Quantitative Reasoning and Analysis
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RSCH 6210 Quantitative Reasoning and Analysis Entire
Course-Walden
RSCH6210
RSCH 6210 Quantitative Reasoning and Analysis
(Except Week 2 Assignment)
RSCH 6210 Week 1 Discussion Latest-Walden
The Logic of Inference: The Science of Uncertainty
Describing and explaining social phenomena is a complex task. Box’s
quote speaks to the point that it is a near impossible undertaking to fully
explain such systems—physical or social—using a set of models. Yet even though
these models contain some error, the models nevertheless assist with
illuminating how the world works and advancing social change.
The competent quantitative researcher understands the balance
between making statements related to theoretical understanding of relationships
and recognizing that our social systems are of such complexity that we will
always have some error. The key, for the rigorous researcher, is recognizing
and mitigating the error as much as possible.
As a graduate student and consumer of research, you must
recognize the error that might be present within your research and the research
of others.
To prepare for this Discussion:
Use the Walden Library Course Guide and Assignment Help found in
this week’s Learning Resources to search for and select a quantitative article
that interests you and that has social change implications.
As you read the article, reflect on George Box’s quote in the
introduction for this Discussion.
For additional support, review the Skill Builder: Independent
and Dependent Variables, which you can find by navigating back to your
Blackboard Course Home Page. From there, locate the Skill Builder link in the
left navigation pane.
By Day 3
Post a very brief description (1–3 sentences) of the article you
found and address the following:
Describe how you think the research in the article is useful
(e.g., what population is it helping? What problem is it solving?).
Using Y=f(X) +E notation, identify the independent and dependent
variables.
How might the research models presented be wrong? What types of
error might be present in the reported research?
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Remembering that all research has some error, respond to at
least one colleague’s post and comment on how we as social change agents and
critical consumers of research can balance the usefulness with the error in the
research. Do we throw the research out because of too much error, or is there
something useful that it can tell us?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 2 Discussion Latest-Walden
Displaying Data
Visual displays of data provide you and anyone else with a
graphical display of what is often a complex array of quantitative data. A key
strength of visualization is the ability to quickly enlighten you with key
data. Rather than solely relying on your audience to interpret numerical values
and statistics explained in a narrative, a visual display can easily illustrate
descriptions, relationships, and trends. Although the focus is on simplicity,
the researcher has an obligation to present these graphical displays in a clear
and meaningful way.
For this Discussion, you will explore ways to appropriately
display data.
To prepare for this Discussion:
Review the Learning Resources for this week related to frequency
distributions and graphic displays of data.
Using the SPSS software, open the General Social Survey dataset
found in this week’s Learning Resources.
Next, create a figure or table from a few selected variables
within the dataset.
Finally, think about what is good about how the data are
displayed in the figure or table you created and what is not so good.
By Day 3
Post your display of the table or figure you created and provide
an explanation of why this would be the best way to display the data provided.
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ post and determine
whether you are able to understand the “whole picture” of the data or
understand the data in its entirety. What might you add to their display and
why? What might you change to their display and why?
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entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 3 Discussion Latest-Walden
Central Tendency and Variability
Understanding descriptive statistics and their variability is a
fundamental aspect of statistical analysis. On their own, descriptive
statistics tell us how frequently an observation occurs, what is considered
“average”, and how far data in our sample deviate from being “average.” With
descriptive statistics, we are able to provide a summary of characteristics
from both large and small datasets. In addition to the valuable information
they provide on their own, measures of central tendency and variability become
important components in many of the statistical tests that we will cover.
Therefore, we can think about central tendency and variability as the
cornerstone to the quantitative structure we are building.
For this Discussion, you will examine central tendency and
variability based on two separate variables. You will also explore the
implications for positive social change based on the results of the data.
To prepare for this Discussion:
Review this week’s Learning Resources and the Descriptive
Statistics media program.
For additional support, review the Skill Builder: Visual
Displays for Categorical Variables and the Skill Builder: Visual Displays for
Continuous Variables, which you can find by navigating back to your Blackboard
Course Home Page. From there, locate the Skill Builder link in the left navigation
pane.
Review the Chapter 4 of the Wagner text and the examples in the
SPSS software related to central tendency and variability.
From the General Social Survey dataset found in this week’s
Learning Resources, use the SPSS software and choose one continuous and one
categorical variable Note: this dataset will be different from your Assignment
dataset).
As you review, consider the implications for positive social
change based on the results of your data.
By Day 3
Post, present, and report a descriptive analysis for your
variables, specifically noting the following:
For your continuous variable:
Report the mean, median, and mode.
What might be the better measure for central tendency? (i.e.,
mean, median, or mode) and why?
Report the standard deviation.
How variable are the data?
How would you describe this data?
What sort of research question would this variable help answer
that might inform social change?
