PSY 223 Scenarios and Data Sets
Scenario 1 (Child and Adolescent Development)*
The question was investigated of whether (a) age at which infants start to crawl is related to (b) seasonal
temperature six months after birth. “Six months after birth” was targeted as the period in which babies
typically first try crawling. For a large sample of babies, (a) time at which crawling actually began and (b)
average monthly temperature six months after the birth month were collected. The data are shown
below (also found in the Data Set Scenario 1 Excel file).
Month
Average Age Starting to Crawl
(weeks)
January
February
March
April
May
June
July
August
September
October
November
December
29.84
30.52
29.70
31.84
28.58
31.44
33.64
32.82
33.83
33.35
33.38
32.32
Average Temperature 6 Months
After Birth Month (in units
Fahrenheit)
66
73
72
63
52
39
33
30
33
37
48
57
* Adapted from this study: Benson, J. B. (1993). Season of birth and onset of locomotion: Theoretical
and methodological implications. Infant Behavior and Development, 16, 69–81.
Scenario 2 (Forensic Psychology)
Levels of groups’ certainties about their eyewitness testimony to a simulated crime were compared. The
first group was set up to be “right” in its eyewitness accounts and the second group was set up to be
“wrong”; the desire was to see if confidence differed across groups. Thirty-four participants were
recruited from a college campus and randomly divided into two groups, both of which were shown a
video of a crime scenario (length: 58 seconds) in which the perpetrator’s facial characteristics (with
respect to the camera) were clearly visible at two separate points and sporadically visible at others. Half
the participants then were shown a five-individual lineup that contained the perpetrator in the video
(“Group A”), and half the participants were shown a five-individual lineup that did not contain the
perpetrator (“Group B”). Participants were asked to (a) identify if and where the perpetrator was in the
lineup and (b) provide a rating of confidence on a scale from 1 to 10 (10 being highly confident) that the
selection was the same as the person seen in the video committing the crime. All participants signed
consent forms, were told they could leave the study at any time, and were told they would be debriefed.
Data on the confidence ratings are shown below (also found in the Data Set Scenario 2 Excel file).
Group A Confidence Group B Confidence
07
10
10
05
09
05
10
10
08
07
05
06
10
10
10
09
01
03
10
06
05
04
06
10
07
10
06
10
04
03
05
07
10
08
Scenario 3 (Mental Health)
The efficacy of two kinds of cognitive-behavioral therapy (CBT) in relation to a clinical population were
compared. The therapies differed on the dimension of how wedded they were to the rational-emotive
behavioral therapy (REBT), a subtype of CBT that emphasizes a directive, confrontational approach to
encourage a patient to recognize the irrationality of specific thought patterns. Forty adolescents at an
inpatient clinic for treatment of self-destructive behaviors were randomly divided into two groups of
equal size, one of which received the less challenging type of CBT (Treatment A) and one of which
received the more challenging kind of CBT (Treatment B). All patients were treated by trained therapists
in one-on-one sessions for 1.5 hours per day (broken down into 45-minute sessions) for six weeks. All
participants were apprised that they were part of a study, all participants signed consent forms, and all
were told they would be informed of the results at its conclusion; participants exhibiting any behaviors
that required critical intervention were promptly treated outside the plan of the study. Outcome data
on the Revised Behavior Problem Checklist (RBPC)-PAR Edition* collected at the conclusion of six weeks
as shown below (also found in the Data Set Scenario 3 Excel file).
Treatment A Treatment B
74
80
50
82
70
49
60
44
30
60
37
65
34
77
40
45
39
51
70
70
19
53
43
16
25
38
15
44
20
29
55
51
48
54
42
46
60
18
27
61
* Instrument has been validated for use with the population under consideration.
