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633105
bio website jeromyanglim.blogspot.com
location Melbourne, Australia
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visits member for 2 years, 6 months
seen 17 hours ago

I am a Lecturer in the School of Psychology at Deakin University bridging I/O psychology and statistics.

I'm quite active on the Cognitive Sciences and Statistics Stack Exchanges.

You can find me also on:


Mar
17
comment What is the standard error of measurement for teacher made multiple choice tests?
+1 I agree IRT (bayesian IRT in particular) provides a great framework for modelling multiple choice tests. In my particular case, I'm looking for heuristics that teachers might use to guide their decision about how many items to include in a test. I'd like to be able to give teachers a rough sense of how much more accurate their test could be if they for example increased their test from 80 to 100 items.
Mar
10
comment What is the standard error of measurement for teacher made multiple choice tests?
Standard error of measurement is the standard deviation that would be obtained if you were able to repeatedly obtain a measure for a particular individual under hypothetical identical circumstances. I.e., it's a measure of the uncertainty you have about a measure you have obtained on a person.
Mar
6
comment Is fear rational?
As a related topic you may want to read up about the evolution of emotions and arguments for their adaptive functions: en.wikipedia.org/wiki/Evolution_of_emotion
Mar
5
comment Should fantasy distractors be avoided in multiple choice questions
Can you clarify how you are defining "fantasy distractors"? Obviously without incorrect options, it would not be a test. But from your single example, I can't discern the exact distinction you are making between different types of distractors.
Feb
28
comment What are the effects of social rejection on the brain?
Could you add a reference to the study?
Feb
27
comment What is it called when a student tends to speak about what he knows?
It sounds a bit like framing/reframing. Politicians and job applicants do it all the time.
Feb
15
comment Why are most people right handed?
an interesting discussion of this topic: io9.com/5840005/why-are-most-people-right+handed
Feb
13
comment What is the mechanism behind “gut feelings”?
That sounds interesting. Any thoughts about how your theory of gut instinct might be applied to the OP's context of answering questions on an IQ test?
Feb
13
comment Are there cognitive benefits to two hand typing versus one finger?
@StevenJeuris . good point. I've divided the content into two clearer sections now.
Feb
11
comment What are the most well-understood vocal animal languages?
I imagine quantifying "well-understood" would be difficult. Does this list of well-studied non-primate animal languages meet your needs en.wikipedia.org/wiki/…
Feb
8
comment How to adjust SSE or RMSE for the number of free parameters in the model?
This sounds more like a question better suited for stats.stackexchange.com . Is there an aspect of this that relates particularly to cognitive modelling?
Jan
28
comment How people choose at random
It would also be interesting to know whether people could be trained to choose more "randomly".
Jan
28
comment Does the Hodgkin-Huxley Model take into account the action of the ion pumps (e.g., Na-K-ATPase)?
Welcome to the site. Please don't simultaneously cross-post on multiple stack exchange sites. biology.stackexchange.com/questions/6944/…
Jan
18
comment Is the Raspberry Pi capable of operating as a stimulus presentation system for experiments?
Interesting idea. What kinds of experiments were you planning on running with it? I wonder whether you'll get a better answer here or on raspberrypi.stackexchange.com
Jan
16
comment Quantify degree to which non-diagnostic features bias category-present response
(b) Given that participants do not know the true probabilities apriori nor whether they are stable over time, how does Bayesian updating of probability estimates or probability matching relate to your conception of the correct response over time?
Jan
16
comment Quantify degree to which non-diagnostic features bias category-present response
I just had a couple of queries: (a) Assuming that a feature of an object is perfectly unrelated to being in a category. I.e., probability of category membership is 50%. Then expected number correct would be identical irrespective of the response strategy used (i.e., always say yes, always say no, 70% yes, etc.). Thus, how can you say that responding "yes" 50% of the time is "correct"?
Dec
21
comment What is the scientific support for Einstein's claim about the negative effects of reading too much?
It seems there are two issues: (1) what is the scientific claim implicit in the quote; and (2) what is the support for that claim once disambiguated. I've tweaked the title to perhaps better capture this twofold issue.
Dec
19
comment What is the support for a global personality factor?
I know that when I've used the IPIP measure of the Big 5, I've typically obtained average scale intercorrelations of around r=.20 to r=.30.
Dec
15
comment What is the effect of not sub-vocalizing on reading comprehension?
see this related question: cogsci.stackexchange.com/questions/1691/…
Dec
8
comment How do graphic objects in data visualisation facilitate ease of interpretation?
Interesting topic. Feel free to also ask the specific question that you mention at the end as a separate question. e.g., How can proportions best be communicated graphically to a general audience in order to communicate risk?