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Liu, Ren; Huggins-Manley, Anne Corinne; Bradshaw, Laine – Educational and Psychological Measurement, 2017
There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a…
Descriptors: Matrices, Classification, Accuracy, Diagnostic Tests
Goff, Peter; Salisbury, Jason; Blitz, Mark – Wisconsin Center for Education Research, 2015
Initiatives to increase leadership accountability coupled with efforts to promote data-driven leadership have led to widespread adoption of instruments to assess school leaders. In this paper we present a decision matrix that practitioners and researchers can use to facilitate instrument selection. Our decision matrix focuses on the psychometric…
Descriptors: Comparative Analysis, Measures (Individuals), Feedback (Response), Psychometrics
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McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1975
A rapid method for hierarchically clustering the n objects of a matrix which portrays the interrelation of every object to every other object, where n equals any number up to 1,000 and even larger, is developed and discussed. Results compare favorably with those from other excellent methods. (Author/BJG)
Descriptors: Cluster Analysis, Comparative Analysis, Evaluation Methods, Matrices
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Straton, Ralph G. – Educational and Psychological Measurement, 1975
Complete paired comparisons data was obtained by use of multiple rank order (MRO) in the context of gathering rank order preferences of grade six students, their parents, and teachers for instructional objectives. Partially balanced incomplete block designs with two associate classes were used in the MRO instruments instead of the usual balanced…
Descriptors: Comparative Analysis, Data Collection, Matrices, Reliability
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McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1976
A relatively reliable and valid hierarchy of clusters of objects is plotted from the highest column entries, exclusively, of a matrix of interassociations between the objects. Having developed out of a loose definition of types, the method isolates both loose and highly definitive types, and all those in between. (Author/RC)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis
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Dudzinski, M. L.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Homogeneous Grouping