Question

1. You are studying male dominance and how it is influenced by the effect of facial hair, the effect of clothing type, and the effect of facial expression.

What type of factorial design is this (think 2x2, 2x3, 3x3, 2x3x3, etc.)?

2. You are studying male dominance and how it is influenced by the effect of facial hair, the effect of clothing type, and the effect of facial expression.

How many conditions are there?

Answer #1

1. In this representation, the number of numbers (in our case 3, facial expression,facial hair, clothing) ) signifies how many factors there are and the number values tell you how many variations/variable are there in each factors. In our case I have assumed these many variable against each factors:

- Facial hair : (Yes or No) : 2 Variables
- Clothing : ( Summer or Winter) : 2 variables
- Facial expression : (Happy, Sad, Neutral) : 3 variables.

So our factorial design will be of (2 X 2 X 3) . In case we consider clothing has 3 variables (summer, winter and spring) then our factorial design will be (2 X 2 X 3)

2. Conditions is equal to some of all the number in factorial design. In our first case where factorial design is (2 X2 X3) it will be 2*2*3 = 12.

If clothing has three variables then it will be 2*3*3 = 18

1. You are studying male dominance and how it is influenced by
the effect of facial hair, the effect of clothing type, and the
effect of facial expression.
What are IV A, IV B, and IV C?
2. You are studying male dominance and how it is influenced by
the effect of facial hair, the effect of clothing type, and the
effect of facial expression.
What will be the levels of each (IV A, IV B, IV C)?
3. You...

-------
1. You are studying male dominance and how it is influenced by
the effect of facial hair, the effect of clothing type, and the
effect of facial expression.
What are IV A, IV B, and IV C?
2. You are studying male dominance and how it is influenced by
the effect of facial hair, the effect of clothing type, and the
effect of facial expression.
What will be the levels of each (IV A, IV B, IV C)?
3....

If you find two significant main effects in a 2 x 3 factorial
design, should you compute Tukey's post hoc comparisons for
both?
A 2 x 3 x 5 factorial design has how many possible main
effects?
How many conditions are in a 3 x 3 factorial design?
What statistical test would I run to analyze the results of a 2
x 2 x 4 x 4 factorial design?

Factorial Assignment
For the following, answer these questions
1. Identify the design (e.g., 2 X 2 factorial).
2. Identify the total number of conditions.
3. Identify the independent variable(s) and levels (this could
include PVs).
4. Is this an IV X PV design? If so, identify the participant
variable(s).
5. Is this a repeated measures (within subject) design? If so,
identify the repeated variable(s). And/Or
6. Identify the dependent variable(s).
A researcher investigated the effect of a child's hair length...

What is a main effect? What is the general rule for determining
how many main effects there are in an experiment? What does it mean
if you have a significant interaction in a factorial design?
Generally speaking, how can you identify an interaction from a
graphical depiction of data?

A student set out to see if female students spend more
time studying than male students. He randomly surveyed 30 females
and 30 males and asked them how much time they spend studying, on
average, per day. The data is obtained is shown below.
H0: mean study time for females = mean study time for
males
H1: mean study time for females > mean study time for
males
Could you have made an error in your decision? If so,
what?...

You decide to do a 2 x 2 between subjects factorial design to
examine how feedback on Facebook posts influence well-being. You
are studying active (multiple posts a day) Facebook users.
There are two independent variables, each with two levels. IV A
is Facebook "likes." For two days, participants will receive zero
"likes" on all their Facebook posts or between 25-50 "likes" on all
posts. IV B is Facebook comments. For two days, participants will
receive no comments on all...

A researcher wants to investigate whether mindfulness
training improves ability for employees to notice positive
experiences in the workplace, and if this differs by disposition. A
factorial design was used to analyze the data. The variables are
described below:
· Employees were randomly
assigned to one of two groups: no training or a half-day
session.
· Disposition was categorized
as follows: optimist, pessimist or realist.
· Ability to notice positive
experiences in the workplace was quantified using a Likert-based
ambulatory...

~ Part I: Rules ~ Dominance and Recessive Traits
(1.) What is the chromosome number (“n”) for the dragons?
(2.) Which trait(s) exhibit incomplete dominance?
(3.) What does it mean for a trait to be incompletely
dominant?
(4.) No allelic combination is described as being heterozygous
recessive. Why do you think this is the case? Some Traits are
Sex-linked
(5.) Which dragon trait(s) is/are sex-linked?
(6.) How do sex-linked traits differ from autosomal traits?
Color and Lethal Combinations
(7.) Describe...

43 college students
44% male, 56% female
Students reported on the number of hours spent studying per
week (0-40 hours), their life satisfaction (scale from 0-100),
degree of stress they experienced over the last month (scale 0-5),
and completed an IQ test (40-160).
Students also reported their gender (1=male, 2=female) and
cumulative GPA.
For each of the statistical analyses (5 total) performed, you
need to provide responses to two questions:
What type of statistical analysis was used to
examine what...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 28 seconds ago

asked 28 seconds ago

asked 1 minute ago

asked 13 minutes ago

asked 16 minutes ago

asked 17 minutes ago

asked 31 minutes ago

asked 34 minutes ago

asked 44 minutes ago

asked 46 minutes ago

asked 50 minutes ago

asked 1 hour ago