LISREL 8.80
- کاربرد : نرم افزار آماری لیزرل
- نسخه :Version 8.80
- نوع فایل : نرم افزار
- زبان : انگلیسی
- سیستم عامل : Windows 32 & 64 Bit
- تولید کننده : Scientific Software International
- سال تولید : 2018
توضیحات
لیزرل Lisrel مخفف linear structural relations است. نرم افزار تحلیل آماری لیزرل LISREL جهت محاسبات تحلیل عامل و مدل معادلات ساختاری استفاده میشود. نرم افزار لیزرل Lisrel مکمل نرم افزار اس پی اس اس است که در علوم انسانی و علوم اجتماعی استفاده می شود. این نرم افزار کارهای گرافیکی را بهتر از نرم افزار SPSS انجام میدهد.
LISREL یک برنامه کامپیوتری و نرم افزار آماری می باشد که اصولاً برای انجام تحلیل ساختارهای کوواریانسی استفاده می شود که این ساختارها به مدل بندی معادله ساختاری (SEM) نیز معروف می باشند. LISREL محدود به SEM نیست بلکه دامنه گسترده ای از کاربردها را برای تحلیل مدل های آماری گوناگون دارد که در میان آن ها می توان از مدل های خطی تعمیم یافته (GLM) و مدل های سلسله مراتبی و مدل بندی غیر خطی (مدل های رگرسیونی چند سطحی) نام برد.
LISREL یک برنامه کامپیوتری و نرم افزار آماری می باشد که اصولاً برای انجام تحلیل ساختارهای کوواریانسی استفاده می شود که این ساختارها به مدل بندی معادله ساختاری (SEM) نیز معروف می باشند. LISREL محدود به SEM نیست بلکه دامنه گسترده ای از کاربردها را برای تحلیل مدل های آماری گوناگون دارد که در میان آن ها می توان از مدل های خطی تعمیم یافته (GLM) و مدل های سلسله مراتبی و مدل بندی غیر خطی (مدل های رگرسیونی چند سطحی) نام برد.
Description
During the last thirty years, the LISREL model, methods and software have become synonymous with structural equation modeling (SEM). SEM allows researchers in the social sciences, management sciences, behavioral sciences, biological sciences, educational sciences and other fields to empirically assess their theories. These theories are usually formulated as theoretical models for observed and latent (unobservable) variables. If data are collected for the observed variables of the theoretical model, the LISREL program can be used to fit the model to the data.
Here are some key features of "LISREL":
- 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.
Here are some key features of "LISREL":
- 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.
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