Chapter 33 Empty Chapter Template

33.1 Intro

Enter a brief introduction here

33.1.1 Example dataset

Here, explain which dataset people should open to copy the examples. For example:

This example uses the Rosetta Stats example dataset “pp15” (see Chapter 1 for information about the datasets and Chapter 3 for an explanation of how to load datasets).

33.1.2 Variable(s)

Here, explain which variable(s) people should open to copy the examples. For example:

From this dataset, this example uses variable highDose_IntentionRAA_intention.

33.2 Input: jamovi

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Figure 33.1: A screenshot placeholder

33.3 Input: R

In R, there are roughly three approaches. Many analyses can be done with base R without installing additional packages. The rosetta package accompanies this book and aims to provide output similar to jamovi and SPSS with simple commands. Finally, the tidyverse is a popular collection of packages that try to work together consistently but implement a different underlying logic than base R (and so, the rosetta package).

33.3.1 R: base R

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33.3.2 R: rosetta

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33.3.3 R: tidyverse

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33.4 Input: SPSS

For SPSS, there are two approaches: using the Graphical User Interface (GUI) or specify an analysis script, which in SPSS are called “syntax.”

33.4.1 SPSS: GUI

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33.4.2 SPSS: Syntax

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33.5 Output: jamovi

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33.6 Output: R

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33.7 Output: SPSS

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33.8 Read more

Here, you can list one or more sources with background reading, for example:

If you would like more background on this topic, you can read more in these sources:

References

Navarro, Danielle. 2018. Learning Statistics with R. 0.6 ed. New South Wales, Australia. https://learningstatisticswithr.com/.