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Do we all think in the same way, or are there great individual differences? In recent years research on imagery, or rather lack of imagery, was labeled "aphantasia", and is now a very popular subject. I have argued since 15 years that all forms of agnosia have their counterpart in imagery agnosia. See my recent paper "Imagery agnosia and its phenomenology", where I write about my own experiences. It is linked to the project page:
Imagery Agnosia (umk.pl)
"It is widely accepted that there are no inherent gender differences in mathematical ability or intelligence" Sunday Times Jan 21 2018 p5.
"Differences in intelligence have long been a topic of debate among researchers and scholars. With the advent of the concept of g or general intelligence, many researchers have argued for no significant sex differences in g factor or general intelligence while others have argued for greater intelligence for males. The split view between these researchers depended on the methodology and tests they used for their claims....
Some studies have concluded that there is larger variability in male scores compared to female scores, which results in more males than females in the top and bottom of the IQ distribution. Additionally, there are differences in the capacity of males and females in performing certain tasks, such as rotation of objects in space, often categorized as spatial ability." Sex differences in intelligence Wikipedia Jan 21 2018
What the ST article probably meant is that it is widely accepted that this topic cannot be rationally discussed in the popular media.
This is a highly contentious issue, but surely society would greatly benefit from knowing the answer. For individual researchers, however, their careers and reputations could be trashed by studying this topic. I heard very highly cited professor of psychology say his wife had begged him not to give a lecture that turned out to be a straightforward literature review of cognitive sex differences.
I am posing the question her as RG is one of the very few places that topics like this can be sensibly discussed.
Problem statement: to optimize the scheduling of a device(air conditioner) in RTP price environment( where the prices are changing every hour) so that the cost over a day is minimized.This can be called a case of individual optimization. Likewise i have to optimize 3 AC"s separately, where A=cost1+cost2+cost3.
Global optimization considers for instance three houses(AC's), to minimize the total cost of three AC's together. Which means now i have to solve for a consumption matrix,consisting of 3 AC consumption vectors.B=cost_total(not summation of the 3 costs !). Do you think the cost savings by global optimization will be lesser in any sense than the individual optimization(B<A).If so why ?
explanations needed plzzz :)
Individuative counseling is often necessary as a precursor to group therapy. Individuals may deeply ensconced in their cognitive impasse requiring methods to extract the inherent problems before they are ready for group counseling.
I am in search for publications that focus on the differences between group and individual therapy and appropriate ethical considerations.
I would be grateful for any assistance you might provide.
xAPI is the new e-learning specification to succeed SCORM. We need some studies about using xAPI for recording and tracking learners' traces on the platform, focusing on learners’ individual differences like online behavior, motivation, cognitive development, learning style, cultural background, level of attention...
Say I am interested in examining individual differences in cognition and behavior and am interested in how specific survey scores and parameters predict/covary with performance on a task. How would I analyze this data based on the literature?
Are there conventional methods for analyzing differences in psychological phenomenon across individuals? Is that exactly what uni/multivariate statistics is for? Or are there alternative methods? Are there where advanced statistics comes in?
Is it more compelling and/or informative to analyze individual differences in a single subject design, an aggregate model/submodel (GLM), or as a dynamical system?
What does the basic and current literature say? What papers or books explicitly discuss this?
I want to conduct a ROI analysis on functional MRI data and my supervisor suggested this great toolbox by Benson (https://github.com/noahbenson/neuropythy).
Basically it creates ROI labels in surface space (you need to previously use freesurfer to inflate your brain), which you can then transform into volume space (at least I think that is the way it works). It looks very nice and is easy to use. It can create ROIs in visual areas (V1-V3, IPS, LOC, etc.) based on the Wang et. al. (2015) atlas.
Now to my question: Does any one of you know a similar toolbox, but for other brain areas? I am mostly interested in frontal and parietal cortex (but I guess every other area will be interesting for others too).