Scenario 4 (Addictions)
The efficacy of a new addiction medication was evaluated in a randomized, placebo-controlled, doubleblind study. The medication in question, Antaquil, is intended to moderate the symptoms of alcohol
withdrawal and craving with minimum side effects. Over the course of three weeks, a sample of 36
individuals who were recovering from alcohol addiction were randomly assigned to two groups: one
administered the medication and one administered a placebo. At the end of the designated period,
participants were administered the Obsessive Compulsive Drinking Scale (OCDS), an instrument that
provides a global measure of thoughts about alcohol during nondrinking periods. Scores can range from
0 to 40 with higher scores signaling higher levels of rumination about alcohol. Prior to participation
participants were all informed of the nature of Antaquil and were told they could leave the study at any
time. Outcome data on the OCDS are shown below (also found in the Data Set Scenario 4 Excel file).
Treatment Gp Placebo Gp
40
37
35
35
27
34
18
24
30
29
28
14
11
23
23
25
30
32
13
37
16
30
17
30
26
29
22
22
19
23
17
31
29
28
10
20
Scenario 5 (Social Psychology)
The question of whether Friday the 13th is an unusually unlucky day or whether this idea is just
superstition was evaluated. Researchers in the United Kingdom examined the relation between (a)
numbers of traffic accidents on past Friday the 13ths versus (b) numbers of accidents occurring on
Friday the 6ths (all between July 1990 and November 1992).* The data shown below were collected
(also found in the Data Set Scenario 5 Excel file).
Friday the 6th Friday the 13th
139,246
138,548
134,012
132,908
137,055
136,018
133,732
131,843
123,552
121,641
121,139
118,723
128,293
125,532
124,631
120,249
124,609
122,770
117,584
117,263
* Adapted from this study: Scanlon, T. J., Luben, R. N., Scanlon, F. L., & Singleton, N. (1993). Is Friday the
13th bad for your health? BritishMedical Journal, 307, 1584–1586.
Scenario 6 (Applied Psychology)*
The question was investigated of whether pleasant aromas help a student learn better. All 21
participants learned both under a condition of smelling nothing and under a condition of smelling a
floral scent. Counterbalancing was followed so that some participants learned without the scent first
and some learned with the scent first. All participants were apprised that the scents were “safe” and
that if they wished they could leave the study at any time. Data in terms of “time (in seconds) to
complete a pencil and paper maze” are shown below (also found in the Data Set Scenario 6 Excel file).
Unscented-Trial Scented-Trial
38.4
53.1
46.2
54.7
72.5
74.2
38.0
49.6
82.8
53.6
33.9
51.3
50.4
44.1
35.0
34.0
32.8
34.5
60.1
59.1
75.1
67.3
57.6
75.5
55.5
41.1
49.5
52.2
40.9
28.3
44.3
74.9
93.8
77.5
47.9
50.9
75.2
70.1
46.2
60.3
56.3
59.9
* Adapted from a study by Hirsch & Johnston at the Smell & Taste Treatment and Research Foundation:
The Data and Story Library. (1996). Retrieved from http: //lib. stat.cmu.edu/DASL/
PSY 223 Scenarios and Data Sets
Scenario 1 (Child and Adolescent Development)*
The question was investigated of whether (a) age at which infants start to crawl is related to (b) seasonal
temperature six months after birth. “Six months after birth” was targeted as the period in which babies
typically first try crawling. For a large sample of babies, (a) time at which crawling actually began and (b)
average monthly temperature six months after the birth month were collected. The data are shown
below (also found in the Data Set Scenario 1 Excel file).
Month
Average Age Starting to Crawl
(weeks)
January
February
March
April
May
June
July
August
September
October
November
December
29.84
30.52
29.70
31.84
28.58
31.44
33.64
32.82
33.83
33.35
33.38
32.32
Average Temperature 6 Months
After Birth Month (in units
Fahrenheit)
66
73
72
63
52
39
33
30
33
37
48
57
* Adapted from this study: Benson, J. B. (1993). Season of birth and onset of locomotion: Theoretical
and methodological implications. Infant Behavior and Development, 16, 69–81.
