Conducting a Two-Way MANOVA in SPSS with Assumption Testing

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  • Опубликовано: 10 сен 2015
  • This video demonstrates how to conduct and interpret a two-way MANOVA with two dependent variables in SPSS. Main and interaction effects as well as methods for testing the assumptions of MANOVA are reviewed.

Комментарии • 43

  • @Adrianao74
    @Adrianao74 8 лет назад

    For some reason I found this video "easier" to understand/follow than one-way MANOVA. I appreciate the detailed explanation not only on how to conduct a two-way MANOVA, but also on how to interpreter it, you make it look simple, but I'm sure I'll be reviewing it again when completing the assignment. Thanks Dr. Grande.

  • @greggelliott4570
    @greggelliott4570 8 лет назад

    I agree Rich - there was more detail in the first video, and watching this one allowed me to check my notes, and just make a couple of adjustments for the differences between one-way and two-way MANOVAs.

  • @MarkVanderley
    @MarkVanderley 8 лет назад

    This was helpful in running through the process again. especially when considering testing the assumptions. will certainly be helpful when completing the homework

  • @richaudsley5032
    @richaudsley5032 8 лет назад

    This two-Way MANOVA video was a great followup to the MANOVA video

  • @drbrendaleecato8880
    @drbrendaleecato8880 4 года назад

    Very clear and easy to follow. Good refresher.

  • @vlacocabios
    @vlacocabios 6 лет назад

    I am conducting an exploratory Factor Analysis followed by a MANOVA as part of my MSc dissertation project... your help has been invaluable.

    • @DrGrande
      @DrGrande  6 лет назад +1

      I'm glad you found the video helpful - thank you for watching -

  • @alexarockiasamy4607
    @alexarockiasamy4607 7 лет назад

    I like to thank you for very clear presentation and explaining well. I found it very useful.

    • @DrGrande
      @DrGrande  7 лет назад

      I'm glad you found it helpful - thanks for watching -

  • @megamorpher1
    @megamorpher1 2 года назад

    you just saved my Masters thesis. thank you so much

  • @harikrishnankalidas8097
    @harikrishnankalidas8097 3 года назад +2

    Thank You, good tutorial

  • @matovubrian861
    @matovubrian861 5 лет назад +1

    Thank you for this educative lecture. What do i do for my analysis that is giving significant results in Levene's Test of Equality of Error Variance? what might be wrong with my data or analysis?

  • @Taeny1109
    @Taeny1109 Год назад

    Thank you so easy to understand

  • @72daystar
    @72daystar 8 лет назад

    Do you have any videos on combining dependent variables to test various hypotheses? My data set has the individual results of questionnaire Likerts. I have three scales but 24 questions, 8 per scale. How do I recombine them and examine the averages between my 6 groupings of independent variables?

  • @christianpetercadizpattuga5283
    @christianpetercadizpattuga5283 6 лет назад

    You sire are the goat

  • @prisaraujos
    @prisaraujos 5 лет назад +1

    Thank you!

  • @guroo_ghantaal
    @guroo_ghantaal 8 лет назад

    Hi, Thanks a lot for the video. I was wondering if it makes sense to conduct a two way MANOVA on the linear combination of moderately negatively correlated dependent variables?

  • @ivybyun2791
    @ivybyun2791 8 лет назад

    It was helpful to see and hear the repetition and similarities between one-way and this two-way MANOVA video. I noticed through your videos that you have a preference towards Shapiro-Wilk over K-S. Is there a particular reason for that?

  • @wadewilliams942
    @wadewilliams942 7 лет назад

    When you get to test for multivariate normality (shapiro wilk and Kilmogorov) what is the cut off for significance. I've got 5 dvs all with .000.

  • @enochawudza5489
    @enochawudza5489 4 месяца назад

    Thanks. I need further clarification on the interpretation of the interaction between variables.
    Kindly highlight on what to do if the sig value is less than 0.05 and then greater than 0.05.

