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Statistics for Nursing Research: A Workbook for Evidence-Based Practice – 2nd Edition (Susan Grove) | Complete Solution Manual

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This document provides the full solution manual for Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition by Susan Grove. It contains step-by-step solutions to all chapters and exercises, covering descriptive and inferential statistics, probability, hypothesis testing, correlation, regression, analysis of variance, and application of statistical methods in nursing research. The material supports nursing students in mastering quantitative analysis and applying evidence-based practice.

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Institution
Statistics For Nursing Research A Workbook For Evi
Course
Statistics For Nursing Research A Workbook For Evi

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Uploaded on
September 8, 2025
Number of pages
85
Written in
2025/2026
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Exam (elaborations)
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  • 2025

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Solution Manual For
Statistics For Nursing
Research A Workbook
For Evidence-Based

Practice 3rd Edition

Susan Grove Daisha

,Answer Guidelines For Questions To Be Graded


Identifying Levels Of
Measurement: Nominal, EXERCISE 1
Ordinal, Interval, And Ratio
The Questions Are In Bold Followed By Answers.

1. In Table 1, Identify The Level Of Measurement For The Current Therapy Variable. Provide A
Rationale For Your Answer.
Answer: The Current Therapy Variable Was Measured At The Nominal Level. These Drug
Categories Were Probably Developed To Be Exhaustive For This Study And Included The
Categories Of Drugs The Subjects Were Receiving. However, The Categories Are Not Exclusive,
Since Patients Are Usually On More Than One Category Of These Drugs To Manage Their Health
Problems. The Current Therapies Are Not Measured At The Ordinal Level Because They Cannot Be
Rank Ordered, Since No Drug Category Can Be Considered More Or Less Beneficial Than Another
Drug Category (See Figure 1-1; Grove & Gray, 2019).

2. What Is The Mode For The Current Therapy Variable In This Study? Provide A Rationale For
Your Answer.
Answer: The Mode For Current Therapy Was Β Blocker. A Total Of 100 (94%) Of The Cardiac
Patients Were Receiving This Category Of Drug, Which Was The Most Common Prescribed Drug
For This Sample.

3. What Statistics Were Conducted To Describe The BMI Of The Cardiac Patients In This Sample?
Discuss Whether These Analysis Techniques Were Appropriate Or Inappropriate.
Answer: BMI Was Described With A Mean And Standard Deviation (SD). BMI Measurement
Resulted In Ratio-Level Data With Continuous Values And An Absolute Zero (Stone & Frazier,
2017). Ratio- Level Data Should Be Analyzed With Parametric Statistics Such As The Mean And
SD (Grove & Gray, 2017; Knapp, 2017).

4. Researchers Used The Following Item To Measure Registered Nurses’ (Rns) Income In A Study: What
Category Identifies Your Current Income As An RN? A. Less Than $50,000
b. $50,000 To 59,999

,c. $60,000 To 69,999
d. $70,000 To 80,000
e. $80,000 Or Greater

What Level Of Measurement Is This Income Variable? Does The Income Variable Follow The
Rules Outlined In Figure 1-1? Provide A Rationale For Your Answer.
Answer: In This Example, The Income Variable Is Measured At The Ordinal Level. The Income
Catego- Ries Are Exhaustive, Ranging From Less Than $50,000 To Greater Than $80,000. The Two
Open-Ended

AG 1-1
AG 1-2 Answer Guidelines For Questions To Be Graded


Categories Ensure That All Salary Levels Are Covered. The Categories Are Not Exclusive, Since
Catego- Ries (D) And (E) Include An $80,000 Salary, So Study Participants Making $80,000 Might
Mark Either (D) Or (E) Or Both Categories, Resulting In Erroneous Data. Category (E) Could Be
Changed To Greater Than $80,000, Making The Categories Exclusive. The Categories Can Be Rank
Ordered From The Lowest Salary To The Highest Salary, Which Is Consistent With Ordinal Data
(Grove & Gray, 2019; Waltz Et Al., 2017).

