Community
Search Options
Search Options
Log in
Skip to main content (Press Enter).
Sign in
Skip auxiliary navigation (Press Enter).
AI and Data Science
Topic areas
AI and DS Skills
Centers for Advanced Studies
Decision Optimization
Embeddable AI
Global AI and Data Science
SPSS Statistics
watsonx Assistant
Watson Discovery
Watson Studio, Watson ML, Watson OpenScale
User groups
Events
IBM TechXchange Conference 2023
Upcoming Events
IBM TechXchange Webinars
All IBM TechXchange Community Events
Participate
Gamification Program
Community Manager's Welcome
Post to Forum
Share a Resource
Share Your Expertise
Blogging on the Community
Connect with Data Science Users
All IBM TechXchange Community Users
Resources
Community Front Porch
AI Learning
IBM Champions
IBM Cloud Support
IBM Documentation
IBM Support
IBM Technology Zone
IBM Training
TechXchange Conference
IBM TechXchange Conference 2023
Highlights and Sneak Previews
Session Catalog
Marketplace
Marketplace
AI and Data Science
Master the art of data science.
Join now
Skip main navigation (Press Enter).
Toggle navigation
Search Options
SPSS Statistics
View Only
Group Home
Discussion
7.9K
Library
259
Blogs
310
Events
1
Members
2.7K
Share
What's New in SPSS Amos 25
By
Douglas Stauber
posted
Thu September 07, 2017 06:35 PM
0
Like
IBM SPSS Amos 25 was released on August 8th, 2017. The new features in version 25:
New Features:
You can perform D-separation analyses.
You can read R data files (*.rds and *.RData files) if R is installed on your computer.
You can execute Amos from within an R program. (This is similar to the ability to execute Amos from the IBM SPSS Statistics main menu.)
You can click File > File Explorer to show the current path diagram (*.amw) file in Windows File Explorer.
Each user gets a separate copy of the example files. A copy of the example files from the User's Guide is placed in each user's Application Data folder. For a user named jim using Amos 25, this folder is located at C:\Users\jim\AppData\Local\AmosDevelopment\Amos\25\Examples.
Environment variables help you locate important Amos folders.
The list of variables displayed by View > Variables in Dataset now shows additional information about each variable, and allows sorting by variable name and variable label.
IBM SPSS Statistics data files (.sav files) can now be viewed in Amos's View Data window even if Statistics is not installed.
Other changes
Support has been discontinued for Lotus data files and for Excel 3 and Excel 4 data files.
SPSS Amos is found in the SPSS Statistics 25 Premium commercial bundle, and is also available to purchase separately. A trial version of Amos 25 is available
here
.
#25
#amos
#SPSS
#SPSSStatistics
4 comments
5 views
Permalink
Comments
Archive User
Fri September 22, 2017 07:20 AM
Kim, H. /Milliarden, R.: Using the Bollen-Stine Bootstrapping Method for Evaluating Approximate Fit Indices. In: Multivariate Behav. Res. 2014 Nov, 49(6): 581–596.
Archive User
Thu September 21, 2017 01:30 PM
"Bootstrapping Goodness of Fit Measures in Structural Equation Models" (Bollen/Stine 1992). They do much more than calculating a p value. Assuming it is possible to calculate a bootstrapped chi square (which is possible) than it should be possible to scale fit coefficients like cfi, tli, rmsea... Regards
Archive User
Thu September 21, 2017 02:07 AM
Robust ML estimation, other than what is currently available through bootstrapping, is on the to-do list, with no ETA at this time.
Could you provide some references on how to perform a bootstrap for fit indices and how to interpret the results. I am pretty sure I know what you mean, and it would be easy to implement in Amos, but any references you can supply would be useful in documenting the procedure in the online help and the user's guide.
Archive User
Sun September 10, 2017 02:23 PM
What absout robust ml estimation? Bootstrapped fit Indices?
IBM Community Home
Browse
Discussions
Resources
Groups
Events
IBM TechXchange Conference 2023
IBM Community Webinars
All IBM Community Events
Participate
Gamification Program
Community Manager's Welcome
Post to Forum
Share a Resource
Blogging on the Community
All IBM Community Users
Resources
Community Front Porch
IBM Champions
IBM Cloud Support
IBM Documentation
IBM Support
IBM Technology Zone
IBM Training
Marketplace
Marketplace
AI and Data Science
Topic areas
AI and DS Skills
Centers for Advanced Studies
Decision Optimization
Embeddable AI
Global AI and Data Science
SPSS Statistics
watsonx Assistant
Watson Discovery
Watson Studio, Watson ML, Watson OpenScale
User groups
Events
IBM TechXchange Conference 2023
Upcoming Events
IBM TechXchange Webinars
All IBM TechXchange Community Events
Participate
Gamification Program
Community Manager's Welcome
Post to Forum
Share a Resource
Share Your Expertise
Blogging on the Community
Connect with Data Science Users
All IBM TechXchange Community Users
Resources
Community Front Porch
AI Learning
IBM Champions
IBM Cloud Support
IBM Documentation
IBM Support
IBM Technology Zone
IBM Training
TechXchange Conference
IBM TechXchange Conference 2023
Highlights and Sneak Previews
Session Catalog
Marketplace
Marketplace
Copyright © 2019 IBM Data Science Community. All rights reserved.
Powered by Higher Logic