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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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SolutionManualfor
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StatisticsforNursingb b




ResearchAWorkbook
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forEvidence-Based
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Practice3rdEdition
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SusanGroveDaisha
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,Answer Guidelines for Questions to Be Graded

Identifying Levels of EXERCISE

Measurement: Nominal,
Ordinal, Interval, and Ratio
1

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 categories were
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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 at the
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ordinallevel becausetheycannot berankordered,sincenodrug category 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.
b b




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 data
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should be analyzed with parametric statistics such as the mean and SD (Grove & Gray, 2017; Knapp,
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2017).
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4. Researchersusedthefollowingitemtomeasureregisterednurses’(RNs)incomeinastudy:What b b b b b b b b b b b b b b




category identifies your current income as an RN?
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a. Lessthan$50,000
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b. $50,000to59,999
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c. $60,000to69,999
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d. $70,000to80,000
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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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areexhaustive,rangingfromlessthan$50,000togreaterthan $80,000. Thetwo open-ended
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AG1-1 b

,AG1-2 b Answer Guidelines for Questions to Be Graded b b b b b b




categoriesensurethatallsalarylevelsarecovered.Thecategories arenotexclusive,sincecatego-ries (d) b b b b b b b b b b b b b b b b




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 etal., 2017).
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5. WhatlevelofmeasurementistheCDSscore?Providearationaleforyouranswer.
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Answer: The CDS score is at the interval level of measurement. The CDS is a 26-item Likert scale b b b b b b b b b b b b b b b b b




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 tobe attheintervallevel
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of measurement(Grayet al., 2017; Waltz etal., 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 patientsinthis study? Provide a rationalefor your answer.
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Answer: Parametric statistics, such as mean and SD, were conducted to describe CDS scoresfor
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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 this
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result.
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Answer: The study narrative indicated that the prevalence of depression increased with the greater b b b b b b b b b b b b b




NYHA class. In NYHA class III, 64% of the subjects were depressed, whereas 11% of the subjects 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 andtreated 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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(%).
b




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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bformula: (group frequency ÷ total sample size) × 100%. For this study, (91 patients ÷ 106 b b b b b b b b b b b b b b b




sample size) × 100% = 0.858 × 100% = 85.8% = 86%. The final answer is rounded to the nearest
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whole percent as directed in the question. You could have also subtracted the 14% of patients
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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, steady-
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state functional capacity” of cardiac patients. This test would be a quick, easy way to determine a
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cardiac patient’s functional status in a clinical setting. This functional status score could be used to
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determine the treatment plan to promote or maintain functional statusof cardiac patients.
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, Answer Guidelines for Questions to Be Graded
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10. How was exercise confidence measured inthis study? What was thelevel of measurementfor the
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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 onwalking, climbing,lifting objects
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of graded weight, and running (see the study narrative). This was a rating scalewith valuesranging
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from 0to 100.The patients’ scoresforthe Total Exercise Confidencescaleand the subscales were
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considered interval-level data and analyzed with parametric statistics,such as means and SDs(see
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the study narrative; Waltz et al., 2017).
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Libro relacionado
 image
Susan K. Grove, Daisha J. Cipher Statistics for Nursing Research
Editorial: Desconocido ISBN: 9780323654111 Edición: Desconocido

Información del documento

Subido en
3 de julio de 2026
Número de páginas
77
Escrito en
2025/2026
Tipo
Examen
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