LISREL

LISREL/PRELIS - Easy Structural Equation Modeling for Windows New Statistical Applications LISREL for Windows is no longer limited to structural equation modeling (SEM). The latest LISREL for Windows includes the following statistical applications. LISREL for structural equation modeling. PRELIS for data manipulations and basic statistical analyses. MULTILEV for hierarchical linear and non-linear modeling. SURVEYGLIM for generalized linear modeling. CATFIRM for formative inference-based recursive modeling for categorical response variables. CONFIRM for formative inference-based recursive modeling for continuous response variables. MAPGLIM for generalized linear modeling for multilevel data. New in LISREL 8.8 Structured latent curve models The LISREL CO command has been extended to include the exponential (EXP) and natural logarithm (LOG) operators as well as parentheses. This allows LISREL users to fit, for example, the structured latent curve models outlined in Browne (1993). Factor analysis of ordinal variables Classical exploratory factor analysis assumes that the observed variables are continuous. The PRELIS OFA command implements exploratory factor analysis of ordinal variables as described in Jöreskog & Moustaki (2006). Generalized linear models (GLIMs) for multilevel data The new statistical application MAPGLIM fits generalized linear models to multilevel data. Users can select from the multinomial, Bernoulli, Poisson, binomial, negative binomial, Normal, Gamma and inverse Gaussian sampling distributions. The corresponding link functions include the log, cumulative logit, cumulative probit, complementary log-log and logit link functions. Observational Residuals Bollen and Arminger (1991) introduced observational residuals for structural equation models. LISREL 8.8 for Windows allows users to compute observational residuals along with latent variable scores for the latent variables of the model. This implementation is described and illustrated in Jöreskog, Sörbom & Wallentin (2006) Writing parameter estimates, standard error estimates and measures of fit to a PSF The PV, SV and GF keywords on the LISREL OU command or the SIMPLIS LISREL output command have been extended to allow users to save the parameter estimates, standard error estimates and measures of fit to a PSF. This is especially useful for Monte Carlo studies. Changes to the graphical user interface (GUI) The main window of LISREL 8.8 for Windows is now entitled LISREL for Windows. The revised Export Data option on the File menu of the main window allows users to export data to various data formats such as SPSS, SAS, SYSTAT, Statistica, etc. New Features in Version 8.70 for Windows Generalized Linear Models (GLIMs) for complex survey data The new SurveyGLIM module in LISREL 8.7 allows users to select from the multinomial, Bernoulli, binomial, Poisson, negative binomial, gamma, Gauss, and inverse Gaussian sampling distributions. Various link functions, such as the log, cumulative logit, cumulative probit, complementary log-log, and logit are available. SurveyGLIM allows for the analysis of data from a simple random sample or from a complex sample design. In the latter case it is assumed that the population from which the sample is obtained can be stratified into strata. Within each stratum, clusters (primary sample units or PSUs) are drawn and within each stratum-cluster combination, the ultimate sampling units (USUs) are drawn with specified design weights. There is also an option to correct for finite populations, provided that the sampling rates or population sizes are available. Implementation of design weights in the LISREL Multilevel modeling module There has been a growing interest in recent years in fitting models to data collected from surveys using complex sample designs. LISREL 8.7 features an option for users to include sample design weights for the analysis of hierarchical linear models. This makes it possible to specify weights on levels 1, 2 or 3 of the hierarchy. Correct parameter estimates and robust standard errors are produced under complex sampling designs. Implementation of sampling weights for SEM models when data is missing at random In previous versions of LISREL, users were able to compute the appropriate covariance and estimated asymptotic covariance matrices for continuous variables via PRELIS given a normalized weight variable. These matrices are only produced in the case of complete data, or using list-wise deletion in situations where missing data values are present. In version 8.7, it is possible to use design weights to fit SEM models to continuous data with missing values. The easiest way to do this is to define the weight variable once a PSF file is displayed. A full information maximum likelihood (FIML) method is used to obtain the correct parameter estimates and robust standard errors given the sampling weights. Multivariate Censored Regression Univariate regression for a censored response variable is available since LISREL 8.54. In LISREL 8.7, this method is extended to allow for multivariate censored regression. In addition, the appropriate sample covariance matrix for a set of censored variables may be computed and used to fit structural equation models to censored data. Goodness-of-fit statistics Since the release of LISREL 8.52 for Windows, the computation of the chi-square test statistic value for the independence model is based on the normal-theory weighted least squares (NT-WLS) chi-square test statistic value rather than on the minimum fit function chi-square test statistic value. This change implied