The study on the recent shift in consumer behaviour in online retailing during Coronavirus Pandemic in the UK retail sector.

Description

Please start off by reading the Dissertation Module guide and Dissertation Assessment Brief and have a look at my Dissertation proposal (which I submitted), that includes my signed ethics form.

The module guide and brief, lectures provided, examples of dissertations provided by my university; and additional materials – all provide a structure for the dissertation – including layout and font. (+ Look at the Example Dissertation Gender Inequality – at the structure -grade 79%). Do not include any materials/ slides from lectures or pdfs, as that is for writers’ guidance ONLY. Use whatever is relevant but have a look at all files please.

Look at Harvard Referencing short guide pdf for in text referencing and bibliography- must be done correctly to avoid plagiarism.

The word count for the dissertation is 8000 words, +_ 10%, ( from chapter 1 – 6 ,included in the module guidelines); so max 8800 words.

Include abstract and everything else needed. For chapter 1 (introduction) I have included a draft, amend if need be, but aim, objectives, research question – should be the same. (ROUGHLY 800 words).

I have also attached chapter 2 (Literature draft), which was an order written by another writer for this disso (through UKwritings). Amend if needs to be amended, if it does not flow with the research paper). Also, there is conceptual framework mentioned under theoretical framework, is this incorrect in accordance with results/ should be in the methodology chapter?(Roughly should be 2000 words).

If you can amend the chapters, add the references for all chapters inclusively into bibliography, at the end, in chronological order.

I need chapter 3 (methodology),chapter 4 (Results and analysis);chapter 5 (discussions);chapter 6 (Conclusion) done (along with whatever needs to be added to the dissertation) (roughly 5000 words- if you can work out the word count for each chapter with guides and examples provided).

For chapter 3 – Use ‘Saunder’s research onion’ for Methodology. I have collected some primary data but also need to collect some secondary data to triangulate the results (in accordance with the research). For primary data, I have collected and sent over the data reports (two pdfs, two excel files–under ‘report’ and ‘dashboards’–both same raw data and results in all files but different version of Qualtrics) from a online closed questionnaire survey I created (attached a Word file of questionnaire),using the software ‘Qualtrics’. I had received 347 responses (but not all valid) and distributed it via an anonymous link I sent to friends and family & posted on a Facebook dissertation survey exchange group for 2 weeks; names and all data is confidential and anonymous in report, however, you can see the names of the individuals on the excel files along with the region and income etc (as those are factors I need to also analyse in my dissertation). Don’t just input raw data exports for primary data– needs to be statistically analysed using Excel/SPSS (quantitative?) for results.

In terms of the secondary data, I haven’t looked and dont know what data set to analyse (statistically analyse) (Pls check Lit Review and maybe consider UK real wages/ UK inflation/UK GDP to also analyse and correlate and/or compare with the primary data/ or whatever fits best with research) – need to correlate both secondary and primary data results at the end. However, would the data methods be mixed methods?

Also, if you can send SPSS/EXCEL data in additional separate files, so I have a copy in case my supervisor asks. For quantitative analysis please look at additional pdfs for statistical testing/ chi square if needed – I’m not sure how you want to analyse- whether an econometric model with secondary data or another method but statistical.

For chapter 3, can I please get a rough final draft within 3 days: and chapter 4 roughly in 5 days. And the rest, at the end of the deadline (in 7 days). Also, Dissertation is strictly UK- based and needs UK data.

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