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

By Barbara M. Byrne

A Primer of LISREL represents the 1st entire advisor to using LISREL computing device programming in analyses of covariance constructions. instead of writing for the specialist statistician, Dr. Byrne attracts examples from her personal examine in supplying a pragmatic advisor to purposes of LISREL modeling for the unsophisticated consumer. This booklet surpasses the opposite theoretically bulky manuals, because the writer describes methods 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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Extra info for A Primer of LISREL: Basic Applications and Programming for Confirmatory Factor Analytic Models

Example text

Equivalent to RS, EF, and VA. Print modification indices. Print factor scores regression. Print first derivatives. Print standatdized solution. Print all output. No automatic start values. Print with 80 characters per record; default: 132 characters. Number of decimal places to be printed (0-8); default: ND=3. Maximum number of CPU-seconds allowed for problem; default: TM=60. The meaning and interpretation of the optional output are discussed as they relate to specific applications as presented in subsequent chapters.

01. 56. 2, the MIs are accorded different values when the LISREL VI program is used. This is because only the diagonal elements in the TD matrix are considered (the off-diagonals are not taken into consideration). However, if the error-covariance matrix is specified as TD=SY,FI, with all the diagonal elements (TDl,I-TDll,ll) specified as free parameters (which represents an equivalent specification), the MIs are identical to those estimated by the LISREL V version when the TD matrix is specified as a diagonal matrix (TD = DI).

It is important, however, to relax only one parameter at a time. Although the LISREL VI program provides an option for automatic model respecification based on the MIs, this is never a wise option and is definitely not recommended. Only the researcher is capable of judging the balance between statistical and substantive model fit. Thus, model respecification must remain the decision of the researcher and not of the LISREL program. 4In the most recent version of LlSREL (LlSREL VII) the term "standardized residuals" is used.

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