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:

  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.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:

    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:

Calculate Price


Price (USD)
$

SOLVED !!

10% OFF For This Assignment.

Use Coupon Code GET10 to claim 10% Discount This Month!!