SPSS is available in UCF Apps
- UCF Apps This link opens in a new window"UCF Apps provides you access to software you need for your coursework from any device, at any time, from any where. Your apps are available on desktops, laptops, tablets and mobile devices."
Statistical Tests
- 100 Statistical TestsCall Number: Reference QA 277 .K35 1999Covers the most commonly used tests with information on how to calculate and interpret results with sample datasets. The information on the limitations of tests has been expanded. All of the most commonly used tests are clarified for researchers in social sciences. Information on how to calculate and interpret results is given with sample datasets and expanded information on the limitations of tests.
Search for Books
- UCF Library Catalog This link opens in a new windowCatalog of the books, media, journals, and other library materials owned by the UCF Libraries.
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LinkedIn Learning
Connect to LinkedIn Learning and log in before selecting the links for specific courses or videos below:
- LinkedIn Learning This link opens in a new windowLinkedIn Learning offers online interactive video-based training on a wide range of topics, including software, design, and business skills. Applications include Adobe, MS Office, open-source applications, multimedia, web development, programming and more!
The UCF subscription to Lynda.com migrated to a new name "LinkedIn Learning" on August 19, 2019. See Migrating to LinkedIn Learning for more information.
- Introduction to Stata 15 (LinkedIn Learning)(4 hours): "In this course, Franz Buscha provides a comprehensive introduction to Stata and its various uses in modern data analysis. Review the various options that Stata gives you in manipulating, exploring, visualizing, and modelling complex types of data. Explore the practical application—and interpretation—of commonly used statistical techniques such as distributional analysis and regression on real-life data."
- SPSS Statistics Essential Training (LinkedIn Learning)(5 hours): "In these tutorials, author Barton Poulson takes a practical, visual, and non-mathematical approach to SPSS. From importing spreadsheets to creating regression models, to exporting charts, this course covers all the basics, with an emphasis on clarity, interpretation, communicability, and application. Barton will help you: Build charts, scatterplots, and box plots -- Calculate descriptive statistics such as means and standard deviations -- Use inferential statistics such as t-tests and chi-squares -- Enter and read data -- Create new variables and crosstabulations -- Model associations with correlations, contingency tables, and multiple-regression analysis -- Format and export presentations to share your data.
Plus, learn how to extend the power of SPSS with Python and R. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work." - SPSS for Academic Research (LinkedIn Learning)(3 hours): "In this course, Yash Patel dives into SPSS, focusing on how to run and interpret data for the most common types of quantitative tests. Topics include t-tests, analysis of variance (ANOVA), and understanding the statistical measurements behind academic research. Review the tenants of qualitative testing, including the central theorem, P values, and confidence intervals, and specific use cases for tests in SPSS. For each type, Yash provides some general guidelines and assumptions, along with a challenge and solution exercise to practice what you've learned."
- Learning R (LinkedIn Learning)(2.5 hours): "Join author Barton Poulson as he introduces the R statistical processing language, including how to install R on your computer, read data from SPSS and spreadsheets, and use packages for advanced R functions."
Rice Virtual Lab in Statistics
- Rice Virtual Lab in StatisticsHyperStat Online -- Online Statistics: An Interactive Multimedia Course of Study -- Simulations/Demonstrations -- Case Studies -- Analysis Lab
Descriptions and Examples for Various Statistical Computing Packages (UCLA)
- Data Analysis Examples (UCLA, IDRE)Institute for Digital Research & Education
provides resources to help you learn and use:
- SAS
- SPSS
- Stata
- Other programs: GPower, HLM, Mplus, R, Stat/Transfer, SUDAAN, WesVar
Data analysis examples -- "illustrating the application of different statistical analysis techniques using different statistical packages. Each page provides a handful of examples of when the analysis might be used along with sample data, an example analysis, explanation of the output, a short sample write-up, followed by references for more information. These pages merely introduce the essence of the technique and do not to provide a comprehensive description of how to use it."
Annotated output -- "These pages contain example programs and output with footnotes explaining the meaning of the output. This is to help you more effectively read the output that you obtain and be able to give accurate interpretations."
Which statistical test? -- "shows general guidelines for choosing a statistical analysis....covers a number of common analyses and helps you choose among them based on the number of dependent variables (sometimes referred to as outcome variables), the nature of your independent variables (sometimes referred to as predictors). You also want to consider the nature of your dependent variable, namely whether it is an interval variable, ordinal or categorical variable, and whether it is normally distributed (see What is the difference between categorical, ordinal and interval variables? for more information on this). The table then shows one or more statistical tests commonly used given these types of variables (but not necessarily the only type of test that could be used) and links showing how to do such tests using SAS, Stata and SPSS."