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timothyy5 timothyy5
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6 years ago
In an experiment with two independent variables, if the experimenter uses each participant as his or her own control, the design is called a _____ design.
 
  a. between subjects c. simple mixed
  b. between subjects factorial d. within subjects factorial



This is the preferred graph for presenting the results of a between subjects factorial ANOVA.
 
  a. pie chart c. bar graph
  b. line graph d. three-axis box plot



Which of these is an assumption that must be met in order to use the between subjects factorial ANOVA to analyze the data of an experiment?
 
  a. The manipulated variables must be fixed rather than random.
  b. The dependent variable must be normally distributed.
  c. There must be an equal number of subjects in each cell of the design.
  d. All of these are assumptions that must be met to use the formulas in the book.



Why do between subjects factorial studies rarely have more than three independent variable? It is because _____.
 
  a. they are too hard to interpret with more variables
  b. they are too costly to control properly
  c. they require too many participants
  d. all of these reasons were discussed in the textbook



In the between subjects factorial ANOVA, the term n in the calculation formulas refers to the number of _____.
 
  a. levels of both variables combined c. subjects in each cell
  b. participants in the experiment d. subjects in each column



In the between subjects factorial ANOVA, which the sum of squares associated with this source of variance is calculated last, and is found by subtracting out all other sources of variance.
 
  a. within cells c. Factor A
  b. interaction d. Factor B



When calculating the between subjects factorial ANOVA, T is the total _____.
 
  a. of the squared scores
  b. of the number of participants in the rows
  c. of the marginals
  d. number of levels of the two variables combined



When all three F ratios have the same degrees of freedom (as they do in a 2 2 between subjects factorial design), _____.
 
  a. the interaction is always significant
  b. there is an extra step necessary in the ANOVA
  c. they will all have the same value of obtained F
  d. they can all be compared to the same critical value of F



If a is the number of levels of Factor A and b is the number of levels of Factor B, the degrees of freedom associated with the interaction of these two variables equals _____.
 
  a. (a - 1)(b - 1) c. (a - 1) + (b - 1)
  b. ab(n - 1) d. N - 1



If a is the number of levels of Factor A and b is the number of levels of Factor B, the degrees of freedom for Factor B equals _____.
 
  a. a - 1 c. (a - 1)(b - 1)
  b. b - 1 d. N - 1
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timothyy5 Author
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6 years ago
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