Structural Equation Modeling With Lisrel, Prelis, and Simplis

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A01=Barbara M. Byrne
applied quantitative research
Asymptotic Covariance Matrix
Author_Barbara M. Byrne
Category=JHBC
Category=UGK
Category=UMX
Correlated Uniqueness Model
covariance structure analysis
covariances
cross-validation
data screening techniques
Data Set
ECVI
EE
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
error
Error Covariances
expected
FI PH
file
Fit Index
FR Lx
FR PH
full
Full Structural Equation Model
Independence Model
index
input
Input File
ITEM2 ITEM3 ITEM5 ITEM6 ITEM7
line
LISREL Input
LISREL Input File
LISREL Output
LISREL Program
LISREL SEM practical guide
MO Line
model fit evaluation
modification
multigroup comparison
Multigroup Model
Phi Matrix
Polychoric Matrix
psychological measurement
Raw Data
SC Factor
SIMPLIS Input File

Product details

  • ISBN 9780805829242
  • Weight: 950g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Mar 1998
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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This book illustrates the ease with which various features of LISREL 8 and PRELIS 2 can be implemented in addressing research questions that lend themselves to SEM. Its purpose is threefold: (a) to present a nonmathmatical introduction to basic concepts associated with SEM, (b) to demonstrate basic applications of SEM using both the DOS and Windows versions of LISREL 8, as well as both the LISREL and SIMPLIS lexicons, and (c) to highlight particular features of the LISREL 8 and PRELIS 2 progams that address important caveats related to SEM analyses.

This book is intended neither as a text on the topic of SEM, nor as a comprehensive review of the many statistical funcitons available in the LISREL 8 and PRELIS 2 programs. Rather, the intent is to provide a practical guide to SEM using the LISREL approach. As such, the reader is "walked through" a diversity of SEM applications that include both factor analytic and full latent variable models, as well as a variety of data management procedures.

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