This document discusses nursing professionalism and factors that influence it such as level of education. It finds that professionalism is positively correlated with education level, as hospitals with more nurses holding bachelor's degrees have lower patient mortality rates. Improving working conditions and requiring continuous education can help increase professionalism. The conclusion is that education and experience are key to professionalism and conscious steps must be taken to improve it.

1. 1
Running Head: NURSING PROFESSIONALISM
2
NURSING PROFESSIONALISM
Nursing Professionalism
Name
Institution
Introduction
Generally, professionalism can be defined as the standard
of behavior members of a certain profession are expected to
display and this conduct is driven by the profession’s goals and
qualities. Nurses and other health care providers portray
professionalism by making sure they adhere to the set
regulations, principles and standards of clinical practices in
their attitudes, knowledge and behavior (Michiko et al., 2014,
579). Studies involving professionalism in the field of nursing
have revealed that patients under the care of a nurse displaying
professionalism have a higher chance of surviving than those
under the care of a less professional nurse which serves as
evidence for the importance of professionalism in nursing.

2. Professionalism and Education
Various surveys regarding nursing professionalism have been
done and in a recent one, nurses in Japan scored a mean of 6.74
while those in Turkey had a much higher score of 16.7. The
main variable in the set of nurses involved in the study was that
only 43.5% of the Japanese nurses had a baccalaureate or a
higher degree education level as compared to Turkey’s 79.5%.
This validates previous findings that have concluded that
professionalism in nursing or any other discipline increases
with the level of education of the practitioner of the specific
profession.
As mentioned above, professionalism is positively
correlated with education level but the importance of this has
been quantified by studies. It has been shown that increasing by
10% the number of nurses holding a bachelors degree or higher
in a hospital causes a 5% decrease in the chance that an
admitted patient will die within one month of admission
(Michiko et al., 2014, 584). It also significantly decreases the
likelihood of a patient dying due to sudden life threatening
complications. High education levels combined with nursing
experience are therefore vital in increasing professionalism.
Improving Professionalism
One of the ways to improve professionalism in the nursing
practice is by improving working conditions. With Japan as an
example, nurses work for long hours and have mandatory night
shifts without receiving adequate compensation which has led to
a high turnover rate. The low retention rate implies that nurses
do not gain professionalism resulting from experience. Hence, it
is imperative that health care institutions provide nurses with a
work environment that is conducive for professional growth.
The importance of education for professionalism has
been clearly established which makes improving the educational
status of nurses an obvious solution for improving
professionalism. Entry level requirements for the nursing
profession should be more stringent and continuous training
programs possibly led by nurses with long experience should be

3. held in health care facilities. It should also be a requirement for
nurses to engage in continuous educational studies because that
leads to acquisition of new knowledge and skills which can only
help to increase professionalism in nursing.
Conclusion
The most important factors affecting professionalism are level
of education and experience and both of these can be addressed
to the advantage of professionalism. Conscious steps must be
taken to improve professionalism since the presence or absence
of this virtue could be the deciding factor in whether a patient
lives or dies.
Reference
Michiko, T., Yoshikazu, Y., & Rieko, K. (2014). Nursing
professionalism: A national survey of
Professionalism among Japanese Nurses. International
Journal of nursing practice, 20,
579-587.
DataIDSalaryCompaMidpoint AgePerformance
RatingServiceGenderRaiseDegreeGender1GrStudents: Copy the
Student Data file data values into this sheet to assist in doing
your weekly assignments.The ongoing question that the weekly
assignments will focus on is: Are males and females paid the
same for equal work (under the Equal Pay Act)? Note: to
simplfy the analysis, we will assume that jobs within each grade
comprise equal work.The column labels in the table mean:ID –

4. Employee sample number Salary – Salary in thousands Age –
Age in yearsPerformance Rating - Appraisal rating (employee
evaluation score)Service – Years of service (rounded)Gender –
0 = male, 1 = female Midpoint – salary grade midpoint Raise
– percent of last raiseGrade – job/pay gradeDegree (0= BSBA 1
= MS)Gender1 (Male or Female)Compa - salary divided by
midpoint
Week 1Week 1.Measurement and Description - chapters 1 and
2The goal this week is to gain an understanding of our data set -
what kind of data we are looking at, some descriptive measurse,
and a look at how the data is distributed (shape).1Measurement
issues. Data, even numerically coded variables, can be one of 4
levels - nominal, ordinal, interval, or ratio. It is important to
identify which level a variable is, asthis impact the kind of
analysis we can do with the data. For example, descriptive
statistics such as means can only be done on interval or ratio
level data.Please list under each label, the variables in our data
set that belong in each group.NominalOrdinalIntervalRatiob.For
each variable that you did not call ratio, why did you make that
decision?2The first step in analyzing data sets is to find some
summary descriptive statistics for key variables.For salary,
compa, age, performance rating, and service; find the mean,
standard deviation, and range for 3 groups: overall sample,
Females, and Males.You can use either the Data Analysis
Descriptive Statistics tool or the Fx =average and =stdev
functions. (the range must be found using the difference
between the =max and =min functions with Fx) functions.Note:
Place data to the right, if you use Descriptive statistics, place
that to the right as well.Some of the values are completed for
you - please finish the table.SalaryCompaAgePerf.
Rat.ServiceOverallMean35.785.99.0Standard
Deviation8.251311.41475.7177Note - data is a sample from the
larger company
populationRange304521FemaleMean32.584.27.9Standard
Deviation6.913.64.9Range26.045.018.0MaleMean38.987.610.0S
tandard Deviation8.48.76.4Range28.030.021.03What is the

