcing tables on attitudes to welfare and poverty)

  12. Manchester observations • No resistance to the idea of bringing in more quants to substantive modules • Positive response to the quant skills agenda and recognition that it would enhance their courses • Lack of data in teaching more typically reflected lack of time for course development (sourcing and preparation of data can be very time consuming), and a degree of inertia.

  13. Your experience? Constraints to use of quantitative data in teaching • Quantitative data not relevant • Quantitative data not available • Lack of time to find relevant data and incorporate into teaching • Lack of confidence/data skills to use in teaching (including TAs) • The basic level of student quantitative skills • Other

  14. The problem • Suggest the problem is not ‘is there good data’ • but the time investment required to find it and prepare it for teaching • …and/or lack of confidence/skills to go beyond use in slides • Approach at Manchester has been to try and address that by supporting subject specialists with ‘teaching partnerships’ • Two challenges.. • Finding the relevant data resources • Developing models for using data in teaching Sourcing Data > teach-ready data > use in teaching

  15. Embedding in Practice • Making Students Part of the Dataset

  16. Example 1 Attitudes to Immigration What we did • 4 BSA Questions set up as a Blackboard Survey • Class results used as a basis for comparison with national sample • Used as lecture content and a tutorial exercise

  17. Making Students part of the DatasetViews of cultural impact of immigration over last 10 years 2011 British Social Attitudes

  18. Observations • Easily integrated into the existing course format • Tutorial exercise led by the substantive question (why the differences?) • but introducing a host of important quantitative concepts and skills (in a natural and non-threatening way) • Measurement • Samples and Populations • Making comparisons • Making students active participants (part of the dataset) generates interest and demystifies the process of data derivation

  19. Example 2Attitudes to inequality and the welfare state • Same idea (7 BSA questions in BB) • but this time replacing tutorial with a one hour computer workshop using http://www.britsocat.com/ • Students compared their own class results against the national sample • ...and undertook some simple cross-tabulations of the national sample • ... Saved and used those outputs as part of their required evidence base for a coursework project

  20. Observations • Again the focus of the exercise is kept on the substantive questions, but students are actively engaging with / practicing quantitative skills • Using http://www.britsocat.com/ - opens up possibility of working hands on with a large scale dataset WITHOUT requirement of prior SPSS training (within 1 hour students with no prior experience were confidently pulling off bespoke tables) • Just needed computer cluster for 1 week of course (securing large teaching clusters can be a major barrier to greater use of hands on data work outside the methods modules)

  21. Embedding in Practice • An evidence base for exploring and critiquing theory

  22. Quantitative data as an evidence base for engaging with theory • Social science students need to understand and critique a range of theories • But many do this without much explicit engagement with the evidence base (particularly quantitative), especially in their assessed work • Reflects in part a lack of exposure to this data in the delivery of courses

  23. Example 3Power and Protest • Focussed on a week looking at trends in political participation • Used BSA data as an evidence base for a class debate on whether the young are disengaging from politics What we did.. • Last year – students provided with a set of handouts of tables sourced from BSA and Hansard’s Audit of Political Engagement- used as evidence to debate different theories introduced in the lecture • This year – students provided with handouts from the Audit of Political Engagement only ... and instructions on how to source their own tables from http://www.britsocat.com/ - which they printed off and brought to the debate

  24. Tables from British Social Attitudes (Various Years) (Population: Adults aged 18 years and over resident in Great Britain) 1. Question: About a government action which you thought was unjust and harmful. Have you ever … Gone on a protest or demonstration? (0) Never Done (1) Ever done Percent answering 'Ever done'' Age group1983 n 2000 n 2011 n <25 4.5 222 1.7 241 7.4 241 25-44 2.2 640 11.7 879 7.1 879 45-64 1.6 514 12.6 728 9.6 728 65+ 0.6 338 3.6 439 6.1 439

  25. Observations • An exercise with multiple learning objectives • Using evidence to evaluate theory • Sourcing and presenting evidence • Interpreting tables • Critical evaluation of evidence • And students seemed positive about the experience - evidence that the exercise enhanced their learning with less sign of the ‘numbers phobia’ encountered in the methods modules....

  26. For the group of students who especially liked the workshop, I asked them to write down for me why they liked it....

  27. Engaging with theory Developing own perspective: ‘What I found helpful about being given tables of data to look at and analyse in the lecture was that by being given the numerical data we were able to critically engage with the results and therefore interpret them and think of the causality ourselves, rather than being told what the results are and what this means by a sociologist who may have put their own perspective on them’ Critical engagement: ‘The quants activity we did in the workshop really helped when we were discussing the theories with each other. I know some people find looking at tables really daunting but I think it really helps to back up some sociological arguments with stats. For me personally I always feel like I understand the theory better when I can use quants to argue around it. I'm using that topic for the exam and I find it really aids my revision because I can critically engage with the theories really easily using the stats’

  28. Engaging with theory Relevance of theory: ‘I found it extremely useful to learn about the theory and then have some real life contextual evidence to engage with - it makes the theories feel more worth while learning about. Sometimes I feel that it is easy to forget that the theories we learn about in lectures are actually real life issues that really do effect the way that people live their lives, their opinions and actions. Personally, I can get a little bogged down with theoretical abstract debates and loose sense of the issues as they are in reality. Adding some quantitative analysis to my learning enables me to see the wider context of theories and how they fit into real life statistical changes over time or to the present day’. 

