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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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Repeated Measurement Designs with Random Selections
Biometrics, 1993We consider repeated measurement designs with a single group as well as with multiple groups. Conventionally, the repeated measurements are made at fixed, often evenly spaced times. The first and second moment conditions needed for an exact F test are not satisfied in general, but with random permutation of the times, a probability measure results that
Laster, Larry L., Pickands, James III
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Crossover-Repeated Measures Designs
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2015Human Factors experiments often involve complex experimental designs that require complex statistical analysis. In practice, however, these complex models are often evaluated using oversimplified analyses that do not adequately account for statistical factors that can impact the interpretation of results.
Kathryn G. Tippey +2 more
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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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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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2014
Data collection in experiments usually involve two methods. The first method usually involves administering the treatment to different subjects which are stratified into groups and then measuring the outcome or dependent variable. Thus, different groups of subjects take part in the experimental condition.
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Data collection in experiments usually involve two methods. The first method usually involves administering the treatment to different subjects which are stratified into groups and then measuring the outcome or dependent variable. Thus, different groups of subjects take part in the experimental condition.
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Crossover Designs and Repeated Measurements
Neuropsychobiology, 1983In crossover or changeover designs, the different treatments are allocated to each experimental unit (e.g. patient in clinical trial) in a randomized order. To analyze the results of such experiments, a mixed analysis of variance model is usually assumed.
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Trend analysis for repeated measures designs
Medicine & Science in Sports & Exercise, 1990This paper outlines a method of analysis that is well-suited to repeated measures designs. This method uses polynomial functions of time to characterize an outcome variable measured at several distinct time points on the same subjects. Profiles for different treatment groups may be compared using the appropriate interaction terms in an analysis of ...
D, Holbert, T C, Chenier, K F, O'Brien
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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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