an evaluation of data from the teacher compensation survey: school year 2006-07 june, 2010 stephen...
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An Evaluation of Data from the Teacher Compensation Survey: School Year 2006-07
June, 2010
Stephen Q. CornmanFrank Johnson
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Teacher Compensation Survey (TCS)Initiated in Response to: Demand for more and better data on teachers’
compensation on a comparative state-by-state basis
Demand for data on total compensation that teachers receive, including benefits
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Purpose of TCS: Why collect these data?
Teachers are one of the most important components of education—and certainly the most expensive.
Current reports on actual salary data are only available at the state level and are not comparable
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TCS Data Collection
Administrative records survey
Collect individual level data on each public school teacher
School year 2006-07 and 2007-08 data- 17 states participated
School year 2008-09 data- 23 states committed to participate
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States Participating in TCS
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TCS 2007-08 Data Collection 17 states- 1.4 million records
1.12 million unique teachers (34.4% of teachers in US)
approximately 31,300 schools in 5,400 districts
Total Teachers Teachers in TCS Teachers not in TCS
3,178,142 1,119,711 2,058,431
100% 35.23% 65.57%
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TCS 2008-09 Data Collection
23 states participating-approximately 1.437 million unique teachers
Approximately 45.2% of teachers in US
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Teacher Compensation Survey VariablesDependent variables
Base salary Total salary Health benefits Retirement benefits Other benefits
Identifier variables State assigned Teacher ID
(use for longitudinal studies)
Linking variables LEA ID (tie data to NCES Local
Education Agency Universe survey) NCES School ID (tie data to other
NCES School Universe survey, e.g., locale codes)
Independent Variables Experience Education: highest
degree earned Teacher status Salary indicator Demographics: gender,
race, age New teacher in state New teacher in district Contract days FTE
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Challenges to TCS Data perspectives differ by State
Variable definitions need to be understandable and consistent
Reconciling data
Carrying teacher ID’s forward
Tracking teachers across state borders
Attracting and retaining volunteer states
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Data Availability All states can report base salary
6 of 17 states reported health and retirement benefits data
4 states able to assign consistent teacher identification number
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Data quality Variations in State data collection period, variable
definitions and response patterns
Snapshot reporting limits data on teachers who joined mid-year or left mid-year
Business rules developed and applied based on data plans, review of state policies, and response pattern consistency
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Comparison of TCS with Other Sources of Data FTE counts in the TCS and School Universe are within 4
percent of each other in 14 states
Schools in TCS and School Universe match up well: 31,410 in TCS and 31,087 in School Universe
TCS mean base salary higher than SASS in 15 of 16 states
Mean total teacher salary from TCS data agreed to within 5 percent of average teacher total salary reported by NEA in 11 of 13 where comparison could be made
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Mean Teacher Salaries from NEA and TCS, 2006-07
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Limitations of TCS Not all SEA’s collect administrative data on teachers
compensation
Differences in how states interpret variable definitions
Unique ID’s not being reported on longitudinal basis
ID’s cannot be used to track teachers across state borders
TCS cannot meet all data needs-less comprehensive than SASS
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Advantages of TCS First individual level teacher data base in the
country
Reliable database
TCS can be linked with the NCES School Universe- provides ability to analyze the association of teachers salaries with free and reduced lunch eligible students, ELL students, and geographic areas, etc.
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Data Analysis
Descriptive statistics such as the median salaries of teachers and counts for different groupings by experience, education level, age, race, and gender; new teachers’ salaries (Research and Development Report: Evaluation of
Data from Pilot TCS 2006-07)
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Teachers’ Mean Base Salaries: School year 2006–07
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "Teacher Compensation Survey," school year 2006–07, Version 1a.
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Median years of experience, school year 2006–07
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "Teacher Compensation Survey," school year 2006–07, Version 1a.
Participating state
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Median Base Salary by Years of Experience SY 2006-07
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Teachers Level of Education and Base Salary, SY 2006-07
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "Teacher Compensation Survey," school year 2006–07, Version 1a.
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New & Exp. Teachers’ Median Base Salaries, SY 2006–07
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "Teacher Compensation Survey," school year 2006–07, Version 1a.
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Percentage distribution of teachers by age, SY 2006–07
SOURCE: U.S. Department of Education, National Center for Education Statistics, Common Core of Data (CCD), "Teacher Compensation Survey," school year 2006–07, Version 1a.
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Examples of Research Questions What is the association between the percentage of
students eligible for free or reduced lunch and teachers’ base salaries?
What is the association between geographic location (urbanicity) and teachers’ base salaries?
What is the association between teaching in charter schools (compared to regular public schools) and teachers’ base salaries?
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Regression Analysis Merge the TCS file with the Public Elementary/
Secondary School Universe Survey of the Common Core of Data (CCD)
Remove outliers
Establish “cut points” after review of salary schedules
City, rural, suburb, and town variables created by collapsing categories from locale codes
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TCS Data Files and Products School Year 2005–06 (available now)
Research and Development Report: An Exploratory Evaluation of the Data from the Pilot Teacher Compensation Survey: School Year 2005–06 (http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2008440)
Restricted-Use Data file (http://nces.ed.gov/ccd/rutcs.asp) Public-Use Data files (http://nces.ed.gov/ccd/tcssurv.asp)
School Year 2006–07 (available June 2010) Research and Development Report: An Evaluation of the Data from
the Teacher Compensation Survey: School Year 2006–07 Restricted-Use Data file Public-Use Data file
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Contact information
[email protected] (202)502-7338 [email protected]
(202)503-7362 [email protected]
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Example of Regression ModelDependent Variables: teachers’ base salaryIndependent Variables (variables of interest) Proportion of students eligible for free or reduced lunch Rural, city, town (compared to suburbs)Controls for Teacher Characteristics Experience (years teaching) Education: MA, PhD, less than BA (compared to BA) Teacher gender: Female (compared to Male) Teacher race (American Indian, Asian, Hispanic, Black (compared to White)School Independent Variables School level: middle school, HS (compared to elementary school) Charter schools (compared to regular schools) Type of school: voc., special education, other (compared to regular schools)