Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under...

independent groups whilst subjecting participants to repeated measures. Thus, in a mixed-design ANOVA model, one factor (a fixed effects factor) is a...

has a repeated measures design, the same measures are collected multiple times for each subject. A crossover trial has a repeated measures design in which...

Charles S. Peirce randomly assigned volunteers to a blinded, repeated-measures design to evaluate their ability to discriminate weights. Peirce's experiment...

multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed in the context...

validate a repeated measures analysis of variance (ANOVA). It was developed in 1940 by John Mauchly. Sphericity is an important assumption of a repeated-measures...

Design of experiments Optimal design Factorial experiment Restricted randomization Repeated measures design Randomized block design Cross-over design...

three treatment factors, including randomized block, split plot, repeated measures, and Latin squares, and their analysis in R (University of Southampton)...

is a statistical method of adjusting for lack of sphericity in a repeated measures ANOVA. The correction functions as both an estimate of epsilon (sphericity)...

model Linear regression Mixed-design analysis of variance Multilevel model Random effects model Repeated measures design Empirical Bayes method Baltagi...

heavier of two measurements, following a randomized controlled repeated measures design. Importance: Pioneered elicitation of subjective probabilities...

Bayesian experimental design provides a general probability-theoretical framework from which other theories on experimental design can be derived. It is...

attractiveness. Therefore, watching the target faces twice in a repeated measures design may contribute to observers' ratings of better attractiveness,...

used in various branches of biology. Salkind, Neil J. (2010). Repeated Measures Design. SAGE. doi:10.4135/9781412961288. ISBN 9781412961271. Archived...

experiment is a completely randomized design. Both groups are then asked to use their shoes for a period of time, and then measure the degree of wear of the soles...

all B(i) are positive semidefinite. Moreover, the above analysis can be repeated in the diagonal basis for C ( 1 ) = B ( 2 ) + ∑ j > 2 B ( j ) {\displaystyle...

In the design of experiments, optimal experimental designs (or optimum designs) are a class of experimental designs that are optimal with respect to some...

index, indicating the unique quality of each element, a form of repeated measures design. This was intended to permit the creation of derivatives markets...

operational factors. Of late, for formulation optimization, the RSM, using proper design of experiments (DoE), has become extensively used. In contrast to conventional...

correlation analysis Multivariate analysis of variance (Wikiversity) Repeated measures design Warne, R. T. (2014). "A primer on multivariate analysis of variance...

= t2. Factorial ANOVA is used when there is more than one factor. Repeated measures ANOVA is used when the same subjects are used for each factor (e.g...

study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long...

numbers – a discrete distribution Renewal theory Repeatability Repeated measures design Replication (statistics) Representation validity Reproducibility...

randomized experiments: They randomly assigned volunteers to a blinded, repeated-measures design to evaluate their ability to discriminate weights. On the basis...

Generalized randomized block design (GRBD) Latin square Graeco-Latin square Orthogonal array Latin hypercube Repeated measures design Crossover study Randomized...

correlated data via GEE are available. Generalized method of moments Repeated measures design Kung-Yee Liang; Scott Zeger (1986). "Longitudinal data analysis...

data, self-report study, observational study, experimental study, repeated measures design, and mixed-methods procedures. Relationship science relies predominantly...

This type of confounding occurs when a measure designed to assess a particular construct inadvertently measures something else as well. A procedural confounding...

(1883). With a repeated measures design, he introduced blinded, controlled randomized experiments (before Fisher). He invented an optimal design for experiments...

A robust parameter design, introduced by Genichi Taguchi, is an experimental design used to exploit the interaction between control and uncontrollable...