5. probability for a:Probabilitya. Randomly selected person
being a male in grade E?b. Randomly selected male being in
grade E? Note part b is the same as given a male, what is
probabilty of being in grade E?c. Why are the results
different?4A key issue in comparing data sets is to see if they
are distributed/shaped the same. We can do this by looking at
some measures of wheresome selected values are within each
data set - that is how many values are above and below a
comparable value.For each group (overall, females, and males)
find:OverallFemaleMaleAThe value that cuts off the top 1/3
salary value in each group"=large" functioniThe z score for this
value within each group?Excel's standize functioniiThe normal
curve probability of exceeding this score:1-normsdist
functioniiiWhat is the empirical probability of being at or
exceeding this salary value?BThe value that cuts off the top 1/3
compa value in each group.iThe z score for this value within
each group?iiThe normal curve probability of exceeding this
score:iiiWhat is the empirical probability of being at or
exceeding this compa value?CHow do you interpret the
relationship between the data sets? What do they mean about
our equal pay for equal work question?5. What conclusions
can you make about the issue of male and female pay equality?
Are all of the results consistent? What is the difference between
the sal and compa measures of pay?Conclusions from looking at
salary results:Conclusions from looking at compa results:Do
both salary measures show the same results?Can we make any
conclusions about equal pay for equal work yet?
Week 2 Week 2Testing means - T-testsIn questions 2, 3, and 4
be sure to include the null and alternate hypotheses you will be
testing. In the first 4 questions use alpha = 0.05 in making your
decisions on rejecting or not rejecting the null
hypothesis.1Below are 2 one-sample t-tests comparing male and
female average salaries to the overall sample mean. (Note: a
one-sample t-test in Excel can be performed by selecting the 2-
sample unequal variance t-test and making the second variable =
Ho value - a constant.)Note: These values are not the same as

6. the data the assignment uses. The purpose is to analyze the
results of t-tests rather than directly answer our equal pay
question.Based on these results, how do you interpret the results
and what do these results suggest about the population means
for male and female average salaries?MalesFemalesHo: Mean
salary =45.00Ho: Mean salary =45.00Ha: Mean salary
=/=45.00Ha: Mean salary =/=45.00Note: While the results both
below are actually from Excel's t-Test: Two-Sample Assuming
Unequal Variances, having no variance in the Ho variable
makes the calculations default to the one-sample t-test outcome
- we are tricking Excel into doing a one sample test for
us.MaleHoFemaleHoMean5245Mean3845Variance3160Variance
334.66666666670Observations2525Observations2525Hypothesi
zed Mean Difference0Hypothesized Mean Difference0df24df24t
Stat1.9689038266t Stat-1.9132063573P(T<=t) one-
tail0.0303078503P(T<=t) one-tail0.0338621184t Critical one-
tail1.7108820799t Critical one-tail1.7108820799P(T<=t) two-
tail0.0606157006P(T<=t) two-tail0.0677242369t Critical two-
tail2.0638985616t Critical two-tail2.0638985616Conclusion: Do
not reject Ho; mean equals 45Conclusion: Do not reject Ho;
mean equals 45Note: the Female results are done for you, please
complete the male results.Is this a 1 or 2 tail test?Is this a 1 or 2
tail test?2 tail- why?- why?Ho contains =P-value is:P-value
is:0.0677242369Is P-value < 0.05 (one tail test) or 0.25 (two
tail test)?Is P-value < 0.05 (one tail test) or 0.25 (two tail
test)?NoWhy do we not reject the null hypothesis?Why do we
not reject the null hypothesis?P-value greater than (>) rejection
alphaInterpretation of test outcomes:2Based on our sample data
set, perform a 2-sample t-test to see if the population male and
female average salaries could be equal to each other.(Since we
have not yet covered testing for variance equality, assume the
data sets have statistically equal variances.)Ho: Male salary
mean = Female salary meanHa: Male salary mean =/= Female
salary meanTest to use:t-Test: Two-Sample Assuming Equal
VariancesP-value is:Is P-value < 0.05 (one tail test) or 0.25
(two tail test)?Reject or do not reject Ho:If the null hypothesis