Scenario 2 (Forensic Psychology)
Levels of groups’ certainties about their eyewitness testimony to a simulated crime were compared. The
first group was set up to be “right” in its eyewitness accounts and the second group was set up to be
“wrong”; the desire was to see if confidence differed across groups. Thirty-four participants were
recruited from a college campus and randomly divided into two groups, both of which were shown a
video of a crime scenario (length: 58 seconds) in which the perpetrator’s facial characteristics (with
respect to the camera) were clearly visible at two separate points and sporadically visible at others. Half
the participants then were shown a five-individual lineup that contained the perpetrator in the video
(“Group A”), and half the participants were shown a five-individual lineup that did not contain the
perpetrator (“Group B”). Participants were asked to (a) identify if and where the perpetrator was in the
lineup and (b) provide a rating of confidence on a scale from 1 to 10 (10 being highly confident) that the
selection was the same as the person seen in the video committing the crime. All participants signed
consent forms, were told they could leave the study at any time, and were told they would be debriefed.
Data on the confidence ratings are shown below (also found in the Data Set Scenario 2 Excel file).
Group A Confidence Group B Confidence
07
10
10
05
09
05
10
10
08
07
05
06
10
10
10
09
01
03
10
06
05
04
06
10
07
10
06
10
04
03
05
07
10
08
Scenario 3 (Mental Health)
The efficacy of two kinds of cognitive-behavioral therapy (CBT) in relation to a clinical population were
compared. The therapies differed on the dimension of how wedded they were to the rational-emotive
behavioral therapy (REBT), a subtype of CBT that emphasizes a directive, confrontational approach to
encourage a patient to recognize the irrationality of specific thought patterns. Forty adolescents at an
inpatient clinic for treatment of self-destructive behaviors were randomly divided into two groups of
equal size, one of which received the less challenging type of CBT (Treatment A) and one of which
received the more challenging kind of CBT (Treatment B). All patients were treated by trained therapists
in one-on-one sessions for 1.5 hours per day (broken down into 45-minute sessions) for six weeks. All
participants were apprised that they were part of a study, all participants signed consent forms, and all
were told they would be informed of the results at its conclusion; participants exhibiting any behaviors
that required critical intervention were promptly treated outside the plan of the study. Outcome data
on the Revised Behavior Problem Checklist (RBPC)-PAR Edition* collected at the conclusion of six weeks
as shown below (also found in the Data Set Scenario 3 Excel file).
Treatment A Treatment B
74
80
50
82
70
49
60
44
30
60
37
65
34
77
40
45
39
51
70
70
19
53
43
16
25
38
15
44
20
29
55
51
48
54
42
46
60
18
27
61
* Instrument has been validated for use with the population under consideration.
Scenario 4 (Addictions)
The efficacy of a new addiction medication was evaluated in a randomized, placebo-controlled, doubleblind study. The medication in question, Antaquil, is intended to moderate the symptoms of alcohol
withdrawal and craving with minimum side effects. Over the course of three weeks, a sample of 36
individuals who were recovering from alcohol addiction were randomly assigned to two groups: one
administered the medication and one administered a placebo. At the end of the designated period,
participants were administered the Obsessive Compulsive Drinking Scale (OCDS), an instrument that
provides a global measure of thoughts about alcohol during nondrinking periods. Scores can range from
0 to 40 with higher scores signaling higher levels of rumination about alcohol. Prior to participation
participants were all informed of the nature of Antaquil and were told they could leave the study at any
time. Outcome data on the OCDS are shown below (also found in the Data Set Scenario 4 Excel file).
Treatment Gp Placebo Gp
40
37
35
35
27
34
18
24
30
29
28
14
11
23
23
25
30
32
13
37
16
30
17
30
26
29
22
22
19
23
17
31
29
28
10
20
Scenario 5 (Social Psychology)
The question of whether Friday the 13th is an unusually unlucky day or whether this idea is just
superstition was evaluated. Researchers in the United Kingdom examined the relation between (a)
numbers of traffic accidents on past Friday the 13ths versus (b) numbers of accidents occurring on
Friday the 6ths (all between July 1990 and November 1992).* The data shown below were collected
(also found in the Data Set Scenario 5 Excel file).
Friday the 6th Friday the 13th
139,246
138,548
134,012
132,908
137,055
136,018
133,732
131,843
123,552
121,641
121,139
118,723
128,293
125,532
124,631
120,249
124,609
122,770
117,584
117,263
* Adapted from this study: Scanlon, T. J., Luben, R. N., Scanlon, F. L., & Singleton, N. (1993). Is Friday the
13th bad for your health? BritishMedical Journal, 307, 1584–1586.
