IBM SPSS Amos All Package
IBM SPSS Amos Package
IBM SPSS Amos Package implements the general approach to data analysis known as structural equation modeling (SEM), also known as analysis of covariance structures, or causal modeling. This approach includes, as special cases, many wellknown conventional techniques, including the general linear model and common factor analysis.
IBM SPSS Amos Package (Analysis of Moment Structures) is an easy-to-use program for visual SEM. With Amos, you can quickly specify, view, and modify your model graphically using simple drawing tools. Then you can assess your model’s fit, make any modifications, and print out a publication-quality graphic of your final model. Simply specify the model graphically (left). Amos quickly performs the computations and displays the results (right).
Operating System: Windows, Mac OS, Linux
Product language: Multilanguage
System: 64 bit
- IBM SPSS Amos User Guide.pdf
- Prosedur Installasi dan Aktifasi Software IBM SPSS Statistics v .pdf
- Kebijakan Lisensi SPSS multiple authorized user .pdf
Introduction IBM SPSS Amos Package
Remember your first statistics class when you sweated through memorizing formulas and laboriously calculating answers with pencil and paper? The professor had you do this so that you would understand some basic statistical concepts. Later, you discovered that a calculator or software program could do all of these calculations in a split second.
This tutorial is a little like that early statistics class. There are many shortcuts for drawing and labeling path diagrams in Amos Graphics that you will discover as you work through the examples in this user’s guide or as you refer to the online help. The intent of this tutorial is to simply get you started using Amos Graphics. It will cover some of the basic functions and features of IBM SPSS Amos Package and guide you through your first Amos analysis.
Once you have worked through the tutorial, you can learn about more advanced functions from the online help, or you can continue to learn incrementally by working your way through the examples.
You can find the path diagram created in this tutorial in the file %amostutorial%\Startsps.amw. That file makes use of a data file in SPSS Statistics format. The same path diagram can also be found in %amostutorial%\Getstart.amw, which uses data from a Microsoft Excel file.
Amos in IBM SPSS Amos Package provides toolbar buttons as well as keyboard shortcuts that perform many of the same tasksthat can be performed from the menu. This user’s guide emphasizesthe use of the menu. See the online help for more information about the use of toolbar buttons and keyboard shortcuts.
Structural equation modeling (SEM) is sometimes thought of as esoteric and difficult to learn and use. This is a complete mistake. Indeed, the growing importance of SEM in data analysisislargely due to its ease of use. SEM opensthe door for nonstatisticians to solve estimation and hypothesis testing problems that once would have required the services of a specialist.
IBM SPSS Amos Package was originally designed as a tool for teaching this powerful and fundamentally simple method. For this reason, every effort was made to see that it is easy to use. Amos integrates an easy-to-use graphical interface with an advanced computing engine for SEM. The publication-quality path diagrams of Amos provide a clear representation of models for students and fellow researchers. The numeric methods implemented in Amos are among the most effective and reliable available.
In this IBM SPSS Amos Package Installer, Amos provides the following methods for estimating structural equation models:
- Maximum likelihood
- Unweighted least squares
- Generalized least squares
- Browne’s asymptotically distribution-free criterion
- Scale-free least squares
- Bayesian estimation
When confronted with missing data, Amos in IBM SPSS Amos Package performs estimation by full information maximum likelihood instead of relying on ad-hoc methods like list wise or pairwise deletion, or mean imputation. The program can analyze data from several populations at once. It can also estimate means for exogenous variables and for intercepts in regression equations.
The program makes bootstrap standard errors and confidence intervals available for all parameter estimates, effect estimates, sample means, variances, covariance, and correlations. It also implements percentile intervals and bias-corrected percentile intervals (Stine, 1989), as well as Bollen and Stine’s (1992) bootstrap approach to model testing.
Multiple models can be fitted in a single analysis. Amos examines every pair of models in which one model can be obtained by placing restrictions on the parameters of the other. The program reports several statistics appropriate for comparing such models. It provides a test of uni-variate normality for each observed variable as well as a test of multivariate normality and attempts to detect outliers.
IBM SPSS Amos Package accepts a path diagram as a model specification and displays parameter estimates graphically on a path diagram. Path diagrams used for model specification and those that display parameter estimates are of presentation quality. They can be printed directly or imported into other applications such as word processors, desktop publishing programs, and general-purpose graphics programs.
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