Doctoral Support Center & Doctoral Programming Blog

Presentation: Introduction to SPSS

What's SPSS?  SPSS is a computer program widely used for statistical analysis.  If you've ever wanted to learn how to use it, here's your chance.

This Wednesday we're excited to offer a beginning SPSS workshop presented by Katharin Peter. The focus is an introduction to working with the SPSS software. Setting up a database, coding and entering data, and descriptive statistics will be discussed. It will not include any advance analytical techniques.  No previous knowledge of SPSS is assumed.

November 10, 2010 in MRF 204 (3:00 - 4:00 PM) - LiveCast Link

Please RSVP to rsoedsc@usc.edu

 

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You can view recorded webcasts of the above presentations and take part in them yourself by doing the following:

1. Go to the blackboard website at https://blackboard.usc.edu
2. Select User Login:

• Username - enter your USC email username.
• Password - enter your USC email password.
• Once you login, under the section "Course List" select "20061_rsoe_dsc_ns00002: RSOE Doctoral Support Center (DSC)"

3. Click on the left menu button reading "Online Resources"

• note the DSC username and password (you'll need it to get to the programs)
• click the link for the DSC Online catalog
• enter the username and password
• enter "DSC Presentation Webcasts"
• click the link for the presentation you're interested in watching.

All the handouts for the presentations are available via Blackboard in the "Course Documents" section under "Presentations and Handouts."

If you have any questions or just need some support, join the Backboard discussion of the presentations in the "Presentations and Workshops" part of the "Discussion" section.

Having trouble getting access?  Contact the DSC at rossier.dsc@usc.edu.

Announcing: DSC Fall Presentation Line-up

Brush up on your research skills as you learn and refresh your research writing.  Here's the DSC Fall presentation line-up:

Critical Reading Analysis (Dr. Gokce Gokalp)
Wednesday, August 25 (3:00 - 4:00 PM)
Saturday, August 28 (10:00 - 11:00 AM)

Library Resources (Dr. Jade Winn)
Saturday, August 28 (11:00 AM - 12:00 PM)
Wednesday, September 1 (3:00-4:00 PM)

Academic Writing (Dr. Gokce Gokalp)
Wednesday, September 22 (3:00 - 4:00 PM)
Saturday, September 25 (10:00 - 11:00 AM)

APA (Dr. Jade Winn)
Saturday, September 25 (11:00AM - 12:00 PM)
Wednesday, September 29 (3:00PM - 4:00 PM)

Pre-Proposal Methodology (Kevin Collins)
Wednesday, October 6 (3:00 - 4:00 PM)
Saturday, October 9 (10:00 - 11:00 AM)

Post-Proposal Methodology (Dr. Ilda Jimenez y West)
Wednesday, October 20 (3:00 - 4:00 PM)
Saturday, October 23 (10:00 - 11:00 AM)

Introduction to SPSS (Dr. Jade Winn)
Wednesday, November 10 (3:00 - 4:00 PM)

RSVP: rsoedsc@usc.edu
Live Webcast: The Wednesday session of each presentation will be available livecast and via Blackboard.

Locations will be announced when finalized.  The most current information is available here.

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Photo Attribution: http://www.flickr.com/photos/36011007@N04/4018891440/

Presentation: Online Survey With Qualitrics

Learn how to use the online survey collection source by Qualtrics. This tool provides a platform for designing, distributing and evaluating survey results to keep the research process in-house and immediately actionable. Qualtrics is a robust and easy-to-use online survey tool.  It integrates with both SPSS and Microsoft Excel software.

This instrument is free and sponsored by the university and it is extremely helpful with quantitative survey research.  We are very happy to be able to host a presentation on the Qualtrics tool.  Students whose research will utilize surveys should attend this presentation.

Time and place: Wednesday, April 7, 2010, 3:00 pm - 4:00 pm, MRF 204

Please remember to RSVP: rsoedsc@usc.edu

The DSC Qualitrics presentation will also be available online.

Learn How to Use SPSS

SPSS is a computer program widely used for statistical analysis.  If you've ever wanted to learn how to use it, here's your chance. By popular request, ITS is offering a workshop in "really really basic SPSS."

From the ITS website:

When: Monday, Feb. 8, 2010 from 12:00 - 1:50pm

• Location: UPC, Salvatori Computer Science Center, Room 126

• Organizer: AnnMaria De Mars, (213) 740-2840 (Sponsered by: USC ITS)

  RSVP: http://www.usc.edu/its/adventures/rsvp.html

If you want to know how to open Excel files in SPSS, enter data in SPSS, compute basic statistics or make a simple graph, this is the workshop for you.

No previous knowledge of statistics or SPSS is assumed. Class members will create a new SPSS data set, enter data, and create simple reports, graphs and descriptive statistics. They will also open data from SPSS and Excel files and practice using common SPSS features such as creating total scores, creating labels and formats, and checking data quality.

This is a very hands-on workshop with lots of activities and exercises. You won't be lost and you will learn SPSS.

SPSS for Public Policy

In this hands-on workshop, participants will use data from public sources to import Excel files, create and merge SPSS files, compute new variables and perform descriptive and inferential statistical analysis. This workshop was designed for public policy graduate students but is open to all USC students, faculty and staff.

When: Monday, January 25, 2010 : 12:00pm to 1:50pm


Location: University Park Campus, Salvatori Computer Science Center, 126

Sponsored By:
USC Information Technology Services

Organizer: ITS Customer Support Center, (213) 740-2840

RSVP: http://www.usc.edu/its/adventures/rsvp.html

Using data from multiple datasets and formats (i.e., Excel and SPSS) participants will merge files to create an analytic dataset. They will use the menus to compute new variables, then include these variables in data analyses. The format is designed to use public datasets to answer specific questions of interest to public policy graduate students. SPSS features and functions will be taught in a hands-on format with a focus on solving real-life problems.

Descriptive statistics will be computed for use in the sample section of research reports. Bivariate correlations will be computed to compare relationships among dependent and independent variables. Multiple regression and regression diagnostics will be performed to test hypotheses.