BTM8106-8-4 Jackson, Even-Numbered Chapter Exercises
A set of even-numbered chapter exercises on business research methodology.
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BTM8106-8-4 1
BTM8106-8-4 JACKSON, EVEN-NUMBERED CHAPTER EXERCISES, PP. 335-337.
2. How many independents variable are in 4 x 6 factorial design? How many conditions (cells)
are in this design?
There are two independent variables: one with 4 levels and one with 6 levels (Jackson,
2012, p. 316). There are 24 conditions (4 x 6).
4. What is the differences between a cell (Condition) mean and the means used to interpret a
main effect?
Cell means are the means of all separate conditions.
Means used to interpret a main effect are the means represented in the rows and columns
of a table, as shown by Jackson (2012, p. 324).
6. What is the differences between a complete factorial design and an incomplete factorial
design?
A complete factorial design is one in which all levels of each independent variable are
paired with all levels of every others independent variable. An incomplete factorial design also
has more than one independent variable, but all levels of each variable are not paired with all
levels of every other variable (Jackson, 2012, p. 315-316).
8. Explain the difference between a two- way ANOVA and a three-way ANOVA.
A two-way ANOVA is used to determine whether there is an interaction effect between
two independent variables on a continuous dependent. It extends the one-way ANOVA, which is
used to determine if such an interaction exists between just two independent variables (Laerd,
2015).
A three-way ANOVA is used to determine if there is an interaction effect between three
independent variables on a continuous dependent variable. It extends the two-way ANOVA,
BTM8106-8-4 JACKSON, EVEN-NUMBERED CHAPTER EXERCISES, PP. 335-337.
2. How many independents variable are in 4 x 6 factorial design? How many conditions (cells)
are in this design?
There are two independent variables: one with 4 levels and one with 6 levels (Jackson,
2012, p. 316). There are 24 conditions (4 x 6).
4. What is the differences between a cell (Condition) mean and the means used to interpret a
main effect?
Cell means are the means of all separate conditions.
Means used to interpret a main effect are the means represented in the rows and columns
of a table, as shown by Jackson (2012, p. 324).
6. What is the differences between a complete factorial design and an incomplete factorial
design?
A complete factorial design is one in which all levels of each independent variable are
paired with all levels of every others independent variable. An incomplete factorial design also
has more than one independent variable, but all levels of each variable are not paired with all
levels of every other variable (Jackson, 2012, p. 315-316).
8. Explain the difference between a two- way ANOVA and a three-way ANOVA.
A two-way ANOVA is used to determine whether there is an interaction effect between
two independent variables on a continuous dependent. It extends the one-way ANOVA, which is
used to determine if such an interaction exists between just two independent variables (Laerd,
2015).
A three-way ANOVA is used to determine if there is an interaction effect between three
independent variables on a continuous dependent variable. It extends the two-way ANOVA,
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University
Northcentral University
Subject
Business Management