Up and down in Rapfish. There are many articles that explain sustainability values, namely those that explain the range between good and bad, in Rapfish, both journal articles and popular articles. But there are still very few that explain what the meaning of the Up and Down range values on Rapfish are. I dare say there are still few, and there tend to be none, that explain it because I searched for various sources before writing this article.
Even in some literature, it only displays the range in the form of two dimensions, namely good on the right side and bad on the left end. Because I was very curious, I made an experiment on the rapfish. I don’t know if the results are acceptable or not, but for me, they are quite satisfying and answer the question, “What does the Up and Down range mean in Rapfish?”
Experiment 1: Normal Stages
The experiment was conducted using Rapfish add-ins in Excel, the stages of which have been thoroughly discussed in this blog. The number of attributes used was 4, with 11 fisheries.
And the leverage is as follows:
Experiment 2: Up and Down
Furthermore, the order of attributes in Rapfish was swapped this time. In the first experiment, the attribute begins with variable P3-01. In the second experiment, this P3-01 variable is placed at the back in order to swap positions. The final position is as follows:
The rapfish and leverage results are as follows:
Discussion Up and Down in Rapfish
The sustainability index, or rapfish value, in both experiments (baseline and endline) did not change. This means that this experiment did not affect the rapfish or multidimensional scaling index values.
It appears that the results released in the Rapfish analysis are reversed. In the initial experiment, many points were below the 0 line (down region), while in the later experiment, many points were above the 0 line (up region). It is as if line 0 is the projection line of the two experiments.
The same is true for the leverage position. It appears that the leverage graph ranks the first variable from the bottom. So in experiment 1, the P3-01 variable is located at the bottom, while in the second experiment, the variable is at the top.
This turns out to be understandable when looking at the anchor fisheries that have been set. Good on anchor is assigned a value of good for all attributes, while bad is assigned a value of bad (I didn’t say maximum or minimum value because it depends on the assumption of whether the maximum value is good or bad; see previous article).
UP on Rapfish is usually given a good value on the first half of the attribute and a bad value on the next half of the attribute. On the other hand, the first half of the attribute is bad, and the next half is good. Take a look at the image below:
First, the up and down positions are the current positions of the fisheries. If it is in the UP position, it means that the fisheries has a high value in the first half of the attributes. Conversely, if the fisheries is in the Down position, it means that the fisheries has a high value in the latter half of the attributes.
in the latter half of the attribute. Evidence: the rapfish graph is inverted when the attribute positions are swapped.
Secondly, when matched with the leverage chart, the UP region is the lower half of the leverage chart, and the down region is the upper half of the leverage chart. To make it easier, take a look at the picture below:
This will also make it easier for researchers to find out the status of each fishery’s leverage variable. For example, in this case, the fisheries in the down region are 1 and 2 (rapfish graph experiment 2). This means that fisheries 1 and 2 have high values in P3-01 and P3-02 (down areas in the figure).
Third, the position of fisheries in rapfish can be adjusted to the leverage graph; if the leverage graph states that the leverage variable is in the middle, then fisheries that are close to 0 are fisheries that have a high value on the leverage variable (I mean, the leverage variable here is the highest leverage variable, so that it can be better understood).
If the leverage variable is below the leverage variable,
then the fisheries that are in the up area have a high value for the leverage variable. that variable. What does this mean? Those fisheries are more likely to increase their index compared to other fisheries.
Fourth, the 0 value line on up and down in rapfish analysis can mean two things, namely having the highest value for all attributes or having the lowest value for all attributes. I tried it by manipulating two fisheries, where Fisheries No. 3 has the lowest value in all attributes and Fisheries No. 1 has the highest value in all attributes. The result is the following image:
What distinguishes the two is the value of the rapport index, where fisheries 1 is extreme on the far right (good) and fisheries 3 is extreme on the far left (bad). However, since both of them are on the 0 line in Up and Down, the condition of the leverage graph does not change; that is, the leverage variable is in the middle.
The conclusion is that it turns out that the order of attributes or variables affects the position of rapfish. Be wise when placing a variable order. We recommend that variables that are suspected of having a high influence be placed in the center of the other attributes.
Or if you encounter variables with leverage at the top and bottom (far away from the center),can shift the position of the attribute or variable in question in the middle of the center. This makes it easier for us to discuss which fisheries have the potential to increase the leverage index, which is close to 0 and in the good region.
Another explanation is that fisheries that are in the down region (below the 0 line of the rapfish graph) mean that they have high values on the attributes at the top of the leverage graph, and vice versa. So the researcher’s discussion will be broader because it talks about forecasting qualitatively.