Scenario 6 (Applied Psychology)*
The question was investigated of whether pleasant aromas help a student learn better. All 21
participants learned both under a condition of smelling nothing and under a condition of smelling a
floral scent. Counterbalancing was followed so that some participants learned without the scent first
and some learned with the scent first. All participants were apprised that the scents were “safe” and
that if they wished they could leave the study at any time. Data in terms of “time (in seconds) to
complete a pencil and paper maze” are shown below (also found in the Data Set Scenario 6 Excel file).
Unscented-Trial Scented-Trial
38.4
53.1
46.2
54.7
72.5
74.2
38.0
49.6
82.8
53.6
33.9
51.3
50.4
44.1
35.0
34.0
32.8
34.5
60.1
59.1
75.1
67.3
57.6
75.5
55.5
41.1
49.5
52.2
40.9
28.3
44.3
74.9
93.8
77.5
47.9
50.9
75.2
70.1
46.2
60.3
56.3
59.9
* Adapted from a study by Hirsch & Johnston at the Smell & Taste Treatment and Research Foundation:
The Data and Story Library. (1996). Retrieved from http: //lib. stat.cmu.edu/DASL/
PSY 223 Final Project Guidelines and Rubric
Overview
The final project for this course is the creation of a statistical analysis report.
The two research courses (PSY 223 and PSY 224) will demystify statistics and research methods in order to show that they are based on simple principles that
apply to situations in the social sciences. In psychology, we need to distinguish what is “real” from what is “not real but looks real.” Is this patient really
depressed? Does this form of group treatment of adolescents work better than a different form of treatment?
In this summative assessment, you will choose a scenario from a given set to be the basis for your statistical analysis report. Within the scenario, you will be
given a data set based on two groups. You will apply the statistical analysis skills you have learned in this course to interpret the data and write up a report of the
results. You will be evaluated not only on your computations but also on your explanation of the interpretation of the data.
The project is divided into three milestones and a final product. The milestones will be submitted at various points throughout the course to scaffold learning
and to ensure quality final submissions. These milestones will be submitted in Modules Two, Four, and Five. The final project will be submitted in Module
Seven.
In this assignment, you will demonstrate your mastery of the following course outcomes:
Analyze descriptive and inferential statistics for preparing statistically accurate psychological research
Utilize appropriate statistical techniques for computing descriptive statistics and generating graphs regarding statistical analyses of psychological
research
Select appropriate statistical procedures for use in statistical analyses regarding psychological research
Interpret the results of statistical analyses of psychological research data for drawing informed conclusions regarding the implications of psychological
research
Assess scenarios involving statistical procedures for ensuring alignment with the expectations of the APA Ethical Principles of Psychologists
Prompt
Select a scenario from the Scenarios and Data Sets document to be the basis of your statistical analysis report. When deciding on which scenario to choose,
determine which one is the most beneficial for your area of concentration in psychology. This statistical analysis report will inform stakeholders about the
analysis and interpretation of the data presented in the scenario. Microsoft Excel is the recommended statistical software for this course, and the data sets are
already placed into Excel files. You will first summarize your chosen scenario and discuss ethical issues. You will then begin your data analysis, determining the
appropriate procedures in testing your hypothesis. Finally, you will summarize and interpret your results, making appropriate conclusions based on those results.
Specifically, the following critical elements must be addressed:
I.
Introduction
A. Summarize the scenario you have chosen, including participants, the data set presented, and the question that can be answered by the data.
B. Discuss why the scenario exemplifies a study that agrees with APA’s Ethical Principles of Psychologists.
C. Discuss ethical issues that may potentially arise when analyzing and reporting statistical data.
D. Explain what you will do in your data analysis and reporting to ensure alignment with the expectations of APA’s Ethical Principles of
Psychologists.
II.
Data Analysis
A. Identify the sample size and explain how it will inform your analysis. In other words, what is the sample size? How will the size of the sample
inform your analysis?
