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IHP 525 Final Project Data Analysis Guidelines and Rubric
Overview
Now that you have submitted your article review, you will submit Your Final Project Data Analysis. The Final Project Article Review was an opportunity to demonstrate your ability to interpret
statistics included in an article. The Final Project Data Analysis is a chance to show that you know how to choose the correct statistics to analyze a set of data and calculate these using
software.
Regardless of their field of interest, health professionals across disciplines need to be able to run basic biostatistical calculations to describe a set of data.
The Final Project Data Analysis reinforces these critical skills by asking you to conduct your own analysis of a small data set, explain the basic parameters of the data, graph it, and run simple
tests. You will present this data analysis in a brief statistical report, using language appropriate to a non-technical audience.
The Final Project Data Analysis consists of four milestonesfour milestonesfour milestonesfour milestones, submitted in Modules Two, Three, Five, and Seven.Modules Two, Three, Five, and Seven.Modules Two, Three, Five, and Seven.Modules Two, Three, Five, and Seven. The final submission occurs in Module Nine.Module Nine.Module Nine.Module Nine.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Perform basic, context-appropriate statistical calculations and hypothesis testing in accurately analyzing biostatistical data
Interpret key biostatistical metrics, methods, and data for addressing population-based health problems
Communicate biostatistical results, procedures, and analysis to other health professionals and the general public for informing their decisions related to population-based health
problems
Prompt
Biostatisticians are constantly called upon to analyze data in order to help researchers and health officials answer critical questions about populations’ health. For this assessment, you will
imagine you are a biostatistical consultant on a small study for a local health organization. In the Assignments Guidelines and Rubrics area of the course, you will use the Data Analysis Data Set
and Data Analysis Data Description, along with some background information on how and when the data was collected and the general research question the organization is interested in
answering. This is often the way you will receive data in the real world.
Your task is to help the organization answer their question by critically analyzing the data. You will compute your chosen statistics, interpret the results, and present the results and
recommendations to non-technical decision makers in the form of a data analysis. Keep in mind that it is your job to do this from a statistical standpoint. Be sure to justify your conclusions and
recommendations with appropriate statistical support.
Specifically, you must address the critical elementscritical elementscritical elementscritical elements listed below. Most of the critical elements align with a particular course outcome (shown in brackets).
I. IntroductionIntroductionIntroductionIntroduction
A. State the overall health questionhealth questionhealth questionhealth question you have been asked to address in your own words. Be sure you capture the key elements of the question, using language that a non-technical
audience can understand.
B. Assess the collected datadatadatadata. Use this section to layout the source, parameters, and any limitations of your data. Specifically, you should:
1. Describe the key featureskey featureskey featureskey features of your data set. Be sure to assess how these features affect your analysis.
2. Analyze the l imitationslimitationslimitationslimitations of the data set you were provided and how those limitations might affect your findings. Justify your response.
C. Process:Process:Process:Process: Propose how you will go about answering the health question you were asked to address based on the data set provided.
II. Data AnalysisData AnalysisData AnalysisData Analysis
A. Graphs:Graphs:Graphs:Graphs: In this section, you will use graphical displays to examine the data.
1. Create at least one graph graph graph graph that gives a sense of the potential relationship between the two variables that form your chosen health question. Include the graph and discuss why
you selected it as opposed to others.
B. Conduct an appropriate statistical testtesttesttest to answer your health question.
C. Explain why this test is the best choicebest choicebest choicebest choice in this context.
D. AnalysisAnalysisAnalysisAnalysis of Biostatistics: Use this section to describe your findings from a statistical standpoint. Be sure to:
1. Present key biostatisticsbiostatisticsbiostatisticsbiostatistics from the graph(s) and statistical tests and explain what they mean. Be sure to include a spreadsheet showing your work or a copy of your
StatCrunch output as an appendix.
2. What statistical inferencesstatistical inferencesstatistical inferencesstatistical inferences or conclusions can you draw based on the results of your statistical test and graph? Justify your response.
III. ConclusionsConclusionsConclusionsConclusions and Recommendations
A. How do the findingsfindingsfindingsfindings help answer your overall health question? Remember to use brief, non-technical language to ensure audience understanding.
B. RecommendRecommendRecommendRecommend areas for further research based on your findings. Remember to use brief, non-technical language to ensure audience understanding.
