http://spssx-discussion.165.s1.nabble.com/SPSS-vs-R-tp5736226p5736236.html
and jamovi look and feel very similar. I’d recommend downloading and
installing both these excellent free software packages. Where JASP aims to
audience’. This means that if I develop statistical analyses, such as
wants to use these tests. I think that’s really cool, and I’m super excited
> Here's another one to check out, Brian:
>
>
https://www.jamovi.org/>
> I just found it now via Google, so don't know anything about it. But as
> the
> web-page says, it is "built on top of the R statistical language, giving
> you
> access to the best the statistics community has to offer." And
> apparently,
> it can generate the R code too.
>
>
>
>
> bdates wrote
>> Thanks, Bruce!. I'll look at it.
>>
>>
>> Brian
>> ________________________________
>> From: SPSSX(r) Discussion <
>
>> SPSSX-L@.UGA
>
>> > on behalf of Bruce Weaver <
>
>> bruce.weaver@
>
>> >
>> Sent: Thursday, June 14, 2018 4:08:25 PM
>> To:
>
>> SPSSX-L@.UGA
>
>> Subject: Re: SPSS vs R
>>
>> As some of you will know, there have been many articles and commentaries
>> over
>> the years decrying the use of Excel for serious statistical analysis.
>> Here
>> is a presentation that summarizes many of the issues.
>>
>>
>>
http://biostat.mc.vanderbilt.edu/wiki/pub/Main/TheresaScott/StatsInExcel.TAScott.slides.pdf>>
>> For an introductory class where one wants to keep things relatively
>> simple
>> (and cheap), I would suggest using something like JASP instead.
>>
>>
https://jasp-stats.org/current-functionality/>>
>> HTH.
>>
>>
>> bdates wrote
>>> I'll weigh in briefly. I teach a grad course in research methods and
>>> stats
>>> in which I've used SPSS as a mandate of the program. Recently, the
>>> program, recognizing that the likelihood of any of the students actually
>>> doing research in the future was close to nil, has moved to the use of
>>> Excel. That's good to the extent to which student's have more
>>> familiarity
>>> with Excel and zero with SPSS; so they've not just been forced to learn
>>> statistics and research methods, but a completely foreign software.
>>>
>>>
>>> With that said, in preparation to move from using SPSS for assignments,
>>> I'm exporting the datasets from SPSS to Excel and finding that the
>>> structure of data in SPSS is not conducive to analysis in Excel.
>>> Furthermore, Excel's structure seems clumsy. For example, to do an
>>> independent samples t-test in Excel, entering the data ranges requires
>>> that either two columns/variables be created - one for each group; or if
>>> there is a group variable (e.g., treatment and control), the ranges
>>> require that users copy first those values for one group into a range,
>>> and
>>> then for the other group into the second range. The likelihood for error
>>> with all the copying and pasting is increased quite a bit.
>>>
>>>
>>> Then there's the problem of completeness of analysis. The methods used
>>> in
>>> either the basic correlational analysis or the Analysis Tool Pack gives
>>> only the correlation, totally devoid of significance, intercept,
>>> standard
>>> error, or confidence interval limits.
>>>
>>>
>>> I'll use Excel because it represents a move the program has now
>>> mandated,
>>> but with all the difficulty inherent in the lack of familiarity with
>>> SPSS,
>>> it probably is more intuitive tool for analysis in the long run.
>>>
>>>
>>> Brian Dates
>>> ________________________________
>>> From: SPSSX(r) Discussion <
>>
>>> SPSSX-L@.UGA
>>
>>> > on behalf of Reka Solymosi <
>>
>>> reka.solymosi@.AC
>>
>>> >
>>> Sent: Tuesday, June 12, 2018 5:59:39 AM
>>> To:
>>
>>> SPSSX-L@.UGA
>>
>>> Subject: Re: SPSS vs R
>>>
>>>
>>> Dear John,
>>>
>>>
>>>
>>> Thank you for all the detailed comments. While I never taught in SPSS
>>> (so
>>> I cannot comment on that experience like Juanjo) I did receive all my
>>> training in SPSS. It works in a university setting great, but once I
>>> left
>>> academia, it was not very useful for me. Licences for SPSS are
>>> expensive,
>>> and are *per PC* from what I remember. I worked at a local council as a
>>> transport planning analyst, and then later as a crime analyst in London.
>>> Neither were in well-funded places. I had access to Excel, and MapInfo.
>>> I
>>> self-taught R and it was great not only because of it being free and
>>> because of all the support and community around the open source ethos of
>>> it, but because of the flexibility. There are an ever growing number of
>>> packages available for R for free, which means that it can be used yes
>>> for
>>> graphics, but also for statistical modelling, for network analysis, for
>>> text analysis, for data mining, as a GIS, to build interactive
>>> dashboards,
>>> to build presentations, and mostly for reproducible data manipulation
>>> and
>>> analysis. I have yet to find any other tool (other than maybe writing
>>> SQL
>>> and more recently Python) that allows such a range in data querying,
>>> manipulation and cleaning.
