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Mixed modal MANOVA or something else?

I am once again asking for your help. I am developing a research proposal and I am a bit confused. I have a randomized controlled trial (RCT) for testing the efficacy of a therapeutic intervention, in ...
user2205's user avatar
0 votes
0 answers
29 views

Distribution of between-group sum of squares (SSB)?

Consider a standard multivariate random effects model $$\mathbf{X}_{ij} = \boldsymbol{\mu} + \boldsymbol{\alpha}_i +\boldsymbol{\varepsilon}_{ij}$$ for $i = 1,\ldots,m$ and $j = 1,\ldots,n_i$, and ...
Bergson's user avatar
  • 79
0 votes
0 answers
79 views

Multivariate analysis with lmer and lmerTest

I'm dealing with compositional data (data that sum to 1). They are inherently multivariate. One way to analyse compositional data is with a ilr (isometric log-ratio) transformation. I'm following the ...
Nee's user avatar
  • 11
2 votes
1 answer
31 views

Which statistical test to use analyzing multivariate brain scan data (Channels, Frequency Bands, Measures)?

As a Computer Science student inexperienced in statistics, I'm looking for some advice on selecting the appropriate statistical test for my dataset. My data, derived from brain scans, is structured ...
Syskoo's user avatar
  • 21
0 votes
0 answers
12 views

Which stats test--MANOVA or Mixed Effects?

I need to see if there's a statistical difference for each ID between CHLA, CWBA, and CH and what that difference is, AS WELL AS, if Species Type is a factor. Which R package would do this? I have the ...
Kate's user avatar
  • 1
0 votes
0 answers
63 views

Analysis of longitudinal data with a change in DV - SEM, MANOVA or not possible?

I have a dataset in which a (latent) construct (e.g., math performance) is measured at different time points using different psychological tests. The first data point is comparable to an assessment ...
Dom42's user avatar
  • 115
1 vote
1 answer
90 views

Model selection for $4\times 2\times 2$ factorial design in R

I have read so many books, forums, and sites that I have completely confused myself. Originally, my design was a simple 4x2 factorial with two categorical predictors, but it has gotten more complex ...
E10's user avatar
  • 101
3 votes
1 answer
130 views

Linear mixed model (repeated measurements) on HUGE dataset

I have a huge dataset with measurements of 21k genes across 11k samples. The measurements, called expression, represent (roughly) how "active" that gene is in the cells of the sample (in ...
abalter's user avatar
  • 1,158
0 votes
1 answer
217 views

How to perform ANOVA for data measured with unequal time interval?

So I have a set of patient data divided into 3 groups based upon their vision. I also have data on few variables that I believe to be relevent which are measured pre-surgery, 1 day post-surgery, and 7-...
dfd fdg's user avatar
1 vote
1 answer
98 views

Why repeated measures output gives different output than MANOVA (SPSS)?

I see that this topic was closed few days ago, because it concerns specific context (data). No actually it does not. This is something that happens with any two variables that u have (at least 2) and ...
Hussain's user avatar
  • 171
1 vote
2 answers
4k views

Treat year as a fixed effect, random effect, or covariate?

I have a dataset of fish species from different sites within a harbour collected over 17 years. The dataset consists of 1,042 sampling transects collected at 6 specific locations where fish were ...
Dugan 's user avatar
  • 157
0 votes
0 answers
425 views

Comparing the means of latent variables in a CFA model measured at two different times in R

I have a CFA model with 7 latent variables and about 4 items per construct, I'm using R with lavaan for the CFA, $N\approx 3500$. My model looks like this: ...
john.abraham's user avatar
4 votes
1 answer
61 views

Is this a proper use of mixed modeling?

I admit I'm fairly new at statistical modeling and so I'm not confident in the method I am using. Using LC-MS/MS, I am monitoring the degree of post-translational modification of specific peptides by ...
Eddjah's user avatar
  • 43
1 vote
1 answer
333 views

Some kind of a Manova with repeated measures

I have a question that is somewhere between R and stats I guess... Let's set up the situation: I have a test that gives 4 scores, corresponding to 4 different dimensions of a problem. We can assume ...
Stouf's user avatar
  • 21
1 vote
0 answers
70 views

Would a repeated measures MANOVA be appropriate for a 9DV, 2IV within subjects study design?

I am trying to get an estimate of participants to strive for in my study. Being rather new to the research and stats scene, I was hoping the community could help me out a little bit? The study has 9 ...
sc4s2cg's user avatar
  • 11
1 vote
1 answer
28 views

Estimating a single drug effect in a sample of patients: each patient assumes multiple drugs. Is this possible?

