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Diego Cortes; Dirk Hastedt; Sabine Meinck – Large-scale Assessments in Education, 2025
This paper informs users of data collected in international large-scale assessments (ILSA), by presenting argumentsunderlining the importance of considering two design features employed in these studies. We examine a commonmisconception stating that the uncertainty arising from the assessment design is negligible compared with that arisingfrom the…
Descriptors: Sampling, Research Design, Educational Assessment, Statistical Inference
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Dubois, Cathy; Long, Lori – International Journal on E-Learning, 2012
E-learning researchers face considerable challenges in creating meaningful and generalizable studies due to the complex nature of this dynamic training medium. Our experience in conducting workplace e-learning research led us to create this guide for planning research on e-learning. We share the unanticipated complications we encountered in our…
Descriptors: Electronic Learning, Course Content, Instructional Design, Program Implementation
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Daniels, V. A.; Stephen, K. D. – British Journal of Educational Technology, 1978
Difficulties often encountered in conducting surveys in educational technology are described, and some guidelines are suggested for the design and implementation of a survey instrument. (RAO)
Descriptors: Data Collection, Educational Assessment, Guidelines, Questionnaires
Boser, Judith A. – 1988
This paper helps researchers develop criteria for conducting surveys. Cost considerations frame the paper's suggestions. Specifically, the text advises that researchers consider the human and material resources needed, type of survey instrument, medium for conducting the survey (mail, telephone, personal interview, etc.), data analysis…
Descriptors: Costs, Data Analysis, Educational Assessment, Evaluation Methods
Folsom, Ralph E.; Williams, Rick L. – 1982
The National Assessment of Educational Progress (NAEP), like most large national surveys, employs a complex stratified multistage unequal probability sample. The design provides a rigorous justification for extending survey results to the entire U.S. target population. Developments in the analysis of data from complex surveys which provide a…
Descriptors: Cluster Analysis, Educational Assessment, Hypothesis Testing, Mathematics Achievement
Williams, Rick L.; And Others – 1981
The National Assessment of Educational Progress in-school sampling design is a three-stage stratified design. Stratification variables include region, size of community and socioeconomic status. The three levels of sample selection are Primary Sampling Units (PSUs), schools and students. In general, two and sometimes three PSUs are selected from…
Descriptors: Educational Assessment, Elementary Secondary Education, Error of Measurement, National Competency Tests
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Trochim, William M. K.; Visco, Ronald J. – Educational Evaluation and Policy Analysis, 1986
A number of quality assurance educational evaluation methods are illustrated. Evaluation data obtained from the Providence, Rhode Island, school district are used. The methods are: (1) from auditing, internal control; (2) from accounting, double bookkeeping; and (3) from industrial quality control, acceptance sampling and cumulative percentage…
Descriptors: Audits (Verification), Bookkeeping, Charts, Educational Assessment
Moore, R. Paul; And Others – 1974
The sampling designs and procedures used by the National Assessment of Educational Progress in its second year assessment activities are documented. The report is organized in three parts. Project objectives and other background information are discussed in the first section. The details of the second year school and household samples are…
Descriptors: Community Size, Data Collection, Educational Assessment, Family (Sociological Unit)
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Ross, Kenneth N. – International Journal of Educational Research, 1987
This article considers various kinds of probability and non-probability samples in both experimental and survey studies. Throughout, how a sample is chosen is stressed. Size alone is not the determining consideration in sample selection. Good samples do not occur by accident; they are the result of a careful design. (Author/JAZ)
Descriptors: Educational Assessment, Elementary Secondary Education, Evaluation Methods, Experimental Groups
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Johnson, Eugene G. – Journal of Educational Statistics, 1989
The effects of certain characteristics (e.g., sample design) of National Assessment of Educational Progress (NAEP) data on statistical analysis techniques are considered. Ignoring special features of NAEP data and proceeding with a standard analysis can produce inferences that underestimate the true variability and overestimate the true degrees of…
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
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Linn, Robert L.; Dunbar, Stephen B. – Journal of Educational Measurement, 1992
Several issues related to the design and reporting of results from the National Assessment of Educational Progress (NAEP) are discussed in the context of current expectations for the NAEP and its origins. These issues include: (1) content coverage and format; (2) estimation procedures; and (3) reporting problems. (SLD)
Descriptors: Content Analysis, Educational Assessment, Elementary Secondary Education, Estimation (Mathematics)
Ohio State Univ., Columbus. National Center for Research in Vocational Education. – 1985
This document describes a supplemental survey of staff in approximately half of the original sample of 1,015 schools that participated in the base year survey of the High School and Beyond Survey (HSB). The survey was designed to obtain measures of school goals and processes that effective schools literature indicates are important in achieving…
Descriptors: Data Collection, Educational Assessment, Educational Objectives, High Schools
Chromy, James R.; And Others – 1981
The primary sample for Year 11 of the National Assessment of Educational Progress (NAEP) was selected in March 1979, and was preceded by an 18-month planning effort. During the planning period, research concentrated in five specific areas: sampling frame construction, stratification criteria, efficiency study review, techniques and computer…
Descriptors: Asian Americans, Computer Programs, Educational Assessment, Elementary Secondary Education
Bayless, David L.; Benrud, Charles H. – 1978
A stratified two-stage cluster sample design was chosen for the Texas Assessment Project and is described in this document. The sample was designed so as to achieve a chosen level of precision in item analysis data within each of the 20 geographic regions chosen for analysis. Four sampling frames were developed: 9-year-olds; sixth graders;…
Descriptors: Basic Skills, Educational Assessment, Elementary Secondary Education, Institutional Characteristics
Green, Patricia J.; Hoogstra, Lisa A.; Ingels, Steven J.; Greene, Harrison N.; Marnell, Patricia K. – 1997
The Early Childhood Longitudinal Study (ECLS) is a new study that will focus on children's early school experiences beginning in kindergarten. Approximately 23,000 children will be selected as they enter kindergarten and followed through fifth grade. Base-year data will be collected in the fall of 1998, but there will a field test in the 1996-97…
Descriptors: Children, Cognitive Tests, Educational Assessment, Educational Research
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