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Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods.[1] For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed.
^Kraska; Marie (2010), "Repeated Measures Design", Encyclopedia of Research Design, California, USA: SAGE Publications, Inc., doi:10.4135/9781412961288.n378, ISBN 978-1-4129-6127-1, S2CID 149337088
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has a repeatedmeasuresdesign, the same measures are collected multiple times for each subject. A crossover trial has a repeatedmeasuresdesign in which...
Charles S. Peirce randomly assigned volunteers to a blinded, repeated-measuresdesign to evaluate their ability to discriminate weights. Peirce's experiment...
multilevel modeling (MLM) is the analysis of repeatedmeasures data. Multilevel modeling for repeatedmeasures data is most often discussed in the context...
three treatment factors, including randomized block, split plot, repeatedmeasures, and Latin squares, and their analysis in R (University of Southampton)...
model Linear regression Mixed-design analysis of variance Multilevel model Random effects model Repeatedmeasuresdesign Empirical Bayes method Baltagi...
attractiveness. Therefore, watching the target faces twice in a repeatedmeasuresdesign may contribute to observers' ratings of better attractiveness,...
In the design of experiments, optimal experimental designs (or optimum designs) are a class of experimental designs that are optimal with respect to some...
= t2. Factorial ANOVA is used when there is more than one factor. Repeatedmeasures ANOVA is used when the same subjects are used for each factor (e.g...
operational factors. Of late, for formulation optimization, the RSM, using proper design of experiments (DoE), has become extensively used. In contrast to conventional...
Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is...
heavier of two measurements, following a randomized controlled repeatedmeasuresdesign. Importance: Pioneered elicitation of subjective probabilities...
correlated data via GEE are available. Generalized method of moments Repeatedmeasuresdesign Kung-Yee Liang; Scott Zeger (1986). "Longitudinal data analysis...
are used for analysis of treatment effects in experiments with a repeatedmeasuresdesign. First developed as a special form of redundancy analysis, PRC...
index, indicating the unique quality of each element, a form of repeatedmeasuresdesign. This was intended to permit the creation of derivatives markets...
numbers – a discrete distribution Renewal theory Repeatability Repeatedmeasuresdesign Replication (statistics) Representation validity Reproducibility...
correlation analysis Multivariate analysis of variance (Wikiversity) Repeatedmeasuresdesign Warne, R. T. (2014). "A primer on multivariate analysis of variance...
study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long...
randomized experiments: They randomly assigned volunteers to a blinded, repeated-measuresdesign to evaluate their ability to discriminate weights. On the basis...
A robust parameter design, introduced by Genichi Taguchi, is an experimental design used to exploit the interaction between control and uncontrollable...
This type of confounding occurs when a measuredesigned to assess a particular construct inadvertently measures something else as well. A procedural confounding...
block design range The length of the smallest interval which contains all the data. recursive Bayesian estimation regression analysis repeatedmeasures design...
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