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IT Workforce Project Methodology

Gender & IT Education. IT Workforce Project Methodology. ITWF Project CoPIs: Jean C. Robinson Manju Ahuja Susan C. Herring Chris Ogan Indiana University, Bloomington. Gender and IT Education Conference, Indiana University, 2007. Study Units. Selection criteria:

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IT Workforce Project Methodology

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  1. Gender & IT Education IT Workforce Project Methodology ITWF Project CoPIs: Jean C. Robinson Manju Ahuja Susan C. Herring Chris Ogan Indiana University, Bloomington Gender and IT Education Conference, Indiana University, 2007 Gender and IT Education Conference, Indiana University, 2007

  2. Study Units • Selection criteria: • R1 public universities in the US with • a CS unit and at least two of: • Informatics, Info School/LIS, Instructional Systems Technology, Management Info Systems Gender and IT Education Conference, Indiana University, 2007

  3. Human Subjects Approvals • Requested and obtained from IUB's Human Subjects Committee for all stages of the project • Also from University of Michigan and the University at Buffalo, as required by their Institutional Review Boards Gender and IT Education Conference, Indiana University, 2007

  4. Data Collection Methods • Web survey of all UG majors and graduate students in the 18 study units, Spring 2004 • 1,768 responses : 52.1% males, 33.6% females, 14.3% unknown • Telephone survey of faculty, administrators, and staff in the 18 study units, Fall 2004 • 280 people interviewed (56% faculty, 31% admin, 13% staff/other): 168 males and 112 females • Oral interviews (40-60 minutes) with students in each of the 18 units, conducted three times at one-year intervals, between Spring 2005 and Spring 2007 • First two rounds conducted face-to-face on the students' campus by a male interviewer; third round conducted by telephone by a female interviewer • Oversampling for women at a ratio of 2:1, 168 individuals were interviewed: 109 females and 59 males Gender and IT Education Conference, Indiana University, 2007

  5. Data Collection Methods (cont) Indicators of "women-friendliness" at three levels of institutional culture Gender and IT Education Conference, Indiana University, 2007

  6. Data Analysis Methods • Quantitative and statistical analysis of results of Web and phone surveys using SPSS • Qualitative and descriptive analysis of oral interviews • Students' answers coded using N6 and ATLAS.ti • Content analysis of open-ended survey questions and gender representation on the websites of the 18 study units • Summarization of materials collected from national organizations and campus and departmental programs re: gender and IT Gender and IT Education Conference, Indiana University, 2007

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