multivariate analysis

1. How to measure the impact of a subject on student performance?

Hi, I need to find the impact of mathematics on student performance. I have only the student exam marks for mathematics and all the other subjects. What are the statistical methods that can be used for this situation other than correlation and regression? According to my point of view, I...
2. Data analysis

I have been asked to analyse the following data using linear analysis, mean standard deviation and ANOVA. However the data presented is supposed to be continuous but for small values they have grouped them as less then 5 almost like discrete. They represent the ages of children using...
3. Multivariate analysis

I have been issued data on chemicals in air samples from around the world, elements parts per million. Some of the stations have returned data where if the parts are really small <20 they have recorded the result as -20. Which I do not know how to include in my analysis of the data. I was...
4. Combining two different multivariate experiments?

Hi everyone! I have a data set of multivariate data (4 treatments, 3 samples per treatment, 14 variables, the variables are concentrations of different metabolites). I have 2 repetitions of the same experiment, performed in the exact same way. I would like see if the two data sets from the two...
5. Help with multidimensional scaling for multiple DVs

Hello statistics experts! I couldn't find an answer to my question so I thought that one of you might know: I have 14 risk sources, like nuclear power plants (let's call them "objects"), and participants judged them on 14 characteristics (e.g., potential danger). Now, I would like to create...
6. Statistics for regional disease risk factors

Hi, I've data set collected from 700 sheep farms from 5 regions of England (north, south, East, West, Central). The aim is find out if climate variables (maximum temperature, minimum temperature, rainfall) are predictors for animal disease in the regions, so the outcome variable (y) = number of...
7. Treatment-experiment interactions in multivariate data

I have a data set of multivariate data (4 treatments, 3 samples per treatment, 14 variables, the variables are concentrations of different metabolites). I have 2 repetitions of the same experiment, performed in the exact same way. I would like see if the two data sets from the two repetitions...
8. Chauvenets criterion and multivariate analysis

Hi Is it a function that could be used in R to run Chauvenets criterion to reject outliers in a data set? Or does it have to be done manually by calculating the mean, standard deviation, probability etc? Also for multivariate analysis in R, what type of analyses can you use when one...
9. Multivariate Analysis for a paired subject longitudinal microbiome study

I am trying to finish my stats analyses for a microbiome study, and the last thing on my list is multivariate analysis. I have a paired group of infants and their primary caregivers with samples taken 5 times over a 1 year period along with clinical data (sex, feeding, delivery etc). I'm looking...
10. Comparing categorical outcome variables in repeated measures design

I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...
11. Comparing proportion between categorical outcome variables, repeated measures design

I am working on an observational prospective longitudinal study with a repeated measures design. The same categorical outcome is measured for five times, for all the participants, over a time period. So there are five outcome (dependent) variables and a few predictor variables. First of all, I...
12. Multivariate regression on nominal data

I have a database of patient data and I' want to perform a multivariate analysis looking at risk factors for patient length of stay more than 3 days. For example I have: Operation type Operation findings Length of stay > 3 days weight type x finding a...
13. Which test would be appropriate to test multiple variables?

I have a data on users with 5 personality variables. The users had to pick a logo for three different projects (most likely, may be, least likely). The question is why the users chose the logo they did - is it the color, the shape, etc. There are 3 data sets - the personality test results...
14. similarity between two random variables

There have two random variables, each of which is of five dimension. One random variable tracks the data collected from one device. The other random variable represents the data collected from another device. I would like to see whether these two devices are replaceable with each other by...
15. Application of Multivariate Analysis

The following situation is proven valuable where multivariate analysis can be applied. This example is taken from the book Applied Multivariate Statistical Analysis written by Richard A. Jhonson & Dean W. Wichern.: "A study was conducted to investigate the reactions of cancer patients to...
16. Interaction effect of group (IV) and questionnaire type (DV) - Possible with MANOVA?

I already tried google and also the forum search - unfortunately I didn't find any good answer to my question: I want to know whether my two groups differ on two subscales of the same questionnaire. My hypothesis is that group 1 is worse on both subscales, but the difference to group 2 is...
17. Permanova + T-test

Hello, I have a question regarding the data analysis listed below. I am trying to run a similar study but I can't truly understand why a PERMANOVA was used. Any help would be greatly appreciated. In my study, I am comparing prey species composition, abundance, pecking rate, and swimming...
18. Extend economics thesis with multivariate analysis

Dear all, Working on my Master Thesis I got the remark from my supervisor that I have to extend the research with a multivariate analysis. I have been looking at literature, text books and different forums how to approach this, but could not find any usefull sugestions. If anyone could help...
19. MLR equivalent for repeated measures, multiple correlated responses

I'd like to determine the best approach to determining effect sizes for a set of experimental data with multiple correlated responses. Due to repeated measurements and high correlation between responses, I know that a simple multiple linear regression model obviously isn't the answer. The...
20. Choosing factors for principle components analysis

Hello, I am running a PCA on a dataset that includes 43 water wells, each with up to five descriptive factors associated with it (temp, distance to significant location, depth, number of taxa, volume of flow). I am using XLSTAT to perform the analysis. Running the PCA with the whole...