NURS 6208 Final Assignment
NURS 6208 Final Assignment
NURS 6208 Final Assignment
NURS 6208 Final Assignment
NURS 6208 Final Assignment
NURS 6208 Final Assignment
NURS 6208 Final Assignment
The project must be typewritten, double spaced and very limited in length (maximum 12 pages).
Part I (25%)
A NP researcher randomly sampled 100 women aged 50-65 years and measured their minutes of exercise in the past week, BMI, and depression. Depression was measured using a Likert type scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the score, the higher the level of depression. The Pearson correlation coefficients (r’s) are summarized in the following table. For the analyses, statistical significant level was set at α=0.05.
Table 1: correlation among minutes of exercise, BMI and depression
Exercise in past week (minutes)
BMI
BMI
-0.15
Depression score
-0.30*
0.20
*p < 0.05
1. Write a research and null hypotheses regarding the relationship between exercise and depression.
2. Based on the test statistics in table 1, what is your conclusion regarding your research hypothesis? (Hint: discuss both the magnitude and direction of the relationship).
3. What proportion of variance is shared by minutes of exercise and depression among women 50-65 years of age?
4. For the relationship between minutes of exercise and BMI,
a. what was the estimated power of the statistical test? (Using the power table on page 202, table 9.1, Polit 2010).
b. What was the risk that a type II error was committed?
5. If -0.20 is a good estimation of population correlation, what sample size would be needed to achieve power of 0.80 at a significance α=0.05?
PART II. (25%)
Using the “N6208 Final Project Data”,
a). select two variables with nominal or ordinal level measurements, and perform the descriptive statistics (frequency and percentage). [Please select only dichotomous variables from the following list: poverty, smoker, PoorHealth].
b). perform the bi-variate descriptive statistics using crosstabulation.
c). Hand calculate the ARs, ARR, RR, and OR. Show all your calculations.
d). Perform a chi-square analysis.
e). Using APA format, write a full report with the following sections:
1. Introduction: Describe your research question and hypothesis. Include the variables, measurement levels, the bivariate research question, and the hypothesis [for example, the event of adverse risk (using your variable name here, for instance, alcohol usage) will be higher/or lower in the risk exposed group (i.e., marijuana use) compare to the non-exposed group (non-users of marijuana)].
2. Method: Include the sample description (sample size, eligibility criteria) and statistical methods used for data analysis. (The sample information can be found in “Polit Dataset Description” in SPSS Data Sets folder).
3. Results: Include frequencies and percentages for the two variables, crosstabulation results, risk indexes (ARs, ARR, RR, and OR), and chi-square test results. Include a summary table for the results and write your interpretation. (Attach SPSS outputs).
4. Discussion: Write a report including summary and interpretation of the findings reported in the previous sections relative to the research questions you posed in your introduction.
Part III. (50%)
Run a one-way ANOVA using the dataset “N6208 Final Project Data”. The Dataset contains 462 cases from the original PolitDatasetA. Two variables will be used for this analysis: Satisfaction and Houseproblem.
The variable Houseproblem is created using the variable housprob, a summary index of eight variables about current housing problems for the women in this sample—for example, whether or not they had their utilities cut off, had vermin in the household, had unreliable hear, and so forth. The variable housprob is a count of the total number of times the women said “yes” to these eight questions. The variable housprob is recoded into Houseproblem based on number of housing problems. The coding for Houseproblem is: 1=no housing problems, 2=one housing problem, and 3= two or more housing problems.
Satisfaction measures the overall satisfaction with material sell-being. This variable is a summated rating scale variable for women’s responses to their degree of satisfaction with four aspects of their material sell-being—their housing, food, furniture, and clothing for themselves and their children. Each item was coded from 1 (very dissatisfied) to 4 (very satisfied), so the overall score for the four items could range from a low of 4 (4 X 1) to 16 (4 X 4). Higher score indicates greater satisfaction. This scale has an internal consistency Cronbach’s alpha of 0.90. The content validity and construct validity have been established in previous research.
For this analysis, use the variable Houseproblem as the independent (group) variable and variable Satisfaction as the outcome variable. To run the one-way ANOVA, click Analyze → Compare Means → Oneway. In the opening dialogue box, move Satisfaction into the Dependent List and Houseproblem into the slot for Factor. Click the Options pushbutton, and click Descriptives and Homogeneity of Variance, then continue. Next, click the Post Hoc pushbutton and select LSD. Click continue, then OK, and answer the following questions using compete sentences:
- What are the mean levels of satisfaction in the three groups? Report the mean, SD, minimum, maximum and sample size in a table.
- Write a research question.
- Write the research hypothesis (Ha) and the null hypothesis (Ho).
