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Lies, damned Lies and Statistics Rhys Jones Lecturer in Quantitative methods FE Cardiff University – SOCSI http://sites.cardiff.ac.uk/qstep/http://sites.cardiff.ac.uk/qstep/.
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Quantitative approaches in the social sciences Shortage in Social scientists with quantitative background (Williams, Payne and Hodgkinson 2008, Payne 2014, Platt 2014) Universities and Science Minister: "Evaluating and analysing data is an essential part of science education and we need more people with these important skills.” A level/FE Sociology content – research methods module at AS and A2
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What is Q Step? Q-Step is a nationwide initiative to promote a step change in quantitative social sciences (Nuffield 2014) £19.5m programme funded by UK Government Involves 15 centres - only Q-Step Centre in Wales is based at Cardiff University Scientific investigation of social process using statistical analysis
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A major strand of the Cardiff Q-Step Centre work will focus on the development of a new L3 qualification (and L2) in Social Analytics Working with WJEC, Welsh Government, Agored Cymru and Royal Statistical Society (now ICSE – International centre for Statistical Educati0n) Launch a new BSc Social Analytics in September 2015
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Pilot scheme in SA 2014/15 Two hours per week (Wed) 5 local school and colleges – 50 students Hosted at Cardiff University Postgraduate input Worksheets & activities completed in class Certificate of attendance Welsh Baccalaureate requirements (2015 compulsory)
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Programme: QCF level 3 Pilot in Social Analytics Course: Unit 1 – Social Science in Practise (SSP) Unit 2 – Applied Statistics (AP) Scheme of Work 2014/15 (Wednesday 4.00-5.00pm – break – 5.30-6.30pm) Week Date (Week commen cing) Topic Statistics covered Assessment/ Assignment Unit 1 SSP (4-5pm)Unit 2 AP (5.30-6.30pm) 115/09InductionDesigning research questions 222/09Introduction to healthPsychology of learning introduction Designing research questions and correlations Unit 2 AP - Launch coursework Hand in data: Draft:19/12/2014, Final:13/02/2015 329/09Health changes over timeWhat is intelligence?Hypothesis testing 406/10Infection and diseaseFood and learningt tests 513/10EpidemiologyGenes and learningt tests 620/10Data analysis and simulationANOVA 27/10Half Term break 703/11 Data analysis and visualisation Coursework and presentation guidance ANOVA Unit 1 SSP: Coursework/Worksheets 810/11 917/11 1024/11Gender and Health professionals Boys vs girlsANOVA 1101/12Science tech and the real world introduction Mass media and journalism introduction Chi squared test 1208/12What is science?Science in the mediaChi squared test
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Science Social Sciences Humanities Maths Business studies Welsh Bacc Health (medicine etc) Subjects Social Analytics supports
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Benefits Suitable for students studying sociology, psychology, mathematics, geography, health, business studies, economics and the sciences in either years 12 or 13 Opportunity to participate in the development of a new L3 Social Analytics Qualification Admissions tutor briefings from Cardiff University Improve students’ current attainment Enhance student UCAS applications Enriched learning environment
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LEARNING OUTCOMES ASSESSMENT CRITERIA The learner will: The learner can: 1.Know how social issues can be measured and monitored. 1.Explain the strengths and weaknesses of methods used to measure and monitor a range of social issues. 2.Outline the strengths and weaknesses of primary and secondary data. 3.Design hypotheses and related questions to explore social issues. 2.Be able to carry out statistical tests linked to data sets derived from social issues. 1.Perform ‘t’ tests to compare secondary data sets linked to the range of issues in 1.1. 2.Perform Chi squared tests on data sets related to a social issue. 3.Perform regression analysis between two variables. 3.Be able to evaluate the outcomes of statistical testing. 1.Evaluate the reliability and validity of evidence produced from statistical tests. 2.Draw conclusions from the analysis of the data sets.
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Assessment Information AC 1.1 A minimum of two different methods and two social areas e.g. Health, science and crime. AC 1.3 A minimum of two hypotheses. AC 2.1 A minimum of two tests. AC 2.2 A minimum of two tests. AC 2.3 A minimum of three sets of two variables. AC 3.1 Evaluate evidence from a minimum of two statistical tests. AC 3.2 A minimum of two data sets from a range of different issues.
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Other activities Teacher placement scheme CSC workshops WBQ 2015 Conference – Cardiff university (WJEC and WG) Pilot scheme in SA due to run again in Sep 2015 (2015/16) ESRC Festival of Social Science (Nov 2015)
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BSc Social Analytics Builds on pilot scheme SA (level-3) Placement module (6 week) 20 employers involved (ONS, Welsh Government, NatCen, British Gas, YouGov, Shelter Cymru) BSc Social Analytics – J395 BSc SA and Politics – L3HW
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References Nuffield Foundation (2014). Available from: http://www.nuffieldfoundation.org/q-step. Accessed on: 05/12/2014. http://www.nuffieldfoundation.org/q-step Payne, G. (2014). Surveys, Statisticians and Sociology: A History of (a Lack of) Quantitative Methods. ELiSS; 6(2): 74-89. Platt, J. (2014). Making them count: How effective has official encouragement of quantitative methods been in in British sociology. Current Sociology; 60(5): 690-704. Williams, M., Payne, G. and Hodgkinson, L. (2008) ‘Does Sociology Count? Student attitudes to the teaching of quantitative methods.’ Sociology; 42 (5): 1003-1022
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Rhys Jones Lecturer in Quantitative Methods FE JonesRC10@cardiff.ac.ukJonesRC10@cardiff.ac.uk; 029 2087 0106 Andy Dodge Placements Manager DodgeA@cardiff.ac.ukDodgeA@cardiff.ac.uk; 029 2087 0098
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