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HKU Workshop Dec 6, 2018: JAMOVI and JASP as powerful open-source open-science alternatives to doing stats

Dear colleagues and friends,


Hope you had a good semester.

First off, since I've already sent off quite a few email updates about HKU activities to a growing list of people, I figured it's time to start using an email mailing list, so that those of you who do not wish to get any more updates from me can unsubscribe. 

This email update is to let you know about a workshop we're doing at HKU about "JAMOVI and JASP as powerful open-source open-science alternatives to doing stats":
 

Event Details

In this 3 hours workshop I will introduce two powerful open-source tools JAMOVI and JASP to conduct high-quality open-science statistics. These two tools have in recent years become very powerful and robust, on par and exceeding other traditional tools like SPSS and SAS, with important advantages. The tools offer dialog boxes click and choose interfaces, very similar to that of stats software such as SPSS, yet driven with the stats engine power of open-source R, resulting in reproducible APA friendly outputs supporting recent trends in psychological science (e.g., new statistics, effect-sizes, confidence intervals, and comprehensive graphing/plotting). The supporting academic community has also produced many high quality manuals, books, video courses, and extensions. At the University of Hong Kong psychology department we used these tools in three undergraduate courses (PSYC2020, PSYC3052, and PSYC2071) and have concluded the experiment as very successful. We gained valuable insights about the process of adaptation, and have developed helpful instructional materials and tools.

The workshop will be hands-on. I will guide you through the basics of both tools, beginning from importing, editing, computing variables, through common stats (descriptives, plots, correlations, regressions, chi-square, t-tests, ANOVAs, factor-analysis), and finally briefly touching on advanced statistics and extensions (moderation/mediation, meta-analysis, SEM, Bayesian, equivalence-testing, R snippets). We will conduct these together on dataset examples.

Please do bring your laptops, and to save time please do the following before the workshop:
Download and install JAMOVI: https://www.jamovi.org/download.html 
Download and install JASP: https://jasp-stats.org/download/  


Date/Time    06/12/2018 09:00-12:00
Venue    Room No. CBA (Chow Yei Ching Building)
Language    English

Registration is open from 21/11/2018 16:00(HKT) to 30/11/2018 17:00(HKT) on a first-come-first-served basis. The registration quota for this event is 124.
Should you have any enquiries, please feel free to contact penny Kuk by email at pkuk@hku.hk or by phone at 39172376 or by fax at 28583518.


 

To register: https://hkuems1.hku.hk/hkuems/ec_regform.aspx?guest=Y&ueid=61115 

Feel free to pass this along to others in your labs and departments.

Best regards,
 
--
Gilad Feldman (Fili)
Department of Psychology
University of Hong Kong
 
Website | Researchgate | Google Scholar | Twitter
 

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Gilad Feldman (HKU) · 6/22, Department of Psychology, University of Hong Kong · Pok Fu Lam road, HK island · Hong Kong · Hong Kong

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