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Raykov, Tenko; Menold, Natalja; Leer, Jane – Educational and Psychological Measurement, 2022
Two- and three-level designs in educational and psychological research can involve entire populations of Level-3 and possibly Level-2 units, such as schools and educational districts nested within a given state, or neighborhoods and counties in a state. Such a design is of increasing relevance in empirical research owing to the growing popularity…
Descriptors: Hierarchical Linear Modeling, Computation, Statistical Analysis, Research Design
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Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Educational and Psychological Measurement, 2022
Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…
Descriptors: Structural Equation Models, Factor Structure, Statistical Bias, Error of Measurement
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Audette, Lillian M.; Hammond, Marie S.; Rochester, Natalie K. – Educational and Psychological Measurement, 2020
Longitudinal studies are commonly used in the social and behavioral sciences to answer a wide variety of research questions. Longitudinal researchers often collect data anonymously from participants when studying sensitive topics to ensure that accurate information is provided. One difficulty gathering longitudinal anonymous data is that of…
Descriptors: Research Methodology, Longitudinal Studies, Research Design, Social Science Research
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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
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Andrich, David – Educational and Psychological Measurement, 2013
Assessments in response formats with ordered categories are ubiquitous in the social and health sciences. Although the assumption that the ordering of the categories is working as intended is central to any interpretation that arises from such assessments, testing that this assumption is valid is not standard in psychometrics. This is surprising…
Descriptors: Item Response Theory, Classification, Statistical Analysis, Models
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Konstantopoulos, Spyros – Educational and Psychological Measurement, 2013
Large-scale experiments that involve nested structures may assign treatment conditions either to subgroups such as classrooms or to individuals such as students within subgroups. Key aspects of the design of such experiments include knowledge of the variance structure in higher levels and the sample sizes necessary to reach sufficient power to…
Descriptors: Statistical Analysis, Research Design, Correlation, Computation
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Konstantopoulos, Spyros – Educational and Psychological Measurement, 2011
Field experiments with nested structures assign entire groups such as schools to treatment and control conditions. Key aspects of such cluster randomized experiments include knowledge of the intraclass correlation structure and the sample sizes necessary to achieve adequate power to detect the treatment effect. The units at each level of the…
Descriptors: Sampling, Multivariate Analysis, Sample Size, Statistical Analysis
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Huang, Chiungjung – Educational and Psychological Measurement, 2009
This study examined the percentage of task-sampling variability in performance assessment via a meta-analysis. In total, 50 studies containing 130 independent data sets were analyzed. Overall results indicate that the percentage of variance for (a) differential difficulty of task was roughly 12% and (b) examinee's differential performance of the…
Descriptors: Test Bias, Research Design, Performance Based Assessment, Performance Tests
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Yin, Ping; Sconing, James – Educational and Psychological Measurement, 2008
Standard-setting methods are widely used to determine cut scores on a test that examinees must meet for a certain performance standard. Because standard setting is a measurement procedure, it is important to evaluate variability of cut scores resulting from the standard-setting process. Generalizability theory is used in this study to estimate…
Descriptors: Generalizability Theory, Standard Setting, Cutting Scores, Test Items
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Huberty, Carl J. – Educational and Psychological Measurement, 2003
Describes differences between multiple correlation analysis (MCA) and multiple regression analysis (MRA), showing how these approaches involve different research questions and study designs, different inferential approaches, different analysis strategies, and different reported information. (SLD)
Descriptors: Correlation, Regression (Statistics), Research Design
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Johnson, Craig W. – Educational and Psychological Measurement, 1986
A simple quasi-experimental design is described which may have utility in a variety of applied and laboratory research settings where ordinarily the one-group pretest-posttest pre-experimental design might otherwise be the procedure of choice. The design approaches the internal validity of true experimental designs while optimizing external…
Descriptors: Analysis of Variance, Pretests Posttests, Quasiexperimental Design, Research Design
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Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
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Huberty, Carl J.; Holmes, Susan E. – Educational and Psychological Measurement, 1983
An alternative analysis of the two-group single response variable design is proposed. It involves the classification of experimental units to populations represented by the two groups. Three real data sets are provided to illustrate the utility of the classification analysis. A table of sample sizes required for the analysis is presented.…
Descriptors: Classification, Data Analysis, Hypothesis Testing, Research Design
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Haase, Richard F. – Educational and Psychological Measurement, 1983
This paper reviews the distinctions between classical and partial eta square and derives a formula for use in those complex analysis of variance designs in which the investigator desires a measure of classical eta square and has access only to the F-tests and relevant degrees of freedom. (Author/BW)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Research Design
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Hopkins, Kenneth D. – Educational and Psychological Measurement, 1983
A general analysis strategy is proposed such that the universe of inference is increased incrementally. The strategy prevents logically incongruent findings that occasionally result when the conventional analysis strategy is employed. (Author)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
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