So here is my scenario: Patient A takes drugs 1 - 2 - 3 Patient B takes drugs 2 - 3 - 4 Patient C takes drugs 1 - 2- 4 and so on ... Each patient gets his symptom severity measured two times: first ...
whateva12's user avatar
2 votes
2 answers
3k views

Mixed Model using lme4 in R for multiple response data

I have some questions about how to translate my data structure and research Qs to syntax for the lmer function (lme4 package). I am looking to predict teenagers scores on a mental health questionnaire ...
regressless's user avatar
1 vote
0 answers
19 views

An Interesting Model with Unknown Orthogonal Design Matrix

Consider a linear mixed model, $$\mathbf{y}_{ij}=\mathbf{\Gamma}\mathbf{\mu}+\mathbf{z}_i+\mathbf{e}_{ij}, ~~ ~~i=1,\ldots,m,~~j=1,\ldots,n_i, $$ where $\mathbf{y}_{ij}$ are $k\times 1$ observation ...
xiaopai833's user avatar
0 votes
1 answer
349 views

Mixed desgin ANOVA or LMM?

I am hitting a wall and would appreciate some help. Here is my data (raw data, before computing the means): ...
Karvin's user avatar
  • 15
1 vote
0 answers
2k views

Two-way MANOVA - No significant multivariate interaction - can I still interpret univariate interaction?

Assume that a two-way mixed (two independent variables (IVs)) MANOVA was conducted. The multivariate interaction effect of the two IVs on the dependent variables (DPs) together was not significant. ...
Raphael's user avatar
  • 173
2 votes
1 answer
1k views

MANOVA or Mixed Models

We are doing an interesting behavioral study on waterbirds. Let me explain the design of the study before asking the statistical advice. The lake is divided into 2 parts, In one part fishing is ...
User_Huey's user avatar
2 votes
0 answers
385 views

variable-specific output for MANOVA with error term?

I am analysing a multivariate data set of several measurements taken from a number of cells for individuals from two treatments (see example below) ...
Miriam F.'s user avatar
1 vote
1 answer
1k views

Interpretation of linear mixed effects results with multiple response variables

I have a hard time analyze my results from using the nlme package in R. This is the scenario: I got a repeated measures analysis (7 timepoints within each of the 20 subjects). I got three response ...
NeoP's user avatar
  • 11
0 votes
0 answers
165 views

Poor mans anova

Background: I did something that I don't feel bad about, but I don't feel exactly right about. I would like to get enough pointing in the right direction to teach myself and feel solidly good about ...
EngrStudent's user avatar
  • 9,843
1 vote
1 answer
624 views

Manova or Linear mixed models

I’m a newbie in statistics and R, so I hope that my question isn’t too banal for you. I’m going to carry out an experiment in order to verify whether cortisol and Hemoglobin levels are different ...
piravi's user avatar
  • 301
1 vote
0 answers
160 views

Manova or Linear Mixed model? [duplicate]

I’m a newbie in statistics and R, so I hope that my question isn’t too banal for you. I’m going to carry out an experiment in order to verify whether cortisol and Hemoglobin levels are different ...
piravi's user avatar
  • 301
0 votes
1 answer
1k views

What is the best approach for this set-up: RM ANOVA / MANOVA / Mixed-Models?

I have a simple dataset from a within-subject design. Each participant provided a verbal description of 3 stimuli. The descriptions were coded so that they consist from objects each belonging to 1 out ...
Kuba Krukar's user avatar
1 vote
0 answers
242 views

Estimating and comparing pre-post treatment effects in multiple pairs of treatment-vs-control groups

I have a dataset from an experiment where the goal was to study in which plant ecotype a treatment with a certain bacteria had the greatest effect. Hence the data consists of a number of control and ...
Staffan's user avatar
  • 11
1 vote
1 answer
1k views

How to prove that MANOVA is a special case of mixed models?

I am writing my master's thesis in quantile multilevel regression. My professor all of a sudden decided to change the subject of my thesis into something that could be called "quantile multilevel ...
Davide's user avatar
  • 177
5 votes
1 answer
8k views

How to perform a MANOVA with a random effect in R?

I performed an experiment where I raised different families coming from two different source populations, where each family was split up into a different treatments. After the experiment I measured ...
KL_STKBK's user avatar
  • 381
2 votes
0 answers
170 views

How can I test for significance of a treatment in an unbalanced, repeated-measures experiment using R?

CrossValidated Community, I must mention that I am a first-time poster (and relatively new to both modelling and R), so please excuse any norms I may violate in my post and politely inform me. I ...
MattF's user avatar
  • 21
1 vote
1 answer
1k views

How to describe a design with a mix of experimental conditions, predictor variables, and multiple outcome variables?

My research design is as follows: I have these Between Subjects IVs: Experiment Condition - 5 levels Facebook User status - 2 levels (yes/no) My supervisor also wants me to see if there are ...
emilie rankine's user avatar