Post the following information for your categorical variable:
A frequency distribution.
An appropriate measure of variation.
How variable are the data?
How would you describe this data?
What sort of research question would this variable help answer
that might inform social change?
Be sure to support your Main Post and Response Post with reference
to the week’s Learning Resources and other scholarly evidence in APA Style.
By Day 5
Respond to at least one colleagues’ post with a comment on the
presentation and interpretation of their analysis. In your response, address
the following questions:
Was the presentation of results clear? If so, provide some
specific comments on why. If not, provide constructive suggestions.
Are you able to understand how the results might relate back to
positive social change? Do you think there are other aspects of positive social
change related to the results?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 4 Discussion Latest-Walden
The Importance of Relationships
As its name implies, confidence intervals provide a range of
values, along with a level of confidence, to serve as an estimate of some
unknown population value. Since it is rare to have access to the entire
population, you must frequently rely on the confidence interval of the sample
to make some inference about the population of interest. Before making accurate
inferences to the population, we need to fully understand how the three key
components of the interval—variability in the data, sample size, and confidence
level—impact the width of the interval.
For this Discussion, you will explore the relationship between
these components and understand the trade-off between reducing risk in our
confidence of estimates and increasing precision.
To prepare for this Discussion:
Review Chapters 7 and 8 of the Frankfort-Nachmias &
Leon-Guerrero text and in Chapter 8, p. 256, consider the 2012 Benghazi
Terrorist Attack Investigation and focus on how different levels of confidence
and sample size work together.
Review Magnusson’s web blog found in the Learning Resources to
further your visualization and understanding of confidence intervals.
Use the Course Guide and Assignment Help found in this week’s
Learning Resources to search for a quantitative article related to confidence
intervals.
Using the SPSS software, General Social Survey dataset and
choose a quantitative variable that interests you.
By Day 3
Using SPSS:
Take a random sample of 100.
Calculate the 95% confidence interval for the variable.
Calculate a 90% confidence interval.
Take another random sample of 400.
Calculate the 95% confidence interval for the variable.
Calculate a 90% confidence interval.
Post your results and an explanation of how different levels of
confidence and sample size affect the width of the confidence interval. Next,
consider the statement, “Confidence intervals are underutilized” and explain
what the implications might be of using or not using confidence intervals.
Provide examples based on the results of your data. Also, use your research to
support your findings.
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to one of your colleague’s posts and explain how you
might see the implications differently.
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 5 Discussion Latest-Walden
Statistical Significance and Meaningfulness
Once you start to understand how exciting the world of
statistics can be, it is tempting to fall into the trap of chasing statistical
significance. That is, you may be tempted always to look for relationships that
are statistically significant and believe they are valuable solely because of
their significance. Although statistical hypothesis testing does help you
evaluate claims, it is important to understand the limitations of statistical
significance and to interpret the results within the context of the research
and its pragmatic, “real world” application.
As a scholar-practitioner, it is important for you to understand
that just because a hypothesis test indicates a relationship exists between an
intervention and an outcome, there is a difference between groups, or there is
a correlation between two constructs, it does not always provide a default
measure for its importance. Although relationships are significant, they can be
very minute relationships, very small differences, or very weak correlations.
In the end, we need to ask whether the relationships or differences observed
are large enough that we should make some practical change in policy or
practice.
For this Discussion, you will explore statistical significance
and meaningfulness.
To prepare for this Discussion:
Review the Learning Resources related to hypothesis testing,
meaningfulness, and statistical significance.
Review Magnusson’s web blog found in the Learning Resources to
further your visualization and understanding of statistical power and significance
testing. Review the American Statistical Association’s press release and
consider the misconceptions and misuse of p-values.
Consider the scenario:
A research paper claims a meaningful contribution to the
literature based on finding statistically significant relationships between
predictor and response variables. In the footnotes, you see the following
statement, “given this research was exploratory in nature, traditional levels
of significance to reject the null hypotheses were relaxed to the .10 level.”
By Day 3
Post your response to the scenario in which you critically
evaluate this footnote. As a reader/reviewer, what response would you provide
to the authors about this footnote?
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and explain
the benefits and consequences of the “relaxed” level of significance.
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 6 Discussion Latest-Walden
Research Design and t Tests: How Are They Connected?
The best way to solidify your understanding of statistical
testing is to actually engage in performing some data analysis. This week you
will work with a real, secondary dataset to construct a research question,
perform a t test, and interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback.
For this Discussion, you will post your response to the
hypothesis test, along with the results. Be sure and remember that the goal is
to obtain constructive feedback to improve the research and its interpretation,
so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
Review the Learning Resources and the media programs related to
t tests.
Using the SPSS software, open the High School Longitudinal Study
dataset found in this week’s Learning Resources and construct a research
question that involves a comparison of a means test.
