Mohammad Momenian
Mohammad Momenian
  • 11
  • 20 235

วีดีโอ

7 Comparing two means (t-test)
มุมมอง 653 ปีที่แล้ว
7 Comparing two means (t-test)
6 Categorical data analysis (chi square test)
มุมมอง 1453 ปีที่แล้ว
6 Categorical data analysis (chi square test)
5 Concepts you need to know for any data analysis
มุมมอง 403 ปีที่แล้ว
5 Concepts you need to know for any data analysis
4 How to visualize your data in jamovi
มุมมอง 1.2K3 ปีที่แล้ว
4 How to visualize your data in jamovi
3 Descriptive statistics session 2
มุมมอง 693 ปีที่แล้ว
3 Descriptive statistics session 2
3 Descriptive Statistics session 1
มุมมอง 653 ปีที่แล้ว
3 Descriptive Statistics session 1
2 Introduction to jamovi
มุมมอง 593 ปีที่แล้ว
2 Introduction to jamovi
1 Introduction to the course
มุมมอง 693 ปีที่แล้ว
1 Introduction to the course
9 Correlation and Regression
มุมมอง 1243 ปีที่แล้ว
9 Correlation and Regression
An Introduction to Linear Mixed Effects Models
มุมมอง 18K4 ปีที่แล้ว
An Introduction to Linear Mixed Effects Models

ความคิดเห็น

  • @loreflores9049
    @loreflores9049 ปีที่แล้ว

    Your presentation was awesome, very didactic. Thank you for sharing!

  • @oskari2
    @oskari2 ปีที่แล้ว

    This was incredibly helpful! Thank you for starting from the actual basics, many of the other introductions to LME on TH-cam assume that viewers already know the terminology. I'm running an LME model for a cog psych study (reading times etc.), so it's also nice to find a lecture that uses examples from the same field

  • @ggstared
    @ggstared ปีที่แล้ว

    It was a really good presentation. By the way, can you tell me what software you used to make this presentation?

  • @eyadha1
    @eyadha1 2 ปีที่แล้ว

    fantastic video. very helpful. thanks

  • @varshasingh5026
    @varshasingh5026 2 ปีที่แล้ว

    It's really soo well explained and informative lecture including all basics sir..thnx a lot for ur tutorial..

  • @ngasefa1162
    @ngasefa1162 2 ปีที่แล้ว

    Very nice lecture on mixed models, interesting slides, and catchy illustrations, thank you, Mohammad. Hopefully, you will release a similar video, supported by a downloadable dataset and r syntax, so that, viewers can learn it easly by doing the actual data analysis.

  • @mohammadb7547
    @mohammadb7547 2 ปีที่แล้ว

    Great Job. I have watched more than 10 videos before this one and none of them were helpful. This one is excellent. Keep up the good work!

  • @stephenogbodo1328
    @stephenogbodo1328 3 ปีที่แล้ว

    Thank you, this was very helpful.

  • @sinistercr0347
    @sinistercr0347 3 ปีที่แล้ว

    The best explanation in youtube i found so far. Thank you! You just earned a sub

  • @FarooqiA1
    @FarooqiA1 3 ปีที่แล้ว

    Very nice! but why ANOVA? What is tells us??

    • @mohammadmomenian1984
      @mohammadmomenian1984 3 ปีที่แล้ว

      Very nice question! I'll try to delve in this question more deeply in the updated videos!

  • @shirinmadarshahian7117
    @shirinmadarshahian7117 3 ปีที่แล้ว

    Thank you for uploading this presentation. It helped me a lot and it was fantastic!

  • @neo6480
    @neo6480 3 ปีที่แล้ว

    This is one of the best introduction videos I've watched on LME. Nice slides as well!

    • @mohammadmomenian1984
      @mohammadmomenian1984 3 ปีที่แล้ว

      Glad you liked it!

    • @boonerowen8127
      @boonerowen8127 3 ปีที่แล้ว

      sorry to be so off topic but does any of you know of a method to get back into an instagram account..? I somehow forgot the login password. I love any tips you can offer me!

    • @boonerowen8127
      @boonerowen8127 3 ปีที่แล้ว

      @Keanu Dawson i really appreciate your reply. I got to the site on google and Im trying it out atm. Looks like it's gonna take quite some time so I will reply here later when my account password hopefully is recovered.

    • @boonerowen8127
      @boonerowen8127 3 ปีที่แล้ว

      @Keanu Dawson it worked and I actually got access to my account again. I am so happy:D Thank you so much, you saved my ass :D

    • @keanudawson8657
      @keanudawson8657 3 ปีที่แล้ว

      @Boone Rowen You are welcome =)