maximum likelihood factor analysis
A self-report scale was constructed to measure work ethic and included three conceptually derived components of work ethic. Maximum likelihood factor analysis was then applied with the request of 3 factors to determine if the conceptually derived components actually represent empirical factors. Is this an appropriate/acceptable manner of evaluating the factor structure of the scale? Also, my version of SPSS (6.0) reports percent of variance accounted for by each factor, but doesn't indicate if this is common variance or total variance. Does someone know which variance is reported. Is maximum likelihood factor analysis used with either principle components or principal factors analysis? I would appreciate any explanation someone might offer. I have had difficulty finding any explanation on the web concerning these issues. Kary Sent via Deja.com http://www.deja.com/ Before you buy. === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Suggestions for book of probability exercises?
Hi - I was wondering if anyone out there had any
recommendations for a book of probability exercises to use as
a supplement to a probability textbook. I teach a first
course in calculus-based (not measure-theoretic) probability,
and I'm very happy with the textbook I'm using ("Fundamentals
of Probability" by Ghahramani), but students have asked me if
I could recommend a supplementary book of exercises with solutions
from which they could practice problem solving. I think having
access to such a book would be a great help for students.
Much appreciation in advance...
- Mark
--
Prof. Mark E. Glickman tel: (617) 353-5209
Dept of Math and Statisticsfax: (617) 353-8100
Boston University
111 Cummington Street
Boston, MA 02215 http://math.bu.edu/people/mg
===
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
===
Re: Helo;-(((( Can not find minimal sufficient statistics for logistic distribution;-(
In article [EMAIL PROTECTED], AngelNochek [EMAIL PROTECTED] wrote: Helo;- Can not find minimal sufficient statistics for logistic distribution;-( I don't have a general method on finding minimal sufficient statistics, please, help explaining. Thank you. This problem keeps coming up, not necessarily for this distribution. One way to attack it is to note that a statistic is pairwise sufficient if and only if the ratio of the densities for two states of nature is a function of the statistic except for probability zero, and that if the distributions have densities with respect to a well-behaved measure, this is equivalent to sufficient. So anything one can compute from the ratio of likelihood functions must be determined from any sufficient statistic. In this problem, this can be used to find the minimum sufficient statistic. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399 [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Mathematica 4.0 Student Edition for Win9x/NT $158
We offer a complete range of Mathematics software from Wolfram Research for Students, Faculty and Staff of recognized educational institutions -- K-12 to Higher Education. Academic ID required. Some other popular titles we offer include -- 1. Mathematica 4.0 Student Edition for Win9x/NT$158 2. Mathematica 4.0 Professional for Win9x/NT $878 3. Calculus Wiz for Win9x/NT $46 ** (PA residents add 6% sales tax) ** Requires Mathematica 3.0 or higher - student or professional edition. The Mathematica 4.0 Student Edition may only be purchased by currently registered students. Faculty, staff members and educational institutions are not eligible to buy the Mathematica 4.0 Student Edition. The student edition is a full-featured, complete package and includes all manuals and documentation. Faculty and staff members, and institutional customers may purchase the Mathematica 4.0 Professional pack. Free UPS Ground shipping for all orders placed online from our website. Place your order at www.genesis-technologies.com = Genesis Technologies Inc. is an Authorized Academic Software Reseller. We carry an extensive range of software products -- over 70 publishers and 1800 titles -- including Adobe, AutoDesk, Borland, Caere, Caligari, Claris, Corel, Diehl Graphsoft, Fractal Design, IBM Software, Intuit, Lotus, Macromedia, Mathsoft, McAfee, Metatools, Microsoft, Newtek, QuarterDeck, Specular, Waterloo Maple, Wolfram Research, Xerox and several other leading publishers. Visit us on the web at www.genesis-technologies.com for our complete product listing and pricelist, special promotions and value bundles, information on how to buy and more place your order online and get free shipping by UPS Ground!! To qualify for these special prices, you should be a Full- or Part- Time student, faculty or staff member at an educational institution (K-12 or higher). We accept Visa, Mastercard, Discover and American Express. We do not charge a surcharge on credit card orders. We also ship UPS COD -- COD charges of $5 per shipment would apply. For more information, or to place an order, e-mail -- or contact -- Genesis Technologies Inc Toll Free : 800-433-6326 Fax : 814-231-0371 E-Mail : [EMAIL PROTECTED] Web Site : http://www.genesis-technologies.com = === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
SPSS SigmaPlot 2000 6.0 for Win9x/NT $481
We offer a complete range of statistics and graphing software from SPSS for Students, Faculty and Staff of recognized educational institutions. Academic ID required. Some other popular titles we offer include -- 1. SPSS SigmaPlot 2000 6.0 for Win9x/NT $481 2. SPSS SigmaPlot 2000 6.0 for Win9x/NT Upgrade $229 3. SPSS SigmaStat 2.0 for Win9x/NT $431 4. SPSS SigmaStat 2.0 for Win9x/NT Upgrade $199 5. SPSS SigmaScan Pro 5.0 for Win9x/NT $940 6. SPSS TableCurve 2D 4.0 for Win9x/NT $478 7. SPSS TableCurve 3D 3.0 for Win9x/NT $478 8. SPSS Systat 9.0 for Win9x/NT$754 9. SPSS Systat 9.0 for Win9x/NT Upgrade $289 10. SPSS Systat 9.0 Grad Pack for Win9x/NT $167 ** 11. SPSS Peakfit 4.0 for Win9x/NT $478 12. SPSS SigmaGel 1.0 for Win9x/NT $431 (PA residents add 6% sales tax) ** The SPSS Systat Grad Pack may only be purchased by currently registered students. Faculty, staff members and educational institutions are not eligible to buy the Student Editions. The Systat Grad Pack includes the full-featured complete software on CD-ROM. The pack does not include any hard-copy manuals. However, online documentation is included on CD-ROM. Free UPS Ground shipping for all orders placed online from our website. Place