Forfatter av avsnitt: Danielle J. Navarro and David R. Foxcroft

Deskriptivstatistikk separat for hver gruppe

It is very commonly the case that you find yourself needing to look at descriptive statistics broken down by some grouping variable . This is pretty easy to do in jamovi. For instance, let us say I want to look at the descriptive statistics for some clinical trial data, broken down separately by therapy type. This is a new data set, one that you have never seen before. The data is stored in the clinicaltrial data set and we will use it a lot in chapter Sammenligning av flere gjennomsnitt (enveis ANOVA) (you can find a complete description of the data at the start of that chapter). Let us load it and see what we have got (Fig. 18).

Fig. 18 Skjermbilde av jamovi som viser variablene som er lagret i datasettet clinicaltrial

Evidently there were three drugs: a placebo, something called anxifree and something called joyzepam, and there were six people administered each drug. There were nine people treated using cognitive behavioural therapy (CBT) and nine people who received no psychological treatment (no.therapy). And we can see from looking at the Descriptives of the mood.gain variable that most people did show a mood gain (mean = 0.88), though without knowing what the scale is here it is hard to say much more than that.

We can also go ahead and look at some other descriptive statistics, and this time separately for each type of therapy. In jamovi, check Std. deviation, Skewness and Kurtosis in the Statistics options. At the same time, transfer the therapy variable into the Split by box, and you should get something like Fig. 19.

Fig. 19 Skjermbilde av jamovi som viser Descriptives av variablene i datasettet clinicaltrial fordelt på terapitype

What if you have multiple grouping variables ? Suppose you want to look at the average mood gain separately for all possible combinations of drug and therapy. It is possible to do this by adding another variable, drug, into the Split by box. Easy peasy, though sometimes if you split too much there is not enough data in each breakdown combination to make meaningful calculations. In this case jamovi tells you this by stating something like NaN or Inf.[1]

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[1]

Sometimes jamovi will also present numbers in an unusual way. If a number is very small, or very large, then jamovi switches to an exponential form for numbers. For example 6.51e-4 is the same as saying that the decimal point is moved four places to the left, so the actual number is 0.000651. If there is a plus sign, i.e., 6.51e+4 then the decimal point is moved to the right, i.e., 65 100.00. Usually only very small or very large numbers are expressed in this way, for example 6.51e-16, which would be quite unwieldy to write out in the normal way.