Difference between revisions of "Randomization in Excel"
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===Disadvantages === | ===Disadvantages === | ||
Some of the disadvantages of using Excel to randomize are as follows: | |||
*Excel is more mysterious to beneficiaries than public randomization(For example - drawing names from a hat, etc) | |||
*Randomization in Excel is less replicable than randomization using Stata. | |||
*Since the randomization involves copying and pasting, it can be subject to human errors. | |||
*It is also less flexible to changes in randomization plan. | |||
==Steps to Randomization in Excel == | ==Steps to Randomization in Excel == |
Revision as of 16:30, 24 January 2017
Advantages and Disadvantages of Randomizing using Excel
Advantages
Here are some of the advantages of randomizing using Excel :
- Balance/stratification can be achieved during a randomization using Excel.
- Randomization using Excel is simple to implement and produces a record.
- Since Excel is widely used, it is commonly understood and used by project staff.
Disadvantages
Some of the disadvantages of using Excel to randomize are as follows:
- Excel is more mysterious to beneficiaries than public randomization(For example - drawing names from a hat, etc)
- Randomization in Excel is less replicable than randomization using Stata.
- Since the randomization involves copying and pasting, it can be subject to human errors.
- It is also less flexible to changes in randomization plan.
Steps to Randomization in Excel
Here are the steps of doing a successful randomization using Excel:
- The first thing that needs to be done is to define a randomization rule. For example = the lowest 50% will be treatment, the rest will be assigned to control, etc.
- Assign random numbers to each observation. While doing this, use "paste values" to stop recalculating the randomization.
=rand()
- Sort the random numbers from the lowest to the highest.
- Created an ordered serial number.
- Assign groups using either the
mod
or theif
formulas. - Save the record.