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EXERCISE
Identifying Levels o u o u o
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rdinal, Interval, and Ratio u o
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1
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. Provid
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e 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
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usually on more than one category of these drugs to manage their health problems. The cur
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rent therapies are not measured at the ordinal level because they cannot be rank ordered, since
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no drug category can be considered more or less beneficial than another drug category (see
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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 ration
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ale foryour 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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3. What statistics were conducted to describe the BMI of the cardiac patients in this sa
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mple?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 res
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ulted in ratio- uo uo
level data with continuous values and an absolute zero (Stone & Frazier, 2017). Ratio-
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uolevel data should be analyzed with parametric statistics such as the mean and SD (Grove &
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Gray,2017; Knapp, 2017). uo uo uo
4. Researchers used the following item to measure registered nurses’ (RNs) income in a stu
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dy: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 follo
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w 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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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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uo Answeru o Guidelinesu o foru o Questionsu o tou o Beu o Graded
categories ensure that all salary levels are covered. The categories are not exclusive, since categ
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ries (d) and (e) include an $80,000 salary, so study participants making $80,000 might mar
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k either (d) or (e) or both categories, resulting in erroneous data. Category (e) could be
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changedto greater than $80,000, making the categories exclusive. The categories can be ran
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k ordered from the lowest salary to the highest salary, which is consistent with ordinal data
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o(Grove & 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 depress
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ion 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
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forthe 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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oscoresfor 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 da
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ta (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 import
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ance of this result. uo uo uo
Answer: The study narrative indicated that the prevalence of depression increased with the
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greater NYHA class. In NYHA class III, 64% of the subjects were depressed, whereas 11% of t
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hesubjects were depressed in NYHA class I. Thus, as the NYHA class increased, the number of
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osub-
jects with depression increased. This is an expected finding because as the NYHA class increas
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es, cardiac patients have more severe physical symptoms, which usually result in emotional dist
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ress, such as depression. Nurses need to actively assess cardiac patients for depression, espe
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cially 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
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with an antidepressant? Show your calculations and round your answer to the nearest
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whole percent (%).
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Answer: A total of 106 cardiac patients participated in this study. The sample incl
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uded 15 patients who were receiving an antidepressant (see Table 1). The number of car
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diac patients not treated for depression was 91 (106 –
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15 = 91). The group percent is calculatedby the following formula: (group freque
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ncy ÷ total sample size) × 100%. For this study,(91 patients ÷ 106 sample size) ×
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100% = 0.858 × 100% = 85.8% = 86%. The finalanswer is rounded to the nearest
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owhole percent as directed in the question. You could havealso subtracted the 14% of
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patients treated with antidepressants from 100% and obtained the 86% who were not treate
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d with an antidepressant.
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9. What was the purpose of the 6-
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minute walk test (6MWT)? Would the 6MWT be useful in clinical practice?
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Answer: Ha et al. (2018) stated, ―The 6- uo uo uo uo uo uo uo
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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uocould be used to determine the treatment plan to promote or maintain functional stat
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usof cardiac patients.
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10. How was exercise confidence measured in this study? What was the level of measurem
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entfor the exercise confidence variable in this study? Provide a rationale for your an
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swer. Answer: Exercise confidence of the patients with heart failure (HF) in this study was
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omeasuredwith the Exercise Confidence Scale that included four subscales focused on walki
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ng, climbing,lifting objects of graded weight, and running (see the study narrative). This
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was a rating scalewith values ranging from 0 to 100. The patients’ scores for the Total Exer
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cise 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 na
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rrative; Waltz et al., 2017).
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