At that time it will be helpful to have the full crash log. On your mac, open the "Applications -> Utilities -> Console.app". Review the "Crash Reports" and "Diagnostic Reports" sections looking for files with "spssengine" or "SPSS Statistics" in their names. Right click on these and select "Reveal in Finder". This will allow you to move/copy these log files to a p[lace where you can then send them in with your Support case.
Spss Statistics For Mac
Also in SPSS Statistics V25 is support for Bayesian Statistics, which includes both new syntax and GUI elements that are as easy to run as traditional p-value statistics. Some of the features available within Bayesian Statistics include:
SF State is licensed to use the products, IBM SPSS Statistics and IBM SPSS Amos. SPSS Statistics offers an integrated suite of statistical analysis capabilities, including specialized capabilities suited for large enterprises across various industries. SPSS Amos provides the power to easily perform structural equation modeling to build models with more accuracy than standard multivariate statistics techniques.
This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge.
Additionally a "macro" language can be used to write command language subroutines. A Python programmability extension can access the information in the data dictionary and data and dynamically build command syntax programs. The Python programmability extension, introduced in SPSS 14, replaced the less functional SAX Basic "scripts" for most purposes, although SaxBasic remains available. In addition, the Python extension allows SPSS to run any of the statistics in the free software package R. From version 14 onwards, SPSS can be driven externally by a Python or a VB.NET program using supplied "plug-ins". (From Version 20 onwards, these two scripting facilities, as well as many scripts, are included on the installation media and are normally installed by default.)
SPSS Statistics can read and write data from ASCII text files (including hierarchical files), other statistics packages, spreadsheets and databases. SPSS Statistics can read and write to external relational database tables via ODBC and SQL.
SPSS Statistics launched version 25 on Aug 08, 2017. SPSS v25 adds new and advanced statistics, such as random effects solution results (GENLINMIXED), robust standard errors (GLM/UNIANOVA), and profile plots with error bars within the Advanced Statistics and Custom Tables add-on. V25 also includes new Bayesian Statistics capabilities, a method of statistical inference and publication ready charts, such as powerful new charting capabilities, including new default templates and the ability to share with Microsoft Office applications.[10]
Students, faculty and staff may activate a license of SPSS by connecting the the Palo Alto GlobalProtect VPN (Windows or Mac) and ensuring that the License Authorization Wizard is set to 'Concurrent User' and entering in spss.du.edu as the license server. Please follow the instructions for installing the Palo Alto GlobalProtect VPN (Windows or Mac) .
To use SPSS from home, ensure you are connected to the Palo Alto GlobalProtect VPN (Windows or Mac) and that within the SPSS License authorization Wizard, your license is set to 'Concurrent' and the license manager is spss.du.edu.
SPSS is statistical analysis software and is controlled via a license manager. Our license includes the SPSS Base Package, plus SPSS Advanced Statistics and Regression packages. You must be on the campus network or VPN to use the network license. The current release is 28, which runs on Mac OSX 10.13 and newer. Older versions are available at rcweb.dartmouth.edu/downloads/spss/.
The best way to become proficient at the use of these analysis methods is to combine study of the statistics concepts with the design, creation, and interpretation of actual statistical analyses. Students will regularly analyze and interpret datasets provided for that purpose, as well as design and carry-out exploratory data analyses for a set of data.
Text: Moore, D. S., McCabe, G. P., & Craig, B. A. (2009). Introduction to the practice of statistics (8th ed). New York: W. H. Freeman. Available used online for a tiny fraction of the cost of package at the bookstore.
Data analysis and interpretation: These exercises follow the discussion of a topic in class, encouraging students to practice the implementation and interpretation of the newly learned statistics method or concept. Many of the exercises will require the use of statistical software.
Students will design and create analyses to explore the data in an existing dataset. After completing chapters 1 and 2 related to exploring distributions for variables and the relationships between variables, students will create a proposal to include: a description of the source of the data to be used, specification of the the variables to be analyzed, and a plan for the statistics and graphs to be produced. Using the proposal, students will implement their data analysis plan and write a report to describe the results. Students will do a short presentation of their exploratory data analysis in class. 2ff7e9595c
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