13 Oct Are all or some of the logistic regression assumptions for the main research question of interest satisfied? Show your work in support of your conclusion. 6. (10 points) Perform the logis
5. (10 points) Are all or some of the logistic regression assumptions for the main research question
of interest satisfied? Show your work in support of your conclusion.
6. (10 points) Perform the logistic regression analysis to address the main research question of
interest. (Hint: Intentionbinary is your dependent variable. Age, gender and total score
variables for each component are your independent variables. In this dataset age is a categorical
variable (see values for age in the dataset). Perform the analysis regardless of whether the
assumptions met in the previous question. )
7. (15 points) Report and interpret your results for main research question of interest in terms of
β coefficients.
8. (15 points) Report and interpret your results for the main research questions of interest in
terms of AOR (adjusted odds ratio).
Nia Maye
12 Oct 2022
PUBH 7140
M_8 Assignment
H0:Are there components of the health belief model (perceived threat, benefits of vaccination, barriers to vaccination, self-efficacy) associated with vaccination intention controlling for gender and age?
HA: There are no perceived components of the health belief model (perceived threat, benefits of vaccination, barriers to vaccination, self-efficacy) associated with vaccination intention controlling for gender and age.
1. Syntax
DATASET ACTIVATE DataSet1.
DESCRIPTIVES VARIABLES=TotalPercThreatScore
/SAVE
/STATISTICS=MEAN STDDEV MIN MAX.
Output
|
Descriptive Statistics |
|||||
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
|
TotalPercThreatScore |
864 |
4.00 |
20.00 |
9.6806 |
3.47176 |
|
Valid N (listwise) |
864 |
The minimum of the total perceived threat score is, and the maximum score is 20 once the sum is calculated.
2. Syntax
COMPUTE TotalPercBenefitScore=Benef1 + Benef2 + Benef3 + Benef4 + Benef5.
EXECUTE.
DESCRIPTIVES VARIABLES=TotalPercBenefitScore
/SAVE
/STATISTICS=MEAN STDDEV MIN MAX.
Output
|
Descriptive Statistics |
|||||
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
|
TotalPercBenefitScore |
864 |
5.00 |
25.00 |
16.0532 |
5.79003 |
|
Valid N (listwise) |
864 |
The minimum of the total perceived benefit score is 5, and the maximum score is 25 once the sum is calculated.
3. Syntax
COMPUTE TotalPercBarrierScore=Barier1 + Barier2 + Barier3 + Barier4 + Barier5 + Barier6 + Barier7 + Barier8 + Barier9 + Barier10.
EXECUTE.
DESCRIPTIVES VARIABLES=TotalPercBarrierScore
/SAVE
/STATISTICS=MEAN STDDEV MIN MAX.
Output
|
Descriptive Statistics |
|||||
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
|
TotalPercBarrierScore |
864 |
10.00 |
50.00 |
20.9444 |
7.50970 |
|
Valid N (listwise) |
864 |
The minimum of the total perceived barrier score is 10, and the maximum score is 50 once the sum is calculated.
4. Syntax
DESCRIPTIVES VARIABLES=TotalSelfEfficacyScore
/STATISTICS=MEAN STDDEV MIN MAX.
Output
|
Descriptive Statistics |
|||||
|
N |
Minimum |
Maximum |
Mean |
Std. Deviation |
|
|
TotalSelfEfficacyScore |
864 |
5.00 |
25.00 |
18.7292 |
4.11996 |
|
Valid N (listwise) |
864 |
The minimum total self-efficacy score is 5, and the maximum score is 25 once the sum is calculated.
5. Syntax
FREQUENCIES VARIABLES=Threat1 Threat2 Threat3 Threat4 Benef1 Benef2 Benef3 Benef4 Benef5 Barier1
Barier2 Barier3 Barier4 Barier5 Barier6 Barier7 Barier8 Barier9 Barier10 Efic1 Efic2 Efic3 Efic4
Efic5
/STATISTICS=MODE
/ORDER=ANALYSIS.
6. Syntax
CORRELATIONS
/VARIABLES=Gender Age TotalPercThreatScore TotalPercBenefitScore TotalSelfEfficacyScore
TotalPercBarrierScore
/PRINT=TWOTAIL NOSIG FULL
/MISSING=PAIRWISE.
