search for: psychometrika

...Labeling Bibliography, http://liinwww.ira.uka.de/bibliography/Theory/map.labeling.html AFAIK, the only concrete and published implementation is a Fortran program published by Noma (below), and then adapted by Warren Kuhfeld at SAS in PROC PLOT, and used in his %plotit macro. Journal Title - Psychometrika Article Title - Heuristic method for label placement in scatterplots Volume - Volume 52 Issue - 3 First Page - 463 Last Page - 468 Issue Cover Date - 1987-09-27 Author - Elliot Noma DOI - 10.1007/BF02294366 Link - http://www.springerlink.com/con...

Dear WizaRds, I am trying to compute the (adjusted) Rand Index in order to comprehend the variable selection heuristic (VS-KM) according to Brusco/ Cradit 2001 (Psychometrika 66 No.2 p.249-270, 2001). Unfortunately, I am unable to correctly use cl_ensemble and cl_agreement (package: clue). Here is what I am trying to do: library(clue) ## Let p1..p4 be four partitions of the kind p1=c(1,1,1,2,2,2,3,3,3) p2=c(1,1,1,3,2,2,3,3,2) p3=c(1,2,1,3,1,3,1,3,2) p4=c(1,2,1,3,1,...

Dear all, Has someone implemented in R (or any other language) Knol DL, ten Berge JMF. Least-squares approximation of an improper correlation matrix by a proper one. Psychometrika, 1989, 54, 53-61. or any other similar algorithm? Best regards Jens Oehlschl?gel Background: I want to factanal() matrices of polychoric correlations which have negative eigenvalue. I coded Highham 2002 Computing the nearest correlation matrix - a problem from finance, IMA Journal of Numer...

Dear R experts, I was wondering if there are any R functions that give the tail area of a sum of chisquare distributions of the type: a_1 X_1 + a_2 X_2 where a_1 and a_2 are constants and X_1 and X_2 are independent chi-square variables with different degrees of freedom. Thanks, Klaus -- "Feel free" - 5 GB Mailbox, 50 FreeSMS/Monat ...

Dear list members, I am trying to get information on how to fit a linear regression with constrained parameters. Specifically, I have 8 predictors , their coeffiecients should all be non-negative and add up to 1. I understand it is a quadratic programming problem but I have no experience in the subject. I searched the archives but the results were inconclusive. Could someone provide suggestions

Hi, from what I understand about the canonical correlation function 'cancor', it looks for correlations in two sets of variables, each represented in matrix form. Right? Sounds exactly like what I need. I have tried the following but I am not sure how to interpret the results. AudioPCs <- c(ArTHarF0PCA$x[,2], ArTHarF1PCA$x[,2], ArTHarF2PCA$x[,2], ArTHarF3PCA$x[,2],

...). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17(3), 1-13. Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, and the glb: Comments on Sijtsma. Psychometrika, 74, 145-154. doi: 10.1007/s11336-008-9102-z Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika, 74, 107-120. doi: 10.1007/s11336-008-9101-0 With regards, Kevin Kevin Yet Fong Cheung, Bsc., MRes., MBPsS. Postgraduate Researcher Ce...

Dear R users and developers, I have a dataset containing 34 variables measured in a survey, which has some missing items. I would like to conduct a factor analysis of this data. I tested mi, Amelia, and MissForest as alternative packages in order to impute the missing data. I now have 5 separate datasets with the variables I am interested in factor analysing. In my reading of the package

...liability for Likert-type and ordinal item response data: A > conceptual, empirical, and practical guide. Practical Assessment, > Research & Evaluation, 17(3), 1-13. > > Revelle, W., & Zinbarg, R. E. (2009). Coefficients alpha, beta, omega, > and the glb: Comments on Sijtsma. Psychometrika, 74, 145-154. doi: > 10.1007/s11336-008-9102-z > > Sijtsma, K. (2009). On the use, the misuse, and the very limited > usefulness of Cronbach's alpha. Psychometrika, 74, 107-120. doi: > 10.1007/s11336-008-9101-0 > > > With regards, > > Kevin > > Kevin Yet Fong...