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Meyer, J. Patrick; Liu, Xiang; Mashburn, Andrew J. – Educational and Psychological Measurement, 2014
Researchers often use generalizability theory to estimate relative error variance and reliability in teaching observation measures. They also use it to plan future studies and design the best possible measurement procedures. However, designing the best possible measurement procedure comes at a cost, and researchers must stay within their budget…
Descriptors: Reliability, Classroom Observation Techniques, Generalizability Theory, Error of Measurement
Ing, Marsha; Shih, Jeffrey C. – Middle Grades Research Journal, 2013
There are situations within middle school settings where measurements of students and teachers are used for high-stakes decisions. For example, student performance is used as an indicator of teacher quality or determines student eligibility for particular types of support services. Given the high-stakes nature of these types of assessments,…
Descriptors: Generalizability Theory, Middle School Teachers, Teacher Behavior, Research Design

Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note shows that, under conditions specified by Levin and Subkoviak (TM 503 420), it is not necessary to specify the reliabilities of observed scores when comparing completely randomized designs with randomized block designs. Certain errors in their illustrative example are also discussed. (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Levin, Joel R.; Subkoviak, Michael J. – Applied Psychological Measurement, 1978
Comments (TM 503 706) on an earlier article (TM 503 420) concerning the comparison of the completely randomized design and the randomized block design are acknowledged and appreciated. In addition, potentially misleading notions arising from these comments are addressed and clarified. (See also TM 503 708). (Author/CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability

Forsyth, Robert A. – Applied Psychological Measurement, 1978
This note continues the discussion of earlier articles (TM 503 420, TM 503 706, and TM 503 707), comparing the completely randomized design with the randomized block design. (CTM)
Descriptors: Analysis of Variance, Error of Measurement, Hypothesis Testing, Reliability
Folsom, Ralph E., Jr. – 1975
In large-scale surveys, it is no longer uncommon for repeated measurements to be obtained from respondents and analyses performed to gauge the magnitiude of nonsampling errors. This is particularly true for periodic surveys and longitudinal surveys where a very large investment in data collection is made. This technical note, aimed at the analysis…
Descriptors: Error of Measurement, Longitudinal Studies, Mathematical Models, Reliability
Hedley, R. Alan – 1981
The author conducted a cross national analysis of sociological research reported in leading journals at two points in time over a ten year period to determine if sociologists' ability to produce valid social generalizations had improved significantly over the recent past. The official journals of the United States (American Sociological Review),…
Descriptors: Comparative Analysis, Error of Measurement, Generalization, Reliability

Preece, Peter F. W. – Educational and Psychological Measurement, 1982
The validity of various reliability-corrected procedures for adjusting for initial differences between groups in uncontrolled studies is established for subjects exhibiting linear fan-spread growth. The results are then extended to a nonlinear model of growth. (Author)
Descriptors: Achievement Gains, Analysis of Covariance, Error of Measurement, Hypothesis Testing
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
Webber, Larry; And Others – 1986
Generalizability theory, which subsumes classical measurement theory as a special case, provides a general model for estimating the reliability of observational rating data by estimating the variance components of the measurement design. Research data from the "Heart Smart" health intervention program were analyzed as a heuristic tool.…
Descriptors: Behavior Rating Scales, Cardiovascular System, Error of Measurement, Generalizability Theory
Mandeville, Garrett K. – 1978
The RMC Research Corporation evaluation model C1--the special regression model (SRM)--was evaluated through a series of computer simulations and compared with an alternative model, the norm referenced model (NRM). Using local data and national norm data to determine reasonable values for sample size and pretest posttest correlation parameters, the…
Descriptors: Analysis of Covariance, Error of Measurement, Intermediate Grades, Mathematical Models
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
Hill, Susan – 1981
Technical notes concerning the Survey of Income and Education (SIE), April-July 1976, which was conducted by the Bureau of the Census for the Department of Health, Education, and Welfare, are presented. Information is presented on the source of the data, sample design, estimation procedure, reliability of the estimates, nonsampling variability,…
Descriptors: Academic Persistence, College Students, Definitions, Enrollment Projections
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size
Hart, Roland J.; Bradshaw, Stephen C. – 1981
This report provides the statistical tools necessary to measure the extent of error that exists in organizational record data and group survey data. It is felt that traditional methods of measuring error are inappropriate or incomplete when applied to organizational groups, especially in studies of organizational change when the same variables are…
Descriptors: Adults, Analysis of Variance, Error of Measurement, Mathematical Formulas
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