  • @kylegamble8614
    @kylegamble8614 3 года назад

    This video is very helpful, but what is difficult is not knowing what to do when I don't meet something. For example, one of my DVs' KS score was .200* and the other .012. Should I still find the mahal distance or assume the multivariate normality wasn't met lol?

  • @mms0608
    @mms0608 5 лет назад +1

    Do you have any videos on repeated measures MANOVAs?

  • @ChooseSuicide
    @ChooseSuicide 6 лет назад

    what if the assumption of normality on our dependent variables is violated? Which is the appropriate test in this case?

  • @jessieleuk
    @jessieleuk 5 лет назад

    What should I do if my Levene's value is significant, P=.001?

  • @kareenkk356
    @kareenkk356 2 года назад

    Thank you, I have two independent variables and four dependent variables how do I go about it?

  • @jasapb1632
    @jasapb1632 5 лет назад

    Dear Dr Todd Grande
    I need your help i have 3 multivariate data set. The data set is like a marks of students in a class. There are 60 students in a class room they performed 6 subject exams in 3 different times. Means i have 60 X 6 3 data matrixs. is it possible to compare these 3 60X3 matrix by any statistical methods
    Please help me in this regard. Thanks in advance

  • @oluwafemisamsonbalogun9575
    @oluwafemisamsonbalogun9575 4 года назад +2

    Thanks for the video, i have two independent variable and three dependent variables. How do i go about it?

  • @Hasanahmed2013
    @Hasanahmed2013 2 года назад

    How to determine bonferroni correction alpha level? is it based on number of dependent variables? or number of dependent variables x number factors of each dependent variable?

  • @javerianadeem935
    @javerianadeem935 3 года назад +1

    Hi Dr. Grande, we are students. we need your help regarding two way manova analysis. Actually, we got output of data now we need interpretation of the results. plz help us in interpretation of the results.

  • @BrunoGiudicelli
    @BrunoGiudicelli 5 лет назад +1

    Congratulations for your work on RUclips. Your videos are very useful to me. I have a question. I have two independent variables in my study. When a use a one-way manova for each independent variable separated I found both were significantly. After, I used a two-way manova to see the interaction of the two independent variables, which was significantly, but the main effect of one of the independent variables became non-significant. Why is that so? Thank you?

    • @blackbunny109
      @blackbunny109 3 года назад

      The two-way MANOVA adjusts your alpha (0.05) to 0.025 because your two independent variables are (usually) not uncorrelated (= bonferroni correction). This means that with using the two-way manova you have a lower chance of finding significant results because of the lower alpha value but in doing so have a more precise test without risking getting positive results because of the alpha-error. i hope this still helps :)

  • @shamilajankiraman1220
    @shamilajankiraman1220 5 лет назад

    Can anyone share a good 2 way repeated measures MANOVA video?

  • @alexmcintyre1243
    @alexmcintyre1243 7 лет назад +3

    This is a really good guide to conducting the test and testing assumptions. However, it is incorrect to interpret main effects independently of the significant interaction. The interaction is the reason why gender shows as non significant. In addition when reviewing the line graphs you should only interpret the significant difference and not refer to those that were not significant as being meaningful.

  • @affectionlifeaffliction
    @affectionlifeaffliction 5 лет назад +1

    Hi Dr. Grande, great video, thanks! What if I have 5 IV (with different levels) and 2 DV?

  • @usamarehman5051
    @usamarehman5051 5 лет назад

    And what is the alternative if the data isn't normal?

  • @razieqilham3933
    @razieqilham3933 3 года назад

    Haii, can i get the data? thankyou

  • @seevnsy6040
    @seevnsy6040 Год назад

    terima kasih meski otakku pusing setelahnya

  • @cakesbyilly1799
    @cakesbyilly1799 3 года назад

    what do i do when my data does not meet the normality assumption

    • @h.a1975
      @h.a1975 3 года назад

      is it because of outliers and errors? you can remove them from the data to make it normally distributed

  • @nyotosulistiyo6726
    @nyotosulistiyo6726 2 года назад

    3:00

  • @statsmadeeasy7233
    @statsmadeeasy7233 2 года назад

    nice video can you send me the data file of this