Howdy, Stranger!

It looks like you're new here. If you want to get involved, click one of these buttons!

Supported by

How to run ANOVA in this case with repeated measures?


I am looking for help how to set up JASP in the following case:

a cress test has been run with 4 different substrates and 4 different levels of a material called FerroSorp. In every Petri dish 10 seeds where placed. After the experiment the root length of each seed in all the different variants was measured. Every variant has three reps (=Petri dishes). Now I would like to run an ANOVA that compares the data without starting with the average of each Petri dish but instead using the information of all the 10 seeds in each dish. How do I have to set up this? Please find the csv data attached. I guess it's a repeated measure ANOVA but am not sure how to set the inputs right :/ Many thanks for Your help.



  • Hi Friedrich,

    I think you first have to decide whether you want to use ANOVA or a linear mixed model.



  • Hi E.J.,

    thanks for the information. I honestly don't know which option is preferable. I want to compare the average of each variant with the additional information from each dish and see if there is any effects.



  • I'll ask someone from to team to assist (I am a bit swamped right now).

  • Hi @Mientusz,

    Based on your last reply I think a linear mixed model is the way to go here. This model will account for each individual dish, while allowing you to compare the average (i.e., fixed) effect between the different groups.

    I looked at the csv you uploaded here, and it seems you some columns that have no header - did something go wrong there? If I have the correct data format, I can make you a jasp file to illustrate how to use jasp for mixed models.

    Kind regards


  • Thanks Johnny for Your kind offer!

    I am wondering about what You refer to mentioning that some columns do not have a header? I uploaded both the csv and an Excel file and in both all columns have a header - same in JASP? However, for some root length there simply isn't any data because the seeds didn't germinate....

    Does this help?

    All best,


  • Hi @Mientusz,

    No problem, it turned out to be a problem with the delimiter character, but all good now!

    So I have some more questions:

    • You would like to test for differences between the substrates, and between the FerroSorp factors?
    • Is germination rate included, or is it not relevant for this analysis?
    • You have 10 columns for each seed, so you have basically 3x10 = 30 observations for each combination of FerroSorp and substrate? where each of those 30 observations is a separate "participant"?

    The tricky thing with these analyses is that the data need to be in a specific format (long format). While JASP does not offer the possibility to go from wide to long (it's on our todo list still), I can do this in R for you, but then I need the answers to the questions above..



  • edited September 2021

    Hi Johnny,

    thanks so much!

    • The germination rate can be avoided.
    • I would like to test if there are effects caused by the substrate and - more important - by FerroSorp. Substrate probably is pretty obvious but FerroSorp I have some difficulties.
    • Exactly, each combination was repeated with 10 seeds. The test should consider the variation within each repetition so I can't just use the average of a repetition because valuable information might be lost. I have never used the term participant but I guess that's what You refer to.

    All the best,


  • I was just going to see if I can lend a hand, but it looks like you are already being taken care of. Just to clarify for you; it seems that most if not all of the developers of JASP are psychologists, as are many of the users. So yes we are in the habit of modelling the response to subjects or participants, in human behavioural experiments, but though your seeds are not participants, it is from them that you take your observations, so it's just a case of differences in terminology between disciplines!

  • Hi @Mientusz,

    Thanks for the additional info (and thanks @TarandeepKang for the clarification!).

    What I ended up doing was to run a RM ANOVA, with each Seed column as a repeated measurement, to keep the design intact (so having 10 levels of a repeated factor I called Seedling). However, this variable is not of interest (unless you are interested in differences between the seeds), but we can still look at differences between the two between-subject factors Substrate and FerroSorp. You can take a look at the JASP file I uploaded here, where I ran both a Bayesian and frequentist RM ANOVA this way. You can see that there are no differences between the levels of FerroSorp (Inclusion Bayes factor of 0.1, p-value non-significant, raincloud plots indicate no difference). The Bayes factor here allows you to quantify evidence against the inclusion of FerroSorp (i.e., evidence for the null hypothesis, which would be 1/0.1 = 10). Please let me know if you have additional questions - hopefully I understood your design correctly.



Sign In or Register to comment.

agen judi bola , sportbook, casino, togel, number game, singapore, tangkas, basket, slot, poker, dominoqq, agen bola. Semua permainan bisa dimainkan hanya dengan 1 ID. minimal deposit 50.000 ,- bonus cashback hingga 10% , diskon togel hingga 66% bisa bermain di android dan IOS kapanpun dan dimana pun. poker , bandarq , aduq, domino qq , dominobet. Semua permainan bisa dimainkan hanya dengan 1 ID. minimal deposit 10.000 ,- bonus turnover 0.5% dan bonus referral 20%. Bonus - bonus yang dihadirkan bisa terbilang cukup tinggi dan memuaskan, anda hanya perlu memasang pada situs yang memberikan bursa pasaran terbaik yaitu Bola168. Situs penyedia segala jenis permainan poker online kini semakin banyak ditemukan di Internet, salah satunya TahunQQ merupakan situs Agen Judi Domino66 Dan BandarQ Terpercaya yang mampu memberikan banyak provit bagi bettornya. Permainan Yang Di Sediakan Dewi365 Juga sangat banyak Dan menarik dan Peluang untuk memenangkan Taruhan Judi online ini juga sangat mudah . Mainkan Segera Taruhan Sportbook anda bersama Agen Judi Bola Bersama Dewi365 Kemenangan Anda Berapa pun akan Terbayarkan. Tersedia 9 macam permainan seru yang bisa kamu mainkan hanya di dalam 1 ID saja. Permainan seru yang tersedia seperti Poker, Domino QQ Dan juga BandarQ Online. Semuanya tersedia lengkap hanya di ABGQQ. Situs ABGQQ sangat mudah dimenangkan, kamu juga akan mendapatkan mega bonus dan setiap pemain berhak mendapatkan cashback mingguan. ABGQQ juga telah diakui sebagai Bandar Domino Online yang menjamin sistem FAIR PLAY disetiap permainan yang bisa dimainkan dengan deposit minimal hanya Rp.25.000. DEWI365 adalah Bandar Judi Bola Terpercaya & resmi dan terpercaya di indonesia. Situs judi bola ini menyediakan fasilitas bagi anda untuk dapat bermain memainkan permainan judi bola. Didalam situs ini memiliki berbagai permainan taruhan bola terlengkap seperti Sbobet, yang membuat DEWI365 menjadi situs judi bola terbaik dan terpercaya di Indonesia. Tentunya sebagai situs yang bertugas sebagai Bandar Poker Online pastinya akan berusaha untuk menjaga semua informasi dan keamanan yang terdapat di POKERQQ13. Kotakqq adalah situs Judi Poker Online Terpercayayang menyediakan 9 jenis permainan sakong online, dominoqq, domino99, bandarq, bandar ceme, aduq, poker online, bandar poker, balak66, perang baccarat, dan capsa susun. Dengan minimal deposit withdraw 15.000 Anda sudah bisa memainkan semua permaina pkv games di situs kami. Jackpot besar,Win rate tinggi, Fair play, PKV Games