|
Correlations |
|||||||
|
Gender |
Age |
TotalPercThreatScore |
TotalPercBenefitScore |
TotalSelfEfficacyScore |
TotalPercBarrierScore |
||
|
Gender |
Pearson Correlation |
1 |
.009 |
.000 |
-.057 |
.024 |
.091** |
|
Sig. (2-tailed) |
.802 |
.989 |
.091 |
.487 |
.008 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
Age |
Pearson Correlation |
.009 |
1 |
.017 |
.077* |
.009 |
.019 |
|
Sig. (2-tailed) |
.802 |
.608 |
.023 |
.792 |
.569 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
TotalPercThreatScore |
Pearson Correlation |
.000 |
.017 |
1 |
.371** |
-.251** |
-.178** |
|
Sig. (2-tailed) |
.989 |
.608 |
<.001 |
<.001 |
<.001 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
TotalPercBenefitScore |
Pearson Correlation |
-.057 |
.077* |
.371** |
1 |
.062 |
-.477** |
|
Sig. (2-tailed) |
.091 |
.023 |
<.001 |
.067 |
<.001 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
TotalSelfEfficacyScore |
Pearson Correlation |
.024 |
.009 |
-.251** |
.062 |
1 |
.012 |
|
Sig. (2-tailed) |
.487 |
.792 |
<.001 |
.067 |
.714 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
TotalPercBarrierScore |
Pearson Correlation |
.091** |
.019 |
-.178** |
-.477** |
.012 |
1 |
|
Sig. (2-tailed) |
.008 |
.569 |
<.001 |
<.001 |
.714 |
||
|
N |
864 |
864 |
864 |
864 |
864 |
864 |
|
|
**. Correlation is significant at the 0.01 level (2-tailed). |
|||||||
|
*. Correlation is significant at the 0.05 level (2-tailed). |
7.
8.
,
PUBH 7140-01F-Applied Statistical Methods in Public Health
M8_Assignment
The following rules apply for this assignment:
• If applicable, answer the question under three headings.
1. SPSS syntax
2. Necessary SPSS output
3. Interpretation and/or conclusion of your analysis
• Organize your work in a reasonably neat and coherent way. Work scattered all over the page
without a clear ordering will receive very little credit.
• Only necessary output from the SPSS software should be in the submitted assignment.
• You are required to work INDIVIDUALLY.
• Justification does not include hundreds of pages of computer output with hopes you covered
all aspects. Justification is a well thought out and well-articulated rationale for what you do!
Do not JUST SUBMIT SPSS OUTPUTS or CODES
PUBH 7140-01F-Applied Statistical Methods in Public Health – Page 2 of 3
This assignment contains 8 questions for the total of 70 points.
Data : HBMcovid 19.sav is attached to a dropbox folder in folio.
This data contains 864 entries from self-reported measures on community adults reporting about
COVID-19 vaccination intention, health belief model components (perceived threat, benefits of
vaccination, barriers to vaccination, self-efficacy) and pandemic worry . Data was collected during
the first state of emergency declared in March 2020 in Romania.
Main Research Question:
Are there components of the health belief model (perceived threat, benefits of vaccination, barriers
to vaccination, self-efficacy) associated with vaccination intention controlling for gender and age?
All components of HBM were measured on a 6 point Likert scale.
1 = Strongly Disagree
2= Disagree
3= Slightly Disagree
4= Slightly Agree
5 = Agree
6= Strongly Agree
Each participant in this survey was given ONE question related to the intention of getting the
vaccine. This question was measured on a binary scale (Intentionbinary). 1=Participant will take
the vaccine, and 0=Participant will not take the vaccine. The name of this binary variable in your
SPSS dataset attached in the dropbox is Intentionbinary.
1. (5 points) Each survey participant was provided with four questions related to the perceived
threat of COVID-19. These four questions have been measured on a scale of 1-6. 1= Strongly
disagree, and 6 = Strongly agree. Create a total perceived threat score for each participant
using the SUM of these four questions (threat 1-threat 4). For anyone participating in this
study, the maximum score may be 24, and the lowest score may be 4.
2. (5 points) Each survey participant was provided with five questions related to the perceived
benefits of COVID-19 vaccination. These five questions have been measured on a scale of 1-6.
1= Strongly disagree, and 6 = Strongly agree. Create a total perceived benefit score for each
PUBH 7140-01F-Applied Statistical Methods in Public Health – Page 3 of 3
participant using the SUM of these five questions (benef1-benef5). For anyone participating in
this study, the maximum score may be 30, and the lowest score may be 5.
3. (5 points) Each survey participant was provided with ten questions related to the perceived
barriers of COVID-19 vaccination. These ten questions have been measured on a scale of 1-6.
1= Strongly disagree, and 6 = Strongly agree. Create a total perceived barrier score for each
participant using the SUM of these ten questions (barier1-barier10). For anyone participating
in this study, the maximum score may be 60, and the lowest score may be 10.
4. (5 points) Each survey participant was provided with five questions related to the self-efficacy.
These five questions have been measured on a scale of 1-6. 1= Strongly disagree, and 6 =
Strongly agree. Create a total self-efficacy score for each participant using the SUM of these
five questions (efic1-efic5). For anyone participating in this study, the maximum score may be
30, and the lowest score may be 5.
5. (10 points) Are all or some of the logistic regression assumptions for the main research question
of interest satisfied? Show your work in support of yo
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