Nested Models and HLM
Is there a difference between a Nested Model in general and what is referred to as a hierarchical linear model? Thanks, Brett Magill = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
stat packages
I am interested in opinions on the Statistica package. I have always used SPSS, but now that I need to buy my own program, I am intrigued by Statistica. Not surprisingly, their ads are very compelling. I need a general, broad-based package with basic stats, GLM, regression, survival analysis, and graphics. I have used SPSS since the mainframe days, but I am Statistica (and Systat) appear to provide excellent value. I am a behavioral science researcher with a moderate to strong background in applied multivariate analysis (not a statistician). Any comments? Thanks. -- Al J. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Statistics textbook recommendation
On Thu, 07 Sep 2000 17:11:18 -0700, deleeuw [EMAIL PROTECTED] wrote: Abelson book is in paperback for $ 25. Rich Ulrich wrote: snip, my recommendations Thanks! I had not noticed that it was in paperback. I guess that means it has been selling well, to someone. My bookstore said $28.50 when I ordered it, a few hours ago. - I see that the hardback is only $60, according to Books in Print (not the $100 that I said). -- Rich Ulrich, [EMAIL PROTECTED] http://www.pitt.edu/~wpilib/index.html = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: stat packages
I am a big MINITAB fan, but I'll be as unbiassed as I can be. . . When I was looking for a general statistics package to provide for engineering use (basic stats, regression, GLM, reliability/survival analysis, DOE, etc) the only packages that had the tools I needed were Statistica, JMP, MINITAB, and StatGraphics. I spent a lot of time playing with each of these. I VERY seriously considered Statistica, it has a very good graphics engine, but I found it much too hard to use. I found it could do everything, but I was always struggling to get it done. It made my brain hurt. I seriously encourage you to download their demo - although it is probably so hobbled it may be hard to use. StatGraphics has a very old windows environment, so I ruled it out pretty early. JMP 4 is a pretty good stat package, but I've always found JMP to have an odd environment, especially for someone who knows what they want to do (what tests to run, etc). Their Fit Model tool drives me nuts. JMP 4 is slightly improved, esier to find stuff, but not much better. It does have a slightly better survival tool, but it is limited - right censor only - no interval censoring or plots that I can find. Do download the JMP 4 demo - it is hobbled, so you can only use their data, can't print, etc - at www.jmpdiscovery.com. It makes it hard to evaluate fully. As I said, I really like MINITAB, and strongly recommend it. It has very powerful GLM, , time series, regression, Survival, and basic stats tools. It also has good graphics, although not as nice as Statistica. They have a fully functioning demo (the only "hobble" is it stops operating after 30 days - and they can even extend that if you call them) at www.minitab.com. If your objective is to do statistics with less sweat, then MINITAB should be looked at. If your objective is to get slick graphics, but work hard, then check out Statistica. I think both JMP and MINITAB are about the same price - I think Statistica will be quite a bit more expensive. AJ wrote: I am interested in opinions on the Statistica package. I have always used SPSS, but now that I need to buy my own program, I am intrigued by Statistica. Not surprisingly, their ads are very compelling. I need a general, broad-based package with basic stats, GLM, regression, survival analysis, and graphics. I have used SPSS since the mainframe days, but I am Statistica (and Systat) appear to provide excellent value. I am a behavioral science researcher with a moderate to strong background in applied multivariate analysis (not a statistician). Any comments? Thanks. -- Al J. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Nested Models and HLM
On Fri, 8 Sep 2000, Magill, Brett wrote: Is there a difference between a Nested Model in general and what is referred to as a hierarchical linear model? On my understanding that "hierarchical linear model" is the same as "multilevel model", a nested model is in general a particular instance of a hierarchical or multilevel model. However, the standard programs I know of for performing ANOVA on nested models do not in general estimate the covariances between levels of the design; and these are explicitly modelled (or are explicitly assumed not to exist) in multilevel modelling. So one ought not to expect the _analysis_ of a nested model (by your favourite statistical package's ANOVA or GLM routine) to yield the same results as a properly hierarchical analysis. -- DFB. Donald F. Burrill [EMAIL PROTECTED] 348 Hyde Hall, Plymouth State College, [EMAIL PROTECTED] MSC #29, Plymouth, NH 03264 603-535-2597 184 Nashua Road, Bedford, NH 03110 603-471-7128 = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