7. was rejected, calculate the effect size value:If calculated, what
is the meaning of effect size measure:Interpretation:b.Is the one
or two sample t-test the proper/correct apporach to comparing
salary equality? Why?3Based on our sample data set, can the
male and female compas in the population be equal to each
other? (Another 2-sample t-test.)Again, please assume equal
variances for these groups.Ho:Ha:Statistical test to use:What is
the p-value:Is P-value < 0.05 (one tail test) or 0.25 (two tail
test)?Reject or do not reject Ho:If the null hypothesis was
rejected, calculate the effect size value:If calculated, what is the
meaning of effect size measure: Interpretation: 4Since
performance is often a factor in pay levels, is the average
Performance Rating the same for both genders?NOTE: do NOT
assume variances are equal in this situation.Ho:Ha:Test to use:t-
Test: Two-Sample Assuming Unequal VariancesWhat is the p-
value:Is P-value < 0.05 (one tail test) or 0.25 (two tail test)?Do
we REJ or Not reject the null?If the null hypothesis was
rejected, calculate the effect size value:If calculated, what is the
meaning of effect size measure:Interpretation:5If the salary and
compa mean tests in questions 2 and 3 provide different results
about male and female salary equality, which would be more
appropriate to use in answering the question about salary
equity? Why?What are your conclusions about equal pay at this
point?
Week 3Week 3Paired T-test and ANOVAFor this week's work,
again be sure to state the null and alternate hypotheses and use
alpha = 0.05 for our decisionvalue in the reject or do not reject
decision on the null hypothesis.1Many companies consider the
grade midpoint to be the "market rate" - the salary needed to
hire a new employee.SalaryMidpointDiffDoes the company, on
average, pay its existing employees at or above the market
rate?Use the data columns at the right to set up the paired data
set for the analysis.Null Hypothesis:Alt. Hypothesis:Statistical
test to use:What is the p-value:Is P-value < 0.05 (one tail test)
or 0.25 (two tail test)?What else needs to be checked on a 1-tail
test in order to reject the null?Do we REJ or Not reject the

8. null?If the null hypothesis was rejected, what is the effect size
value:If calculated, what is the meaning of effect size
measure:Interpretation of test results:Let's look at some other
factors that might influence pay - education(degree) and
performance ratings.2Last week, we found that average
performance ratings do not differ between males and females in
the population.Now we need to see if they differ among the
grades. Is the average performace rating the same for all
grades?(Assume variances are equal across the grades for this
ANOVA.)Here are the data values sorted by grade level.The
rating values sorted by grade have been placed in columns I - N
for you.ABCDEFNull Hypothesis:Ho: means equal for all
grades9080100908570Alt. Hypothesis:Ha: at least one mean is
unequal807510065100100Place B17 in Outcome range
box.1008090759595907080905595809580959095858095956590
90707595956090909575809590100Interpretation of test
results:What is the p-value:0.57If the ANVOA was done
correctly, this is the p-value shown.Is P-value < 0.05?Do we
REJ or Not reject the null?If the null hypothesis was rejected,
what is the effect size value (eta squared):Meaning of effect
size measure:What does that decision mean in terms of our
equal pay question:3While it appears that average salaries per
each grade differ, we need to test this assumption. Is the
average salary the same for each of the grade levels? Use the
input table to the right to list salaries under each grade level.
(Assume equal variance, and use the analysis toolpak function
ANOVA.) Null Hypothesis:If desired, place salaries per grade
in these columnsAlt. Hypothesis:ABCDEFPlace B51 in
Outcome range box.Note: Sometimes we see a p-value in the
format of 3.4E-5; this means move the decimal point left 5
places. In this example, the p-value is 0.000034What is the p-
value:Is P-value < 0.05?Do we REJ or Not reject the null?If the
null hypothesis was rejected, calculate the effect size value (eta
squared):If calculated, what is the meaning of effect size
measure:Interpretation:4The table and analysis below
demonstrate a 2-way ANOVA with replication. Please interpret

9. the results.Note: These values are not the same as the data the
assignment uses. The purpose of this question is to analyze the
result of a 2-way ANOVA test rather than directly answer our
equal pay question.BAMAHo: Average compas by gender are
equalMale1.0171.157Ha: Average compas by gender are not
equal0.8700.979Ho: Average compas are equal for each
degree1.0521.134Ha: Average compas are not equal for each
degree1.1751.149Ho: Interaction is not
significant1.0431.043Ha: Interaction is
significant1.0741.1341.0201.000Perform
analysis:0.9031.1220.9820.903Anova: Two-Factor With
Replication1.0861.0521.0751.140SUMMARYBAMATotal1.052
1.087MaleFemale1.0961.050Count1212241.0251.161Sum12.349
12.925.2491.0001.096Average1.02908333331.0751.0520416667
0.9561.000Variance0.0066864470.00651981820.00686604171.0
001.0411.0431.043Female1.0431.119Count1212241.2101.043Su
m12.79112.78725.5781.1871.000Average1.06591666671.06558
333331.065751.0430.956Variance0.0061024470.00421281060.0
049334131.0431.1291.1451.149TotalCount2424Sum25.1425.68
7Average1.04751.0702916667Variance0.00647034780.0051561
286ANOVASource of VariationSSdfMSFP-valueF
critSample0.002255020810.00225502080.38348211710.5389389
5074.0617064601 (This is the row variable or
gender.)Columns0.006233520810.00623352081.06005396090.3
0882956334.0617064601 (This is the column variable or
Degree.)Interaction0.006417187510.00641718751.09128776640
.30189150624.0617064601Within0.25873675440.0058803807To
tal0.273642479247Interpretation:For Ho: Average compas by
gender are equalHa: Average compas by gender are not
equalWhat is the p-value:Is P-value < 0.05?Do you reject or not
reject the null hypothesis:If the null hypothesis was rejected,
what is the effect size value (eta squared):Meaning of effect
size measure:For Ho: Average compas are equal for all degrees
Ha: Average compas are not equal for all gradesWhat is the p-
value:Is P-value < 0.05?Do you reject or not reject the null
hypothesis:If the null hypothesis was rejected, what is the