your order at www.genesis-technologies.com = Genesis Technologies Inc. is an Authorized Academic Software Reseller. We carry an extensive range of software products -- over 70 publishers and 1800 titles -- including Adobe, AutoDesk, Borland, Caere, Caligari, Claris, Corel, Diehl Graphsoft, Fractal Design, IBM Software, Intuit, Lotus, Macromedia, Mathsoft, McAfee, Metatools, Microsoft, Newtek, QuarterDeck, Specular, Waterloo Maple, Wolfram Research, Xerox and several other leading publishers. Visit us on the web at www.genesis-technologies.com for our complete product listing and pricelist, special promotions and value bundles, information on how to buy and more place your order online and get free shipping by UPS Ground!! To qualify for these special prices, you should be a Full- or Part- Time student, faculty or staff member at an educational institution (K-12 or higher). We accept Visa, Mastercard, Discover and American Express. We do not charge a surcharge on credit card orders. We also ship UPS COD -- COD charges of $5 per shipment would apply. For more information, or to place an order, e-mail -- or contact -- Genesis Technologies Inc Toll Free : 800-433-6326 Fax : 814-231-0371 E-Mail : [EMAIL PROTECTED] Web Site : http://www.genesis-technologies.com = === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
Re: categorical data analysis
Date sent: Sat, 22 Apr 2000 13:31:50 -0400 (EDT) From: "Donald F. Burrill" [EMAIL PROTECTED] To: Kermit Rose [EMAIL PROTECTED] Copies to: [EMAIL PROTECTED] Subject:Re: categorical data analysis Hello Donald! [ KR: Please post any response to the edstat list as well as to me. I may not have the leisure to continue this conversation, and others on the list may have better advice for you in any case. -- DFB. ] OK. edstat is included on the reply list. To begin with, you have not told us what the professor in criminology is trying to find out, and why; without that information, no-one can offer you (or the professor) useful advice on data analysis. The dependent variable is based on the following question. Recently the problem of overcrowing in the state university system in Florida has been the subject of considerable debate. Some have suggested the elimination of preferential treatment in college admissions as a potential remedy. In your opinion, which of the following groups listed should continue receiving preferential treatment in the admissions process. (1 = yes, 0 = no) q45a athelets q45b national merit scholars (honor students) q45c economically disadvantaged q45d historically disadvantaged q45e children of wealthy benefactors q45f children of university alumni q45g ethnic and racial minorities q45h students with disabilities q45i students with prior criminal records q45j students with unique artistic talents The goal is to determine whether or not a persons choices on the 10 questions is predictable in terms of independent variable values of education, age, race, income, marital status, political party, sex, racial attitudes, etc Your proposed procedure seems unnecessarily cumbersome. So far as I can tell from all that algebra, you're effecitively substituting a whole bunch of 2x2 tables for a single RxC table (R = number of rows, C = number of columns) with R2 and(/or?) C2. Or, for each of several RxC tables. Yes. This is the intent. I wanted to reduce the R by C table to a series of 2 by 2 tables. Why do you not first do the obvious contingency table chi-square to see if there's anything worth following up? (And if I were doing it, the follow-up(s) would be in the RxC format as well.) It is because the dependent variable is multivalued. A person may check 0, 1,2 ,3,4,5,6,7,8,9 or 10 of the preferences. I want to be able to identify which of the choices was checked, not just the number of them. There is no theory for weighing the choices before the analysis is complete. I wanted to construct a method for systematically examing all 1023 possible choices of dependent variable. Your #1 null hypothesis is that two dichotomized variables are independent. I don't believe the test statistic you propose -- more about that later -- but this is the formal null hyp. for the usual contingency table chi square. I can show the derivation of the test statistic. I made a mistype in typing the formula and have given the correct version below. Do you mean that I've stated correctly that the null hypothesis for the chi square test on crosstab is that the variables are independent? The dependent variable is a multivalued categorical variable. So far, so good. The model dependent variable is an interaction variable. It is the interaction of some subset of the 10 two-valued dummy variables representing the dependent variable. The 10 values of the dependent variable are choices of preferential treatment for affirmative action. Here it begins to get sticky. I cannot tell whether you mean the same thing by "interaction" that I would mean. In particular, there seems to be no difference between "interaction variable", in your terms, and "indicator variable", in my terms. I'm not sure what you mean by "indicator variable". I've only seen the term in connection with latent variables in structual equation modeling. I'm pretty sure my use of "interaction" is consistent with your use of "interaction". Suppose I chose the 1st, 3rd, and 5th dependent variables as my subset to represent the model dependent variable. I chose the word "interaction" because I expected readers would know I meant the product of the chosen dependent variables. Since each dependent variable is 0 or 1, the product will be 1 if and only if every one of the chosen dependent variables is 1. That is, I would call the model dependent variable true (meaning = 1) if it corresponded to dependent variables 1,3 and 5 and all three of dependent variables 1,3,5 were equal to 1. For this model I would not care what dependent variables 2,4,6,7,8,9,10 were. When I inplement this in programming I would of course figure out efficient ways to calculate the frequencies. It will not be trivial, but I have a general idea how to do it. The model
Example of transformation of waste materials needed
Wanted: I am looking for examples from science, engineering and everyday life where if you need to add a substance, it is advantageous to transform a waste material to obtain that substance. Please respond by sending an e-mail to [EMAIL PROTECTED] . HtAIACDD === This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===