B. Select what statistical procedures should be implemented in your analysis, and justify why you feel these are appropriate.
C. Explain how statistical procedures can help you determine whether the data is attributable to chance factors.
D. Compute the mean and the standard deviation for each set of data using appropriate abbreviations and terminology.
E. Prepare an appropriately labeled histogram for each set of data.
F. Evaluate the shape of each distribution using your created histograms. In other words, what does the shape of each distribution tell us about the
data?
III.
Hypothesis
A. Determine whether one mean is higher, showing how you made the determination.
B. Identify the null hypothesis and alternative hypothesis using appropriate statistical symbols and language based on what you are comparing.
IV.
Results
A. Based on your results, determine whether the data provide evidence for a valid effect.
B. Explain whether or not the results are statistically significant. Support your response with results from the data analysis.
C. Present properly labeled graphs representing the data analysis results detailed clearly for ease of stakeholder interpretation.
V.
Conclusion
A. Explain your interpretation of the data. In other words, based on your results, what do you think the data mean? What are the potential
implications of this data for the stakeholders? What do these results mean for future research into the topic area?
B. Justify the data analysis procedures you used to reach your interpretation.
C. Discuss whether it would be appropriate to conduct more statistical procedures to further interpret the data.
Milestones
Milestone One: Are Things Okay Ethically?
In Module Two, you will submit the Milestone One Worksheet. In this milestone, you will address the following: (1) Indicate what data set you have chosen and
why. If you chose a particular data set to align with your concentration in psychology, describe in a sentence or two why you have chosen this concentration. (2)
Describe the involved parties in the data set presented and the question that you can answer by the data. (3) Discuss why the data set exemplifies a study that
agrees with the APA’s Ethical Principles of Psychologists. (4) Discuss ethical issues that may arise when analyzing and reporting statistical data. (5) Describe one
way in which you will ensure your reporting of results will align with the APA’s Ethical Principles. This milestone is graded with the Milestone One Rubric.
Milestone Two: What Method Will You Use?
In Module Four, you will submit the Milestone Two Worksheet. In this milestone, you will address the following: (1) Indicate sample size (n = ?) and describe
what consequence(s) this sample size will have in terms of analyses and reporting. (2) Using the Choose Your Test document, select a statistical procedure
appropriate to your scenario/data. Explain why you selected that test, linking features of the scenario/data to information from the Choose Your Test document.
This milestone addresses critical elements Section II, parts A and B only. You will do the calculations for Section II parts C, D, E, and F as you complete your final
project. This milestone is graded with the Milestone Two Rubric.
Milestone Three: Hypothesizing
In Module Five, you will submit the Milestone Three Worksheet. In this milestone, you will indicate the null hypothesis and the alternative hypothesis and state
your understanding of what the hypotheses mean. This milestone is graded with the Milestone Three Rubric.
Final Submission:
In Module Seven, you will submit the statistical analysis report. You will complete the remaining critical elements, Section II C–F (Data Analysis), Section IV
(Results), and Section V (Conclusion). Combine these elements with your revised milestones to develop a complete, polished artifact containing all of the critical
elements of the final project. It should reflect the incorporation of feedback gained throughout the course. This submission will be graded using the Final
Project Rubric.
Deliverables
Milestone
Deliverable
Module Due
Grading
One
Are Things All Right Ethically?
Two
Graded separately; Milestone One Rubric
Two
What Method Will You Use?
Four
Graded separately; Milestone Two Rubric
Hypothesizing
Five
Graded separately; Milestone Three Rubric
Seven
Graded separately; Final Project Rubric
Three
Final Submission: Statistical Analysis Report
Final Project Rubric
Guidelines for Submission: Your report should be approximately 4 to 5 pages (not including cover page, references, graphs, and/or visuals) and must be written
in APA format. Use double spacing, one-inch margins, and 12-point Times New Roman font. Include a cover page for your report. Include at least three
references, cited in APA format.