10. effect size value (eta squared):Meaning of effect size
measure:For: Ho: Interaction is not significantHa: Interaction is
significantWhat is the p-value:Is P-value < 0.05?Do you reject
or not reject the null hypothesis:If the null hypothesis was
rejected, what is the effect size value (eta squared):Meaning of
effect size measure:What do these three decisions mean in terms
of our equal pay question:Place data values in these columns5.
Using the results up thru this week, what are your conclusions
about gender equal pay for equal work at this point?Dif
Week 4Week 4Confidence Intervals and Chi Square (Chs 11 -
12)For questions 3 and 4 below, be sure to list the null and
alternate hypothesis statements. Use .05 for your significance
level in making your decisions.For full credit, you need to also
show the statistical outcomes - either the Excel test result or the
calculations you performed.1Using our sample data, construct a
95% confidence interval for the population's mean salary for
each gender. Interpret the results. MeanSt error t valueLow to
HighMalesFemales<Reminder: standard error is the sample
standard deviation divided by the square root of the sample
size.>Interpretation:2Using our sample data, construct a 95%
confidence interval for the mean salary difference between the
genders in the population. How does this compare to the
findings in week 2, question 2?DifferenceSt Err.T valueLow to
HighYes/NoCan the means be equal?Why?How does this
compare to the week 2, question 2 result (2 sampe t-
test)?Results are the same - means are not equal.a.Why is using
a two sample tool (t-test, confidence interval) a better choice
than using 2 one-sample techniques when comparing two
samples?3We found last week that the degree values within the
population do not impact compa rates. This does not mean that
degrees are distributed evenly across the grades and genders.Do
males and females have athe same distribution of degrees by
grade?(Note: while technically the sample size might not be
large enough to perform this test, ignore this limitation for this
exercise.)Ignore any cell size limitations.What are the
hypothesis statements:Ho: Ha:Note: You can either use the

11. Excel Chi-related functions or do the calculations
manually.Data InTablesThe Observed Table is completed for
you.OBSERVEDA BCDEFTotalIf desired, you can do manual
calculations per cell here.M Grad11115312A BCDEFFem
Grad53111213M GradMale Und22215113Fem GradFemale
Und71121012Male Und1575512650Female UndSum
=EXPECTEDM GradFor this exercise - ignore the requirement
for a correctionFem Gradfor expected values less than 5.Male
UndFemale UndInterpretation:What is the value of the chi
square statistic: What is the p-value associated with this value:
Is the p-value <0.05?Do you reject or not reject the null
hypothesis: If you rejected the null, what is the Cramer's V
correlation:What does this correlation mean?What does this
decision mean for our equal pay question: 4Based on our sample
data, can we conclude that males and females are distributed
across grades in a similar patternwithin the population?Again,
ignore any cell size limitations.What are the hypothesis
statements:Ho: Ha:Do manual calculations per cell here (if
desired)A BCDEFA BCDEFOBS COUNT - mMOBS COUNT -
fFSum = EXPECTEDWhat is the value of the chi square
statistic: What is the p-value associated with this value: Is the
p-value <0.05?Do you reject or not reject the null hypothesis: If
you rejected the null, what is the Phi correlation:If calculated,
what is the meaning of effect size measure:What does this
decision mean for our equal pay question: 5. How do you
interpret these results in light of our question about equal pay
for equal work?
Week 5Week 5 Correlation and Regression1. Create a
correlation table for the variables in our data set. (Use analysis
ToolPak or StatPlus:mac LE function Correlation.)a. Reviewing
the data levels from week 1, what variables can be used in a
Pearson's Correlation table (which is what Excel produces)?b.
Place table here (C8):c.Using r = approximately .28 as the
signicant r value (at p = 0.05) for a correlation between 50
values, what variables aresignificantly related to Salary?To
compa?d.Looking at the above correlations - both significant or

12. not - are there any surprises -by that I mean any relationships
you expected to be meaningful and are not and vice-
versa?e.Does this help us answer our equal pay for equal work
question?2Below is a regression analysis for salary being
predicted/explained by the other variables in our sample
(Midpoint, age, performance rating, service, gender, and degree
variables. (Note: since salary and compa are different ways of
expressing an employee’s salary, we do not want to have both
used in the same regression.)Plase interpret the findings.Note:
These values are not the same as the data the assignment uses.
The purpose is to analyze the result of a regression test rather
than directly answer our equal pay question.Ho: The regression
equation is not significant.Ha: The regression equation is
significant.Ho: The regression coefficient for each variable is
not significant Note: technically we have one for each input
variable.Ha: The regression coefficient for each variable is
significant Listing it this way to save space.SalSUMMARY
OUTPUTRegression StatisticsMultiple R0.9915590747R
Square0.9831893985Adjusted R Square0.9808437332Standard
Error2.6575925726Observations50ANOVAdfSSMSFSignificanc
e
FRegression617762.29967387432960.383278979419.151611129
41.8121523852609E-
36Residual43303.70032612577.062798282Total4918066Coeffic
ientsStandard Errort StatP-valueLower 95%Upper 95%Lower
95.0%Upper 95.0%Intercept-1.74962121233.6183676583-
0.48353881570.6311664899-9.04675504275.547512618-
9.04675504275.547512618Midpoint1.21670105050.0319023509
38.13828811638.66416336978111E-
351.15236382831.28103827271.15236382831.2810382727Note:
These values are not the same as in the data the assignment
uses. The purpose is to analyze the result of a 2-way ANOVA
test rather than directly answer our equal pay question.Age-
0.00462801020.065197212-0.07098478760.9437389875-
0.13611071910.1268546987-
0.13611071910.1268546987Performace Rating-

