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Davidow, Jason H.; Ye, Jun; Edge, Robin L. – International Journal of Language & Communication Disorders, 2023
Background: Speech-language pathologists often multitask in order to be efficient with their commonly large caseloads. In stuttering assessment, multitasking often involves collecting multiple measures simultaneously. Aims: The present study sought to determine reliability when collecting multiple measures simultaneously versus individually.…
Descriptors: Graduate Students, Measurement, Reliability, Group Activities
Poon, Brenda T.; Simmons, Noreen R. – Deafness & Education International, 2016
Population-based outcome monitoring could provide useful information about factors that differentially influence the developmental trajectories of deaf or hard-of-hearing children. A strong basis for population-based outcome monitoring is a coordinated, longitudinal data collection, and management infrastructure that includes quality local…
Descriptors: Foreign Countries, Early Intervention, Data Collection, Deafness
Kim, YoungKoung; Hendrickson, Amy; Patel, Priyank; Melican, Gerald; Sweeney, Kevin – College Board, 2013
The purpose of this report is to describe the procedure for revising the ReadiStep™ score scale using the field trial data, and to provide technical information about the development of the new ReadiStep scale score. In doing so, this report briefly introduces the three assessments--ReadiStep, PSAT/NMSQT®, and SAT®--in the College Board Pathway…
Descriptors: College Entrance Examinations, Educational Assessment, High School Students, Scores
Liu, Qin – Association for Institutional Research, 2012
This discussion constructs a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research and then introduces the…
Descriptors: Institutional Research, Higher Education, Quality Control, Researchers
Liu, Qin – Online Submission, 2009
This paper intends to construct a survey data quality strategy for institutional researchers in higher education in light of total survey error theory. It starts with describing the characteristics of institutional research and identifying the gaps in literature regarding survey data quality issues in institutional research. Then it is followed by…
Descriptors: Higher Education, Institutional Research, Quality Control, Researchers
Salvucci, Sameena; Walter, Elizabeth; Conley, Valerie; Fink, Steven; Saba, Mehrdad – 1997
This report provides an overview of a selection of measurement error studies conducted on National Center for Education Statistics (NCES) surveys. Its intent is not to offer new analyses of program data, but to summarize information from internal memoranda, working papers, and adjudicated reports about errors of measurement that occur during five…
Descriptors: Data Analysis, Data Collection, Educational Indicators, Elementary Secondary Education
Willson, Victor L.; And Others – 1982
Given the complexity of classroom reading observations, maintenance of measurement reliability is a concern to researchers. Sources of variation contributing to the unreliability of many measurements may be either (1) lasting and specific, (2) lasting and general, (3) temporary and specific, or (4) temporary and general. Lasting-specific sources…
Descriptors: Classroom Communication, Classroom Observation Techniques, Data Collection, Error of Measurement

Cohen, Patricia – Evaluation and Program Planning: An International Journal, 1982
The various costs of Type I and Type II errors of inference from data are discussed. Six methods for minimizing each error type are presented, which may be employed even after data collection for Type I and which minimizes Type II errors by a study design and analytical means combination. (Author/CM)
Descriptors: Analysis of Variance, Data Analysis, Data Collection, Error of Measurement
Mohadjer, Leyla; And Others – 1992
The National Household Education Survey (NHES) was conducted for the first time in 1991 as a way to collect data on the early childhood education experiences of young children and participation in adult education. Because the NHES methodology is relatively new, field tests were necessary. A large field test of approximately 15,000 households was…
Descriptors: Adolescents, Adult Education, Data Collection, Dropout Research
Rothman, M. L.; And Others – 1982
A practical application of generalizability theory, demonstrating how the variance components contribute to understanding and interpreting the data collected to evaluate a program, is described. The evaluation concerned 120 learning modules developed for the Dental Auxiliary Education Project. The goals of the project were to design, implement,…
Descriptors: Correlation, Data Collection, Dental Schools, Educational Research
Congress of the U. S., Washington, DC. House Committee on Government Operations. – 1986
The Bureau of Labor Statistics (BLS) publishes the official unemployment rate on the first Friday of each month based on a sample survey of 59,500 households called the Current Population Survey. Unemployment data for states and local areas are published monthly by the BLS in cooperation with the state employment security agencies. The primary…
Descriptors: Data Collection, Data Interpretation, Dislocated Workers, Employment Patterns
Wolfle, Lee M. – 1983
Many studies of educational outcomes collect data on the socioeconomic characteristics of parents from students, and not from the parents themselves. Nevertheless, students are often fallible informants of parental status factors. A series of distinct hierarchical measurement models were used to examine the structure of errors in high school…
Descriptors: Blacks, Data Collection, Employment Level, Error of Measurement
Fink, Arlene – 1995
The nine-volume Survey Kit is designed to help readers prepare and conduct surveys and become better users of survey results. All the books in the series contain instructional objectives, exercises and answers, examples of surveys in use, illustrations of survey questions, guidelines for action, checklists of "dos and don'ts," and…
Descriptors: Costs, Data Collection, Educational Research, Error of Measurement