Chapter11 Flashcards
Factorial Designs
Designs with more than one independent variable (or factor) closer to real world conditions
- Life is rarely that simple, there’s never just one factor involved
- factorial design helps you take into account theses other factors.
- Much closer approximation to real world conditions where indepent variables don’t exist by themselves
* Most effects depend on other factors
On exam: Mr. McDonald finds that the lower the price of hamburgers in his restaurant, the more hamburgers he sells. This relationship can best be identified as a relationship.
a. Negative
b. Dependent
c. Positive
d. Curvilinear
e. Neutral
a.) Negative relationship
when one goes up, the other goes down
- there will be one more question like this on the exam
Which of the following research projects require REB review?
a. Analysis of parliamentary archival data to evaluate whether male members of parliament ask longer questions than female members of parliament
b. Asking participants to increase chocolate intake to evaluate impact of chocolate on mood
c. Analysis of CCTV footage from a shopping mall to determine which shops are most popular with shoppers
d. Analysis of the prevalence of health-related storylines in soap operas broadcast on daytime televisione. All of the above
b. Is the only research project that doesn’t have public access
- ethic boards are overviewing anything that has direct influence on participants
Ultimately, who is most directly responsible for ensuring that a research project conducted within a university conforms to the ethical guidelines outlined in the Tri-Council Policy Statement (TCPS)?
a. The federal government b. The chair of the Research Ethics Board (REB) of the university
c. Individual researchers conducting the research project
d. The Vice President (Research) of the university
e. The participants
c. The individual researchers conducting the research project
- The process of conducting a risk-to-benefits analysis corresponds to which Belmont principle?
a. Respect for all persons
b. Justice
c. Concern for welfare
d. Beneficence
e. Equality
d- beneficence
What is the Belmont principle? Where the tops originates from
Thinking About Interactions
Interactions = “It depends!”
* IV #1’s effect depends on IV #2
* Need to ask WHEN
does IV #1 affect the
DV?
- 1 variable depends on the other
- used to ask specific questions
ex.
does this dug express?
Factorial design: would say when does this drug express
Factorial designs useful because:
- They’re efficient!
- Test more than one hypothesis
- Fewer participants (compared to many
studies) - Avoid invalid conclusions- they allow for more control of potentially confounding variables
- this control allows us to increase validity of conclusions
- Control for confounding
On exam: ex. a factorial design involves and you see several options
You must know that you would be manipulating two or more independent variables
Key terms on factorial design
Defined by:
* Number of IVs
* Number of levels
of each IV
* Cells: condition of the experiment (one of the groups that participants will be assigned to)
* Each unique combination of
levels
- factorial design is named based on the design on the number of independent variables and the number of levels of independent variables
2 x 2 Factorial Designs
Simplest factorial design: 2 x 2 factorial design
Has two independent variables
* Each IV has two dependent levels
ex. 120 participants, then randomly assign 30 participants to each section (4)
3x2 Factorial Designs
There can be different configurations with additional
levels
- two independent variables has three levels
ex. 120 particpants-20 to each cell
Has two
independent
variables
* One IV (IV#1) has 3
levels
* One IV (IV#2) has 2
levels
ex.
4x4 Factorial Designs
Factorial designs can get quite complicated
Has two
independent
variables that both have 4 levles
* One IV (IV#1) has 4
levels
One IV (IV#2) has 4
levels
ex. 160 particpiants
1o in each cell
- two independent variables each with 4 leves
exam: give senario with a couple of different levels of independent variables, must know what type of factorial design.
Count levels
the reasearch is using non medium and high levles of cafeeen
- and they are studying if this causes happinnes, sadness ofr no effect
this would be a 3/2 factorial design
Interpretation: Simple Research
Design
- lets you ask more complex questions
complement vs insult impact on mood in morning or evening
is a two by two factorial design
What is a simple main effect interpretation?
What we look at to determine how exactly an
interaction works
Interpretation: Simple Main Effect
* Examines the mean
differences at each level
of one independent
variable
* Different from an overall
main effect