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Milestones
Milestone One: Select Health Question
In Module TwoModule TwoModule TwoModule Two, you will identify the health question you will be researching for instructor feedback and approval. Milestone One should be several sentences in length. This milestone isThis milestone isThis milestone isThis milestone is
graded with the Milestone One Rubric.graded with the Milestone One Rubric.graded with the Milestone One Rubric.graded with the Milestone One Rubric.
Milestone Two: Describe the Data
In Module ThreeModule ThreeModule ThreeModule Three, you will describe the key features of the data set, including limitations that might exist. Milestone Two should be one or two paragraphs in length. This milestone isThis milestone isThis milestone isThis milestone is
graded with the Milestone Two Rubric.graded with the Milestone Two Rubric.graded with the Milestone Two Rubric.graded with the Milestone Two Rubric.
Milestone Three: Process and Calculations
In Module FiveModule FiveModule FiveModule Five, you will create a table in which you propose the calculations (descriptive statistics and statistical test) and graph(s) you will need to perform to answer the health question
you are investigating. Then you will complete the table. For Milestone Three, you will submit this completed table. This milestone is graded with the Milestone Three Rubric.This milestone is graded with the Milestone Three Rubric.This milestone is graded with the Milestone Three Rubric.This milestone is graded with the Milestone Three Rubric.
Milestone Four: Data Analysis
In Module SevenModule SevenModule SevenModule Seven, you will submit the data analysis section of Final Project Data Analysis. This section includes the graph(s) and statistics you conducted on the data set to answer the health
question. This milestone is graded with the Milestone Four Rubric.This milestone is graded with the Milestone Four Rubric.This milestone is graded with the Milestone Four Rubric.This milestone is graded with the Milestone Four Rubric.
Final Project Data Analysis
In Module NineModule NineModule NineModule Nine, complete the conclusions section and the rest of the completed data analysis (including graph(s), statistical output for chosen test, or Excel spreadsheet with calculations).
You have been working on this analysis in Milestones One through Four. Before submitting, revise each section of the analysis based on the feedback you received from your instructor and
peers. It should be a complete, polished artifact containing allallallall of the critical elements of the final product. It should reflect the incorporation of feedback gained throughout the course. ThisThisThisThis
submission will be graded using the Final Project Data Analysis Rubric.submission will be graded using the Final Project Data Analysis Rubric.submission will be graded using the Final Project Data Analysis Rubric.submission will be graded using the Final Project Data Analysis Rubric.
What to Submit
Your data analysis should be approximately 3–5 pages long (including graphs or spreadsheet with calculations), double-spaced, 12- point Times New Roman font, with one-inch margins and
citations in APA format. Be sure to use language and a style appropriate for a non-technical audience.
Final Project Data Analysis Rubric
CriteriaCriteriaCriteriaCriteria ExemplaryExemplaryExemplaryExemplary ProficientProficientProficientProficient Needs ImprovementNeeds ImprovementNeeds ImprovementNeeds Improvement Not EvidentNot EvidentNot EvidentNot Evident ValueValueValueValue
Introduction: HealthIntroduction: HealthIntroduction: HealthIntroduction: Health
QuestionQuestionQuestionQuestion
N/A States overall health question
in own words, capturing key
elements of question while
using language appropriate for
a non-technical audience
States overall health question
in own words, but response
contains inaccuracies, omits key
details, or does not use
language appropriate for a non-
technical audience
Does not state overall health
question in own words
8
Introduction: Data: KeyIntroduction: Data: KeyIntroduction: Data: KeyIntroduction: Data: Key
FeaturesFeaturesFeaturesFeatures
Meets “Proficient” criteria and
demonstrates a sophisticated
awareness of the features’
influence
Describes key features of data
set and assesses how features
affect analysis
Describes key features of data
set and assesses how features
affect analysis, but response
contains inaccuracies or omits
key details
Does not describe key features
of data set and assess how
features affect analysis
9
Introduction: Data:Introduction: Data:Introduction: Data:Introduction: Data:
LimitationsLimitationsLimitationsLimitations
Meets “Proficient” criteria and
justification provides keen
insight into how data quality
affects findings
Analyzes limitations of data set
provided and how those affect
findings, justifying response
Analyzes limitations of data set
and how those affect findings,
but does not justify response,
response contains inaccuracies,
or justification is illogical
Does not analyze limitations of
data set and how those affect
findings
8
Introduction: ProcessIntroduction: ProcessIntroduction: ProcessIntroduction: Process Meets “Proficient” criteria and
process proposed is well-
aligned with health question,
taking most direct path to
answer
Proposes process of answering
