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Collecting your data and things to include in your methodology

Collecting your data and things to include in your methodology. Planning and Collecting your data . There are several different approaches to collecting your data: A case study : studying the language from a single source (a single speaker, organisation or publication)

Samuel
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Collecting your data and things to include in your methodology

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  1. Collecting your data and things to include in your methodology

  2. Planning and Collecting your data • There are several different approaches to collecting your data: • A case study: studying the language from a single source (a single speaker, organisation or publication) • A longitudinal study: studying the language from a particular source over a set period of time • A contrastive/ comparative study: studying the language used in directly comparable contexts • Sampling – taking a sample from a much larger potential data source

  3. Your data must be: • Pure – you shouldn’t edit, censor or distort your data. Transcripts must be as accurate as possible. • Representative – small but fair sample • Comparable – compare like with like. Data must be created in similar circumstances, or data is concerned with a similar subject • Legal and ethical – seek permission, confidentiality (names?). Only share data with your tutor.

  4. Things to think about…. • Demand Characteristics – subjects will perform in the way they think is ‘demanded’ of them. • Observer’s paradox – will the presence of the researcher influence the way people talk?

  5. Research ethics Consent • who can give consent • freedom to choose • confidentiality

  6. Analysing the data • practical issue: multiple copies • complexity of the process • TIME

  7. Presenting the project report • the report format • appropriate academic habits of mind • attentive focus on relevant language frameworks

  8. What it takes to get a top grade… sureness, judgement and flexibility in use of content, structure and style for audience a good, perceptive and detailed linguistic knowledge of chosen data insightful, clear and succinct exploration/ understanding of concepts of language in use in relation to task sound and systematic application and exploration of relevant frameworks comments with pertinence and insight on the effectiveness of the approaches taken perceptive and accurate analysis of a range of relevant formal and contextual factors in data

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