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Welcome to Communication 156I, Qualitative Communication Inquiry Wiki

Fall 2011 Hybrid Edition


You do not need to logon to view this website!

 Use Sidebar for navigation >>>

Class Bulletins (9/12):


Here is a link to the new draft of the proposed revision of the Ethics Guidelines for Online Research for the Association of Internet Researchers : http://aoirethics.ijire.net/


Wiki Spam?

In the upper right hand corner you see your email address - click the link that says "account." This takes you to your profile and home pages. Click on "home" and under preferences select "never" or you will get email updates every time some edits the class wiki - which will be very irritating. Click on the "workspace" link to get back to the class wiki.


Email the instructor!

Welcome Video

Click on YouTube to see video with close captions












Map/Guide to Course Resources

Please see the orientation video below and the Orientation Workshop page for details.


This wiki is the official course website for Comm 156I. It contains:

• course schedule

• syllabus

• workshops

• links to other resources


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Course Communication

If you need to contact the instructor use the course email address comm156@gmail.com. Please email the instructor ASAP so you can get access to the comments feature on this wiki.


Primary communication for this course is through the course Google Groups listserv. This is how I will send course information to you. Once you email me I will sign you up.


You can also make an appointment to see me during office hours (Th 1:30-3:00).


The Desire2Learn website is for activities that require confidentiality. To access it, you need to go to the sign-in page https://sjsu.desire2learn.com. It contains:

• quizzes

• grades

The Word: Homphily (love of the same). In research, this is the tendency to gravitate to those things we are the most familiar with and to questions and answers that reinforce our own likes, dislikes, culture, attitudes, tendencies, and bias. Social science is one method of inquiry that seeks to systemitize our research in such a way to blunt homophilia.

Subjectivity and Objectivity in Numbers

Statistics and other quantitative measures are often perceived as "objective," more "real," or more reliable and less "squishy" than qualitative analysis.  However, what is measured, how it is measured, what types of questions are asked (or not), and how the data is interpreted are very subjective. The graphic (p. 46) below is based on U.S. Governent data and was created for the article Numbers Racket: Why the Economy is Worse than We Know for the May 2008 issue of Harpers.  This part of the article discussed how the basis for unemployment statistics has been amended over time and is artificially low because of who is counted (or not) and how they are represented.  The numbers look good (or at least better) if you choose to exclude certain people from being counted (those who who are long-term unemployed, or under-employed, and those who new workers who had been looking for work for less than year). The part of the graph in black would seem to tell a very straight forward story and would lead you to certain conclusions if you were unaware of the rest of the graph/data.



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