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SSDS News

July 12, 2016

An Introduction to the Economic Census Data of China

Join us for a webinar on Aug 03, 2016 at 1:00 PM EDT.

Register now!

https://attendee.gotowebinar.com/register/8951216896574508036

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May 23, 2016

Come by for our R basics open lab!

When: Thursday, May 26, 5:00-6:30pm

Where: The Velma Denning Room (120F); first floor, Green Library Bing Wing

RSVP here

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May 11, 2016

SSDS Drop-in Workshop

Using Dedoose for Qualitative and Mixed Methods Research

When:  Wednesday, May 25, Noon-1pm. 

Where: The Velma Denning Room (120F).  First floor, Green Library Bing Wing

RSVP: consult-ssds@lists.stanford.edu

Learn how to use Dedoose, a Web application that works with Windows or Mac, to analyze your qualitative or mixed methods research with text, photos, audio or video, and spreadsheet data.

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May 2, 2016

In this three-part workshop series, SSDS software consultants will cover getting started, data cleaning & management, correlations,  t-tests, other statistical tests, regression analysis, graphing, and other advanced topics.

For more information about times, location, workshop materials, and registration, please see SSDS Workshops.

 

April 21, 2016

When: August 8-9, 2016

Where: Ann Arbor, MI

Application deadline: June 10, 2016

Applications are competitive. A limited number of travel stipends will be awarded.

To apply, visit our course page

Click here for a PDF of this announcement.

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April 19, 2016

Introduction to R
When: Monday, April 11, 11:30a-1:00p
Where: Green Library East: Information Center Classroom (Room 166).
Topics Covered:
Objects; Functions; R Packages; Reading Data; Transforming Data; Analyzing Data; Introduction to Graphics

Please come prepared to follow along with your laptop, and download these links prior to the session:

March 31, 2016

Learn about research while eating your lunch!  Lunch & Learn is a set of informational workshops for graduate students (and others) to learn or brush up on research tools commonly used for social science research at Stanford. 

Location: McClatchy Hall Bldg. 120, Room 101B (Mendenhall B)

All sessions from 12:00 noon to 1:30pm.  Students with 1:15 classes may leave early

This is a brown bag seminar (bring your own lunch) and no RSVP is required.

March 21, 2016

Social network analysis is a strategy for investigating social structures through the use of network and graph theories. It characterizes networked structures in terms of individuals or things within the network and the relationships or interactions that connect them.

Analyzing Social Networks

March 21, 2016

Improving the reproducibility of quantitative research:

a hands-on workshop

 

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