>>>
>>>
>>>
>>> That said, bringing it back to teaching in academia, I agree completely
>>> with your suggestion that students need an introduction before throwing
>>> them into R. I teach the first semester course (the one that students
>>> take before moving on to the R based one) in Excel. I chose Excel over
>>> SPSS simply due to the fact that no matter where they will go, there
>>> will
>>> be Excel, even in the poorest local council. It gives enough of an
>>> introduction to data analysis that they can then move on to R. So in
>>> that
>>> sense we are following the suggestion you make, that they start with an
>>> easier route to contingency tables via excel, and then move on to R.
>>> Excel
>>> can actually be a very powerful tool for data analysis if used right,
>>> and
>>> also an accessible route in to interpreting, understanding, and
>>> examining
>>> data.
>>>
>>>
>>>
>>> To be honest I think any way we can get students interested in data
>>> analysis is good. I don’t hugely care if it’s SPSS, Excel, R, STATA,
>>> etc,
>>> I think the most important is the core concept and getting students
>>> interested in data analysis. I think we manage to achieve that here, we
>>> even have a few of our graduating students this year applying for a
>>> masters in data science, which coming from a criminology programme I
>>> think
>>> is somewhat unusual! But I also appreciate that we are standing on the
>>> shoulders of giants in a way. I for one have made so much use of the
>>> work
>>> and support from those like yourself with numerous years of experience
>>> in
>>> teaching and researching the best ways for teaching quantitative
>>> methods.
>>> I think there is a lot of very valuable material there, and I think that
>>> it can be applied to any platform. I used many materials and resources
>>> that showed examples in SPSS, and translated those to Excel or R.
>>>
>>>
>>>
>>> Ideally some resource for sharing platform agnostic resources could
>>> actually be compiled and perhaps shared around? My material on using
>>> Excel
>>> is all available here:
https://maczokni.github.io/MSCD/ I know that last
>>> summer I sent around quite a few requests for help to the quantitative
>>> methods teaching list, and I would be happy if I could pay back somehow.
>>> Maybe some central open-source repository of training material that can
>>> be
>>> applied by any one to any platform they choose to use, but that is based
>>> on all the work everyone is doing, to bring us all together?
>>>
>>>
>>>
>>> Let me know any thoughts!
>>>
>>>
>>>
>>> Many thanks,
>>> Reka
>>>
>>>
>>>
>>> From: John F Hall [mailto:
>>
>>> johnfhall@
>>
>>> ]
>>> Sent: 12 June 2018 10:24
>>> To:
>>
>>> SPSSX-L@.UGA
>>
>>> Cc: Juan Medina-Ariza; Reka Solymosi
>>> Subject: SPSS vs R
>>>
>>>
>>>
>>> As part of the ESRC-Nuffield Q-step initiative
>>> (
http://www.nuffieldfoundation.org/q-step) to improve quantitative
>>> methods
>>> teaching in undergraduate social science degrees in the UK, a new
>>> one-semester quantitative criminology course is being taught to
>>> undergraduates at Manchester using R, mainly because of its graphic
>>> capabilities.
>>>
>>> See
http://jjmedinaariza.github.io/R-for-Criminologists/ for full course
>>> notes.
>>>
>>>
>>>
>>> In the accompanying pedagogical rationale Professor Juanjo Medina
>>> explains
>>> why (although he admits that R has problems with crosstabs at which SPSS
>>> is excellent.)
>>>
>>>
>>>
>>> It is simple. I was sick to the bone of teaching with SPSS. Why should I
>>> bother to be a publicist for IBM? . . .But I never quite fell in love
>>> with
>>> SPSS, its ugly graphic system, its patched up inconsistent menu design,
>>> etc. Its whole architecture, easy in the eye for casual users, seem
>>> designed to encourage bad habits among future analysts. In the meantime
>>> I
>>> continue using a variety of tools for my own research (STATA, MPlus,
>>> etc)
>>> until I met R and fell in love with it.
>>>
>>> See
>>>
https://rawgit.com/jjmedinaariza/LAWS70821/master/rcommander.html#motivation>>>
>>>
>>>
>>> As someone who had to teach and assess Data Management and Analysis (at
>>> both undergraduate and postgraduate level) within a tight 13-week
>>> semester
>>> I still feel that SPSS is an easier, and better, route to Quantitative
>>> Methods (via contingency tables rather than multivariate statistics)
>>> perhaps leading to R at a later stage.
>>>
>>>
>>>
>>> John F Hall MA (Cantab) Dip Ed (Dunelm)
>>>
>>> [Retired academic survey researcher]
>>>
>>>
>>>
>>> Email:
>>
>>> johnfhall@
>>
>>> <mailto:
>>
>>> johnfhall@
>>
>>> >
>>>
>>> Website: Journeys in Survey
>>> Research<
http://surveyresearch.weebly.com/>>>>
>>> Course: Survey Analysis Workshop
>>> (SPSS)<
http://surveyresearch.weebly.com/1-survey-analysis-workshop-spss.html>>>>
>>> Research: Subjective Social Indicators (Quality of
>>> Life)<
http://surveyresearch.weebly.com/3-subjective-social-indicators-quality-of-life.html>>>>
>>>
>>>
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>>
>>
>>
>> -----
>> --
>> Bruce Weaver
>
>> bweaver@
>
>>
http://sites.google.com/a/lakeheadu.ca/bweaver/>>
>> "When all else fails, RTFM."
>>
>> NOTE: My Hotmail account is not monitored regularly.
>> To send me an e-mail, please use the address shown above.
>>
>> --
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> -----
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> Bruce Weaver
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