- What was the value of the F statistic and its p-value?
- Can the null hypothesis be rejected?
- What were the degrees of freedom?
- According to the LSD test, were any group means significantly different from any others? If yes, which ones?
- Write a paragraph summarizing all the results.
- Attach the relevant SPSS printouts.NURS 6208 FINAL Project and guidelinesThe project must be typewritten, double spaced and very limited in length (maximum 12 pages).
Part I (25%)
A NP researcher randomly sampled 100 women aged 50-65 years and measured their minutes of exercise in the past week, BMI, and depression. Depression was measured using a Likert type scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the score, the higher the level of depression. The Pearson correlation coefficients (r’s) are summarized in the following table. For the analyses, statistical significant level was set at α=0.05.
Table 1: correlation among minutes of exercise, BMI and depression
Exercise in past week (minutes) BMI BMI -0.15 Depression score -0.30* 0.20 1. Write a research and null hypotheses regarding the relationship between exercise and depression.
2. Based on the test statistics in table 1, what is your conclusion regarding your research hypothesis? (Hint: discuss both the magnitude and direction of the relationship).
3. What proportion of variance is shared by minutes of exercise and depression among women 50-65 years of age?
4. For the relationship between minutes of exercise and BMI,
a. what was the estimated power of the statistical test? (Using the power table on page 202, table 9.1, Polit 2010).
b. What was the risk that a type II error was committed?
5. If -0.20 is a good estimation of population correlation, what sample size would be needed to achieve power of 0.80 at a significance α=0.05?
PART II. (25%)
Using the “N6208 Final Project Data”,
a). select two variables with nominal or ordinal level measurements, and perform the descriptive statistics (frequency and percentage). [Please select only dichotomous variables from the following list: poverty, smoker, PoorHealth ].
b). perform the bi-variate descriptive statistics using crosstabulation.
c). Hand calculate the ARs, ARR, RR, and OR. Show all your calculations.
d). Perform a chi-square analysis.
e). Using APA format, write a full report with the following sections:
1. Introduction: Describe your research question and hypothesis. Include the variables, measurement levels, the bivariate research question, and the hypothesis [for example, the event of adverse risk (using your variable name here, for instance, alcohol usage) will be higher/or lower in the risk exposed group (i.e., marijuana use) compare to the non-exposed group (non-users of marijuana)].
2. Method: Include the sample description (sample size, eligibility criteria) and statistical methods used for data analysis. (The sample information can be found in “Polit Dataset Description” in SPSS Data Sets folder).
3. Results: Include frequencies and percentages for the two variables, crosstabulation results, risk indexes (ARs, ARR, RR, and OR), and chi-square test results. Include a summary table for the results and write your interpretation. (Attach SPSS outputs).
4. Discussion: Write a report including summary and interpretation of the findings reported in the previous sections relative to the research questions you posed in your introduction.
Part III. (50%)
Run a one-way ANOVA using the dataset “N6208 Final Project Data”. The Dataset contains 462 cases from the original PolitDatasetA. Two variables will be used for this analysis: Satisfaction and Houseproblem .
The variable Houseproblem is created using the variable housprob, a summary index of eight variables about current housing problems for the women in this sample—for example, whether or not they had their utilities cut off, had vermin in the household, had unreliable hear, and so forth. The variable housprob is a count of the total number of times the women said “yes” to these eight questions. The variable housprob is recoded into Houseproblem based on number of housing problems. The coding for Houseproblem is: 1=no housing problems, 2=one housing problem, and 3= two or more housing problems.
Satisfaction measures the overall satisfaction with material sell-being. This variable is a summated rating scale variable for women’s responses to their degree of satisfaction with four aspects of their material sell-being—their housing, food, furniture, and clothing for themselves and their children. Each item was coded from 1 (very dissatisfied) to 4 (very satisfied), so the overall score for the four items could range from a low of 4 (4 X 1) to 16 (4 X 4). Higher score indicates greater satisfaction. This scale has an internal consistency Cronbach’s alpha of 0.90. The content validity and construct validity have been established in previous research.
For this analysis, use the variable Houseproblem as the independent (group) variable and variable Satisfaction as the outcome variable. To run the one-way ANOVA, click Analyze → Compare Means → Oneway. In the opening dialogue box, move Satisfaction into the Dependent List and Houseproblem into the slot for Factor. Click the Options pushbutton, and click Descriptives and Homogeneity of Variance, then continue. Next, click the Post Hoc pushbutton and select LSD. Click continue, then OK, and answer the following questions using compete sentences:
1. What are the mean levels of satisfaction in the three groups? Report the mean, SD, minimum, maximum and sample size in a table.
