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Randomized Experimental Designs

Journal of the American Academy of Child & Adolescent Psychiatry, 2000
In the last column, we discussed quasi-experimental designs and some of their weaknesses. Remember that quasi- and randomized experimental designs both have an active or manipulated independent variable, but in randomized designs the participants are randomly assigned to the experimental and control groups.
Robert J. Harmon   +2 more
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The Experimental Design

1992
This chapter describes how the experiments were organized. I started with a series of game-playing experiments described in Section 1. Following up the game-playing experiments, I organized computer tournaments with strategies designed by subjects. The organization of the computer tournaments is explained in Section 2.
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The Experimental Design

1994
The experiment was conducted at the Bonn Laboratory of Experimental Economics. The subjects were mostly students of economics and law who never participated in a twoperson bargaining game before. They were informed about the bargaining rules in a 20 minutes introductory session (for details, see Appendix A).
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Experimental design and husbandry

Experimental Gerontology, 1997
Rodent gerontology experiments should be carefully designed and correctly analyzed so as to provide the maximum amount of information for the minimum amount of work. There are five criteria for a "good" experimental design. These are applicable both to in vivo and in vitro experiments: (1) The experiment should be unbiased so that it is possible to ...
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Factorial experimental designs

International Journal of Injury Control and Safety Promotion, 2016
Intervention studies are typically performed as ‘experiments,’ in the sense that a single ‘factor’ is allowed to vary while the others are held constant or accounted for in the analyses.
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Experimental design

2009
Hugh Garavan, Kevin Murphy
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Statistics and Experimental Design

2006
This chapter presents the various procedures that can be used to assess variation and difference in datasets, comparison of data to models (i.e. curve fitting), confidence intervals and detection of multiple populations. Hypothesis testing also is described.
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Robustness of an experimental design

2000
Dodelin, V.   +2 more
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