Decision Support Tool

This three-step guide will help you identify relevant drivers and design your experiment.

 

Designing Your Experiment

The Decision support tool is a self-help exercise that can be filled in on line or alternatively each of the iterative  loops can be downloaded as a Word document and filled in.

It is envisaged that the completed documents can be discussed with supervisors, within lab group meetings or with mentors. The documents can then be further amended, revised and the initial experimental designs refined in preparation for the next strand of the Best Practice Guide – MEDDLE – Multiple Environmental Driver Design Lab for Experiments.

The decision support tool is not designed to be used as a means to seek feedback from the SCOR WG149.  The WG members instead have provided a publication on approaches to experimental design, a handbook (both available to download on the front page of the www site), and a series of video tutorials.  Each of these features will help you fill out the sections of the Decision Support Tool.

Each step of the guide takes you through a different stage of the planning process: (1) defining the research question, (2) identifying responses, drivers and the design and (3) finalising the design.

This Guide can be completed using document templates Step 1Step 2Step 3 (word document templates) or a web form using the three buttons below. If you need time to develop your design please download the word documents, or if you are ready to fill out the questions now, use the web form. If you choose the web form, the decision support tool output will be sent you to by email.

  • Be as precise as possible.
  • What do you aim to achieve?
  • Don't worry about spam etc, we will never use your email for any other purposes.
  • What is the nature of the study?

  • What biological responses are most relevant?

  • Which driver/s are most relevant?

  • Don't worry about spam etc, we will never use your email for any other purposes.
  • Response variables/traits of interest

  • Explanatory variables/drivers of interest:

  • Experimental design and statistical analyses?

  • What resources do you need, and do you have access to all of them?

  • Don't worry about spam etc, we will never use your email for any other purposes.