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Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha

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Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha Solution Manual for Statistics for Nursing Research A Workbook for Evidence-Based Practice 3rd Edition Susan Grove Daisha

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Institution
Solution Manual For Statistics For Nursing
Course
Solution Manual For Statistics For Nursing

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SolutionManualfor t t




StatisticsforNursing t t




t ResearchAWorkbook t t




forEvidence-Based
t t




t Practice3rdEdition
t t




t SusanGroveDaisha
t t

, AnswerGuidelinesforQuestionstoBeGraded t t t t t t




EXERCISE
Identifying Levels of t




1
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Measurement: Nominal, t t




t Ordinal, Interval, and Ratio t t t




Thequestionsareinboldfollowedbyanswers.
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1. In Table 1, identify the level of measurement for the current therapy variable. Provide a
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rationale for your answer.
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Answer: The current therapy variable was measured at the nominal level. These drug categorieswere
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probably developed to be exhaustive for this study and included the categories of drugs the subjects
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were receiving. However, the categories are not exclusive, since patients are usually on more than one
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category of these drugs to manage their health problems. The current therapies are not measured atthe
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ordinallevel becausetheycannot berankordered,sincenodrugcategory can be considered more or less
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beneficial than another drug category (see Figure 1-1; Grove & Gray, 2019).
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2. What is the mode for the current therapy variable in this study? Provide a rationale for
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your answer.
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Answer: The mode for current therapy was βblocker. A total of 100 (94%) of the cardiac patients
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were receiving this category of drug, which was the most common prescribed drug for this
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sample.
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3. What statistics were conducted to describe the BMI of the cardiac patients in this sample?
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Discuss whether these analysis techniques were appropriate or inappropriate.
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Answer: BMI was described with a mean and standard deviation (SD). BMI measurement resulted in
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ratio-level data with continuous values and an absolute zero (Stone & Frazier, 2017). Ratio- level
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data should be analyzed with parametric statistics such as the mean and SD (Grove & Gray, 2017;
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Knapp, 2017).
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4. Researchers usedthefollowingitemto measure registered nurses’(RNs)incomein astudy:What t t t t t t t t t t t t t t




category identifies your current income as an RN?
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a. Lessthan$50,000
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b. $50,000to 59,999
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c. $60,000to69,999
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d. $70,000 to 80,000
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e. $80,000orgreater
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What level of measurement is this income variable? Does the income variable follow the
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rules outlined in Figure 1-1? Provide a rationale for your answer.
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Answer: In this example, the income variable is measured at the ordinal level. The income catego- ries
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are exhaustive, ranging from less than $50,000 to greater than $80,000. The two open-ended
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AG 1-1 t

,AG 1-2 t Answer Guidelines for Questions to Be Graded t t t t t t




categoriesensurethatallsalarylevelsarecovered.Thecategoriesarenotexclusive,sincecatego-ries (d) t t t t t t t t t t t t t t t t




and (e) include an $80,000 salary, so study participants making $80,000 might mark either (d) or (e)
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or both categories, resulting in erroneous data. Category (e) could be changed to greater than
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$80,000, making the categories exclusive. The categories can be rank ordered from the lowest salary
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to the highest salary, which is consistent with ordinal data (Grove & Gray, 2019; Waltz et al., 2017).
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5. What level of measurement isthe CDSscore? Provide arationale for your answer.
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Answer: The CDS score is at the interval level of measurement. The CDS is a 26-item Likert scalet t t t t t t t t t t t t t t t t




developed to measure depression in cardiac patients. Study participants rated their symp- toms on a
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scale of 1 to 7, with higher numbers indicating increased severity in the depression symptoms. The
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total scores for each subject obtained from this multi-item scale are considered to be at the interval
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level of measurement (Gray et al., 2017; Waltz et al., 2017).
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6. Were nonparametric or parametric analysis techniques used to analyze the CDS scores for the
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cardiac patients in this study? Provide a rationale for your answer.
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Answer: Parametric statistics, such as mean and SD, were conducted to describe CDS scores
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for study participants (see Table 1). CDS scores are interval-level data as indicated in Questions 5, so
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parametric statistics are appropriate for this level of data (Gray et al., 2017; Kim & Mallory, 2017).
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7. Is the prevalence of depression linked to the NYHA class? Discuss the clinical importance of
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this result.
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Answer: The study narrative indicated that the prevalence of depression increased with the greater
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NYHA class. In NYHA class III, 64% of the subjects were depressed, whereas 11% of thesubjects were
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depressed in NYHA class I. Thus, as the NYHA class increased, the number of sub- jects with depression
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increased. This is an expected finding because as the NYHA class increases, cardiac patients have more
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severe physical symptoms, which usually result in emotional distress, such as depression. Nurses need
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to actively assess cardiac patients for depression, especially those in higher NYHA classes, so they
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might be diagnosed and treated as needed.
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8. What frequency and percent of cardiac patients in this study were not being treated with an
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antidepressant? Show your calculations and round your answer to the nearest whole percent
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(%).
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Answer: A total of 106 cardiac patients participated in this study. The sample included 15 patients
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who were receiving an antidepressant (see Table 1). The number of cardiac patients not treated for
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depression was 91 (106 – 15 = 91). The group percent is calculated by the following
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tformula: (group frequency ÷ total sample size) × 100%. For this study, (91 patients ÷ 106 t t t t t t t t t t t t t t t




sample size) × 100% = 0.858 × 100% = 85.8% = 86%. The final answer is rounded to the
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nearest whole percent as directed in the question. You could have also subtracted the 14% of
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patients treated with antidepressants from 100% and obtained the 86% who were not treated with an
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antidepressant.
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9. What was the purpose of the 6-minute walk test (6MWT)? Would the 6MWT be useful in
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clinical practice?
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Answer: Ha et al. (2018) stated, “The 6-min walk test (6MWT) is a measure of the submaximal, t t t t t t t t t t t t t t t t




steady-state functional capacity” of cardiac patients. This test would be a quick, easy way to
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determine a cardiac patient’s functional status in a clinical setting. This functional status score
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could be used to determine the treatment plan to promote or maintain functional status of
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cardiac patients.
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, Answer Guidelines for Questions to Be Graded
t t t t t t AG 1-3
t




10. How was exercise confidence measured in this study? What was the level of measurementfor
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the exercise confidence variable in this study? Provide a rationale for your answer. Answer:
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Exercise confidence of the patients with heart failure (HF) in this study was measuredwith the
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Exercise Confidence Scale that included four subscales focused on walking, climbing,lifting
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objects of graded weight, and running (see the study narrative). This was a rating scalewith values
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ranging from 0 to 100. The patients’ scores for the Total Exercise Confidence scaleand the subscales
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were considered interval-level data and analyzed with parametric statistics,such as means and
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SDs(see the study narrative; Waltz et al., 2017).
t t t t t t t t t

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Solution Manual For Statistics For Nursing

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