## jamovi 1.0 released!

### tl;dr

Today is a huge day for jamovi! version 1.0 is now available! This represents the culmination of thousands of hours of work since our first release in 2017, and one of the most rewarding projects we’ve ever worked on. We’re also acutely conscious of the fact that we could never have made it this far without the belief, the help, bug reports, and feature requests of the broader jamovi community. We really feel quite humbled by the level of support we have received.

To celebrate this significant milestone, We’d like to thank some of the more prominent jamovi contributors

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## jamovi: multi-file import and templates

### tl;dr

In many areas, multiple data sets need to be combined before data can be analysed. An example of this is experimental data in the field of psychology, where a data file is produced for each participant. This blog post (actually a video), introduces multi-file import available in the 0.9.6 series of jamovi.

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## Learning statistics with jamovi – a free introductory statistics textbook

### tl;dr

learning statistics with jamovi (lsj for short) is a basic, introductory statistics textbook that presents most of the topics typically seen in an introductory psychology course at undergraduate level. It is completely free to download, use, and adapt — released under a creative commons CC BY-SA 4.0 licence. Although it is geared towards psychology, the content and material is also relevant to other disciplines, for example health sciences and public health. Download lsj over here.

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## Transforming and recoding variables in jamovi

### tl;dr

Computed variables have been available in jamovi for a while now. Although great for a lot of operations (e.g., calculating sum scores, generating data, etc.), they can be a bit tedious to use when you want to recode or transform multiple variables (e.g., when reverse-scoring multiple responses in a survey data set). Today we’re introducing ‘Transformed variables’, allowing you to easily recode existing variables and apply transforms across many variables at once.

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