2. Write a research question.
3. Write the research hypothesis (Ha) and the null hypothesis (Ho).
4. What was the value of the F statistic and its p-value?
5. Can the null hypothesis be rejected?
6. What were the degrees of freedom?
7. According to the LSD test, were any group means significantly different from any others? If yes, which ones?
8. Write a paragraph summarizing all the results.
9. Attach the relevant SPSS printouts.
EVALUATIVE CRITERIA FINAL PROJECT (Summer session only)
Criteria 5 4 3 2 1 Clarity of research questions and variables (1-4 pts) Accurate description of methods (1-4 pts) Thoroughness and accuracy of results (1-4 pts) Accuracy of interpretations (1-5 pts) Overall quality: logic, grammar, APA format. (1-4 pts) Total Score- max score 21 points Total score in percentage=total score/21 Legend:
1=inaccurate, all information is wrong or did not provide an answer to the question
2=some information is wrong
3=most information is accurate
4/5=all information is accurate with high quality on all aspects.
NURS 6208 FINAL PROJ
ECT AND GUIDELINES
The project must be typewritten, double spaced and very limited in length (maximum 12
pages).
Part I (
2
5
%
)
A NP researcher randomly sampled
1
00 women aged 50
–
65 years and measured their minutes of
exercise in the past week, BMI, and depression. Depression was measured using a Likert type
scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the
score, the higher
the level of depression. The
Pearson
corre
lation coefficients (r’s
) are
summarized in the following table. For the a
nalyses,
statistical significant level was set at
á=0.05
.
Table 1: correlation among minutes of exercise, BMI and depression
Exercise in past week
(minutes)
BMI
BMI
–
0.15
Depression score
–
0.
3
0
*
0.20
*
p <
0.05
1.
Write a research and null hypotheses regarding the relationship between exercise and
depression.
2.
Based on the test statistics in table 1, what is you
r
conclusion regarding your research
hypothesis? (Hint: discuss both the magnitude and direction of the relationship).
3.
What proportion of variance is shared by minutes of exercise and depression among women
50
–
65 years of age?
4.
For the relationship between m
inutes of exercise and BMI,
a.
what was the estimated power of the statistical test? (Using the power table on page
202, table 9.1, Polit 2010).
b.
What was the risk that a type II error was committed?
5.
If
–
0.
20
is a good estimation of population cor
rela
tion, w
hat sample size would be needed to
achieve power of 0.80 at
a significance
á=0.05?
PART II. (
25%
)
Using the “
N6208
Final Project Data
”
,
a).
select two variables with nominal or ordinal level measurements, and perform the
descriptive statistics (frequenc
y and percentage)
. [Please
select only dichotomous variables
from the following list:
poverty, smoker, PoorHealth
]
.
b).
perform the bi
–
variate descriptive statistics using crosstabulation.
c).
Hand calculate the ARs, ARR, RR, and OR.
Show all your calcu
lations.
d).
Perform a chi
–
square analysis.
e).
Using APA format, w
rite a
full
report with the following sections:
NURS 6208 FINAL PROJECT AND GUIDELINES
The project must be typewritten, double spaced and very limited in length (maximum 12
pages).
Part I (25%)
A NP researcher randomly sampled 100 women aged 50-65 years and measured their minutes of
exercise in the past week, BMI, and depression. Depression was measured using a Likert type
scale consisting of 20 items. The summation score ranged from 20 to 100 and the higher the
score, the higher the level of depression. The Pearson correlation coefficients (r’s) are
summarized in the following table. For the analyses, statistical significant level was set at
α=0.05.
Table 1: correlation among minutes of exercise, BMI and depression
Exercise in past week
(minutes)
BMI
BMI -0.15
Depression score -0.30* 0.20
*p < 0.05
1. Write a research and null hypotheses regarding the relationship between exercise and
depression.
2. Based on the test statistics in table 1, what is your conclusion regarding your research
hypothesis? (Hint: discuss both the magnitude and direction of the relationship).
3. What proportion of variance is shared by minutes of exercise and depression among women
50-65 years of age?
4. For the relationship between minutes of exercise and BMI,
a. what was the estimated power of the statistical test? (Using the power table on page
202, table 9.1, Polit 2010).
b. What was the risk that a type II error was committed?
5. If -0.20 is a good estimation of population correlation, what sample size would be needed to
achieve power of 0.80 at a significance α=0.05?
