Section B: Fieldwork common mistakes

Common mistakes

• Data Selection Mistake

  Students often select data that is not relevant to their geographical enquiry, leading to weak conclusions.

  Fix itEnsure that the data chosen directly relates to the aims of the enquiry and supports the analysis.

• Confusing Sampling Methods

  Students often confuse different sampling methods, such as random sampling and systematic sampling, leading to incorrect data collection.

  Fix itReview the definitions and applications of each sampling method, and practice identifying which method is appropriate for different fieldwork scenarios.

• Justifying Data Collection Methods

  Students often fail to provide a clear rationale for their chosen data collection methods, simply stating what they did without explaining why those methods were appropriate.

  Fix itTo improve, students should explicitly link their chosen methods to the aims of their enquiry, explaining how each method will help to gather relevant and reliable data.

• Misunderstanding Presentation Methods

  Students often confuse visual, graphical, and cartographic presentation methods, using them interchangeably without understanding their specific applications.

  Fix itTo fix this, students should study the definitions and examples of each method, ensuring they can identify when to use visual aids (like images), graphical representations (like charts and graphs), and cartographic methods (like maps) appropriately.

• Misunderstanding the purpose of adapting presentation methods

  Students think adapting fieldwork presentation methods only means changing the colour scheme of a map or chart, rather than adjusting the format, scale, or type of visualisation to suit the audience and data type.

  Fix itExplain that adapting presentation methods involves selecting the most appropriate visual, graphical or cartographic technique (e.g., bar chart, scatter plot, thematic map) and modifying its design (scale, legend, colour, labels) so that the data are clearly understood by the intended audience and the key messages of the enquiry are effectively communicated.

• Misunderstanding Data Analysis

  Students often describe fieldwork results without properly analysing the data, leading to vague conclusions.

  Fix itTo fix this, students should focus on interpreting the data by identifying trends, patterns, and anomalies, and then linking these observations back to their geographical enquiries.

• Linking Data Sets

  Students often fail to clearly establish how different data sets relate to each other in their fieldwork.

  Fix itTo fix this, explicitly explain the connections between data sets, using examples from your fieldwork to illustrate how they support or contradict each other.

• Statistical Technique Misapplication

  Students often apply inappropriate statistical techniques that do not suit the type of data collected during fieldwork.

  Fix itTo fix this, students should review the nature of their data (e.g., qualitative vs quantitative) and select statistical methods that are appropriate for that data type.

• Misidentifying Anomalies

  Students often confuse anomalies with normal variations in data, failing to identify true outliers.

  Fix itTo fix this, students should establish a clear criterion for what constitutes an anomaly, such as values that fall outside a specified range or standard deviation from the mean.

• Misinterpreting Evidence

  Students often draw conclusions that are not directly supported by the data collected during their fieldwork.

  Fix itTo fix this, students should ensure that their conclusions are explicitly linked to the evidence gathered, referencing specific data points to support their claims.