Home | Spense Investigators | Advisory Group | Instruments | Study Design |
Reports | Data Tables

IDEAS that Work

Study of Personnel Needs in Special Education (SPeNSE)

SPeNSE Data Tables

This site contains extensive information on the nation's general and special education teachers, speech-language pathologists, and special education paraprofessionals as well as information on local efforts to recruit and retain school personnel. You may navigate through this site either by selecting a general data category, or by selecting a keyword. Please note the data in these tables are national estimates. Forty-six percent of sampled districts and 69 percent of sampled service providers participated. Weight adjustments were used to address nonresponse bias, but care should be taken in interpreting results. When citing these data in another publication, use the following format:
Westat. (2002). [title of the table]. Retrieved [date], from www.spense.org/.
Please Select a General Category or Keyword
General Categories
DemographicsDemographics
Test Participation and PerformanceTest Participation and Performance
CredentialsCredentials
Professional Activities and CommitmentProfessional Activities and Commitment
Knowledge and SkillsKnowledge and Skills
Classroom PracticesClassroom Practices
Job CharacteristicsJob Characteristics
Preservice EducationPreservice Education
Continuing Professional DevelopmentContinuing Professional Development
Local Policies and PracticesLocal Policies and Practices
Personnel Recruitment, Retention, and ShortagePersonnel Recruitment, Retention, and Shortage

Hints for using tables:

Orshansky Poverty Index reflects the number or percentage of students in a district living in poverty based on household income, household composition, and size. The index is generated by the Census Bureau and is adjusted annually to account for inflation.

Sources refer to the survey and item number from which the data were derived. Copies of the surveys are available at www.spense.org.

Standard Errors (SE) show the amount of sampling error in the estimate. The smaller the SE, the better the estimate.

Keywords are listed at the bottom of each table to assist users in finding tables with similar content.