that the goodness-of-fit statistics, which is based on the chi-square test statistic value for the independence model such as the CFI, NFI, NNFI, IFI, etc., were different and led to numerous inquiries by our LISREL users. As a result, LISREL 8.7 produces an additional file with the file extension “FTB” that contains a listing of these goodness-of-fit statistics based on all four chi-square test statistic values that LISREL 8.7 reports. Changes to the windows/menus/dialogs There are three new options in the Compute dialog box starting with version 8.7 of LISREL. These are: (i) TIME (ii) AUTOLAG/ORDER, (iii) CHISQ(DF) The first option enables users to create a new variable called TIME, that assumes integer values 1, 2, 3, …, ncases. Functions of TIME, for example TIME**2 can also be computed. The second option allows the user to create new variables that assumes the same values than an existing variable, but with a user-specified lag. These new variables are useful in identifying time series processes and for the calculation of lagged correlation matrices. Lastly, one can generate random deviates from a chi-square distribution with a specified number of degrees of freedom. Additions/changes to the dialog boxes of the multilevel module include: (i) No-Intercept option (ii) Select weights list box (iii) Print asymptotic covariances checkbox (iv) Print values of within and between covariance matrices checkbox. Note that the specification of a level-1 ID variable is no longer required. New Features in LISREL 8.54 LISREL estimates recursive and nonrecursive Linear Structural Relationships, both with error-free data and, if there are multiple indicators, with measurement error in exogenous and endogenous variables. LISREL can also be specialized to perform many other types of multivariate analyses, such as factor analysis, multiple regression, path analysis, analysis of mean structures, and multi-sample analysis. Models can easily be specified with the equation oriented command language, SIMPLIS. The SIMPLIS command language for LISREL input is very easy to use and minimizes the possibility of mistakes in the problem setup. The new command language requires only the names of all observed and latent (if any) variables and a specification of the model to be estimated. The model can also be specified, and modified, interactively by adding or deleting paths on screen. No Greek or matrix notation is required! Anyone who can formulate the model as a path diagram can use the SIMPLIS command language (although the conventional LISREL command language may still be used). Version 8 contains the option to impose linear and non-linear constraints on sets of parameters. Included is PRELIS 2 with extensive preprocessing options. It also includes options for estimating multinomial probit models, specification of missing values, and computing bootstrap estimates. New features in LISREL 8.52 Changes have been made to the chi-square indices of fit so that the same chi-square measure is used for both the independence model and the estimated model. Weighted least squares methods are now used in computing the chi-square for the independence model. A number of improvements have been made to the multilevel model, in both input and output. Several problems with previous versions have been fixed in the LISREL, PRELIS, and MULTILEVEL modules, and some interface improvements have been made in both LISREL and PRELIS. A new Student/Demo Edition is available. This edition has the following limits: PRELIS can handle 20 variables maximum LISREL can handle a maximum of 12 observed variables at a time Multilevel analysis is restricted to 12 variables maximum. It can only import ASCII and SPSS SAV (Windows) data files by using the "Import Data in Free Format" selection on the File menu. New features in LISREL 8.50 Structural Equation Modeling with incomplete data: Efficient Full Information Maximum Likelihood (FIML) for incomplete data that are missing at random. Multilevel Structural Equation Modeling with complete and incomplete data. Nonlinear Multilevel Modeling: Two-level nonlinear regression models. Exploratory Data Analysis: Formal Inference-based Recursive Modeling (FIRM) for detecting complex statistical relationships among categorical and continuous variables. Multiple Imputation: Expected Maximization (EM) or Markov Chain Monte Carlo (MCMC) for imputing incomplete data that are missing at random under the assumption of an underlying multivariate normal distribution. PRELIS System Files: LISREL 8.50 for Windows uses a PRELIS System File (*.psf) to store information such as number of observations, number of variables, variable names, type of variable, category labels, missing value codes and the raw data. When opened the .PSF file is displayed in spreadsheet format and a PSF toolbar appears which enables users to make graphic displays, define and compute variables and analyze the data. A *.psf file can now also be specified as part of the LISREL or SIMPLIS syntax. Use of a *.psf file greatly facilitates the ability to draw path diagrams and build syntax interactively. External Data Sources: Import data from numerous external data sources with no limitations on the number of observations and variables, except for those imposed by the computer resources. Additional Graphical Displays: Pie charts, Box-and-Whisker plots and matrix scatterplots. Windows Interface: A 32 bit Windows interface for Windows 95, 98, 2000 and ME supporting long path and file names. Note that Windows 3.1 and 3.11 are no longer supported. Documentation: Revised online Help file covering