Step 2 (Table/Graph). I know this sounds weird because you haven't even collected data yet, but before you do collect any data, it is best to know what you are going to do with it once you collect it. Once you have the table/graph, the rest falls in place (ie., confirm your research question will be answered by the data in your table/graph, write the methods that will get you those data, etc.). Notice how I call it Table 1 and include a complete caption that contains what the data are (including sample size), the location, the date (include time if important), and information about the statistics (because my table has the last column of statistical results). Also, make sure the independent variables are used as column headings and the dependent variable(s) are used as row headings.
Example:
Table 1. Tree, shrub, and succulent density (per 2500 m2) on the north- versus south-facing slope of Tumamoc Hill in Tucson, AZ as observed February 21 and 22, 2009. Significance (p<0.05) determined by chi square analysis.
|
North-facing Slope |
South-facing Slope |
Significant? |
Tree Density |
|
|
|
| Shrub Density |
|
|
|
| Succulent Density |
|
|
|
| Total Plant Density |
|
|
|
.