Critical Elements
Exemplary (100%)
Introduction: Scenario Meets “Proficient” criteria and
summary is exceptionally clear
and contextualized around the
problem or question being
addressed
Introduction: Scenario Meets “Proficient” criteria and
Agrees
uses industry-specific language to
establish expertise
Introduction: Ethical
Issues
Meets “Proficient” criteria and
draws insightful connections
between ethical issues and data
analysis and reporting
Proficient (85%)
Provides a summary of the
scenario chosen
Needs Improvement (55%)
Provides a summary of the
scenario chosen, but summary is
cursory or illogical
Not Evident (0%)
Does not summarize the scenario
chosen
Value
3
Discusses why the scenario
exemplifies a study that agrees
with the APA’s Ethical Principles
of Psychologists
Discusses why the scenario
exemplifies a study that agrees
with the APA’s Ethical Principles
of Psychologists, but discussion is
cursory or illogical
Discusses ethical issues that may
potentially arise when analyzing
and reporting statistical data, but
discussion is cursory or illogical
Does not discuss why the
scenario exemplifies a study that
agrees with the APA’s Ethical
Principles of Psychologists
3
Does not discuss ethical issues
that may potentially arise when
analyzing and reporting statistical
data
6.26
Discusses ethical issues that may
potentially arise when analyzing
and reporting statistical data
Introduction: Ensure
Alignment
Meets “Proficient” criteria and
demonstrates a nuanced
understanding of ethical data
analysis and reporting
Explains what will be done in
personal data analysis and
reporting to ensure alignment
with the expectations of the APA
Ethical Principles of Psychologists
Explains what will be done in
personal data analysis and
reporting to ensure alignment
with the expectations of the APA
Ethical Principles of
Psychologists, but explanation is
illogical or irrelevant
Data Analysis: Sample Meets “Proficient” criteria and
Identifies the sample size and
Identifies the sample size and
Size
explanation demonstrates a
explains how the sample size will explains how the sample size will
sophisticated awareness of how inform the statistical analysis
inform the statistical analysis but
the sample size can inform
explanation is cursory or contains
statistical analysis
inaccuracies
Data Analysis:
Meets “Proficient” criteria and
Selects what procedures should Selects what procedures should
Statistical Procedures demonstrates a nuanced
be implemented in the analysis
be implemented in the analysis
understanding of appropriate
and justifies why these statistical and justifies why these statistical
application of statistical
procedures are appropriate
procedures are appropriate, but
procedures
some procedures selected are
not appropriate or the
justification is not logical
Data Analysis: Chance Meets “Proficient” criteria and
Explains how statistical
Explains how statistical
Factors
explanation is exceptionally clear procedures can help determine
procedures can help determine
and contextualized
whether the data is attributable whether the data is attributable
to chance factors
to chance factors, but
explanation is illogical
Data Analysis: Mean
Computes the mean and
Computes the mean and
and Standard
standard deviation accurately for standard deviation for each set of
Deviation
each set of scores using
scores, but computations are not
appropriate abbreviations and
accurate or do not use
terminology
appropriate abbreviations and
terminology
Data Analysis:
Prepares an accurate,
Prepares a histogram graph for
Histogram
appropriately labeled histogram each set of scores or score
graph for each set of scores or
distribution, but the graphs are
score distribution
not accurate or are not
appropriately labeled
Data Analysis: Shape Meets “Proficient” criteria and
Evaluates the shape of each
Evaluates the shape of each
evaluation demonstrates keen
distribution using created
distribution using created
insight into what the shape of a histograms
histograms, but evaluation is
distribution says about the data
cursory or contains inaccuracies
Does not explain what will be
done in personal data analysis
and reporting to ensure
alignment with the expectations
of the APA Ethical Principles of
Psychologists
6.26
Does not identify the sample size
or explain how the sample size
will inform the statistical analysis
6.26
Does not select what procedures
should be implemented in the
analysis and justify why these
statistical procedures are
appropriate
6.26
Does not explain how statistical
procedures can help determine
whether the data is attributable
to chance factors
6.26
Does not compute the mean and
standard deviation for each set of
scores
6.26
Does not prepare a histogram
graph for each set of scores or