13. 0.05659644050.0344950678-1.64071109710.1081531819-
0.12616237470.0129694936-
0.12616237470.0129694936Service-
0.04250035730.0843369821-0.50393500330.6168793519-
0.21258209120.1275813765-
0.21258209120.1275813765Gender2.4203372120.86084431762.
81158528040.00739661880.6842791924.1563952320.68427919
24.156395232Degree0.27553341430.79980230480.34450190090
.732148119-1.33742165471.8884884833-
1.33742165471.8884884833Note: since Gender and Degree are
expressed as 0 and 1, they are considered dummy variables and
can be used in a multiple regression equation.Interpretation:For
the Regression as a whole:What is the value of the F statistic:
What is the p-value associated with this value: Is the p-value
<0.05?Do you reject or not reject the null hypothesis: What
does this decision mean for our equal pay question: For each of
the coefficients:InterceptMidpointAgePerf.
Rat.ServiceGenderDegreeWhat is the coefficient's p-value for
each of the variables: NAIs the p-value < 0.05?NADo you reject
or not reject each null hypothesis: NAWhat are the coefficients
for the significant variables?Using the intercept coefficient and
only the significant variables, what is the equation?Salary =Is
gender a significant factor in salary:If so, who gets paid more
with all other things being equal?How do we know? 3Perform a
regression analysis using compa as the dependent variable and
the same independentvariables as used in question 2. Show the
result, and interpret your findings by answering the same
questions.Note: be sure to include the appropriate hypothesis
statements.Regression hypothesesHo:Ha:Coefficient
hyhpotheses (one to stand for all the separate
variables)Ho:Ha:Place c94 in output box.Interpretation:For the
Regression as a whole:What is the value of the F statistic: What
is the p-value associated with this value: Is the p-value <
0.05?Do you reject or not reject the null hypothesis: What does
this decision mean for our equal pay question: For each of the
coefficients: InterceptMidpointAgePerf.

14. Rat.ServiceGenderDegreeWhat is the coefficient's p-value for
each of the variables: NAIs the p-value < 0.05?NADo you reject
or not reject each null hypothesis: NAWhat are the coefficients
for the significant variables?Using the intercept coefficient and
only the significant variables, what is the equation?Compa = Is
gender a significant factor in compa:Regardless of statistical
significance, who gets paid more with all other things being
equal?How do we know? 4Based on all of your results to date,
Do we have an answer to the question of are males and females
paid equally for equal work?Does the company pay employees
equally for for equal work? How do we know?Which is the best
variable to use in analyzing pay practices - salary or compa?
Why?What is most interesting or surprising about the results we
got doing the analysis during the last 5 weeks?5Why did the
single factor tests and analysis (such as t and single factor
ANOVA tests on salary equality) not provide a complete answer
to our salary equality question?What outcomes in your life or
work might benefit from a multiple regression examination
rather than a simpler one variable test?
Chamberlain College of Nursing NR351 Transitions in
Professional Nursing
Professional Paper Worksheet Template
Student Name:Date:3/14/16
Directions:
Carefully read the Professional Paper Worksheet Guidelines
found in Doc Sharing. This provides specific details on how to
complete this assignment.
Rename this document by clicking Save As. Change the file
name so it reads Your Last Name Professional Paper
Worksheet.docx. For example, if your last name is Smith, type
“Smith Professional Paper Worksheet.docx”.
Save the document as a .docx file in Microsoft Word 2010 or
later.
Type your name and date at the top of this template.
Type your answers directly on the template. Follow all

15. instructions on this Template and the Guidelines document
(including the Rubric). Save frequently to prevent loss of your
work.
Submit to the Dropbox by the end of Week 3, Sunday at 11:59
p.m. MT.
Post questions about this assignment to the Q & A Forum so
your classmates can read the advice, too. You may also e-mail
questions to your instructor.
Item Instructions
Type your answers below
Approved Paper Topic (from Week 1 Assignment):
Clearly state the Nurse of the Future Nursing Core Competency
topic that was approved as your topic in Week 1 Assignment.
Professionalism
Page numbers in Hood textbook on your topic:
Clearly state page numbers in Hood textbook that correspond to
the selected topic.
Chapter 1: pp. 6-13
Reference for Journal Article:
Create a reference for the article selected using correct APA
format including: authors, year, article title, journal name,
volume number, issue number, page numbers, italics,
parentheses, punctuation, line spacing, and hanging indent.
Michiko, T., Yoshikazu, Y., & Rieko, K. (2014). Nursing
professionalism: A national survey of professionalism
among Japanese Nurses. International Journal of nursing
practice, 20, 579-587.
Please review the corrected reference and compare to yours.
This is a great article to use.
Quotation with Citation:
Type a quotation (10–25 words) from selected article using
correct APA citation including quotation marks, authors’ names,
year, page numbers, and parentheses. Do not use words or ideas
the authors cited from another source.
Michiko, Yoshikazu, and Reiko (2014) claimed “health-care
providers demonstrate professionalism by attitudes, knowledge

