ED 690
 

Details for Content Analysis
Agenda

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Collecting Data: content or document analysis

One robust way to collect data is the content or document analysis. In general, this is a strategy that supplements other data gathering techniques.

Content analysis is a technique that enables researchers to study human behavior in an indirect way, through an analysis of their communications. It is just what its name implies: the analysis of the ... written contents of a communication. Textbooks, essays, newspapers, novels, magazines, articles, cookbooks, songs, political speeches, advertisements, pictures [even artwork] -- in fact, the contents of virtually any type of communication can be analyzed.
 

In class, we'll use different types of rubrics and checklists to review varied materials (songs, news websites, WebQuests, chat transcripts, instructor guides) -- and at the close of the evening we'll see where the process has led us!

We'll take a few minutes to explore the content analysis that (EdTec grad) Douglas Scott conducted for SeaWorld.

Here is another article about content analysis. You can consider this optional reading, though reading it will be time well spent. Also, here is an extra article with good information about sample coding strategies. You can once again consider this optional; however, those of you are becoming keen on research will get much from it.

 

 

 

 

 

 

 

 
 
 
SELF-Study Materials (Survey): We'll practice writing different kinds of items ... and "judge" their quality; our "source material" will be surveys we have received in the mail as well as those developed by the previous 690 class.
So: first take a look at the PRESENTER SURVEY that former students designed (to measure their classmates' reaction to guest speakers in the classroom).

Then: look at the standard analysis that an online survey generator (such as Zoomerang or SurveyMonkey) provides.

Finally: read through the beginning of a report of findings to see how survey results are reported.

Two questions to ponder:

How do surveys (as evaluators use them) compare to political and marketing polls?

How can a review of the literature help you develop better (and more focused) surveys?