Analysis and Presentation Flashcards

1️⃣ Familiarise yourself with the flashcards:

  • Look through all the flashcards to see what’s on both sides.
  • Make sure you understand the information on each card. If something’s unclear, click the link to the revision notes at the bottom of the page for more details.

2️⃣ Test yourself:

  • Look at the question or prompt on each card and try to remember the answer before flipping it over.
  • Check the answer and make a note of any cards you find challenging and need to go over more.

3️⃣ Consistently Review and Practice:

  • Use spaced repetition: spend more time on the cards you struggle with and go over them more often.
  • Regularly review all the flashcards to help you better understand and retain the information over time.

Note: We may include questions that have multiple correct answers. It’s useful to remember specific examples to understand these concepts better.

What is the purpose of analysis in fieldwork?

Analysis helps make sense of data by identifying patterns, changes, trends, connections and meanings. This helps us answer the research enquiry or hypothesis.

What should you do to ensure a thorough analysis of data?

Describe the data shown in the chosen presentation method, identify the highest and lowest results, look for patterns or trends, and examine relationships or correlations between data points.

What is qualitative analysis and how is it conducted?

Qualitative analysis involves examining photographs or sketches and annotating them to explain what is happening and what the data indicates.

Detailed annotations add depth and meaning to the visual data.

Give examples of qualitative data types.

Interview transcripts, field notes, photographs and videos and field sketches.

What is quantitative analysis used for, and what are its key components?

Quantitative analysis deals with figures, statistics and numerical data.

Key components include range, mean, median, mode and identifying anomalies.

What are the different ways to present data in fieldwork?

Data can be presented using graphs, charts, photographs, maps, drawings/sketches and diagrams. The method depends on the nature of the data collected.

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