16. and behavior that reflect a multifaceted approach to the
regulations, principles and standards underlying successful
clinical practices” (p. 580).
Please review the difference how to cite at the beginning of a
sentence versus at the end of a sentence. All direct quotes must
have quotation marks.
Paraphrased Area and Citation:
State location in article of area to be paraphrased (paragraph
and page number). Type appropriately paraphrased version
using correct APA citation including authors’ names, year, and
parentheses. Do not use words or ideas that the authors cited
from another source.
Location: (Pg. 579, paragraph 1)
Health-care providers display professionalism by embracing
regulations, principles and standards of clinical practices in
their behavior, knowledge and attitudes (Michiko et al., 2014,
579).
Please review how to cite what the rules are when citing a
source with three or more authors. Review this please because
you have to know this.
Professional Paper Outline:
Develop outline for professional paper including introduction, 2
main topics, and conclusion (all with excellent subtopics as
required on Template). Excellent detail and depth used.
Introduction
· Professionalism refers to the standard of behavior expected of
a member of a certain profession and that behavior is guided by
the profession’s goals and qualities.
· Professional nursing is important since it increases a patient’s
chance of survival.
Professionalism and education
· It has been noted that professionalism increases with increase
in the level of education of the nurse.
· Nurses holding degrees or higher education have been shown
to increase patient survival rate by 5% in the first month of
hospital stay and that increase also applies to the chance of

17. rescue.
Improving professionalism
· Policy modification to allow nurses autonomy to disperse their
duties to the best of their abilities is one of the ways to improve
professionalism.
· Improving working conditions for the nurses would give them
incentive to be as professional as possible.
· Increasing education requirements for nurses or having
training programs would go a long way to improve
professionalism.
Conclusion
· Professionalism is vital for the efficient care of patients and
for this virtue to improve, the various factors affecting it must
be addressed and conscious steps taken towards change.
· Professionalism is either present or absent but its presence or
absence makes a huge difference when it comes to the delivery
of care.
The headers should be centered per APA. Please review this.
Professional Paper Worksheet Template.docx
11/8/14 cjm 4
Chamberlain College of Nursing NR351 Transitions in
Professional Nursing
Professional Paper Worksheet Template
Student Name:Date:3/14/16
Directions:
Carefully read the Professional Paper Worksheet Guidelines
found in Doc Sharing. This provides specific details on how to
complete this assignment.
Rename this document by clicking Save As. Change the file
name so it reads Your Last Name Professional Paper
Worksheet.docx. For example, if your last name is Smith, type
“Smith Professional Paper Worksheet.docx”.
Save the document as a .docx file in Microsoft Word 2010 or

18. later.
Type your name and date at the top of this template.
Type your answers directly on the template. Follow all
instructions on this Template and the Guidelines document
(including the Rubric). Save frequently to prevent loss of your
work.
Submit to the Dropbox by the end of Week 3, Sunday at 11:59
p.m. MT.
Post questions about this assignment to the Q & A Forum so
your classmates can read the advice, too. You may also e-mail
questions to your instructor.
Item Instructions
Type your answers below
Approved Paper Topic (from Week 1 Assignment):
Clearly state the Nurse of the Future Nursing Core Competency
topic that was approved as your topic in Week 1 Assignment.
Professionalism
Page numbers in Hood textbook on your topic:
Clearly state page numbers in Hood textbook that correspond to
the selected topic.
Chapter 1: pp. 6-13
Reference for Journal Article:
Create a reference for the article selected using correct APA
format including: authors, year, article title, journal name,
volume number, issue number, page numbers, italics,
parentheses, punctuation, line spacing, and hanging indent.
Michiko, T., Yoshikazu, Y., and Rieko, K. (2014) Nursing
Professionalism: A National Survey of Professionalism among
Japanese Nurses. International Journal of nursing practice, 20:
579-587
Quotation with Citation:
Type a quotation (10–25 words) from selected article using
correct APA citation including quotation marks, authors’ names,
year, page numbers, and parentheses. Do not use words or ideas
the authors cited from another source.
Michiko, Yoshikazu and Reiko (2014, 579), “health-care

19. providers demonstrate professionalism by attitudes, knowledge
and behavior that reflect a multifaceted approach to the
regulations, principles and standards underlying successful
clinical practices.
Paraphrased Area and Citation:
State location in article of area to be paraphrased (paragraph
and page number). Type appropriately paraphrased version
using correct APA citation including authors’ names, year, and
parentheses. Do not use words or ideas that the authors cited
from another source.
Location: (Pg. 579, paragraph 1)
Health-care providers display professionalism by embracing
regulations, principles and standards of clinical practices in
their behavior, knowledge and attitudes (Michiko, Yoshikazu
and Reiko, 2014, 579).
Professional Paper Outline:
Develop outline for professional paper including introduction, 2
main topics, and conclusion (all with excellent subtopics as
required on Template). Excellent detail and depth used.
Introduction
· Professionalism refers to the standard of behavior expected of
a member of a certain profession and that behavior is guided by
the profession’s goals and qualities.
· Professional nursing is important since it increases a patient’s
chance of survival.
Professionalism and education
· It has been noted that professionalism increases with increase
in the level of education of the nurse.
· Nurses holding degrees or higher education have been shown
to increase patient survival rate by 5% in the first month of
hospital stay and that increase also applies to the chance of
rescue.
Improving professionalism
· Policy modification to allow nurses autonomy to disperse their
duties to the best of their abilities is one of the ways to improve
professionalism.