health question based on the
data set provided
Proposes process of answering
health question based on data
set, but response contains
inaccuracies, omits key
procedures, or procedures
suggested are inappropriate
Does not propose process of
answering health question
based on data set
9
Data Analysis: Graphs:Data Analysis: Graphs:Data Analysis: Graphs:Data Analysis: Graphs:
GraphGraphGraphGraph
Meets “Proficient” criteria and
graph incorporates appropriate
scaling and is exceptionally
well-tailored to the intended
audience
Creates a graph that gives a
sense of the potential
relationship between two
variables that form the chosen
health question and discusses
why this graph was selected
Creates a graph that gives a
sense of the potential
relationship between two
variables that form the health
question and discusses why this
graph was selected over others,
Does not create a graph that
gives a sense of the potential
relationship between two
variables
9
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over others but graph is inappropriate,
reasons are illogical, or
response contains inaccuracies
Data Analysis: TestData Analysis: TestData Analysis: TestData Analysis: Test Meets “Proficient” criteria and
demonstrates an astute ability
to accurately and effectively
conduct the test
Conducts appropriate
statistical test accurately to
answer chosen health question
Conducts statistical test to
answer chosen health question,
but response contains
inaccuracies or test is not
conducted appropriately
Does not conduct appropriate
statistical test to answer
chosen health question
9
Data Analysis: BestData Analysis: BestData Analysis: BestData Analysis: Best
ChoiceChoiceChoiceChoice
Meets “Proficient” criteria and
makes cogent connections
between the test and graph or
data
Explains why test is the best
choice in this context
Explains why test is the best
choice in this context, but
explanation is cursory or
contains inaccuracies
Does not explain why test is the
best choice in this context
9
Data Analysis: Analysis:Data Analysis: Analysis:Data Analysis: Analysis:Data Analysis: Analysis:
BiostatisticsBiostatisticsBiostatisticsBiostatistics
Meets “Proficient” criteria and
explanation effectively
communicates meaning of the
calculations in audience-
appropriate language
Presents graph and statistical
test results, including
spreadsheet showing work or
computer output, and
accurately explains what
chosen calculations mean
Presents graph and statistical
test results, including
spreadsheet showing work or
computer output, and explains
what they mean, but response
contains inaccuracies or omits
key details
Does not present graph and
statistical test results, including
spreadsheet showing work or
computer output and does not
explain what these calculations
mean
9
Data Analysis: Analysis:Data Analysis: Analysis:Data Analysis: Analysis:Data Analysis: Analysis:
Statistical InferencesStatistical InferencesStatistical InferencesStatistical Inferences
Meets “Proficient” criteria and
thoroughly explains how these
statistics define the population
Draws appropriate statistical
inferences based on statistical
hypothesis test results and
graph and justifies response
Draws appropriate statistical
inferences based on test results
and graph, but does not justify
response, justification is
illogical, or response contains
inaccuracies
Does not draw appropriate
statistical inferences or
conclusions based on test
results and graph
9
Conclusions: FindingsConclusions: FindingsConclusions: FindingsConclusions: Findings Meets “Proficient” criteria and
demonstrates a complex grasp
of elements necessary to
answer the overall health
question
Assesses how findings help
answer overall health question,
using brief non-technical
language
Assesses how findings help
answer overall question, but
does not use brief, non-
technical language, or response
contains inaccuracies
Does not assess how findings
help answer overall health
question
8
Conclusions:Conclusions:Conclusions:Conclusions:
RecommendationsRecommendationsRecommendationsRecommendations
Meets “Proficient” criteria and
recommendations including
what additional information
would help better answer
question
Recommends areas for further
research based on findings,
using brief, non-technical
language
Recommends areas for further
research based on findings,
including additional
information to better answer
question, but does not use brief,
non-technical language,
recommendations are illogical,
or response contains
inaccuracies
Does not recommend areas for
further research based on
findings, including additional
information that would help
better answer question
8
Articulation of ResponseArticulation of ResponseArticulation of ResponseArticulation of Response Submission is free of errors
related to citations, grammar,
spelling, syntax, and
organization and is presented in
a professional and easy to read
format
Submission has no major errors
related to citations, grammar,
spelling, syntax, or organization
Submission has major errors
related to citations, grammar,
spelling, syntax, or organization
that negatively impact
readability and articulation of
main ideas
Submission has critical errors
related to citations, grammar,
spelling, syntax, or organization
that prevent understanding of
ideas
5
Total:Total:Total:Total: 100%
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