Ashanti Lockette_u07a1_ANOVA
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u07a1 – ANOVA
Complete the following problems within this Word document. (Do not submit other files.) Show your work for problem sets that require calculations. Ensure that your answer to each problem is clearly visible. (You may want to highlight your answer or use a different type color to set it apart.)
Submit the document to your instructor by Sunday, 11:59 p.m. central time.
Problem Set 7.1: Critical Value
Criterion: Explain the relationship between k
and power based on calculated k
values.
Instructions:
Read the following and answer the question. Work through the following and write down what you see in the F-
table. This will help familiarize you with the table. The F-
table.
The degrees of freedom for the numerator (
k
− 1) are across the columns; the degrees of freedom
for the denominator (
N
− k
) are across the rows in the table. A separate table is included for a .05 and .01 level
of significance. Increasing the levels of the independent variable (
k
):
1.
Suppose we have a sample size of 24 participants (
N
= 24). Record the critical values given the following values for k
:
.05
.01
k
= 2
k
= 4
k
= 6
k
= 8
(4.30)
(3.10)
(2.77)
(2.66)
(7.95)
(4.94)
(4.25)
(4.03)
2.
As k
increases (from 1 to 8), does the critical value increase or decrease? Based on your answer, explain how k
is related to power. The critical value will decrease as K increases. The increase in test power will result in the rejection of the hypothesis.
Problem Set 7.2: Interpret ANOVA Results Criterion:
Interpret the results of an ANOVA.
Instruction:
Read the following and answer the question. Data:
Life satisfaction among sport coaches.
Drakou et al. (2006) tested differences in life satisfaction among sport coaches. They tested differences by sex, age, marital status, and education. The results of each test in the following table are similar to the way in which the data were given in their article.
Independent Variables
Life Satisfaction
M
SD
F
p
Sex
0.68
.409
Men
3.99
0.51
1
Independent Variables
Life Satisfaction
M
SD
F
p
Women
3.94
0.49
Age
3.04
.029
20s
3.85
0.42
30s
4.03
0.52
40s
3.97
0.57
50s
4.02
0.50
Marital status
12.46
.000
Single
3.85
0.48
Married
4.10
0.50
Divorced
4.00
0.35
Education
0.82
.536
High school
3.92
0.48
Postsecondary
3.85
0.54
University degree
4.00
0.51
Masters
4.00
0.59
1.
Which factors were significant at a .05 level of significance? The
martial Status and age
2.
State the number of levels for each factor.
Sex = 2 levels, Age = 4 levels, Marital Status = 3 levels, Education = 4 levels
Problem Set 7.3: One-way ANOVA in JASP
Criterion:
Calculate an ANOVA in JASP.
Data: Use the Stress data set. This data set is a record of the amount of fat (in grams) consumed in a buffet-
style lunch among professional bodybuilders under conditions of high, moderate, and low stress.
Instructions:
Complete the steps below.
1.
Download Stress data set. Double-click the icon to open the data set in JASP. 2.
In the Toolbar
, click ANOVA. In the menu that appears, under
Classical, select ANOVA.
3.
Select Fat grams consumed
and then click the upper Arrow
to send it over to the Dependent Variable
box.
4.
Select Stress level
and then click the lower Arrow
to send it over to the Fixed factors
box.
5.
Check the Descriptive statistics
box. 6.
Copy and paste the output below.
Note
: You will continue to use this data set for Problem Set 7.6.
2
Problem Set 7.4: One-way ANOVA in Excel
Criterion:
Calculate an ANOVA in Excel.
Instructions:
Use the data from the table below to complete the following steps:
a. Open Excel
to an empty sheet.
b.
Enter the data from this table:
Stress Levels
High Moderate
Low
10
9
9
7
4
4
8
7
6
12
6
5
6
8
7
c. In Row 1
, enter High in cell A1, Moderate in cell B1, and Low in cell C1.
d.
In the toolbar, click Data Analysis
, select Anova: Single Factor,
and click OK.
e. In Input Range
: $A$1:$C$6, put a check next to Labels in First Row
, click OK.
f.
Results will appear in a new sheet to the left, copy and paste the input below.
3
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Problem Set 7.5: One-way ANOVA Results in APA Style
Criterion:
Report ANOVA results in APA format.
Data:
Use the results from Problem Set 7.4.
Instructions:
Complete the following:
a.
State the null hypothesis. There is no relationship between stress and fat consumption between the three stress levels.
b.
Report your results in APA format (as you might see them reported in a journal article). There is not sufficient proof that stress levels are related to fat consumption. The means of the high, moderate, and low stress levels are not the same. Problem Set 7.6: Tukey HSD Test in JASP
Criterion:
Calculate post hoc analyses in JASP.
Data:
Use Stress data set from Problem Set 7.3.
Instructions:
Complete the steps below. (Note: The first 7 steps below are repeated from Problem Set 7.3.). 1.
Download Stress data set. Double-click the icon to open the data set in JASP. 2.
In the Toolbar
, click ANOVA. In the menu that appears, under
Classical, select ANOVA.
3.
Select Fat grams consumed
and then click the upper Arrow
to send it over to the Dependent Variable
box.
4.
Select Stress level
and then click the lower Arrow
to send it over to the Fixed factors
box.
5.
Check the Descriptive statistics
box. 6.
Select Post-Hoc Tests. In the menu that appears, select Stress level
and then click the Arrow
to move
it from the left to the right box.
7.
Check Standard
and Tukey
and uncheck any other boxes in the Post-Hoc area. 8.
Copy and paste the output below.
Note
: You will use these results for Problem Set 7.7.
4
Problem Set 7.7: Tukey HSD Interpretation
Criterion:
Interpret Tukey HSD results from JASP output.
Data: Use your output from Problem Set 7.6.
Instructions:
Identify where significant differences exist at the .05 level between the stress levels.
There are no significant differences that exist at the .05 level between the stress levels.
Problem Set 7.8 Variables for Week 9 Assignment
Criterion:
Define your two variables for the Week 9 Assignment.
Instructions: In this section you need to define the two specific variables you selected from the Grades data file for use in the Week 9 assignment and you need to define them in the following ways: (1) variable name and
definition, (2) scale of measurement (nominal, ordinal, interval, or ratio) which ties into WHICH type of statistical analysis you can use (Privitera, 2018).
Reference
Privitera, G. J. (2018). Statistics for the behavioral sciences
(3rd ed.). Sage.
5
6
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****Please text or email me if you have any questions
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