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Mixed Level Design

Edited by: Published: 2017
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A mixed level design is one that uses a combination of fixed and random factors. A fixed factor is one whose levels are chosen based on theoretical or practical interest, and the researcher wishes to draw conclusions about those particular conditions or levels. Examples include whether a message is one- or two-sided and whether arguments are strong or weak. A random factor is one whose levels are selected randomly from a larger population of options. The chosen levels are assumed to be representative of the population of interest, and the researcher is interested in statistical generalizations back to that population. The most common example is the participants factor in an experimental design. Participants are presumed to be randomly selected from a population of ...

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