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Bacon, Donald R.; Zheng, Yilong; Stewart, Kim A.; Johnson, Carol J.; Paul, Pallab – Marketing Education Review, 2016
Although widely used, student evaluations of teaching do not address several factors that should be considered in evaluating teaching performance such as new course preparations, teaching larger classes, and inconvenient class times. Consequently, the incentive exists to avoid certain teaching assignments to achieve high SET scores while…
Descriptors: Student Evaluation of Teacher Performance, Statistical Analysis, College Faculty, Business Schools
Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: School Statistics, Definitions, Tables (Data), Longitudinal Studies
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
Kalsbeek, William D.; And Others – 1975
The National Assessment of Educational Progress; Second Science Assessment No-Show Study assessed the magnitude and causation of nonresponse biases. A No-Show is defined as an individual who was selected as a sample respondent but failed to be present for regular assessment of the 17-year-old group. The procedure whereby a sample of eligible…
Descriptors: Educational Assessment, High Schools, Mathematical Models, Performance Factors
Sucec, A. A. – 1979
Twenty-three male distance runners between the ages of 16 and 23 who had achieved a ten-minute or better two-mile performance were tested to determine physical and physiological characteristics to be used in predictive research regarding running performance. Relative body fat ratio, metabolic data, and oxygen intake capability were among the…
Descriptors: Exercise (Physiology), Measurement Techniques, Performance Factors, Predictive Measurement

Angoff, William H.; Ford, Susan F. – Journal of Educational Measurement, 1973
Several samples of black and white students were drawn from the 1970 PSAT administration in Georgia and studies for item x race interaction on both the verbal and mathematical sections of the test. (Authors)
Descriptors: Aptitude Tests, Interaction, Item Analysis, Performance Factors
Findlay, Hyacinth E. – Journal of Instructional Psychology, 2005
Teachers are held accountable for their students' success, yet they generally do not control the curricular decision-making process that affects students' performance. This study sought to ascertain K-12 public school teachers' concerns about five factors that impact curriculum, supervision and instruction: Administration; Collaboration; Work…
Descriptors: Elementary Secondary Education, Public School Teachers, Teacher Attitudes, Questionnaires
Theunissen, Phiel J. J. M. – 1983
Any systematic approach to the assessment of students' ability implies the use of a model. The more explicit the model is, the more its users know about what they are doing and what the consequences are. The Rasch model is a strong model where measurement is a bonus of the model itself. It is based on four ideas: (1) separation of observable…
Descriptors: Ability Grouping, Difficulty Level, Evaluation Criteria, Item Sampling
Lorton, Paul, Jr.; Searle, Barbara W. – 1976
A linear regression model was used to select items from a pool of 700 arithmetic word problems to be used in a computer-assisted mathematics curriculum for elementary school students. The experimental procedure first involved a stepwise linear regression analysis of a student's performance over a set of 25 problems. The probability correct for…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Correlation, Elementary School Mathematics