Search Results

If you have both recall and recognition data from a word list, you may be able to use a multinomial processing tree model, specifically the Chechile-Meyer model. But this depends on your exact design. …

I think you already mentioned one of the most important points, knowledge about the different conditions. If my response in one condition totally influences the response to another condition which can …

Time to shine for afex (full disclosure: I am the author). There are two options on what to do: As you said, use standard repeated measures ANOVA and aggregate over the measurements. afex offers a …

For answering this question, I feel it is important to remind that regression-type models, such as mixed models, really do not treat categorical covariates and continuous covariates any different on t …

In a repeated-measures ANOVA you can only have one observation per cell of the design and unit of observation. Hence, you would need to aggregate the individual trials per unit of observation and with …

There is the possibility of using the coin package for this type of stuff. See its webpage and the accepted answer to this question. An implementation for this type of stuff would be the following. …

To say something similar to the other answers in slightly different words. I would do the following: Report that the (hopefully expected) interaction is almost or marginal significant or that there i …

As already said by propofol, the question is what you mean by "condition"? If it is only another within-subjets factor (that is how I would read it) you could still use a mixed or split-plot ANOVA (in …

The analysis you want to pursue is not uncommon (unfortunately I don't have a reference right now), but you have to split it. You have to run 2 ANOVAs and hope that the analyses agree. The overall …

I want to analyze some repeated measures data using a dummy variable for each measurement unit. This is one approach to deal with the fact that the data is not i.i.D. when repeated-measurements are pr …

You could simply use my afex package (on CRAN) with function ez.glm. Alternatively you could use ezANOVA from the ez package (also on CRAN). Both functions are basically wrappers for car::Anova(). H …

This post is a follow up on my previous post (which was interested in lme) and uses the same dataset. Now I would like to know how to analyze it using lme4. The data The data is from a behavioral ex …

If you enter your title directly into goolge, you already obtain a hint on what else to do instead of a repeated-measures ANOVA (which is only the fourth hit): A repeated measures t test. It is ess …

Models m2 and m3 can only be estimated if you have repetitions on the level of the participant-item combination. For m3 for the full factorial design. Otherwise this random effect is confounded with t …

A sketch of one solution (for another see below): Data needs to be in the long format (i.e., on value per row) instead of in the wide format as in SPSS (i.e., one subject per row), see the reshape p …