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New Media Centers 2001 Salary Survey David Herrington Manager, Academic Technology Services Princeton University May 25, 2001.

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Presentation on theme: "New Media Centers 2001 Salary Survey David Herrington Manager, Academic Technology Services Princeton University May 25, 2001."— Presentation transcript:

1 New Media Centers 2001 Salary Survey David Herrington Manager, Academic Technology Services Princeton University May 25, 2001

2 Participating Schools Art Institute of Boston Bradley University Brown University California State University, Chico Johns Hopkins University Lafayette College Massachusetts Institute of Technology Mount Holyoke College New York University Ohio State University Princeton University Santa Fe Community College Southern Illinois University at Carbondale

3 Participating Schools (cont’d) Terra Community College University of California, Davis University of Nebraska, Lincoln University of New Mexico University of North Dakota, Grand Forks University of Rochester University of St. Thomas University of Texas at Austin Virginia Tech

4 Participating Schools

5 Positions Reported

6 Regional Cost of Living Adjustment Why? A $40K job in New York pays less than a $40K job in Lincoln Nebraska. Statistics less meaningful if not performed. How? Using the “Salary Wizard” at salary.com Benchmark job: Internet and New Media Content Specialist

7 COLA Calculation For each region participating in survey, look up the annual salary of "Internet and New Media" occupation "Content Specialist" on salary.com. Call this test salary TS. Calculate the multiplier M to convert to Columbus dollars as follows: M = 44180 / TS. All salaries converted to Columbus dollars prior to statistical calculations. To convert salary averages and ranges back to regional dollars, multiply by 1/M.

8 RegionTSM1/M New York, NY 50,67387.19%114.70% New Brunswick, NJ 49,62089.04%112.31% Boston, MA 47,73392.56%108.04% Boston, MA 47,73392.56%108.04% Sacramento, CA 46,98794.03%106.35% Minneapolis-St. Paul, MN 45,93496.18%103.97% Rochester, NY 45,62796.83%103.28% Springfield MA 45,32097.48%102.58% Baltimore, MD 44,79498.63%101.39% Peoria, IL 44,48799.31%100.69% Providence, RI 44,35599.61%100.40% Columbus, OH 44,180100.00% Areas with higher cost of living than Columbus Ohio

9 Areas with lower cost of living than Columbus Ohio RegionTSM1/M Columbus, OH 44,180100.00% Toledo, OH 43,916100.60%99.40% Chico, CA 43,609101.31%98.71% Allentown, PA 43,170102.34%97.71% Springfield IL 42,732103.39%96.72% Austin, TX 41,898105.45%94.83% Roanoke, VA 41,767105.78%94.54% Albuquerque, NM 41,591106.22%94.14% Grand Forks, ND 41,108107.47%93.05% Santa Fe, NM 40,977107.82%92.75% Lincoln, NE 40,757108.40%92.25%

10 Statistics in a Nutshell Numeric Mean Commonly known as “average” Mean of [1,3,4,9,20] is (1+3+4+9+20) / 5 = 7.4 Median Middle value if odd number of values Average of two middle values if even number Median of [1,3,4,9,20] is 4 Mode Most common value

11 Statistics in a Nutshell Normal Distribution Mean ± 1 SD - 68% ± 2 SD - 95% ± 3 SD - 99% 68%

12 Statistics in a Nutshell Mean of sample may not equal population mean Sample mean 1Sample mean 2

13 Population mean Statistics in a Nutshell Confidence interval estimate of population mean Sample mean 1 95% certain population mean is within confidence interval

14 And now, the survey results…

15 Consultant / Specialist Digital Audio-Visual Staff Digital Media Specialist Educational Technology Center Consultant Graphics Research Specialist Information Technology Consultant Instructional Support Assistant Instructional Technologist Instructional Technology Consultant Media Production Specialist III Multimedia Specialist NMC Operations Assistant Senior Technologist Sr. Graphics Research Specialist Systems Specialist

16 Consultant/Specialist Degree 0=none; 1=Assoc; 2=Bachelor; 3=Masters; 4=Doctorate

17 Consultant/Specialist Full-time staff (“-” means zero in above.)

18 Consultant/Specialist Part-time staff

19 Consultant/Specialist Adjusted salary

20 Coordinator Coordinator of Course Management Systems Coordinator of Educational Catalyst Center Faculty Coordinator Instructional Tech Project Man / NMC Coordinator Instructional Technology Coordinator Multimedia Developer / Lab Coordinator Online Operations Coordinator

21 Coordinator Degree 0=none; 1=Assoc; 2=Bachelor; 3=Masters; 4=Doctorate

22 Coordinator Full-time staff (“-” means zero in above.)

23 Coordinator Part-time staff

24 Coordinator Adjusted Salary

25 Manager Academic Computing Lab Manager Computer Facilities Manager Director, NMC Educational Technology Center Lab Manager Facilities Director Manager of Educational Technology Center (New Media Center) Manager, Academic Technology Services Media Production Specialist Multimedia Lab Manager NMC Manager Operations Manager, Distributed Learning Technology

26 Manager Degree 0=none; 1=Assoc; 2=Bachelor; 3=Masters; 4=Doctorate

27 Manager Full-time staff (“-” means zero in above.)

28 Manager Part-time staff

29 Manager Adjusted Salary

30 Director Acting Director / Associate Professor Associate Director Associate Director, IET Mediaworks Director Director & Assistant Professor Director, Center for Instructional Technologies Director, CoLA New Media Center Director of Academic Computing / NMC Director Director of Research Director of the Multimedia Lab Executive Producer Instructional Aides Associate / Director of ETS Manager, New Media and Extended Learning Group

31 Director Degree 0=none; 1=Assoc; 2=Bachelor; 3=Masters; 4=Doctorate

32 Director Full-time staff

33 Director Part-time staff

34 Director Adjusted salary

35 Too few to quantify Administrative Associate -2 Associate Professor Graphic Artist Interactivity Designer / Art Director Instructional Designer Media Technician Systems Developer / Engineer

36 Summary

37 Problems with this survey Sample size too small 14 Directors 12 Managers 8 Coordinators 22 Consultants / Specialists Assignment of positions to above categories was arbitrary (See notes on position pages)

38 Recommendations NMC’s should work together to establish classifications and descriptions for common positions. We should seek to know how people with the same skills are paid, outside of Education, so we can avoid losing good people because of salary issues.

39 This presentation and associated summary data is on the web at http://www.princeton.edu/~daveh/nmcss2001


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