Oxford University Press
GCSE 9-1 Geography AQA: Fieldwork eBook
Bob Digby, David Holmes
GCSE 9-1 Geography AQA: Fieldwork eBook
US$ 8.83
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Description
Contents
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GCSE 9-1 Geography Fieldwork is the go-to fieldwork revision and exam practice resource for the 2016 AQA GCSE Geography (9-1) specification - written to target the demands of revising for linear fieldwork exams for the first time. Each fieldwork enquiry strand is presented in accessible, clear and thorough four-page sections, with opportunities for students to apply their personal fieldwork investigations to revision activities, just as they will in Paper 3. Students can also prepare for Paper 3 by answering shorter- and longer-answer exam-style questions - both in familiar and unfamiliar contexts.
Guided answers and mark schemes to be provided as free-to-access on the Secondary Geography website.

Language
English
ISBN
9780198426639
Front Cover
Title Page
Contents
Fieldwork and AQA GCSE Geography
Geographical Enquiry Strand 1
1 Devising questions for geographical enquiry
Using a concept, process, or theory inyour enquiry
Using primary and secondary data for your enquiry
Identifying and reducing potential fieldwork risks
Exam-style questions
Geographical Enquiry Strand 2
The differences between primary and secondary data
Choosing suitable physical and human data
Using different sampling methods
Exam-style questions
3 Geographical Enquiry Strand
Knowing a range of methods for presenting your data
Selecting the most appropriate methods of presentation
Describing, explaining and adapting your presentation methods
Exam-style questions
4 Geographical Enquiry Strand
Describing, analysing and explaining your results
Making links between different sets of data
Using statistical techniques to understand the data
Spotting anomalies infieldwork data
Exam-style questions
5 Geographical Enquiry Strand
Drawing an evidenced conclusion for your enquiry question (or hypothesis)
Exam-style questions
6 Geographical Enquiry Strand
Identifying problems with data collection
Spotting limitations in the data
Thinking of ideas for other data that might be useful
Judging how far your conclusions were reliable
Exam-style questions
Back Cover
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