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Solution Manual for Statistics for Nursing Research: A Workbook for Evidence-Based Practice 4th Edition by Susan K. Grove, All Chapters Updated 2025 || TEST BANK

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Solution Manual for Statistics for Nursing Research: A Workbook for Evidence-Based Practice 4th Edition by Susan K. Grove, All Chapters Updated 2025 || TEST BANK

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The questions are in bold followed by answers.
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1. In Table 1, identify the level of measurement for the current therapy variable. Provide
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C/a rationale for your answer.
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Answer: The current therapy variable was measured at the nominal level. These drug catego
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rieswere probably developed to be exhaustive for this study and included the categories of dr
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ugs thesubjects were receiving. However, the categories are not exclusive, since patients are u
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sually on more than one category of these drugs to manage their health problems. The curre
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nt therapies are not measured at the ordinal level because they cannot be rank ordered, since no
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drug category can be considered more or less beneficial than another drug category (see Fig
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ure 1-1; Grove & Gray, 2019).
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2. What is the mode for the current therapy variable in this study? Provide a ration
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ale for your answer.
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Answer: The mode for current therapy was β blocker. 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
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for thissample.
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3. What statistics were conducted to describe the BMI of the cardiac patients in this sam
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ple? 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 resu
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lted in ratio- C/ C/


level data with continuous values and an absolute zero (Stone & Frazier, 2017). Ratio-
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C/level data should be analyzed with parametric statistics such as the mean and SD (Grove & G
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ray,2017; Knapp, 2017).
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4. Researchers used the following item to measure registered nurses’ (RNs) income in a stud
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y:What category identifies your current income as an RN?
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a. Less than $50,000
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b. $50,000 to 59,999
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c. $60,000 to 69,999
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d. $70,000 to 80,000
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e. $80,000 or greater
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What level of measurement is this income variable? Does the income variable follow
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the 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 cat
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ego-
ries are exhaustive, ranging from less than $50,000 to greater than $80,000. The two open-
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ended

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,AG 1-2
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categories ensure that all salary levels are covered. The categories are not exclusive, since categ
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o-
ries (d) and (e) include an $80,000 salary, so study participants making $80,000 might mark
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either (d) or (e) or both categories, resulting in erroneous data. Category (e) could be ch
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angedto greater than $80,000, making the categories exclusive. The categories can be rank o
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rdered from the lowest salary to the highest salary, which is consistent with ordinal data (Gr
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ove & Gray, 2019; Waltz et al., 2017).
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5. What level of measurement is the CDS score? Provide a rationale for your answer.
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Answer: The CDS score is at the interval level of measurement. The CDS is a 26-
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item Likert scale developed to measure depression in cardiac patients. Study participants rat
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ed their symp-
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toms on a scale of 1 to 7, with higher numbers indicating increased severity in the depressi
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on symptoms. The total scores for each subject obtained from this multi-
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item scale are considered to be at the interval level of measurement (Gray et al., 2017; Waltz
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et al., 2017).
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6. Were nonparametric or parametric analysis techniques used to analyze the CDS scores f
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or the 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
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scoresfor study participants (see Table 1). CDS scores are interval-
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level data as indicated in Questions 5, so parametric statistics are appropriate for this level of dat
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a (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 importa
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nce of this result.C/ C/ C/


Answer: The study narrative indicated that the prevalence of depression increased with the g
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reater NYHA class. In NYHA class III, 64% of the subjects were depressed, whereas 11% of th
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esubjects were depressed in NYHA class I. Thus, as the NYHA class increased, the number of s
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ub-
jects with depression increased. This is an expected finding because as the NYHA class increase
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s, cardiac patients have more severe physical symptoms, which usually result in emotional distre
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ss, such as depression. Nurses need to actively assess cardiac patients for depression, especial
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ly thosein higher NYHA classes, so they 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 w
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ith an antidepressant? Show your calculations and round your answer to the nearest
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whole percent (%). C/ C/


Answer: A total of 106 cardiac patients participated in this study. The sample inclu
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ded 15 patients who were receiving an antidepressant (see Table 1). The number of cardi
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ac patients not treated for depression was 91 (106 –
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C/15 = 91). The group percent is calculatedby the following formula: (group frequen
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cy ÷ total sample size) × 100%. For this study,(91 patients ÷ 106 sample size) × 1
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00% = 0.858 × 100% = 85.8% = 86%. The finalanswer is rounded to the nearest wh
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ole percent as directed in the question. You could havealso subtracted the 14% of patie
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nts treated with antidepressants from 100% and obtained the 86% who were not treated wit
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h an antidepressant.
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9. What was the purpose of the 6-C/ C/ C/ C/ C/ C/


minute walk test (6MWT)? Would the 6MWT be useful in clinical practice?
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Answer: Ha et al. (2018) stated, “The 6- C/ C/ C/ C/ C/ C/ C/


min walk test (6MWT) is a measure of the submaximal,steady-
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state functional capacity” of cardiac patients. This test would be a quick, easy way to deter
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mine a cardiac patient’s functional status in a clinical setting. This functional statusscore
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could be used to determine the treatment plan to promote or maintain functional statu
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sof cardiac patients.
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, AnswerC / GuidelinesC / forC / QuestionsC / toC / BeC / Graded AGC/1-3


10. How was exercise confidence measured in this study? What was the level of measurem
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ent for the exercise confidence variable in this study? Provide a rationale for your ans
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wer. Answer: Exercise confidence of the patients with heart failure (HF) in this study was
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measuredwith the Exercise Confidence Scale that included four subscales focused on walkin
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g, climbing, lifting objects of graded weight, and running (see the study narrative). This w
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as a rating scalewith values ranging from 0 to 100. The patients’ scores for the Total Exerci
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se Confidence scaleand the subscales were considered interval-
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level data and analyzed with parametric statistics,such as means and SDs (see the study nar
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rative; Waltz et al., 2017).
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Libro relacionado
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Susan K. Grove, Daisha J. Cipher Statistics for Nursing Research
Editorial: 2024 ISBN: 9780323930505 Edición: Desconocido

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