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You kind of have to do some kind of baseline correction first (or a highpass filter on the unepoched data) because of slow drifting. Lowpass filtering before artifact rejection is fine as long as you don't ever go back to the unfiltered signal in your analyses. After that, you can either throw out trials that exceed a set threshold, or you can do a two-step ...


4

I can see one case in which you still might analyze the data. This only works under three conditions: your paradigm has no variable durations of either stimulus presentations or breaks or others (or you can determine all the times retrospectively) AND all your fmri scans have timestamps in their header information (which I think is always the case, at ...


4

I had to do some searching to be able to answer this question. As a matter of fact, a similar questions was once asked on Signal Processing. To make the explanation more laymen-like, I think the answer means the following: With pwelch or an FFT analysis you can calculate the amplitude of sinusoids with particular frequencies (see this answer ). These ...


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You should get the APA Style Manual (currently in the 6th edition). Chapter 5 describes the effective use of graphic elements in text. It provides readers with guidance on which graphic element is best suited to the data being delivered as well as detailed instruction on table and figure preparation. It has lots of examples of how to report individual ...


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Preamble Before I go into my answer, I should point out that where the theory of psychological projection originated from Sigmund Freud, his theories are considered by many as pseudoscientific. More can be read in my answer to this in meta Definition of Projection This is a psychological defence mechanism whereby beliefs, attitudes or other negative ...


3

Assuming the data are dyadic (i.e., one child per parent), you would probably focus on correlating child scores with parent scores. Hopefully, you have a sense of how the child and parent scales align. Hopefully, they are designed to measure equivalent constructs albeit with different items. The fact that you've used different scales is a potential ...


3

A variety of packages exist that allow the calculation of these metrics. I will describe these packages by category: Software Kubios is a program from Finland that has a nice GUI, in which you can import both ECG data or IBI (not PPG), to calculate all the metrics. They support some a variety of file-formats, but you can import any other text-file with ...


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The biggest drawback of your procedure, also point of discussion previously here is the limited number of trials. Apparently, you obtained binary data, namely one answer (yes/no) per trial, basically leaving you with a sparsely sampled, binary data set. Binary data will not allow a curve fitting, which is the conventional way to determine a threshold. To ...


3

While the available R packages for EEG do not seem to support the EGI eeg data format (see Robin Kramer's comment), you might want to try MNE-Python as a free and open alternative to any EEG toolbox implemented in Matlab. MNE-Python does support the EGI eeg data format among many others. Furthermore, there are several comprehensive examples to get you ...


2

Below is a corrected version of the script. SPM seems to be quite finicky about the structure of the data passed to matlabbatch{...}.spm.spatial.realign.estwrite.daat{...}. %%job_realign.m SPM batch module. % SPM's spm_jobman function will eval this file, and automatically launch a % batch job if the parameters are valid. Cryptic errors out of spm_jobman ...


2

It looks like fslroi is the tool I'm looking for. To temporally truncate a scan the usage would be fslroi <input> <output> <tmin> <tsize> where <tmin> would be zero and <tsize> would be the number of volumes you want to keep. Now I just need to figure out how many volumes make up 7 minutes...


2

You write: When controlling for age, gender and anxiety, participants high in sense of humour will have higher life satisfaction. This is standard regression. Predictors that are control variables are the same as any other predictors, it's just that their inclusion in the model is mostly there to facilitate a desired interpretation of a focal predictor. ...


1

Sounds like you're looking for a hierarchical model. You might find some joy in BDA, http://www.stat.columbia.edu/~gelman/book/ (in particular, chapter 5) To quickly get some idea if this sort of thing is right for you, you could check out this blog-post on one particular example here http://andrewgelman.com/2014/01/21/everything-need-know-bayesian-...


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I'm not sure about my answer but first of all, to have comparable variables, I think you need to divide children's scores to 4 and their parent's to 7. As far as I understood you want to understand if two groups (parents and children) have similar humor styles. I think you can do 2*4 mixed anova to solve this problem. Your parent and child variables can be ...


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Bryan's answer is just fine, I just wish to add some fundamentals on the median. A quick look on the wiki page would've told you right away that medians of integers don't necessarily have to be integers when there are an even number of observations. Consider the data set [0 1] - the median and mean are the same, namely 0.5. An uneven number of integers will ...


1

You are using the wrong justification for using the median. The only reason you can even consider using a median or mean with Likert data is because there is meaning to values between Likert items. If you have "Agree" and "Strongly Agree" there is definitely the possibility of some value where someone agrees more strongly than agree but less strongly than ...


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The eegkit package for R is a good and open source toolkit for data analysis. It is easy to use and you can get really cool plots.


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Another classic distinction was given by Bargh in 1997 that helps show muddling (lack of clear overlap) between the dual-systems concept and how the unconscious is defined by psychologists: Unconscious cognition is more likely to be one or more: outside awareness, not intended, relatively fast, and difficult to control. http://psycnet.apa.org/record/...


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Peter Carruthers argues (2014) that system 1 doesn't quite overlap with unconscious thinking: I shall argue that there is, indeed, a real, scientifically valid, distinction between a set of intuitive, unconsciously operating reasoning systems, on the one hand, and a reflective system whose operations are partly conscious, on the other. But I shall ...


1

Yes, they almost certainly mean visual degrees. I presume you know how to calculate visual angles at the distance of your display and how to transform your eye tracked data to that coordinate system. Full width at half maximum (FWHM) means just what the individual words say: for a Gaussian filter, there are going to be two points on either side of the ...


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If you want to report the dispersion, add some error bars, or better do a box plot, or even violin plot, but the latter require understanding of less introductory concepts (for tuning purposes). For a non-graphical presentation of e.g. age by task (and by gender as well), see contingency table. These can be nested. If you want to know if there are ...


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Apparently the paper you mention is simply evaluating the median in the EEG spetrum. Say that for all your channels you get a 3D matrix PSD, with dimension 1 the number of channel, dimension 2 the time windows, and dimension 3 the frequencies. In pseudocode the article computes M = median(median(PSD,2),1), then removes the trend with CorrectedPSD = PSD - M. ...


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