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psychology

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Mind-Expanding-Books
maartenuni
maartenuni commented Oct 10, 2019

I'll show a brief program below. The program demonstrates unclear/consistent behavior of the size, width and height arguments when creating a new Rect. Using the argparse module, the user can easily create a rectangle using the size argument. When the program isn't given any argument, the width and height argument of Rect() are used and then the the proper size is used for the rectangle, if the

HanZhang-psych
HanZhang-psych commented Feb 18, 2020

I wonder if there is an easy way to add a public significance statement right after the abstract. For example, this journal specifies that:

Authors submitting manuscripts to the Journal of Experimental Psychology: Human Perception and Performance are required to provide 2–3 (between 120–150 words) brief sentences regarding the public significance of the study or meta-analysis described in their

lab.js

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

  • Updated Mar 6, 2020
  • Python
tbates
tbates commented Apr 1, 2019

Is there any utility to adding type and cov.std options to mxStandardizeRAM?

FYI , in lavaan,

type for continuous variables

  • "std.lv" var of latents only
  • "std.all" = var of both manifest and latent variables
  • "std.nox" like "all", but exclude var of exogenous covariates.

cov.std

  • If TRUE, residual observed covariances scaled by sqrt ‘Theta’ diagonal (residual latent
JanaJarecki
JanaJarecki commented Jul 15, 2019

Hi,
umx is great, thank you for it!

I am looking for mediation-relate resources. Are there any? Is it possible to provide an example of mediation analysis with umx? I couldn't find it in the docs, only in the lavaan-to-openmx-helper function.

Particularly, it would be fantastic to exemplify hierarchical (mixed-effects) mediation because I think openmx/umx is the only framework in R that ca

drbenvincent
drbenvincent commented Dec 12, 2016

Following on from work in #126

We have an example function demo_group_comparison.m. This runs parameter estimation on two groups of data, and then calls the function group_comparison

group_comparison.m

Should be able to use the following methods:

  1. Parameter estimation approach: compare the distribution of differences
  2. Bayesian Hypothesis testing: using Bayes Factors
  3. Po

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