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Using Data in Your College Admission Counseling Program

Using Data in Your College Admission Counseling Program. MASCA Fall Conference October 23, 2007. Agenda. Why do we use data Types of data Collecting data Analyzing data Reporting of data Evaluation of program Cautions about using data Questions & conversation. Why Do We Use Data?.

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Using Data in Your College Admission Counseling Program

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  1. Using Data in Your College Admission Counseling Program MASCA Fall Conference October 23, 2007

  2. Agenda • Why do we use data • Types of data • Collecting data • Analyzing data • Reporting of data • Evaluation of program • Cautions about using data • Questions & conversation

  3. Why Do We Use Data? • It improves our programs and the services for students and families • Students benefit from it • You probably already have it • Others are using it • We are accountable • Why not?

  4. Types of data • Placement data • Student name • Gender • Counselor • SAT scores, GPA, Rank • Colleges to which student applied & decision • Major • Special needs • Final Plans – Military, employment, college attending

  5. Types of data (continued) • Standardized testing data • SAT/ACT/PSAT/AP data • Does it impact curriculum? • Does it determine programs/interventions? • Does it help, hurt or make no difference? • Demographic data • 1st generation; under-represented; low income

  6. Types of data (continued) • School data • Attendance • Discipline • Grades • Curriculum • EX: # of AP/Honors classes • Historical data

  7. Collecting data • Commercial programs • Naviance • www.naviance.com • Advocate • www.inresonance.com • Connectedu • www.connectedu.net • PrepHQ • www.myfootpath.com

  8. Collecting data (continued) • Access • Excel • Create your own method of record keeping

  9. Access Database fields

  10. Excel Spreadsheet

  11. Analyzing Data • EZ-Analyze • www.ezanalyze.com • Using Access or Excel • Test Wiz

  12. Reporting of Data • Scattergrams • Grade Point Average (x axis) vs. SAT’s (y axis) • Other reports • Access Report • Placement percentages

  13. Scattergram Example

  14. Placement Report Example

  15. Placement Data Report

  16. Evaluation of your program • Surveys, questionnaires • Online vs. paper • www.suverymonkey.com • www.counselingsurveys.org • Pre & post surveys • Gives immediate feedback about the need or impact of your program/intervention

  17. Pre & Post Survey Examples

  18. Sharing Your Data • Celebrate what you find • School Profile • MARC of Excellence • http://www.masca.org/pdf_05_06/Marc%20edits%20rev3gray.doc • Press release, faculty meeting or school board presentation, parent programs, etc.

  19. Cautions About Using Data • Data doesn’t always give you the information you want • College admissions is not an exact science • Data shouldn’t take the place of human connection/intervention

  20. Resources to assist you with data • Evidence-Based School Counseling: Making a Difference With Data-Driven Practices • Dimmitt, Carey & Hatch • Making Data Work: An ASCA National Model Publication • Kaffenberger & Young

  21. Resources to assist you with data (continued) • Center for Excellence in School Counseling & Leadership • www.cescal.org • Center for School Counseling Outcome Research • www.cscor.org

  22. Next steps • Create an action plan • Pick one item to do upon your return to school • Educate your colleagues about what you learned • Attend further training about using data • Get other stakeholders on board • Celebrate your accomplishment(s)

  23. Questions & conversations • What is not clear? • What more do you need? • How can we help each other? • Who wants to share a success with data?

  24. For more information Bob Bardwell School Counselor & Director of Guidance Monson High School 55 Margaret Street Monson, MA 01057 413.267.4589x1107 bardwellr@monsonschools.com

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