ib_geog_-_sl_hl_internal_assessment_mark_scheme.pdf | |
File Size: | 41 kb |
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A focused and precisely-located research question:
The study is specific to one river - Limuhe (Chestnut) River, Yangshuo, PRC. Locational mapping (and the established conventions): You should include one regional scale map, to locate Yangshuo and the course of the river within China. The second map should be local scale, and clearly identify the sites of data collection. No smaller than 1/2 side. Both maps should be complete with Border, Orientation, Legend, Title, Scale. At least one should be hand-drawn (see below) and both maps should be fit-for-purpose, without any irrelevant details.
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Describing and Explaining Data Collection Techniques: You need to paint a vivid picture here of exactly how you went about collecting your various sets of data. Write your description in a way that would enable the reader to copy your steps precisely. This would also be a good opportunity to outline your sampling strategy. For each data collection technique, you need to explain why you chose that technique, and why you carried it out in exactly that way.
Data Collected is Relevant to the Theory, Hypotheses and Research Question: This may appear in your explanation of your method techniques. You should relate each data collection technique to a particular hypothesis. You should not include any methods if they are not directly related to your study. All data collection should actively play a part in your ability to answer the research question; if it doesn't, leave it out. Statistical Tests: These will be used as part of your analysis, using proven statistical methods to identify relationships between sets of data beyond simple visual correlations. You may want to outline which statistical methods you intend to use, and how you will calculate the data accordingly. Correct Techniques: It is imperative that you perform your data collection properly. Preparation for your fieldwork should include making yourself familiar with the equipment you will use, and think carefully how to maintain accurate and reliable methods throughout your study. A clear method description will help to convey your accurate approach. Reliable and Good Quality Data: To ensure that your data is reliable, perform repeat tests and measurements. Be clinical to avoid any gaps in your data. Results should be recorded clearly and be stored somewhere safe. One option is to use the data collection whiteboards, then photograph this at each site. No soggy fieldwork booklets!! |
Data Presentation Techniques | |
File Size: | 1116 kb |
File Type: | pptx |