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This guidance provides an overview of what should be completed so far in your investigation for the Non-Examined Assessment. It covers the purpose of your investigation, methodologies used, data presentation techniques, and data analysis methods. It also includes instructions on how to effectively reference your work and provides helpful resources and websites.
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Non-Examined AssessmentData Presentation & Data Analysis Guidance
What should you have completed so far? • The purpose of your investigation – appropriate aims and hypotheses identified and research of relevant literature/information (all of which should be referenced – I will tell you how to do this shortly) • Methodologies – information about how you collected your data (for top marks, you need to explain your sampling strategy (see p312-313), frequency of observations, timing of observations… and identify whether they are quantitative and qualitative methodologies) • Data presentation (at least a start) – appropriate diagrams, graphs, maps etc. to clearly show what you found out when completing your investigation.
THIS INFORMATION IS ALSO IN THE BACK OF YOUR TEXTBOOKS – DO NOT NEGLECT THEM!!
Firstly, how to reference… • If the exam board deem your work to ‘not be your own’, you will lose marks • The best way to show you aren’t stealing ideas and information is to reference effectively • The recommended referencing technique from the exam board is Harvard referencing (beneficial for those wanting to go to University, too!) • Page 306 in your Y13 textbook identifies what the literature review should involve, and there is a box for guidance on Harvard referencing, however…
Firstly, how to reference… Journals or books • Name of author(s) • Year published • Title • Publisher • Pages used For example: Marshall, T., 2004. Regional planning in England: progress and pressures since 1997.Town Planning Review, pp. 447-473.
Firstly, how to reference… Websites Last name, first initial, (year published), page title. [online] Website name. Available at: URL [Accessed Day Month Year]. For example: Gibson, O. (22nd October 2005), BBC a step closer to Manchester move.[online] The Guardian. Available at: https://www.theguardian.com/media/2005/oct/22/broadcasting.bbc?IN CMP=SRCH [Accessed Saturday 14th October 2017]
Data Presentation – how to get your NEA to ‘stand out’ • To be able to present your data successfully, I would suggest you follow these steps to avoid a data associated meltdown: • Gather all your data together – prepare it so that it is easily accessible in the groups you want it to be in • Select and sort data and information – disregard anything not relevant • Put data in Excel spreadsheets or word documents so they can be easily copied and pasted to produce graphs
Useful Websites http://datavizproject.com/ https://schools.esriuk.com/teaching-resources/#/c=fieldwork-and-skills,a-level http://www.rgs.org/OurWork/Schools/Teaching+resources/Key+Stage+5+resources/Data+skills+and+thinking+geographically/A+guide+to+the+A+Level+Independent+Investigation We should have access to ArcGIS in 7-10 days (I will run an afterschool session on how to use it)
Data Presentation – how to get your NEA to ‘stand out’ – CARTOGGRAPHIC METHODS • Dot maps • Chloropleth maps • Proportional symbol maps • Flow maps
Data Presentation – how to get your NEA to ‘stand out’ – GRAPHICAL METHODS
Data Analysis • Producing graphs is all well and good, but you must be able to explain how these help answer your main and hypothesis questions • “It can be both interesting and rewarding as well as sometimes surprising and revealing” – true, but it also takes a lot of hard work and dedication from you • This carries 24 out of the 70 marks available – it is important you get this right
Data Analysis – success criteria • Description (supported by information, data and other evidence) – a bit like ‘describe’ in an exam question, you need to say what your data presentation shows. Statistics can be included here. • Explanation (providing likely geographical reasons linked to patterns and trends in the data – why do you think it shows what it shows?) • Finding, synthesising and suggesting geographical links in the data (you can link back to your literature review e.g. the Bradshaw Model suggests this and my data shows this.)
Data Analysis – success criteria • Description (supported by information, data and other evidence) – a bit like ‘describe’ in an exam question, you need to say what your data presentation shows. Statistics can be included here. • Explanation (providing likely geographical reasons linked to patterns and trends in the data – why do you think it shows what it shows?) • Finding, synthesising and suggesting geographical links in the data (you can link back to your literature review e.g. the Bradshaw Model suggests this and my data shows this.) YOU NEED TO FOLLOW THIS STEP BY STEP PROCESS FOR EVERY GRAPH/MAP YOU PRODUCE!
Data Analysis – STATISTICS! If it makes sense to include statistics, you need to make time for them! Page 322 has a table that explains which statistical technique can be used and when best to use it (and even Excel spreadsheet instructions so you don’t have to calculate each one!)
