妻友社区

妻友社区 - I Banner
An aerial view of 妻友社区's Moscow campus.

Virtual Tour

Experience 妻友社区 with a virtual tour. Explore now

A student works at a computer

SlateConnect

U of I's web-based retention and advising tool provides an efficient way to guide and support students on their road to graduation.

Contact

Physical Address:
Brink Hall 300

Mailing Address:
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

Phone: 208-885-6742

Fax: 208-885-5843

Email: mathstat@uidaho.edu

Web: Department of Mathematics and Statistical Science

SPSS Resource Links

Introductory Material

A short tutorial by the University of Wisconsin Social Science Computing Cooperative on the basics of SSPS, which includes an informative introduction of the different windows (data editor, syntax editor and output viewer) and the file types used in SSPS.SPSS for the Classroom: The Basics

A detailed tutorial that introduces the user to the SSPS for windows environment, including the use of the windows used in SSPS (data editor, syntax editor and output viewer). Other topics include how to load data into SSPS using an external file and modifying data once in SSPS.

A series of 8 short videos by ResearchbyDesign designed for those who are brand new to SSPS. The interactive videos walk the user through the creation of a dataset to compute descriptive statistics and simple statistical tests.

Loading data into SSPS

Various examples from Kent State University Library of how to load data into SSPS, including SSPS data files (.sav), excel, csv and text files. Examples illustrate how to import data using SSPS syntax and import wizard.

Brief tutorial that introduces the basics of importing data into SSPS and how to inspect, label, sort and merge data.

A useful video from ResearchbyDesign on how to import Microsoft Excel files into SSPS.

Manipulating and modifying data in SSPS

A detailed tutorial from the University of Texas showing how to split/merge files, aggregate data and import. Other advanced topics are covered, such as scripting in Visual Basic and creating macros.

Brief overview of how to compute new variables and to recode existing variables into new variables.

A short video on how to restructure from wide to long form in SPSS presented by Scott Parrott.

This video produced by Dr. Murtaza Haider at Ryerson University demonstrates creating new variables, recoding, filtering and subsetting data in SPSS.

Adding new variables, declaring missing values, recording variables in SPSS, by Patricia Jenkinson

Graphs, Plots and Charts in SSPS

Tutorial that shows how to create scatter plots, bar plots box plots and histograms using ggraph commands. This is an integrated point and click interface that creates basic plots and allows the user to modify and save out output to different file types using GPL code. This tutorial is part of the UCLA SPSS learning modules described above.

Graphing tutorial for Social Sciences and Psychology students, with a worked through example.

This video by Dr. Todd Grande demonstrates how to create and interpret boxplots using SPSS.

Linear Models in SSPS

A detailed tutorial covering simple and multiple linear regression procedures in SSPS, by the Institute for Digital Research and Education at UCLA. 

This guide lays out how to carry out a simple linear regression and interpret the printed output.

A visual explanation by David Longstreet on how to calculate a regression equation using SPSS. The video explains r-squared, standard error of the estimate and coefficients.

Analysis of Variance (ANOVA) in SSPS

A great introductory tutorial on how to conduct a one-way ANOVA.

A great introductory tutorial on how to conduct a two-way ANOVA.

This tutorial will show how to conduct a two-way ANOVA in SPSS and interpret the printed output.

This video produced by The Doctoral Journey demonstrates how to conduct a one-way ANOVA in SPSS.

Contact

Physical Address:
Brink Hall 300

Mailing Address:
875 Perimeter Drive, MS 1103
Moscow, ID 83844-1103

Phone: 208-885-6742

Fax: 208-885-5843

Email: mathstat@uidaho.edu

Web: Department of Mathematics and Statistical Science