  29. A (rare) chance to develop skills and confidence ‘I felt it was very useful to have practice looking at tables in lectures and then having a chance to discuss them as a group, as throughout sociology, unless you chose to take quantitative modules, you come into little contact with the actual data and so when it does appear it can seem quite intimidating. This means that if it appears in readings, I think most people skim over it as they are not sure what it is showing or where to begin with analysing it, so making it more incorporated into lectures may give people a chance to become familiar with it and would mean that they are more confident with approaching data when it comes to the dissertation for example’

  30. Transferable skills/employability ‘I also feel that having the confidence to look at numerical data will be useful once we have left university and so having it incorporated within our discipline is a good way of making us familiar with it’ ‘Quantitative analysis is also an important transferable skill that I have now been able to add to my CV and utilise whilst doing graduate scheme online maths tests that often require you to analyse data and numerical tables’   I really enjoy using quants in lectures but I know others don't, I just feel like it might be helpful for various jobs knowing how to use and analyse statistics’

  31. Politics of Policy Making

  32. Quantitative Embedding at Manchester How sustainable? • In all cases the quants level of the embedding was basic.. Once developed, lecturers could repeat and deliver the innovations without the need for external support • However, initial development depended on dedicated resources (including RA time to source and prepare data). The embedding initiative is being driven on by appointment of Q-Step funded lecturers • But much harder where this support is lacking… especially if trying to generate teaching resources from source data – Time for course development/innovation inadequately covered in WAMs • Growing interest in Open Education Resources (OERs)

  33. Data for Teaching • UK Data Service http://ukdataservice.ac.uk/ – gateway to vast amounts of ‘raw’ data – but can require major investment to source and prepare for teaching (a goldmine for QM teachers but less obvious use in substantive classes) • But technical innovations are bringing increasing amounts of good social data to the non-specialist in a form that can be readily used in teaching. • Includes many good sources for the Politics classroom..

  34. Some examples.. Survey data – citizen attitudes and participation • World Values Survey • http://www.worldvaluessurvey.org/wvs.jsp • Centre for Comparative European Survey Data (CCESD) • http://www.ccesd.ac.uk/Home • British Election Study • http://www.besis.org/ • http://www.britishelectionstudy.com/ • British Social Attitudes • Includes online data access through simple interface http://www.britsocat.com/ • http://www.bsa-30.natcen.ac.uk/ - online micro site detailing findings from 30th BSA report with nice infographics showing change between 1983 and 2013 covering topics such as.. Measures of political engagement, participation, trust and efficacy; Attitudes towards political issues such as the welfare state, immigration and gender roles

  35. Some examples.. Survey data – citizen attitudes and participation • European Social Survey • http://www.europeansocialsurvey.org/ • http://essedunet.nsd.uib.no/ • Online training through ESS EDUnet with modules on Social and Political Trust and Immigration • Understanding Society • https://www.understandingsociety.ac.uk/ • The Understanding Society website provides detailed information about the survey and friendly summaries of key findings and podcasts including Gender inequality, youth volunteering, ‘green’ attitudes and behaviour .

  36. Parties and Governments • Comparative Manifestos Project • https://manifesto-project.wzb.eu/ • Data on political preferences of parties across time and space • Policy Agendas • The Policy Agendas Project collects and organizes data from various archived sources to trace changes in policy agendas and public policy outcomes. • For the US http://www.policyagendas.org/ • For the UK http://www.policyagendas.org.uk/ • Comparative http://www.comparativeagendas.info/

  37. Other • The Guardian Datablog • The Guardian Datablog and Datastore provide access to data through engaging visualisations and easy downloads. Examples of useful resources include • Turnout and party choice interactive graphs • http://www.theguardian.com/news/datablog/interactive/2013/dec/27/voter-apathy-1964-2010-change-voting-behaviour • Government spending infographic • http://www.theguardian.com/news/datablog/2012/dec/04/government-spending-department-2011-12 • Gapminder • http://www.gapminder.org/ • Interactive website developed by Hans Roslin for visualsing macro data covering varied topics including Spending and Receipt of Aid budgets, Education levels and Health. The site is especially directed towards exploring ideas about the ‘developed’ and ‘developing world’

  38. Sharing teaching materials • Jorum • http://www.jorum.ac.uk/ • Searchable Repository for Open Educational Resources (OERs) • Likely to expand under Q-Step

More Related