A Primer of LISREL: Basic Applications and Programming for by Barbara M. Byrne PDF

By Barbara M. Byrne

ISBN-10: 1461388856

ISBN-13: 9781461388852

ISBN-10: 1461388872

ISBN-13: 9781461388876

A Primer of LISREL represents the 1st entire consultant to using LISREL computing device programming in analyses of covariance buildings. instead of writing for the professional statistician, Dr. Byrne attracts examples from her personal examine in delivering a pragmatic consultant to purposes of LISREL modeling for the unsophisticated person. This publication surpasses the opposite theoretically bulky manuals, because the writer describes approaches and examples constructing for the consumer the 1st e-book requiring no complement to the knowledge of causal modeling and LISREL.

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Additional resources for A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models

Sample text

Terminates prematurely). It is recommended, therefore, that the user always enters his or her own start values. These values may be derived from a preliminary run in which only the initial estimates are requested. 10. "'S "'S • Hints In selecting start values: I. " 2. If the program abends, consider the possibility of negative start values for some of the AS and <\>s (covariances). 28 2. Using the LISREL Program 5. Output Specification Decisions regarding output fall into two categories: method of parameter estimation and information related to analyses.

As far as LISREL is concerned, these elements do not exist. (b) If a matrix is specified as DI, one cannot refer to off-diagonal elements. Again, these elements are not stored in the computer. 2. If a matrix is stored as an ID or ZE matrix, one cannot refer to any element in these matrices. This is because neither matrix is stored in the computer. 4. 3, if the model to be analyzed is an all-X CFA model, then only the lambda-X (LX), phi (PH), and theta-delta (TD) ma- 4. Model Specification 23 trices are of interest.

CA· .. )C ;> I( '< ~ K r [ [ I 1 2 3 ~~L! ___ ~~L~ .. 806 46 3. 4. l~~~n! :>C AP I .... :;C :;CAio1:>C 1. 0 1. 3 00 o. a o. a o. 0 2. 4. 944 ~HI ,( K K I<. 881 VARIABLES 48 3. 4. 999 VARIABLES MEASURES OF GOODNESS OF FIT FOR THE WHOLE MODEL CHI-SQUARE WITH 38 DEGREES OF FREECOM IS (PROB. 813 ROOT MEAN SQUARE RESIDUAL IS 2. 4. 033. 0 ___ ~H_Z. 571 50 3. 4. Continued PHI K<;[ 1 K51 2 3 4 KSI lCi I --T~~h! 0 O. : 1. 2a7 O. 811 ~QgH~' 2. 4. 027 - O. 965 -0. ;. 118 52 3. 4. ') ......................

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A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models by Barbara M. Byrne

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