20. · Improving working conditions for the nurses would give them
incentive to be as professional as possible.
· Increasing education requirements for nurses or having
training programs would go a long way to improve
professionalism.
Conclusion
· Professionalism is vital for the efficient care of patients and
for this virtue to improve, the various factors affecting it must
be addressed and conscious steps taken towards change.
· Professionalism is either present or absent but its presence or
absence makes a huge difference when it comes to the delivery
of care.
Professional Paper Worksheet Template.docx
11/8/14 cjm 2
Chamberlain College of Nursing
NR351 Transitions in Professional Nursing
Professional Paper Guidelines.docx
10/30/2015 CJM
5
Professional Paper Guidelines
PURPOSE
The purpose of this assignment is to allow the learner to
demonstrate writing skills, organizational skills, and ability to
correctly present ideas and credit others in APA format when
writing a professional paper.
COURSE OUTCOMES
This assignment enables the student to meet the following
course outcomes.
CO #3. Demonstrate effective verbal, written, and technological
communication using legal and ethical standards for transferring
knowledge using success resources provided to Chamberlain
students. (PO #3)

21. CO #4. Integrate critical thinking and judgment in professional
decision-making in collaboration with faculty and peers. (PO
#4)
CO #5. Apply concepts of professionalism when planning for
personal, intellectual, and professional development. (PO #5)
CO #9. Demonstrate accountability for personal and
professional development by assessing information and
technology competence, implementing plans for upgrading
technology skills, and using effective strategies for online
student success using resources provided to Chamberlain
students. (PO #5)
DUE DATE
Submit the assignment to the Week 6 Dropbox by Sunday, 11:59
p.m. MT.
POINTS
This assignment is worth a total of 200 points.
PREPARING THE Professional Paper
Carefully read this document (Professional Paper Guidelines),
including the Rubric.
From Doc Sharing (APA Resources category), download the
APA Paper Template. Rename that document as Your Last
Name Professional Paper.docx. Save it to your own computer or
flash drive in a location where you will be able to retrieve it
later. Type your assignment directly on the saved document.
Remember that only Microsoft Word 2010 or a later version is
acceptable. The document must be saved as a .docx. Save your
work frequently as you type to prevent loss of your work.
Mechanics of the Professional Paper include:
Times New Roman size 12 typeface (font) double spaced with
1-inch margins
No abstract
Correct APA format
Correct spelling, apostrophe use, grammar, paragraphing, and
sentence structure
Contents must include Title Page, body of the paper (500–600
words including Introduction, two Main Points from your

22. Professional Paper Worksheet outline, and Conclusion), and
References page.
Two Main Points and Conclusion should be Level 1 headings.
References should only include your Hood textbook and the
article you selected in your Professional Paper Worksheet that
was approved by your instructor.
Contents of the paper must include any revisions suggested by
your instructor in Professional Paper Worksheet feedback.
When your assignment is complete, save and close your
Professional Paper. Enter the course and submit the document as
an attachment to the Week 6 Dropbox. See the Week 6
Assignments page for step-by-step instructions on how to use
the Dropbox.
DIRECTIONS AND GRADING CRITERIA
Category
Points
%
Description: See Rubric for details.
Content
Introduction
25
12.5%
Clearly introduce and define the topic, as well as describe its
importance to professional nursing.
First Main Point
50
25%
Clearly address the First Main Point including 2 or more sub-
points from Professional Paper Worksheet.
Second Main Point
50
25%
Clearly address the Second Main Point including 2 or more sub-
points from Professional Paper Worksheet.

23. Conclusion
25
12.5%
Clearly summarize the paper and make a concluding statement.
APA Format
Title Page
2
1%
Title page adheres to the format of the APA Paper Template
assigned.
Margins, font, spacing, headings
4
2%
Margins, font, spacing, and headings adhere to APA format.
Citations
9
4.5%
Provide APA format citations for each idea (and or words) not
originally your own.
References
10
5%
References page adheres to APA format for Hood textbook and
scholarly professional nursing journal article approved in
Professional Paper Worksheet.
Professional Writing
Organization, clarity, structure, paragraphing
15
7.5%
Writing is organized and clear using appropriate structure and
paragraphing. Paper contains 500-600 words excluding title
page and references page.
Spelling and apostrophe use, grammar, professional wording
10
5%
Writing adheres to American English rules of spelling,

24. apostrophe use, and grammar. Wording is professional.
Total
200 points
100%
A quality assignment will meet or exceed all of the above
requirements.
Grading RUBRIC
Assignment Criteria
A:(92–100%)
Outstanding or Highest Level of Performance
B:(84–91%)
Very Good or High Level of Performance
C:(76–83%)
Competent or Satisfactory Level of Performance
F:(0–75%)
Poor or Failing or Unsatisfactory Level of Performance
Content
Introduction
25 points
Clearly introduces and defines the topic, as well as describes its
importance to professional nursing.
(23–25 points)
Introduces and defines the topic, as well as describes its
importance to professional nursing.
(21–22 points)
Introduces and defines the topic, as well as describes its
importance to professional nursing. Depth and detail are fair.
(19–20 points)
May not introduce or define the topic, or may not describe its
importance to professional nursing in a sufficient manner.

