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Statistical Software Tutorials

The tutorials presented here comprise a general inroduction to each software package. Each tutorial is not intended to be a substitute for a full semester course on the topic of interest, nor is it intended to replace the software documentation. Complete manuals for most programs are available for check out through the University of Texas PCL Library; you can check their availability status through UTNETCAT. Most materials presented in the tutorials were developed for use in brief (three hour) lecture-format workshops, taught every semester to interested UT students, faculty, and staff. For details, see the ACITS training schedule. More tutorials may be found in our World Links section.


AMOS
The AMOS (Analysis of Moment Structures) software program features a powerful, yet easy to use graphical interface. It is designed primarily for structural equation modeling and similar analyses (e.g., path analysis, confirmatory factor analysis), though it can also be used to fit MANOVA, MANCOVA, ANOVA, ANCOVA, and regression models.
 
HLM
HLM (Hierarchical Linear Models) are used for analyzing data in a clustered or "nested" structure, in which lower-level units of analysis are nested within higher-level units of analysis. For example, students are nested within classrooms, which are nested within schools. While experimenters are often not interested in the effects of a particular classroom or school when they are examining the effects of a classroom intervention, these units potentially have an effect on the outcome of the study that should be accounted for in a statistical model. The program can be used to analyze a variety of questions using either categorical or continuous dependent variables.
 
PRELIS and LISREL
PRELIS and LISREL are designed primarily for structural equation modeling and similar analyses (e.g., confirmatory factor analysis and path analysis), though it can also be used to fit ANOVA, ANCOVA, MANOVA, and MANCOVA models. Also, it be used to perform regression analysis and some multilevel or hierarchical linear modeling (HLMs).
 
Mplus
Mplus is primarily designed for conducting exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. The program can also handle multiple group analysis and multilevel SEM.
 
SAS
Over the years SAS has developed a reputation of being a powerful and full-featured package for general statistical analysis. The new release of SAS (version 8) has a number of new features that promise to make SAS more user-friendly. In particular, the current version of SAS has a substantially enhanced windows-driven interface which allows you to point and click your way through many tasks that previously required knowledge of SAS programming syntax.
 
SPSS
  • Getting Started: introduces readers to the SPSS for Windows environment, and discusses how to create or import a dataset, transform variables, manipulate data, and perform descriptive statistics.
  • Descriptive and Inferential Statistics: describes the use of SPSS to obtain descriptive and inferential statistics. In this module, you will be introduced to procedures used to obtain several descriptive statistics, frequency tables, and crosstabulations in the first section. In the second section, the Chi-square test of independence, independent and paired sample t tests, bivariate and partial correlations, regression, and the general linear model will be covered.
  • Displaying Data: describes the use of SPSS to create and modify tables which can be exported to other applications. Graphical displays of data are also discussed, including bar graphs and scatterplots as well as a discussions on how to modify graphs using the SPSS Chart Editor and Interactive Graphs.
  • Data Manipulation and Advanced Topics: describes the use of SPSS to do advanced data manipulation such as splitting files for analyses, merging two files, aggregating datasets, and combining multiple tables in a database into an SPSS dataset. Several advanced topics are also included, such as the use of SPSS syntax, the SPSS Visual Basic editor, and SPSS Macros.


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