similar to: problem with mediation

Dear users, i'm using the sem package in R, because i need to improve a confermative factor analisys. I have so many questions in my survey, and i suppose, for example, that Question 1 (Q1) Q2 and Q3 explain the same thing (factor F1), Q4,Q5 and Q6 explain F2 and Q7 and Q8 explain F3... For check that what i supposed is true, i run this code to see if the values of loadings are big or not.

Hello, Any advice or pointers for implementing Sobel's test for mediation in 2-level model setting? For fitting the hierarchical models, I am using "lme4" but could also revert to "nlme" since it is a relatively simple varying intercept model and they yield identical estimates. I apologize for this is an R question with an embedded statistical question. I noticed that a

Hello all, I apologize for the simplistic question, but I have been having some trouble learning how to do mediation analysis in R. Ideally, I would like to use Preacher's Bootstrapping test for mediation (Preacher & Hayes, 2004). I have attempted to use the mediate package to set this up, using code that looks basically like this: model.m <- lm(data$outcome ~ data$mediator +

Dear R-community, I am just conducting various mediation analyses with data from individual participants who are nested in teams. I found the ?sobel.lme? function to be pretty helpful when doing so. (A big thank you to Paul Bliese for his multilevel-package and the awesome manual!) Here?s the example from the Help-file: data(bh1996) library(nlme) #A small but significant indirect effect indicates

Hello! I have problem with mediation analysis. I can do it with function mediate, when I have one mediator. But how I can do it if I have one independent variable and one dependent variable but 4 mediators? I have try function mediations, but it dosen't work. If I use mediate 4 times, each for every mediator, is it same? I want to know what is total mediate effect for 4 mediators. t.Mete

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Hi everyone,I would like to test a mediation model, that has several control variables. More specifically, I would like to test the indirect effect with bootstrapping. However, all the packages I have found so far (e.g. MBESS) only allow testing a simple mediation model (One independent, one mediator, one dependent) so that I cannot include any controls. Can somebody help me? [[alternative HTML

Hello, Have someone performed a bootstrap in a multiple-mediator model? I am trying to compute a bootstrap in a multiple and multilevel mediation. Up top now, I have developed bootstraps in random coeffient models, but I am very lost concerning the mediation. Could someone to provide me some ideas about syntax in R? Thank you very much in advance, Bea

Hi, i'm an italian student that use for the first time the mailing list. I need an help to use a function for elaborate a multinomial logit analisys. I'm making a paper on the USA's commons and their way of organize their service. The various tipologies of service are 4: public, contracting in, contracting out and no-profit. I have 10 different service for each common, and for each

Dear friends, this time I have a problem with using waba function. Firstly, I'll explain you my situation. In the survey a gruop of supervisors judge the dipendents of a company. One supervisor reported on more than one subordinate. Thus, I need to show that lack of independence is not a problem, and a reviewer told me to use WABA. The question is, how? In which way i can build my X and Y?

I'm having trouble with the mediate() and medsens() functions from the mediation package. My treatment, mediator and outcomes variables are all continuous and scaled to the 0-1 interval. The data is observational not experimental. I am thus using lm() for the initial outcome and mediation regression models. I also use weights as the data are survey data. (As a footnote, I use the svyglm()

Hi everyone, I use the boot package within the MBESS package to automate much of the hard part for folks interested in performing a (simple) mediation model. The function mediation() works well, except for a (probably) unrealistic artificial data set. When I apply the bootstrap I sometimes get: Error in t.star[r, ] <- res[[r]] which is (I think) due to Inf and -Inf and NaN values produced for

Package update: mediation Scholars across a range of disciplines are increasingly interested in identifying causal mechanisms, going beyond the estimation of causal effects. The mediation package (4.0) estimates mediation effects for a variety of experimental designs and statistical models. The update covers new models, designs, and includes many new functionalities. Dustin Tingley Government

FYI, for those of you who aren't on the serusers list. I'd like to hear how others can get this working in small Asterisk settings; I don't really have the time to implement it, but it looks very interesting. JT >To: serusers@iptel.org >From: Adrian Georgescu <ag@ag-projects.com> >Date: Mon, 31 May 2004 23:05:47 +0200 >Subject: [Serusers] CDR mediation for VoIP

Hello, In a study exploring transgenerational transmission of anxiety disorder we investigate whether infants react to experimentally induced mood changes of their mothers. We measured the time that an infant needed to cross a cliff (=crossing time) depending on whether his mother had previously undergone a mood induction (treatment) or not (control). The treatment is thus a

As I said in the other thread (for people using threaded mail)/in my last mail (for the rest), I'm working on the "split up the frames into textured triangles and output textures and coordinates" idea. The idea is to find edges in the image. So far I have a Sobel edge detector, a wavelet transformer (to compress the textures, still very incomplete, transform only), and some

Dear R list members I would be grateful if anyone could guide me to a solution for fixing my rimage package problem described below. I recently upgraded my machine from fedora core 3 to fedora core 6 and then upgraded R from version 2.3.1 from version 2.4.1. I then fired up R, tried to load the rimage library and received the following messages: > library(rimage) Error in dyn.load(x,

Hi, I'm trying to install rimage on a Mac OS X 10.4 machine. I followed the advice in previous R-help threads and got over the hurdles of having the header files in the right places, among other things. But I can't figure out what to do with this error. ice.pnl.gov:/home/waichler<949>system_profiler -detailLevel mini SPSoftwareDataType Software: System Software Overview:

<WARNING: Long message ahead> Well, I have actually done something the past 1 1/2 week. I've created a program that runs several filters over an image to extract edge information. Currently it loads any uncompressed grayscale TGA file, and spits out another uncompressed greyscale TGA file that is 255 at places where there are edges, and 0 where there are not. I managed to get out quite

I have a DMZ (eth2: 10.0.100.0) and a LOC1 (eth0: 10.0.0.0) defined on my firewall. On one of the port on the switch serving LOC1 I have now a router and a switch feeding a bunch of computers with net=10.0.200.0. While I have defined a route to reach LOC2, I would like to define also a specific zone in order to assign different rules to it. Is it possible ? if yes, what is the syntax of the