Mathematics

Mathematics, 03.08.2019 22:30, alissalhenry

In a 4 x 2 factorial design, there are independent variables.

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Mathematics, 25.06.2019 01:20, whimsy

1.think about the mixed design idea (at least one independent variable is independent while the other is correlated). give me two benefits of this design (compared to a design that has only independently assigned independent variables or only correlated variables).2.you now know we consider both main effects and interactions in factorial designs. i hope that it is apparent that we also have a hypothesis (and null hypothesis) for each main effect as well as the interaction. think about a 2 x 2 design. for this pause problem, first describe any study (made up or a real one) that has a 2 x 2 design (just don’t use the one from your and then write out the three null hypotheses (one for factor a, one for factor b, and the interaction of factors a and b!

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Mathematics, 22.07.2019 21:30, anthonymcnulty321

Suppose you were interested in conducting an experiment with two independent variables. why should you use a factorial design instead of two separate experiments? a. the factorial design has greater reliability than two separate experiments. b. the factorial design has a decreased chance of experimenter bias affecting the outcome. c. the factorial design allows you to test for main effects. d. the factorial design allows you to test for interactions

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Physics, 08.10.2019 20:40, ThePotato381

Dr. gavin decides that instead of conducting a 2 ´ 4 independent-groups factorial design, he is going to conduct a 2 ´ 4 within-subjects factorial design. which of the following things will change?

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Social Studies, 04.11.2019 23:31, monkeys450

"internet research by strassberg and holty (2003) compared responses to women s personal ads. the researchers presented participants with an ad focusing on different characteristics such as 1) slim and attractive, 2) sensual and passionate, 3) painting and hiking, or 4) financially independent and ambitious. this is an example of a " a) factorial design b) repeated measures design c) mixed factorial design d) non-experimental design

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