all new features and a 500 page user's guide describing the LISREL user interface, new statistical features and syntax. LISREL 8.5 also includes the following features introduced in version 8.30 Multilevel analysis (also known as hierarchical modeling, random coefficient modeling, latent curve modeling, or growth curve modeling) available for two- and three-level models. Two-stage least squares (TSLS) estimation Principal component and exploratory factor analysis using all the types of variables PRELIS handles Individual factor scores can be computed for all cases in the sample for the factors estimated in exploratory factor analysis as well as for all latent variables in any estimated LISREL model. Any variable in PRELIS can be transformed to normal scores. For continuous variables in a sample size of 100 or more, say, this transformation effectively transforms a non-normal variable to normality, thus offering better possibilities to handle non-normality in small and moderate samples than previously available methods. Improved algorithms for calculating asymptotic covariance matrices. A path diagram can be exported as a Windows Metafile with the same presentation quality and used in other applications. The completely standardized solution is now available in path diagram. A conceptual path diagram (without any parameter estimates) is available. Data charting has been improved and expanded. Univariate charts and bivariate line and scatter plots are available. You may change about any feature of a graph to your liking and export it as a Windows Metafile with the same presentation quality for use in other applications. The list output can now also be converted to HTML format, next to the RTF format and LaTeX format. The dialog-box interface has been improved and expanded for preparation of PRELIS and Multilevel input files. And the features that were introduced in Version 8.20> Interactive path diagrams Build syntax input from path diagrams Build PRELIS, LISREL, or SIMPLIS syntax interactively Generate LISREL syntax from SIMPLIS syntax and vice versa Import data into PRELIS from about 80 different formats Convert list output to LaTeX or RTF format Robust chi-squares and standard errors Linear and nonlinear constraints on parameters Interval restrictions on parameters Analysis of general covariance matrices that cannot be specified as LISREL models Multiple fit measures Plain English input with the SIMPLIS syntax User Interface Features Interactive path diagrams. Build syntax input from path diagrams. Build PRELIS, LISREL, or SIMPLIS syntax interactively. Convert between LISREL and SIMPLIS syntax. Import data from 80 formats. Convert list output to LaTeX , RTF, or HTML. Export presentation-quality path diagrams to other applications. The completely standardized solution is now available in a path diagram. A conceptual path diagram (without any parameter estimates) is available. Improved and expanded data charting. Univariate charts and bivariate line and scatterplots are available. Change any feature of a graph and export it as a Windows Metafile for use in other applications. The programs are shipped without the printed manuals. These 5 books can be purchased separately, or purchase all 5 together and save $35. System Requirements Windows: Windows 95, 98, NT, ME, 2000, XP, Vista Macintosh: LISREL for the Mac is no longer available. Mac users can run the Windows editions of LISREL using Virtual PC on Power PC Macs (G3, G4, G5 only) or using Windows OS on Intel--based Macs. LISREL Manuals There are five manuals for the Windows version of LISREL and four for the discontinued MAC version (see below); all are available at extra cost. Only the "Interactive LISREL User's Guide" is provided as a PDF file on the Windows CD. Click here for information on how to purchase the printed manuals. LISREL Demonstration Versions Please visit the LISREL Student Editions page to learn more about these versions Books on Structural Equation Models and Related Methods Advanced Structural Equation Modeling An Introduction to Multilevel Modeling Techniques Basics of Structural Equation Modeling Hierarchical Linear Models Interaction and Nonlinear Effects in Structural Equation Modeling Interactive Lisrel: User's Guide Introducing Lisrel Introducing Multilevel Modeling Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis LISREL 8: New Statistical Features (third printing with revisions) LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language LISREL 8: User Manuals LISREL 8: User's Reference Guide Modeling Longitudinal and Multilevel Data Multilevel Analysis Multilevel Analysis: An introduction to basic and advanced multilevel modeling Multilevel Modeling: Methodological Advances, Issues, and Applications New Developments and Techniques In Structural Equation Modeling Prelis 2: User's Reference Guide Structural Equation Modeling Structural Equation Modeling with LISREL, PRELIS, and SIMPLIS Structural Equation Modeling with SIMPLIS Structural Equation Modeling: Concepts, Issues, and Applications Structural Equation Modeling: Foundations and Extensions Structural Equation Modeling: Present and Future Testing Structural Equation Models Using LISREL for Structural Equation Modeling Order Options and Details   Software Package Please Select Software Package LISREL/PRELIS - Version 8.8 (Windows) LISREL - Upgrade from v. 8.7 to 8.8 (Windows) LISREL - Upgrade from prior versions (Windows) Quantity 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Weight 0.75 lbs Price: $0.00  Add to cart

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