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Balanced repeated measurements designs
Biometrika, 1983SUMMARY Repeated measurements designs are concerned with scientific experiments in which each experimental unit is assigned more than once to a treatment, either different or identical. An easy method of constructing balanced minimal repeated measurements designs when p, the number of periods, is less than t, the number of treatments, is given.
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1989
In the preceding Chapters, we dealt with optimality aspects of traditional block designs and/or row-column designs, assuming fixed/mixed effects models. In many fields of scientific investigations, experiments are to be designed in such a manner that each experimental unit (eu) receives some or all of the treatments, one at a time, over a certain ...
Kirti R. Shah, Bikas K. Sinha
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In the preceding Chapters, we dealt with optimality aspects of traditional block designs and/or row-column designs, assuming fixed/mixed effects models. In many fields of scientific investigations, experiments are to be designed in such a manner that each experimental unit (eu) receives some or all of the treatments, one at a time, over a certain ...
Kirti R. Shah, Bikas K. Sinha
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Outlier detection in a repeated measure design
Quality and Reliability Engineering International, 2023AbstractThis paper considered the problem of outlier detection in a repeated measure design (RMD) using the Estimate distance and the Liu and Weng's residual methods. The comparative performance of the two methods in identifying outlier in a RMD was evaluated through empirical and simulation studies.
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ANALYSIS OF REPEATED MEASURES AND OTHER DESIGNS
Multivariate Behavioral Research, 1974For small and balanced analysis of variance problems, standard computer programs are convenient and efficient. For large problems, regression pro- grams are at least competitive with analysis of variance programs; and, when a problem is unbalanced, they usually provide the only reasonable solution.
T L, Dickinson, L, Wolins
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The Counseling Psychologist, 1999
To facilitate innovation in applied psychology research, investigators need to be well-informed about available research designs. The purpose of this article is to provide an overview of repeated measures research designs (e.g., participants exposed to more than one treatment or measured on more than one occasion). My intent is twofold.
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To facilitate innovation in applied psychology research, investigators need to be well-informed about available research designs. The purpose of this article is to provide an overview of repeated measures research designs (e.g., participants exposed to more than one treatment or measured on more than one occasion). My intent is twofold.
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The analysis of repeated measures designs: A review
British Journal of Mathematical and Statistical Psychology, 2001Repeated measures ANOVA can refer to many different types of analysis. Specifically, this vague term can refer to conventional tests of significance, one of three univariate solutions with adjusted degrees of freedom, two different types of multivariate statistic, or approaches that combine univariate and multivariate tests.
H J, Keselman, J, Algina, R K, Kowalchuk
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Sequential designs for repeated–measures experiments
Journal of Statistical Theory and Practice, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sinha, Sanjoy K., Xu, Xiaojian
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2009
D. with multiple measurement periods instead of simple pre-/post-evaluations; usually equal sample sizes at each measurement period and complex statistical techniques are needed (e.g. multivariate repeated measures analyses of variance).
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D. with multiple measurement periods instead of simple pre-/post-evaluations; usually equal sample sizes at each measurement period and complex statistical techniques are needed (e.g. multivariate repeated measures analyses of variance).
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On the use of repeated measures designs in psychopharmacology
Psychopharmacology, 1981A popular paradigm in psychopharmacology is the repeated measures design. Unfortunately the test of equal means across the repeated trials requires an assumption that is often untenable and which can lead to erroneous interpretations. In order to minimize this bias three approaches have been suggested.
P P, Vitaliano +4 more
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Interaction contrasts in repeated measures designs
British Journal of Mathematical and Statistical Psychology, 1996Specific information concerning the nature of interaction effects in factorial designs may be obtained through the use of tetrad contrasts. Empirical familywise Type I error rates and power rates associated with 10 procedures for conducting tetrad contrasts in groups‐by‐trials repeated measures designs were obtained when the assumptions of multisample ...
Lix, Lisa M., Keselman, H. J.
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