Charmaz (2006) discusses using extant texts such as existing published and unpublished materials that you did not collect personally in Chapter 2 in her book. She recommends putting the individual sources you are using into their appropriate context by answering the following questions: (1) How was this source of data obtained? (2) Who produced it? (3) What was the purpose of the original researchers who collected the data? (4) Does the meaning in the data reflect their historical, social, and/or organizational context? (5) How was the data structured? (6) What categories can you find within the data? (7) Who benefits from the data? (8) What comparisons can you make between your data sources? (9) How is language used? (10) How does this data relate to other data on the same topic? (11) Are their any unintended meanings within the data?

She also mentions a study she recommends that used archival data by Cynthia Bogard (2001) and highlights how the author situates the data within the historical, social, and geographical context using multiple sources of data such as newspapers, television reports, and research. It may be helpful for you to reference her article as an example,

Bogard, C. (2001). Claimsmakers and contexts in early constructions of homelessness: A comparison of New York City and Washington, D.C. Symbolic Interaction, 24, 425-454.

I would also recommend using Charmaz (2006) for more information regarding grounded theory analysis and methods. You can absolutely code, memo, and use constant comparison with your data.

thanks a lot Ruth. that is a lot of suggestions.

One thing you might think about, which is also discussed by Charmaz (2006) is the concept of "theoretical sampling." With that part of Grounded Theory, you take the insights from your early analysis and then consider which data sources to examine next, in order to challenge or develop your analysis. In other words, your emerging theory guides your further sampling .

So, once you have coded and memoed on a subset of your articles, you should think about how to purposively select the next subset you want to analyze, in light of what you have learned so far.