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How can Chi² be suggested when no explicit response (dependent variable) is stated? No dependent variable is explicitly stated, no research question is stated, no independent variables are explicitly stated. Plus the sample size is also 1? How can any meaningful statistical analysis be done...

? Didn't the individual visit ~48% less often in the shorter period ((6.25/7) - (6.5/14)) / (6.25/7).

Hey, what's the research question?

Has anybody used Readcube Papers? It's a few pounds a month, looks like a nice interface, if you have used it and Mendeley, does the Papers Google plugin pick up PDFs from web pages more frequently than Mendeley's?

ANOVA is not used to test discrete (non-continuous ('i.e. Never, More time)) dependent variables. A generalised linear model (e.g. binomial / multinomial) may be worth considering for discrete dependent variables. I'm not familiar with a model that will output both continuous and discrete...

Based on that, the link seems like a good post, with considerations of when and when not to consider robust standard errors: https://data.library.virginia.edu/understanding-robust-standard-errors/

As hlsmith suggests, there may be a higher likelihood of model considerations / suggestions if you post an example of the data

Cheers Robbbbbbb

How all of the parts you just described fit together, to make a clear research question, is still unclear, to me. To make it really simple, with one dependent variable, are you asking Which variable(s) from gender, income, educational institution and age explain more of the variance of the...

Hey, does anyone recommend a good, concise source with clear examples of robust standard errors, and the code snippet for an R function?; any basic model as an example is Ok initially cheers

Agreed. Asked another way, What options did Attitudes towards an issue have?

Hey, I like the way the data has been presented. I notice there's lots of alpha and no mention of power (1 - beta); worth considering with alpha a-priori for sample size estimates, and post hoc to analyse closer differences like between groups one and two. i.e., the long-run likelihood of...

Hey, the first link below might be of interest for you generally, for pretest posttest modelling: https://journals.physiology.org/doi/full/10.1152/advan.00018.2015

Espacenet is a patent search tool that may help if a patent has expired or not

If it's modelling for the 'probability of mortality' from deaths from a known number of initially living cases it's dist = binomial, as I understand it. If it is mortality out of a known number of pre-living cases, why would one use Poisson distribution in logodds instead of binomial distribution?

What would the most correlated variables from a correlation matrix be used for?

Yes thank you, I was thinking about choosing predictors for a model.

Sample space as in randomly chosen from a population? Yes this was the point

I thought one cat per cage

Ok thank you for the clarification.