5. What Level Of Measurement Is The CDS Score? Provide A Rationale For Your Answer.
Answer: The CDS Score Is At The Interval Level Of Measurement. The CDS Is A 26-Item Likert
Scale Developed To Measure Depression In Cardiac Patients. Study Participants Rated Their Symp-
Toms On A Scale Of 1 To 7, With Higher Numbers Indicating Increased Severity In The Depression
Symptoms. The Total Scores For Each Subject Obtained From This Multi-Item Scale Are
Considered To Be At The Interval Level Of Measurement (Gray Et Al., 2017; Waltz Et Al., 2017).

6. Were Nonparametric Or Parametric Analysis Techniques Used To Analyze The CDS Scores
For The Cardiac Patients In This Study? Provide A Rationale For Your Answer.
Answer: Parametric Statistics, Such As Mean And SD, Were Conducted To Describe CDS Scores
For Study Participants (See Table 1). CDS Scores Are Interval-Level Data As Indicated In Questions
5, So Parametric Statistics Are Appropriate For This Level Of Data (Gray Et Al., 2017; Kim &
Mallory, 2017).

7. Is The Prevalence Of Depression Linked To The NYHA Class? Discuss The Clinical
Importance Of This Result.
Answer: The Study Narrative Indicated That The Prevalence Of Depression Increased With The
Greater NYHA Class. In NYHA Class III, 64% Of The Subjects Were Depressed, Whereas 11% Of
The Subjects Were Depressed In NYHA Class I. Thus, As The NYHA Class Increased, The Number
Of Sub- Jects With Depression Increased. This Is An Expected Finding Because As The NYHA
Class Increases, Cardiac Patients Have More Severe Physical Symptoms, Which Usually Result In
Emotional Distress, Such As Depression. Nurses Need To Actively Assess Cardiac Patients For
Depression, Especially Those In Higher NYHA Classes, So They Might Be Diagnosed And Treated
As Needed.

8. What Frequency And Percent Of Cardiac Patients In This Study Were Not Being Treated With
An Antidepressant? Show Your Calculations And Round Your Answer To The Nearest Whole
Percent (%).
Answer: A Total Of 106 Cardiac Patients Participated In This Study. The Sample Included 15
Patients Who Were Receiving An Antidepressant (See Table 1). The Number Of Cardiac Patients
Not Treated For Depression Was 91 (106 – 15 = 91). The Group Percent Is Calculated By The
Following Formula: (Group Frequency ÷ Total Sample Size) × 100%. For This Study,
(91 Patients ÷ 106 Sample Size) × 100% = 0.858 × 100% = 85.8% = 86%. The Final Answer Is
Rounded To The Nearest Whole Percent As Directed In The Question. You Could Have Also
Subtracted The 14% Of Patients Treated With Antidepressants From 100% And Obtained The 86%
Who Were Not Treated With An Antidepressant.

, 9. What Was The Purpose Of The 6-Minute Walk Test (6MWT)? Would The 6MWT Be Useful In
Clinical Practice?
Answer: Ha Et Al. (2018) Stated, “The 6-Min Walk Test (6MWT) Is A Measure Of The
Submaximal, Steady-State Functional Capacity” Of Cardiac Patients. This Test Would Be A Quick,
Easy Way To Determine A Cardiac Patient’s Functional Status In A Clinical Setting. This
Functional Status Score Could Be Used To Determine The Treatment Plan To Promote Or Maintain
Functional Status Of Cardiac Patients.
Answer Guidelines For Questions To Be Graded AG 1-3



10. How Was Exercise Confidence Measured In This Study? What Was The Level Of
Measurement For The Exercise Confidence Variable In This Study? Provide A Rationale For
Your Answer. Answer: Exercise Confidence Of The Patients With Heart Failure (HF) In This Study
Was Measured With The Exercise Confidence Scale That Included Four Subscales Focused On
Walking, Climbing, Lifting Objects Of Graded Weight, And Running (See The Study Narrative).
This Was A Rating Scale With Values Ranging From 0 To 100. The Patients’ Scores For The Total
Exercise Confidence Scale And The Subscales Were Considered Interval-Level Data And Analyzed
With Parametric Statistics, Such As Means And Sds (See The Study Narrative; Waltz Et Al., 2017).

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