Examples of using Variable cost in English and their translations into Bengali
{-}
-
Colloquial
-
Ecclesiastic
-
Computer
Understand the variable costs upfront.
The key to running large experiments is driving your variable cost to zero.
Create zero variable cost data(Section 4.6.1).
For more about using bots to create zero variable cost experiments see.
Create zero variable cost data(Section 4.6.1).
Bit By Bit- Running experiments-4.6.1 Create zero variable cost data.
This example also shows that zero variable cost data is not just about doing things cheaper.
The key to running large experiments is to drive your variable cost to zero.
These experiments don't really have zero variable cost, they have zero variable cost to researchers.
Fixed costs are the difference between total costs and total variable costs.
Further, the MusicLab experiments show that zero variable cost does not have to be an end in itself;
Total fixed cost is the main difference between total cost and total variable cost.
MusicLab was able to run at essentially zero variable cost because of the way that it was designed.
To be clear, the desire to reduce the size of your experiment does not mean thatyou should not run large, zero variable cost experiments.
Further, the MusicLab experiments show that zero variable cost does not have to be an end in itself;
However, when there is zero variable cost data, researchers don't face a cost constraint on the size of their experiment, and this has the potential to lead to unnecessarily large experiments.
Another approach to creating zero variable cost payment to participants is to use a lottery, an approach that has also been used in survey research(Halpern et al. 2011).
When the number of units produced increases, the average cost per unit reduces as the total cost willbe divided among a higher number of units(assuming the variable cost per unit remains constant).
These experiments don't really have zero variable cost- rather,they have zero variable cost to researchers.
In Chapter 4,we saw how you can create zero variable cost data by designing experiments that people actually want to be in, such as the music downloading experiment that I created with Peter Dodds and Duncan Watts(Salganik, Dodds, and Watts 2006).
Researchers who can design experiments with these features will be able to run new kinds of experiments that were not possible in the past. However,the ability to create zero variable cost experiments can raise new ethical questions, the topic that I shall now address.
With appropriate design, you can drive the variable cost of your experiment all the way to zero, and this can create exciting research opportunities.
Table 4.4: Examples of experiments with zero variable cost that compensated participants with a valuable service or an enjoyable experience.
Table 4.4: Examples of experiments with zero variable cost that compensated participants with a valuable service or an enjoyable experience.
In the past, this reduction happened naturally because the variable cost of analog experiments was high, which encouraged research to optimize their design and analysis.
Another approach to creating zero variable cost payment to participants is to use a lottery, an approach that has also been used in survey research(Halpern et al. 2011).
If you want to create experiments with zero variable cost data, you will need to ensure that everything is fully automated and that participants don't require any payment.
But in digital experiments, particularly those with zero variable cost, researchers don't face a cost constraint on the size of their experiment, and this has the potential to lead to unnecessarily large experiments.
If you want to run really large experiments,you should try to decrease your variable cost as much as possible and ideally all the way to 0. You can do this by automating the mechanics of your experiment(e.g., replacing human time with computer time) and designing experiments that people want to be in.