Schools and Staffing Survey (SASS). Papers Presented at Meetings of the American Statistical Association. Working Paper Series [microform]
- Bib ID:
- 5614416
- Format:
- Book and Microform
- Author:
- National Center for Education Statistics (ED), Washington, DC
- Online Version:
- https://eric.ed.gov/?id=ED417222
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- Description:
-
- [S.l.] : Distributed by ERIC Clearinghouse, 1994
- 132 p.
- Summary:
-
The Schools and Staffing Survey (SASS) is an integrated system of surveys of public and private schools, school districts, school administrators, and teachers conducted by the National Center for Education Statistics (NCES). This collection contains papers related to the SASS presented at meetings of the American Statistical Association in August 1991, June 1993, and August 1993. The following papers are included: (1) "The Schools and Staffing Survey: Research Issues" (Daniel Kasprzyk); (2) "The Schools and Staffing Survey: How Reinterview Measures Data Quality" (John M. Bushery, Daniel Royce, and Daniel Kasprzyk); (3) "Mail versus Telephone Response in the 1991 Schools and Staffing Survey" (Randall J. Parmer, Pao-Sheng Shen, and Andre I. Tan); (4) "Questionnaire Research in the Schools and Staffing Survey: A Cognitive Approach" (Cleo R. Jenkins); (5) "Balanced Half-Sample Replication with Aggregation Units" (Steven Kaufman); (6) "Characteristics of Nonrespondents in the Schools and Staffing Surveys' School Sample" (Pao-Sheng Shen, Randall J. Parmer, and Andre I. Tan); (7) "Improving Reliability and Comparability of NCES Data on Teachers and Other Education Staff" (Rolf K. Blank); (8) "Sampling Frames at the United States National Center for Education Statistics" (Marilyn McMillen, Daniel Kaspryzk, and Paul Planchon); (9) "Monitoring Data Quality in Education Surveys" (Samuel S. Peng, Kerry Gruber, Wray Smith, and Thomas B. Jabine); (10) "Generalized Variance Functions for the Schools and Staffing Survey" (Sameena Salvucci, Glenn Galfond, and Steven Kaufman); (11) "A Bootstrap Variance Estimator for the Schools and Staffing Survey" (Steven Kaufman); (12) "Adjusting for Nonresponse Bias of Correlated Items Using Logistic Regression" (Pao-Sheng Shen and Robin Fisher); (13) "Comparisons of School Locale Setting: Self-Reported versus Assigned" (Frank Johnson); (14) "The Accuracy of Teachers' Self-Reports" (Bradford Chaney); (15) "Characteristics of Nonrespondents to the 1990-91 Schools and Staffing Survey" (Wray Smith, Ramal Moonesinghe, and Kerry Gruber); (16) "Implicit Markets for Teacher Quality and School Attributes" (Dale Ballou and Michael Podgursky); (17) "Who Decides? Principals' and Teachers' Views on Decision-Making" (Judith I. Anderson); and (18) "Determinants of Pupil-Teacher Ratios at School Sites: Evidence from the Schools and Staffing Survey" (Lawrence O. Picus and Minaz Bhimani). Each paper contains references. (SLD)
- Notes:
-
- Availability: U.S. Department of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 555 New Jersey Avenue, N.W., Room 400, Washington, DC 20208-5652.
- ERIC Note: Document contains small type.
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
-
- Educational Research
- Elementary Secondary Education
- Estimation (Mathematics)
- Interviews
- National Surveys
- Reliability
- Response Rates (Questionnaires)
- Sampling
- Statistical Analysis
- Teacher Supply and Demand
- Schools and Staffing Survey (NCES) Variance (Statistical)
- American Statistical Association Generalized Variance Functions
- Other authors/contributors:
- National Center for Education Statistics (ED), Washington, DC
- Available From:
- ERIC
- Copyright:
-
In Copyright
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- Reason for copyright status:
- Until 2064 [Created/Published Date + 70 Years]
Copyright status was determined using the following information:
- Material type:
- Literary Dramatic Musical
- Published status:
- Published
- Publication date:
- 1994
Copyright status may not be correct if data in the record is incomplete or inaccurate. Other access conditions may also apply. For more information please see: Copyright in library collections.
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