Section author: Danielle J. Navarro and David R. Foxcroft

# Changing data from one level to another¶

Sometimes you want to change the variable level. This can happen for all sorts of reasons. Sometimes when you import data from files, it can come to you in the wrong format. Numbers sometimes get imported as nominal , text values. Dates may get imported as text. Participant-ID values can sometimes be read as continuous : nominal values can sometimes be read as ordinal or even continuous . There’s a good chance that sometimes you’ll want to convert a variable from one measurement level into another one. Or, to use the correct term, you want to coerce the variable from one class into another.

In The spreadsheet we saw how to specify different variable levels, and if you want to change a variable’s measurement level then you can do this in the jamovi data view for that variable. Just click the check box for the type level you want - continuous , ordinal , or nominal .

# Installing add-on modules into jamovi¶

A really great feature of jamovi is the ability to install add-on modules from the jamovi library. These add-on modules have been developed by the jamovi community, i.e., jamovi users and developers who have created special software add-ons that do other, usually more advanced, analyses that go beyond the capabilities of the base jamovi program.

To install add-on modules, just click on the large + in the top right of the jamovi window, select jamovi library and then browse through the various add-on modules that are available. Choose the one(s) you want, and then install them (as shown in Fig. 6).

It’s that easy. The newly installed modules can then be accessed from the Analyses tab. Try it… useful add-on modules to install include scatr (added under Descriptives) and Rj.

# Quitting jamovi¶

There’s one last thing I should cover in this chapter: how to quit jamovi. It’s not hard, just close the program the same way you would any other program. However, what you might want to do before you quit is save your work! There are two parts to this: saving any changes to the data set, and saving the analyses that you ran.

It is good practice to save any changes to the data set as a new data set. That way you can always go back to the original data. To save any changes in jamovi, select ExportData from the main jamovi menu (☰; top left hand corner) and create a new file name for the changed data set.

Alternatively, you can save both the changed data and any analyses you have undertaken by saving as a jamovi file. To do this, from the main jamovi menu select Save as and type in a file name for this jamovi file (.omv). Remember to save the file in a location where you can find it again later. I usually create a new folder for specific data sets and analyses.