By Day 3
Use SPSS to answer the research question you constructed and
post your response to the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What comparison of means test was used to answer the question
(be sure to defend the use of the test using the article you found in your
search)?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
If you found significance, what is the strength of the effect?
Identify your research question and explain your results for a
lay audience, what is the answer to your research question?
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to one of your colleagues’ posts and:
Make recommendations for the design choice.
Explain whether you think that this is the appropriate t test to
use for the question. Why or why not?
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 7 Discussion Latest-Walden
Research Design for One-Way ANOVA
Similar to the previous week’s Discussion, this Discussion
assists in solidifying your understanding of statistical testing by engaging in
some data analysis. This week, you will once again work with a real, secondary
dataset to construct a research question, perform a one-way ANOVA, and
interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback. For this
Discussion, you will post your response to the hypothesis test, along with the
results. Be sure and remember that the goal is to obtain constructive feedback
to improve the research and its interpretation, so please view this as an
opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related
to one-way ANOVA testing.
Using the SPSS software, open the General Social Survey dataset
found in this week’s Learning Resources.
Using the General Social Survey dataset, construct a research
question that can be answered by a one-way ANOVA.
By Day 3
Use SPSS to answer the research question. Post your response to
the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience and further explain what
the answer is to your research question.
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and respond
based the following:
Do you think the variables are appropriately used? Why or why
not?
Does the analysis answer the research question? Be sure to
provide constructive and helpful comments for possible improvement.
If there was a significant effect, comment on the strength and
its meaningfulness.
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 8 Discussion Latest-Walden
Correlation and Bivariate Regression
Similar to the previous week’s Discussion, this Discussion
assists in solidifying your understanding of statistical testing by engaging in
some data analysis. This week you will once again work with a real, secondary
dataset to construct a research question, perform a correlation and bivariate
regression model, and interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback. For this
Discussion, you will post your response to the hypothesis test, along with the
results. Be sure and remember that the goal is to obtain constructive feedback
to improve the research and its interpretation, so please view this as an
opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related
to regression and correlation.
Review Magnusson’s web blog found in the Learning Resources to
further your visualization and understanding of correlations between two
variables.
Construct a research question using the General Social Survey
dataset, which can be answered by a Pearson correlation and bivariate
regression.
By Day 3
Use SPSS to answer the research question. Post your response to
the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience; explain the answer to
your research question.
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and comment on
the following:
Do you think the variables are appropriately used? Why or why
not?
Does the analysis answer the research question? Be sure and
provide constructive and helpful comments for possible improvement.
If there was a significant effect, comment on the strength and
its meaningfulness.
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 9 Discussion Latest-Walden
Multiple Regression
As with the previous week’s Discussion, this Discussion assists
in solidifying your understanding of statistical testing by engaging in some
data analysis. This week you will once again work with a real, secondary
dataset to construct a research question, estimate a multiple regression model,
and interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback. For this
Discussion, you will post your response to the hypothesis test, along with the
results. Be sure and remember that the goal is to obtain constructive feedback
to improve the research and its interpretation, so please view this as an
opportunity to learn from one another.
To prepare for this Discussion:
Review this week’s Learning Resources and media program related
to multiple regression.
Create a research question using the General Social Survey that
can be answered by multiple regression.
By Day 3
Use SPSS to answer the research question. Post your response to
the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
What other variables were added to the multiple regression
models as controls?
What is the justification for adding the variables?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience, explain what the answer
to your research question.
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and comment on
the following:
Do you think the variables are appropriately used? Why or why
not?
Does the addition of the control variables make sense to you?
Why or why not?
Does the analysis answer the research question? Be sure and
provide constructive and helpful comments for possible improvement.
If there was a significant effect, comments on the strength and
its meaningfulness.
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 10 Discussion Latest-Walden
Estimating Models Using Dummy Variables
You have had plenty of opportunity to interpret coefficients for
metric variables in regression models. Using and interpreting categorical
variables takes just a little bit of extra practice. In this Discussion, you
will have the opportunity to practice how to recode categorical variables so
they can be used in a regression model and how to properly interpret the
coefficients. Additionally, you will gain some practice in running diagnostics and
identifying any potential problems with the model.
To prepare for this Discussion:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course
text and the media program found in this week’s Learning Resources and consider
the use of dummy variables.
Create a research question using the General Social Survey
dataset that can be answered by multiple regression. Using the SPSS software,
choose a categorical variable to dummy code as one of your predictor variables.
By Day 3
Estimate a multiple regression model that answers your research
question. Post your response to the following:
What is your research question?
Interpret the coefficients for the model, specifically
commenting on the dummy variable.
Run diagnostics for the regression model. Does the model meet
all of the assumptions?
Be sure and comment on what assumptions were not met and the
possible implications. Is there any possible remedy for one the assumption
violations?
