Download IBM SPSS statistical analysis and data mining software at up to 97% off, including Statistics 26, Amos 26, and versions 25, 24, and 23 are also available. Trusted Windows (PC) download IBM SPSS Data Collection 7.0. Virus-free and 100% clean download. Get IBM SPSS Data Collection alternative downloads. Jul 22, 2020. Students who need to perform missing values analysis or categories will require SPSS Premium. Amos is required to perform structural equation modelling. Purchasing Amos alone does not provide access to SPSS Statistics software. For v27 only: Base Grad Packs now include bootstrapping and data preparation capabilities.
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IBM® SPSS® Amos™ is an easy-to-use structural equation modeling (SEM) program that tests relationships between observed and latent (unobserved) variables to quickly test hypotheses and confirm relationships.
If you are looking for a free trial of SPSS Amos, visit the SPSS Amos product page. Complete documentation for IBM SPSS AMOS 26.0 is available on the Knowledge Center
To download a product, go to the IBM Passport Advantage Online (PAO) and follow the instructions. Note, you must be an authorized user to log in. If you are not an authorized user, follow the instructions under “Request Access to PAO.'
After signing in to PAO and accepting the terms and conditions, navigate to the Software Download & Media Access tab.
Select the products using one of the following options:
The required and optional parts for each product will be listed. Use the plus sign icon to expand the files in the download of your choice, or you can download each licensed eAssembly. Each eAssembly contains all of the required and optional downloads needed for a particular product and platform combination. SPSS Amos is only available for Windows and with 32-bit option.
If the product you downloaded requires an authorization or license code/key, log into the License Key Center to generate them. The License Key Center username/password is not the same as your Passport Advantage credentials. If you have forgotten your password or need to request access, follow the appropriate links on the License Key Center sign in page.
Any customer with an active support contract can seek activation assistance by logging a support request online at https://www.ibm.com/mysupport or by phone via links available at www.ibm.com/planetwide.
The following table list all the product and part numbers available for IBM SPSS Amos 26.0:
[{'Business Unit':{'code':'BU053','label':'Cloud & Data Platform'},'Product':{'code':'SSLVC7','label':'SPSS Amos'},'Component':'--','Platform':[{'code':'PF033','label':'Windows'}],'Version':'26.0','Edition':','Line of Business':{'code':'LOB10','label':'Data and AI'}}]
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Modified date:
13 May 2019 Straightforward interface and workflow
IBM SPSS Amos was designed as a tool for teaching structural equation modeling in a way that emphasizes the simplicity that underlies this powerful approach to data analysis. 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.
Graphical and non-graphical model specification
IBM SPSS Amos accepts a path diagram as a model specification and displays parameter estimates 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.
Full information estimation with missing data
When some data values are missing, Amos offers a choice between maximum likelihood estimation or Bayesian estimation instead of ad hoc methods like listwise or pairwise deletion.
Bootstrap
The program makes bootstrap standard errors and confidence intervals available for all parameter estimates, effect estimates, sample means, variances, covariances, 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.
Model comparisons
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.
Group comparisons
Amos can analyze data from several populations at once.
Bayesian estimation
Amos uses an MCMC (Markov chain Monte Carlo) algorithm to perform Bayesian estimation. Bayesian estimation can be used to to avoid negative variance estimates and other types of improper solutions. Citrix access gateway download mac. It can be used to estimate any arbitrary function of the model parameters.
Estimation of means and intercepts
Amos makes it easy to estimate means for exogenous variables and intercepts in regression equations.
Specification search (Exploratory SEM)
Amos's specification search provides a method for systematically specifying, fitting and evaluating a large number of candidate models. In a specification search, some single- and double- headed arrows in a path diagram are designated as optional. Amos fits the model both with and without each optional arrow, using every possible subset of the optional arrows. Tools are provided for choosing among the models on the basis of fit, parsimony, and interpretability.
Data imputation
If your dataset contains missing values, you can use regression imputation to create a new, completed dataset in which the missing values have been filled in with estimated numeric values.
In addition, if your dataset contains missing, censored, or ordered-categorical values, you can use either Bayesian imputation or stochastic regression imputation to create one or more completed datasets in which the missing, censored or ordered-categorical values have been filled in with estimated numeric values.
Analysis of censored data
Amos uses Bayesian estimation to fit models to datasets that contain censored values. It can estimate posterior predictive distributions for censored values, and perform imputation for censored values.
Analysis of ordered-categorical data
Amos uses Bayesian estimation to fit models to datasets that contain ordered-categorical variables. (For example, variables that are scored pass/fail or low/medium/high rather than numerically.) It can estimate the posterior predictive distribution of the numeric variable that underlies a categorical response, and can impute a numeric value for a categorical response.
Mixture modeling
Mixture modeling is appropriate when you have a model that is incorrect for an entire population, but where the population can be divided into subgroups in such a way that the model is correct in each subgroup. Amos allows (but does not require) you to assign some cases to groups before the analysis starts. Amos attempts to learn from any cases that are already classified and then to classify those cases that are not already classified.
User-defined estimands
Amos can estimate any function of the model parameters, complete with bootstrap standard errors, confidence intervals and significance tests.
Amos Student Version Download Mac DownloadGrowth curve analysis
Amos can construct linear growth curve models.
Tests of assumptions
Amos provides a test of univariate normality for each observed variable as well as a test of multivariate normality. It attempts to detect outliers.
Annotated text outputAmos Student Version Download Mac High Sierra
Text output is annotated by popups that provide brief explanations of selected portions of the output.
Extensive online help.
Extensive context-sensitive help is supplied with the program in Microsoft's CHM format (the usual help format for Windows programs). The same help content is provided on this website in a more web-friendly format.
Amos Student Version Download Mac VersionUser's guide with many examplesAmos Student Version Download Mac Os
39 examples in the user's guide show how to use Amos.
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