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Showing 1 to 15 of 26 results Save | Export
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Fellers, Pamela S.; Kuiper, Shonda – Journal of Statistics Education, 2020
Increasingly students, particularly those in the social sciences, work with survey data collected through a more complex sampling method than a simple random sample. Failing to understand how to properly approach survey data can lead to inaccurate results. In this article, we describe a series of online data visualization applications and…
Descriptors: Statistics, Introductory Courses, Teaching Methods, Concept Formation
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Taylor, Matthew A.; Skourides, Andreas; Alvero, Alicia M. – Journal of Organizational Behavior Management, 2012
Interval recording procedures are used by persons who collect data through observation to estimate the cumulative occurrence and nonoccurrence of behavior/events. Although interval recording procedures can increase the efficiency of observational data collection, they can also induce error from the observer. In the present study, 50 observers were…
Descriptors: Safety, Behavior, Error of Measurement, Observation
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
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Broughman, Stephen P.; Swaim, Nancy L.; Hryczaniuk, Cassie A. – National Center for Education Statistics, 2011
In 1988, the National Center for Education Statistics (NCES) introduced a proposal to develop a private school data collection that would improve on the sporadic collection of private school data dating back to 1890 and improve on commercially available private school sampling frames. Since 1989, the U.S. Bureau of the Census has conducted the…
Descriptors: Private Schools, Statistical Significance, Sampling, Statistics
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Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Vaden-Kiernan, Nancy; Blaker, Lisa; Najarian, Michelle – National Center for Education Statistics, 2018
This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) public-use data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011), which includes the first release of the public version of the third-grade data. This manual mainly provides information specific…
Descriptors: Longitudinal Studies, Children, Surveys, Kindergarten
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
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Puhan, Gautam; Moses, Tim; Grant, Mary; McHale, Fred – ETS Research Report Series, 2008
A single group (SG) equating design with nearly equivalent test forms (SiGNET) design was developed by Grant (2006) to equate small volume tests. The basis of this design is that examinees take two largely overlapping test forms within a single administration. The scored items for the operational form are divided into mini-tests called testlets.…
Descriptors: Data Collection, Equated Scores, Item Sampling, Sample Size
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Oranje, Andreas; Freund, David; Lin, Mei-jang; Tang, Yuxin – ETS Research Report Series, 2007
In this paper, a data perturbation method for minimizing the possibility of disclosure of participants' identities on a survey is described in the context of the National Assessment of Educational Progress (NAEP). The method distinguishes itself from most approaches because of the presence of cognitive tasks. Hence, a data edit should have minimal…
Descriptors: Student Surveys, Risk, National Competency Tests, Data Analysis
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Hartman, Bruce W.; And Others – Journal of Experimental Education, 1986
The detrimental effects of nonresponse bias are particularly significant given the widespread use of the survey data collection method in educational surveys. Current methods for remediating nonresponse bias in educational surveys are explored and critiqued. (Author/LMO)
Descriptors: Data Collection, Educational Assessment, Elementary Secondary Education, Error of Measurement
Rodriguez, Maximo – 1997
Norm-referenced tests yield information regarding a student's performance in comparison to a norm or average of performance by similar students. Norms are statistics that describe the test performance of a well-defined population. The process of constructing norms, called norming, is explored briefly in this paper. Some of the most widely reported…
Descriptors: Data Collection, Error of Measurement, Identification, Norm Referenced Tests
Brick, Mike; Kim, Kwang; Nolin, Mary Jo; Collins, Mary – 1996
The National Household Education Survey (NHES) is a data collection system of the National Center for Education Statistics (NCES) designed to address a wide range of education-related issues. It is a telephone survey of the noninstitutionalized civilian population. In 1995, the NHES included a survey of adult education (AE). This report deals with…
Descriptors: Adult Education, Data Collection, Error of Measurement, Interviews
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Graham, John W.; Taylor, Bonnie J.; Olchowski, Allison E.; Cumsille, Patricio E. – Psychological Methods, 2006
The authors describe 2 efficiency (planned missing data) designs for measurement: the 3-form design and the 2-method measurement design. The 3-form design, a kind of matrix sampling, allows researchers to leverage limited resources to collect data for 33% more survey questions than can be answered by any 1 respondent. Power tables for estimating…
Descriptors: Cost Effectiveness, Structural Equation Models, Psychological Studies, Data Collection
Olejnik, Stephen F.; Algina, James – 1983
Parametric analysis of covariance was compared to analysis of covariance with data transformed using ranks. Using a computer simulation approach the two strategies were compared in terms of the proportion of Type I errors made and statistical power when the conditional distribution of errors were: (1) normal and homoscedastic, (2) normal and…
Descriptors: Analysis of Covariance, Control Groups, Data Collection, Error of Measurement
Searls, Donald T., Ed. – 1983
The purpose of this paper is to provide an overview of the analysis of data collected by the National Assessment of Educational Progress (NAEP). In simplest terms, the analysis can be characterized as establishing baseline estimates of the percentages of young Americans possessing certain skills, knowledge, understandings, and attitudes and…
Descriptors: Data Analysis, Data Collection, Databases, Educational Assessment
Ingels, Steven J.; Scott, Leslie A.; Taylor, John R.; Owings, Jeffrey; Quinn, Peggy – 1998
This technical report documents the methodology of the National Education Longitudinal Study of 1988 (NELS:88) base year survey of eighth graders through the 1992 second followup survey of high school students and dropouts. Chapter 1 begins with an overview and history of the NELS:88 and its database, Chapter 2 contains a description of the data…
Descriptors: Data Collection, Databases, Error of Measurement, Followup Studies
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