PART II. (25%)
Using the “N6208 Final Project Data”,
a). select two variables with nominal or ordinal level measurements, and perform the
descriptive statistics (frequency and percentage). [Please select only dichotomous variables
from the following list: poverty, smoker, PoorHealth].
b). perform the bi-variate descriptive statistics using crosstabulation.
c). Hand calculate the ARs, ARR, RR, and OR. Show all your calculations.
d). Perform a chi-square analysis.
e). Using APA format, write a full report with the following sections:
Reimbursement Rate Template
Type of Service
eg. -New office visit
-Established office visit
-Inpatient hospital
-individual psychotherapy
-group psychotherapy (see examples below)
CPT code Private insurer reimbursement rate for PMHNP Private insurer reimbursement rate for physicians Medicare
reimbursement rate for PMHNP
Medicare
reimbursement rate for physician
As the PMHNP becomes proficient in diagnosing and treating, it is also important to learn how to bill for your time. The CMS sets up codes to identify the type of service you are providing. You will generally complete this task at the end of the visit as you are documenting the visit with the client. Here are examples of the codes to know:
CPT Codes for Psychiatric and Psychological Procedures
HMSA recognizes the following service codes for the reporting of psychiatric and psychological services. (See Code Books for information on how to obtain the books.)
CPT Code Footnote(s) Description 90791 1 Psychiatric diagnostic evaluation 90792 1,3 Psychiatric diagnostic evaluation with medical services 90832 2 Psychotherapy, 30 minutes with patient and/or family member 90833 2,3 Psychotherapy, 30 minutes with patient and/or family member when performed with an evaluation and management service 90834 4 Psychotherapy, 45 minutes with patient and/or family member 90836 3,4 Psychotherapy, 45 minutes with patient and/or family member when performed with an evaluation and management service 90837 6 Psychotherapy, 60 minutes with patient and/or family member 90838 3,6 Psychotherapy, 60 minutes with patient and/or family member when performed with an evaluation and management service 90839 6 Psychotherapy for crisis; first 60 minutes 90840 2 each additional 30 minutes 90846 4 Family psychotherapy (without the patient present) 90847 4 Family psychotherapy (conjoint psychotherapy) (with patient present) 90849 4 Multiple-family group psychotherapy 90853 4 Group psychotherapy (other than of a multiple-family group) 90870 1, 5 Electroconvulsive therapy (includes necessary monitoring) 96101 1 Psychological testing (includes psychodiagnostic assessment of personality, psychopathology, emotionality, intellectual abilities, e.g., WAIS-R, Rorschach, MMPI) with interpretation and report, per hour.
Note: All hours of psychological testing done on a single day will be counted as one visit (either inpatient or outpatient as appropriate) toward the patient’s inpatient or outpatient visit maximum. However, payment will be made to the participating provider on a per-hour basis.
96118 1 Neuropsychological testing battery (e.g., Halstead-Reitan, Luria, WAIS-R) with interpretation and report, per hour
Note: All hours of psychological testing done on a single day will be counted as one visit (either inpatient or outpatient as appropriate) toward the patient’s inpatient or outpatient visit maximum. However, payment will be made to the participating provider on a per-hour basis.
Links to websites that discuss this:
http://www.mb-guide.org/medical-coding-guidelines.html
NURS 6670
Reimbursement Rate Template
Type of Service
eg.
–
New office visit
–
Established office visit
–
Inpatient hospital
–
individual psychotherapy
–
group psychotherapy
(see examples below)
CPT code
Private insurer
reimbursement
rate for PMHNP
Private
insurer
reimbursement
rate for
physicians
Medicare
reimbursement
rate for PMHNP
Medicare
reimbursement
rate for physician
As the PMHNP becomes proficient in diagnosing and treating, it is also important to learn how to bill for your time. The CMS
sets up codes to
identify the type of service you are providing. You will generally complete this task at the end of the visit as y
ou are documenting the visit with the
client. Here are examples of the codes to know:
CPT Codes for Psychiatric and Psychological Procedures
HMSA recognizes the following service codes for the reporting of psychiatric and psychological services. (See
Code Books
for information on how to obtain the
books.)
CPT Code
Footnote(s)
Description
NURS 6670
Reimbursement Rate Template
Type of Service
eg. -New office visit
-Established office visit
-Inpatient hospital
-individual psychotherapy
-group psychotherapy
(see examples below)
CPT code Private insurer
reimbursement
rate for PMHNP
Private insurer
reimbursement
rate for
physicians
Medicare
reimbursement
rate for PMHNP
Medicare
reimbursement
rate for physician
As the PMHNP becomes proficient in diagnosing and treating, it is also important to learn how to bill for your time. The CMS sets up codes to
identify the type of service you are providing. You will generally complete this task at the end of the visit as you are documenting the visit with the
client. Here are examples of the codes to know:
CPT Codes for Psychiatric and Psychological Procedures
HMSA recognizes the following service codes for the reporting of psychiatric and psychological services. (See Code Books for information on how to obtain the
books.)
CPT Code Footnote(s) Description
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