Nurs 6208 final project and guidelines
NURS 6208 FINAL PROJECT AND GUIDELINES
The scheme must be patternwritten, enfold spaced and very poor in tediousness (apex 12 pages). Uses APA rules correctly, including quotation and considerations.
A NP discoveryer randomly specimend 100 women elderly 50-65 years and measured their minutes of employment in the departed week, BMI, and debasement. Debasement was measured using a Likert pattern flake consisting of 20 parts. The summation beak orderd from 20 to 100 and the excellent the beak, the excellent the flatten of debasement. The mutuality coefficients (Pearson’s rs) are summarized in the subjoined consideration. For the analyses, statistical weighty flatten was set at α=0.05.
Table 1: mutuality inchoate minutes of employment, BMI and debasement
Exercise in departed week (minutes) BMI
Depression beak -0.30 (P<0.05) 0.21
1. Write a discovery and trifling hypotheses in-reference-to the interconnection natant employment and debasement.
2. Based on the cupel statistics in consideration 1, what is you omission in-reference-to your discovery conjecture? (Hint: sift-canvass twain the body and line of the interconnection).
3. What rate of discord is shared by minutes of employment and debasement inchoate women 50-65 years of age?
4. For the interconnection natant minutes of employment and BMI, what was the estimated sway of the statistical cupel? (Using the sway consideration on page 202, consideration 9.1, Polit 2010). What was the occasion that a pattern II fault was committed?
5. If -0.20 is a good-tempered-tempered type of population amendment, what specimen bulk would be needed to consummate sway of 0.80 at α=0.05?
Using the “N6208 Final Scheme Data”, picked two waverings after a while trifling or ordinal flatten extents, and accomplish the picturesque statistics (estimate and percentage). [Please picked merely dichotomous waverings from the subjoined list: worknow, need, smoker, PoorHealth]. Then accomplish the bi-variate picturesque statistics using crosstabulation. Hand estimate the ARs, ARR, RR, and OR. Accomplish a chi-square separation. Write a reverberation after a while the subjoined sections: Introduction: Including the waverings, extent flattens, one bivariate discovery doubt, and one conjecture.
Method: Include specimen title (specimen bulk, eligibility criteria) and statistical methods used for grounds separation. (The specimen instruction can be base in “Polit Dataset Description” in SPSS Grounds Sets folder).
Results: Include frequencies and percentages for the two waverings, crosstabulation results, occasion condemnationes (ARs, ARR, RR, and OR), and chi-square cupel results. Include a fact epitome of the results and epitome consideration(s) for the results (Attach SPSS outputs).
Discussion: Write a reverberation including epitome and rendering of the findings reverberationed in the prior sections referring-to to the discovery doubts you posed.
Run a one-way ANOVA using the groundsset “N6208 Final Scheme Data”. The Dataset contains 1000 cases from the peculiar PolitDatasetA. Two waverings earn be used for this separation: Recompense and Houseproblem.
The wavering Housequantity is created using the wavering housprob, a epitome condemnation of view waverings environing prevalent housing quantitys for the women in this specimen—for stance, whether or not they had their utilities cut off, had vermin in the frank, had uncommon heed, and so forth. The wavering housprob is a calculate of the entirety estimate of times the women said “yes” to these view doubts. The wavering housprob is recoded into Housequantity domiciled on estimate of housing quantitys. The coding for Housequantity is: 1=no housing quantitys, 2=one housing quantity, and 3= two or over housing quantitys.
Satisfaction measures the overall recompense after a while esthetic sell-being. This wavering is a summated rating flake wavering for women’s responses to their quantity of recompense after a while indelicate aspects of their esthetic sell-being—their housing, subsistence, wares, and drapery for themselves and their posterity. Each part was coded from 1 (very morose) to 4 (very mannerly), so the overall beak for the indelicate parts could order from a low of 4 (4 X 1) to 16 (4 X 4). Excellent beak indicates superior recompense. This flake has an inside coherence Cronbach’s alpha of 0.90. The gratified power and build power entertain been recognized in prior discovery.
For this separation, use the wavering Housequantity as the rebellious (group) wavering and wavering Recompense as the conclusion wavering. To run the one-way ANOVA, click Analyze → Compare Instrument → Oneway. In the hole colloquy box, impel Recompense into the Dependent List and Housequantity into the slot for Factor. Click the Options pushbutton, and click Descriptives and Homogeneity of Variance, then remain. Next, click the Post Hoc pushbutton and picked LSD. Click remain, then OK, and counter-argument these doubts:
1. What are the average flattens of recompense in the three collections? Reverberation the average, SD, median, minimum, apex and specimen bulk in a consideration.
2. Write a discovery doubt.
3. Write the discovery conjecture and the trifling conjecture.
4. What was the appraise of the F statistic?
5. What were the quantitys of insubservience?
6. What was the presumption flatten for the F statistic? Can the trifling conjecture be uncommon?
7. According to the LSD cupel, were any collection averages weightyly unanalogous from any others? If yes, which ones?
8. Write a paragraph summarizing the results.
9. Attach the apt SPSS printouts.
EVALUATIVE CRITERIA FINAL PROJECT
Criteria 5 4 3 2 1
Clarity of discovery doubts and waverings (1-4 pts)
Accurate title of methods (1-4 pts)
Thoroughness and achievement of results (1-4 pts)
Accuracy of renderings (1-5 pts)
Overall attribute: logic, expression, APA format. (1-4 pts)
Total Score- max beak 21 points
1=inaccurate, all instruction is crime or did not get an counter-argument to the doubt 2=some instruction is crime
3=most instruction is respectful
4/5=all instruction is respectful after a while proud attribute on all aspects.