25. (0–18 points)
First Main Point
50 points
Clearly addresses the First Main Point including 2 or more sub-
points from Professional Paper Worksheet. Depth and detail are
excellent.
(46–50 points)
Addresses the First Main Point including 2 or more sub-points
from Professional Paper Worksheet. Depth and detail are good.
(42–45 points)
Vaguely addresses the First Main Point including 2 or more sub-
points from Professional Paper Worksheet. Depth and detail are
fair.
(37–41 points)
May or may not address the First Main Point. May or may not
include 2 or more sub-points from Professional Paper
Worksheet. Depth and detail are minimal.
(0–36 points)
Second Main Point
50 points
Clearly addresses the Second Main Point including 2 or more
sub-points from Professional Paper Worksheet. Depth and detail
are excellent.
(46–50 points)
Addresses the Second Main Point including 2 or more sub-
points from Professional Paper Worksheet. Depth and detail are
good.
(42–45 points)
Vaguely addresses the Second Main Point including 2 or more
sub-points from Professional Paper Worksheet. Depth and detail
are fair.
(37–41 points)
May or may not address the Second Main Point. May or may not
include 2 or more sub-points from Professional Paper

26. Worksheet. Depth and detail are minimal.
(0–36 points)
Conclusion
25 points
Clearly summarizes the paper and makes a concluding
statement.
(23–25 points)
Summarizes the paper and makes a concluding statement.
(21–22 points)
Summary and concluding statement are fair.
(19–20 points)
May or may not include both summary and concluding
statement.
(0–18 points)
APA Format
Title Page
2 points
Title page adheres well to the format of the APA Paper
Template assigned (0-2 errors).
(2 points)
Title page somewhat adheres to the format of the APA Paper
Template assigned (3 errors).
(1 point)
Title page does not adhere well to the format of the APA Paper
Template assigned (4 or more errors). (0 points)
Margins, font, spacing, headings
4 points
Margins, font, spacing, and headings adhere well to APA
format.
(4 points)
Margins, font, spacing, and headings adhere fairly well to APA
format.

27. (3 points)
Adherence of margins, font, spacing, and headings to APA
format is only fair.
(2 points)
Margins, font, spacing, and headings do not adhere well to APA
format.
(0–1 points)
Citations
9 points
Provide very good APA format citations for each idea (and or
words) not originally your own (0–1 error).
(9 points)
Provide good APA format citations for each idea (and or
words) not originally your own (2–3 errors).
(8 points)
Provide fair APA format citations for each idea (and or words)
not originally your own (4 errors).
(7 points)
Provide minimal APA format citations for each idea (and or
words) not originally your own (5 or more errors).
(0–6 points)
References
10 points
References page adheres well to APA format for Hood textbook
and scholarly professional nursing journal article approved in
Professional Paper Worksheet (0-1 error).
(9–10 points)
References page adheres to APA format for Hood textbook and
scholarly professional nursing journal article approved in
Professional Paper Worksheet (2-3 errors).
(8 points)
References page APA format for Hood textbook and scholarly
professional nursing journal article approved in Professional
Paper Worksheet has fair format (4 errors).

28. (7 points)
References page may not adheres to APA format for Hood
textbook and scholarly professional nursing journal article
approved in Professional Paper Worksheet (5 or more errors).
(0–6 points)
Professional Writing
Organization, clarity, structure, paragraphing
15 points
Writing is very well organized and clear using very good
structure and paragraphing.
Paper contains 500-600 words excluding title page and
references page.
(14–15 points)
Writing is organized and clear using appropriate structure and
paragraphing.
Paper contains 500-600 words excluding title page and
references page.
(12–13 points)
Writing organization is fair and sometimes uses appropriate
structure and paragraphing.
Paper contains slightly fewer than 500 words or slightly more
than 600 words excluding title page and references page.
(11 points)
Writing is not well organized and not clear using minimal
appropriate structure and paragraphing.
Paper contains significantly fewer than 500 words or
significantly more than 600 words excluding title page and
references page.
(0–10 points)
Spelling and apostrophe use, grammar, professional wording
10 points

29. Writing adheres very well to American English rules of
spelling, apostrophe use, and grammar. Wording is very
professional.
(9–10 points)
Writing adheres to American English rules of spelling,
apostrophe use, and grammar. Wording is usually professional.
(8 points)
Writing sometimes adheres to American English rules of
spelling, apostrophe use, and grammar. Wording is sometimes
professional.
(7 points)
Writing does not always adhere to American English rules of
spelling, apostrophe use, and grammar. Wording is not always
professional.
(0–6 points)
TOTAL: 200 points possible