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o_guest's profile
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
@o_guest

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Olivia Guest | Ολίβια Γκεστ

@o_guest

• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com  •

Τότεναμ, Λονδίνο & Cyprus
olivia.science
Joined October 2015

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    1. Brad Wyble‏ @bradpwyble 24 Nov 2018
      • Report Tweet
      Replying to @o_guest @richarddmorey and

      Fair, but even though their precise knowledge is inaccurate they do have a correct understanding that the quant skill requirements in psych are << those in physics, maths.

      1 reply 0 retweets 1 like
    2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 24 Nov 2018
      • Report Tweet
      Replying to @bradpwyble @richarddmorey and

      My point was in the UK they have already done teaching coding to all years of undergrad — just like they go from t-test to linear regression and more over the 3 years in stats.

      1 reply 0 retweets 2 likes
    3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 24 Nov 2018
      • Report Tweet
      Replying to @o_guest @bradpwyble and

      Basically my point boils down to: in the UK the tide has turned and we teach undergrads to code "against their will" just like we teach them research methods/stats "against their will". 🤣

      0 replies 0 retweets 14 likes
    4. Jim A.C. Everett  🏳️‍🌈‏ @JimACEverett 24 Nov 2018
      • Report Tweet
      Replying to @aeronlaffere @richarddmorey and

      On other hand, if there was more coding built in to course, universities would likely take this into account for admissions, and if women less likely to take STEM at A-level, this could actually make it worse. Don’t think its reasonable to assume no bad consequences

      2 replies 0 retweets 3 likes
    5. Jim A.C. Everett  🏳️‍🌈‏ @JimACEverett 24 Nov 2018
      • Report Tweet
      Replying to @JimACEverett @aeronlaffere and

      And actually, this likely to be particularly bad for working class students.

      1 reply 0 retweets 2 likes
    6. Nick Brown‏ @sTeamTraen 24 Nov 2018
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      Replying to @JimACEverett @aeronlaffere and

      This is starting to sound like an empirical question. 😀 I used to incline towards pessimism, in that people who are put off by "(the idea of doing)" stats may also not like "(ditto) coding", but if those are correlated .9 then maybe there's no extra penalty for adding coding.

      1 reply 0 retweets 9 likes
      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 24 Nov 2018
      • Report Tweet
      Replying to @aeronlaffere @sTeamTraen and

      Olivia Guest | Ολίβια Γκεστ Retweeted Olivia Guest | Ολίβια Γκεστ

      I said that already! 🤣https://twitter.com/o_guest/status/1066385451907452928 …

      Olivia Guest | Ολίβια Γκεστ added,

      Olivia Guest | Ολίβια Γκεστ @o_guest
      Replying to @JimACEverett @aeronlaffere and 4 others
      They teach stats at undergrad, which is QUINTESSENTIALLY a STEM tool. What does coding change from the current system? Also all kids do basic coding at school in the UK now (as well as where I grew up). Anyway many Psych courses do teach coding now.
      10:03 AM - 24 Nov 2018
      • 5 Likes
      • Thom Baguley Gareth Roberts eigenvalue Claudia Lazarides Aeron Laffere
      1 reply 0 retweets 5 likes
        1. New conversation
        2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 24 Nov 2018
          • Report Tweet
          Replying to @o_guest @aeronlaffere and

          Adding in coding changes nothing. In fact it helps relieve rote learning SPSS menus.

          1 reply 1 retweet 17 likes
        3. Nick Brown‏ @sTeamTraen 24 Nov 2018
          • Report Tweet
          Replying to @o_guest @aeronlaffere and

          Agreed... now I have 2 concrete concerns: 1. Where will the time come from to teach coding? (Not sure that "From the time not spent learning SPSS clicking" will be sufficient.) It's easy to have ideas for adding to a curriculum, but nobody wants their stuff to have less time.

          6 replies 0 retweets 4 likes
        4. Joe Simons‏ @joejps84 24 Nov 2018
          • Report Tweet
          Replying to @sTeamTraen @o_guest and

          ex1 <- read.csv("ex1.csv", header = T) plot(ex1$iv, ex2$dv) lm(dv ~ iv, data = ex1) Is the learning curve at that level really do high? (Genuine Q - I use it every day so can't judge!)

          2 replies 0 retweets 2 likes
        5. Brad Wyble‏ @bradpwyble 24 Nov 2018
          • Report Tweet
          Replying to @joejps84 @sTeamTraen and

          Yes, there's a lot to unpack there. You first need to teach them what a variable is. You also need to teach them what a function is, and that code executes in order. I think a lot of people forget how hard it is to code if you have literally never done it before.

          1 reply 0 retweets 10 likes
        6. Nick Brown‏ @sTeamTraen 25 Nov 2018
          • Report Tweet
          Replying to @bradpwyble @joejps84 and

          In the 1980s I taught a course for engineers using our CAD product which had a powerful programming language built into it. They understood sin(x) no problem, but the idea of writing your own fn(x, y, z) that returned a number was often really hard for them to understand.

          1 reply 1 retweet 3 likes
        7. Nick Brown‏ @sTeamTraen 25 Nov 2018
          • Report Tweet
          Replying to @sTeamTraen @bradpwyble and

          Other issues: - Local variable scope (different in every language!) - Strings versus character vectors versus names - Vectors versus lists Many of these things require a "mathematical/logical" mind, which may be partly orthogonal to talent for statistics.

          1 reply 0 retweets 4 likes
        8. Nick Brown‏ @sTeamTraen 25 Nov 2018
          • Report Tweet
          Replying to @sTeamTraen @bradpwyble and

          Example of the scope problem. > f<-function() {print(X); X<-X+1; print(X)} > f() Error in print(X) : object 'X' not found > X<-3 > f() [1] 3 [1] 4 > print(X) [1] 3 Now replace X<-X+1 with X<<-X+1. Think how much understanding you need to master this.

          2 replies 0 retweets 1 like
        9. Nick Brown‏ @sTeamTraen 25 Nov 2018
          • Report Tweet
          Replying to @sTeamTraen @bradpwyble and

          I've programmed in ~25 languages, ~15 of those for pay, and I found some R stuff a bit tricky at first. For example, imagining how the parser must work for constructs like formulas to be possible (as opposed to as.formula(string)) is a little mind-bending.

          2 replies 0 retweets 1 like
        10. 6 more replies

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