Introduction to Data Analysis and Report Writing

Be able to analyse data or sources to produce an academic report or extended essay.

Data collection: selection of appropriate tools for data collection; types e.g. qualitative, quantitative; systematic recording; methodological problems e.g. bias, variables and control of variables, validity and reliability.

Data analysis and interpretation: qualitative and quantitative data analysis.

Representative values, measures of dispersion, correlation, creation and interpretation of graphs using spreadsheets: line, pie, bar charts and histograms.

Assessment Criteria

• 1.1

  Write an analytical report or extended essay using language and style consistent with academic criteria.

• 1.2

  Draw conclusions from analysis of data or sources.

Be able to evaluate a research project.

Evaluation of outcomes: an overview of the success or failure of the research project planning, aims and objectives, evidence and findings, validity, reliability, benefits, difficulties, conclusion(s).

Future consideration: significance of research investigation; application of research

results; implications; limitations of the investigation; improvements; recommendations for the future, areas for future research.

Assessment Criteria

• 2.1

  Reflect on the research process undertaken.

• 2.2

  Evaluate the final project and its conclusions.

Understand how to reference work using a recognised reference system.

Students should be taught and use the most appropriate referencing system required for their particular subject matter (e.g. Harvard referencing).

Assessment Criteria

• 3.1

  Use a recognised referencing system to write a reference list/bibliography and reference the text.