Questions tagged [statistics]
For questions about statistical methods that might be appropriate for certain paradigms within psychology, psychiatry, neuroscience, or cognitive science.
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How to calculate IQ score based on raw score and adjust for age?
I am having a hard time grasping how IQ scores are calculated. I think it has something to do with their age score ratio multiplied by 100.
Say I have a test that holds 30 questions. How would I ...
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How to analyze reaction times and accuracy together?
Is there a good way to analyze reaction times and accuracy together, other than MANOVA?
I have data from an experiment in which participants had to respond to stimuli in two different conditions in a ...
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How to estimate an expected effect size for a planned psychology study?
When planning a psychological study, researchers are often asked to formulate an estimate of expected effect sizes for important hypotheses in the study. This might be the expected group mean ...
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Can response time be incorporated into signal detection theory?
In signal detection theory, one typically uses "signal" and "no signal" responses to analyze the data (that is, the analysis is based on a discrete choice for each trial, generating the four possible ...
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Are there any journal articles in psychology that have promoted and discussed reproducible data analysis?
I consider reproducible analysis to be really important.
In particular, I'd like to see more researchers in psychology:
sharing their data
producing their journal articles using literate programming ...
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The current recommended text for statistics in behavioural sciences
I have an old book: Statistics for the Behavioural Sciences (4th ed.) by Gravetter & Wallnau. I want to transition my textbooks to eBook format, but this book doesn't come like that (as far as I ...
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Introductory resources on bayesian modeling for cognitive sciences
On Cross Validated there is a great question about best introductory books for bayesian statistics. Also, Jeromy Anglim blogged recently about use of JAGS, rjags, and Bayesian Modelling, with some ...
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What is the standard way to analyze EEG data in a mismatch negativity paradigm?
I'm running an EEG experiment using a modified auditory mismatch negativity (MMN) design, and I'm wondering if anyone can tell me the best method for data analysis (and recommend any stats programs/...
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Which statistical tests to use when analyzing NASA TLX?
The NASA Task Load Index (NASA-TLX) is a subjective, multidimensional assessment tool that rates perceived workload. A set of different scales (Mental Demand, Physical Demand, Temporal Demand, ...
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Calculating d-prime
I'm currently working on a research that has to use and calculate D Prime values for a task where subjects are presented an image at different speeds and they have to report if they saw the image or ...
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Facet versus scale prediction of Big 5 personality
NEO facets and scales: The NEO model of personality has 5 scales (i.e., extraversion, neuroticism, agreeableness, openness, and conscientiousness). For each scale there are 6 facets (e.g., neuroticism ...
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Group differences reflecting different use of a rating scale vs actual difference in perception
I was reading a paper that reports average ratings of chords by two different groups of subjects (trained musicians, and non-musicians).
The paper makes the argument that "These group differences ...
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Are psychiatric disorders merely statistical deviations?
When we suppose that a segment X of the population is at high-risk for disorder Y, don't we assume that anyone carries the same psychophenotype, yet not in a statistically-significant degree?
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Why does IQ have a truncated normal distribution?
I know that the IQ statistic is designed to give it a mean of 100 and that you'll certainly never find someone with an IQ below 1 or above 300, but that tells us very little about the variance or ...
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IQ scores - fixed raw scores vs infinite tails of the underlying normal distribution of standard scores
When taking an IQ test, if a subject responds to all questions correctly, they will achieve the maximum (raw) score, a finite number. Yet, due to the test's normalisation that takes the median raw ...
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