score distribution
6.26
Does not evaluate the shape of
each distribution using created
histograms
6.26
Hypothesis: Whether
One Mean is Higher
Accurately determines whether Determines whether one mean is
one mean is higher, showing how higher, but result is inaccurate or
the determination was made
does not show how the
determination was made
Hypothesis: Null
Accurately identifies the null
Identifies the null hypothesis and
Hypothesis and
hypothesis and alternative
alternative hypothesis in
Alternative Hypothesis
hypothesis in language based on language based on what is being
what is being compared and
compared, but identification is
using appropriate statistical
not accurate or does not use
symbols
appropriate statistical symbols
Results: Valid
Accurately determines if the data Determines if the data provides
provides evidence for a valid
evidence for a valid effect, but
effect
the determination is illogical or
inaccurate
Results: Statistically Meets “Proficient” criteria and
Explains whether or not the
Explains whether or not the
Significant
explanation is exceptionally clear results are statistically significant results are statistically significant,
and contextualized
but explanation is cursory or
illogical
Results: Graphs
Meets “Proficient” criteria and
Presents accurate, properly
Presents graphs representing the
graphs are exceptionally well
labeled graphs representing the data analysis results, but the
developed and readable
data analysis results detailed
graphs are inaccurate,
clearly for ease of stakeholder
improperly labeled, or are lacking
interpretation
in detail
Conclusion:
Meets “Proficient” criteria and
Explains the interpretation of the Explains the interpretation of the
Interpretation
uses discipline-specific
data
data, but explanation is cursory
terminology to establish
or illogical
expertise without overwhelming
stakeholders
Conclusion: Data
Meets “Proficient” criteria and
Justifies the data analysis
Justifies the data analysis
Analysis Procedures demonstrates a deep
procedures used to reach the
procedures used to reach the
understanding of ethical data
interpretation
interpretation, but justification is
analysis procedures
illogical
Conclusion: More
Meets “Proficient” criteria and
Discusses whether it would be
Discusses whether it would be
Statistical Procedures discussion is exceptionally clear appropriate to conduct more
appropriate to conduct more
and contextualized
statistical procedures to further statistical procedures to further
interpret the data
interpret the data, but discussion
is cursory or contains issues of
clarity
Does not determine whether one
mean is higher
6.26
Does not identify the null
hypothesis and alternative
hypothesis
6.26
Does not determine if the data
provides evidence for a valid
effect
3.76
Does not explain whether or not
the results are statistically
significant
3.76
Does not present graphs
representing the data analysis
results
6.26
Does not explain the
interpretation of the data
3.76
Does not justify the data analysis
procedures used to reach the
interpretation
3.76
Does not discuss whether it
would be appropriate to conduct
more statistical procedures to
further interpret the data
3.76
Articulation of
Response
Submission is free of errors
Submission has no major errors
related to citations, grammar,
related to citations, grammar,
spelling, syntax, and organization spelling, syntax, or organization
and is presented in a professional
and easy to read format
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
Total
6.34
100%
Running head: (insert title of your paper here)
Insert Title of Paper
Insert Name
Southern New Hampshire University
1
(insert title of your paper here)
2
Insert Title of Paper
Introduction: Scenario (From Milestone 1)
Introduction: Scenario Agrees (From Milestone 1)
Introduction: Ethical Issues (From Milestone 1)
Introduction: Ensure Alignment (From Milestone 1)
Data Analysis: Sample (From Milestone 2)
Data Analysis: Statistical Procedures (From Milestone 2)
Data Analysis: Chance Factors
Data Analysis: Mean and Standard Deviation
(insert title of your paper here)
3
Data Analysis: Histogram (may need to attach separate excel file with histograms and
other graphs).
Data Analysis: Shape
Hypothesis: Whether One Mean is Higher
Hypothesis: Null Hypothesis and Alternative Hypothesis (From milestone 3)
Results: Valid
Results: Statistically Significant
Results: Graphs (may need to attach separate excel file with histograms and other graphs).
Conclusion: Interpretation
(insert title of your paper here)
Conclusion: Data Analysis Procedures
Conclusion: More Statistical Procedures
4
(insert title of your paper here)
5
References
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