Be sure to support your Main Post and Response Post with
reference to the week’s Learning Resources and other scholarly evidence in APA
Style.
By Day 5
Respond to at least one of your colleagues’ posts and provide a
constructive comment on their assessment of diagnostics.
Were all assumptions tested for?
Are there some violations that the model might be robust
against? Why or why not?
Explain and provide any additional resources (i.e., web links,
articles, etc.) to provide your colleague with addressing diagnostic issues.
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 11 Discussion Latest-Walden
Categorical Data Analysis
As with the previous week’s Discussion, this Discussion assists
in solidifying your understanding of statistical testing by engaging in some
data analysis. This week you will once again work with a real, secondary
dataset to construct a research question, perform categorical data analysis
that answers the question, and interpret the results.
Whether in a scholarly or practitioner setting, good research
and data analysis should have the benefit of peer feedback. For this
Discussion, you will post your response to the hypothesis test, along with the
results. Be sure and remember that the goal is to obtain constructive feedback
to improve the research and its interpretation, so please view this as an
opportunity to learn from one another.
To prepare for this Discussion:
Review Chapters 10 and 11 of the Frankfort-Nachmias &
Leon-Guerrero course text and the media program found in this week’s Learning
Resources related to bivariate categorical tests. Create a research question
using the General Social Survey dataset that can be answered using categorical
analysis.
By Day 3
Use SPSS to answer the research question. Post your response to
the following:
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variable is used and how is it measured?
If you found significance, what is the strength of the effect?
Explain your results for a lay audience and further explain what
the answer is to your research question.
Be sure to support your Main Post and Response Post with reference
to the week’s Learning Resources and other scholarly evidence in APA Style.
By Day 5
Respond to at least one of your colleagues’ posts and comment on
the following:
Do you think the variables are appropriately used? Why or why
not?
Does the analysis answer the research question? Be sure and
provide constructive and helpful comments for possible improvement.
As a lay reader, were you able to understand the results and
their implications? Why or why not?
Click on the Reply button below to reveal the textbox for
entering your message. Then click on the Submit button to post your message.
RSCH 6210 Week 1 Assignment Latest-Walden
Assignment: Variables, Measurement, and SPSS
Quantitative research consists of testing and understanding
relationships between variables. Researchers construct these variables as
measureable expressions of social phenomena. Modern statistics provides you
with a host of resources to answer questions, but each statistical test has a
set of assumptions regarding the measurement of the variables. It is therefore
important to understand how variables are measured because their measurement
will influence the type of analytic tools available to you.
SPSS is a statistical software program that allows you to enter
these variables into a spreadsheet format and record the measurements from a
sample. Additionally, SPSS allows you to perform statistical analysis. Before
launching into your analyses, though, it is important to understand how the
variables are measured. That understanding will help you interpret the SPSS
output.
In this week’s Discussion, you considered topics with social
change implications. For this Assignment, you will examine data to analyze
independent and dependent variables, determine how they are measured, and decipher
whether a social change question can be answered and the implications for such
change.
To prepare for this Assignment:
Review the Learning Resources as well as the SPSS resources
found in this week’s Learning Resources.
Review, download, and install the SPSS software on your computer
using the IBM SPSS Version 23 Installation and Registration document for PC or
for MAC in this week’s Learning Resources.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you choose) found in this
week’s Learning Resources and then choose two variables that interest you.
For this Assignment:
Write a 1- to 2-page summary and include the following:
A description of what the each of the variables measure.
A description of the unit of analysis.
A description and explanation of the levels of measurement for
each variable (i.e., nominal, ordinal, interval, ratio).
Explain how you might conceive these variables to be used to
answer a social change question. What might be the implications for social
change?
Support your summary using appropriate scholarly citations and
references. Use proper APA format.
By Day 7
Submit your Assignment 1: Variables, Measurement, and SPSS.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK1Assgn+last name+first initial.(extension)” as the name.
Click the Week 1 Assignment Rubric to review the Grading
Criteria for the Assignment.
Click the Week 1 Assignment link. You will also be able to “View
Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK1Assgn+last name+first initial.(extension)”
and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 3 Assignment Latest-Walden
Assignment: Introduction to Quantitative Analysis: Descriptive
Analysis
In this Assignment, you will differentiate between the proper
use of summary statistics for categorical and continuous level data. In this
exercise, you will explore what output is provided for each of these variables
and provide some meaning from these statistics for your reader. The ability to
place the statistics into a context that your reader understands and can make
sense of is a highly desirable skill.
For this Introduction to Quantitative Analysis: Descriptive
Analysis Assignment, you will examine the same two variables you used from your
Week 2 Assignment and perform the appropriate descriptive analysis of the data
given.
To prepare for this Assignment:
Review this week’s Learning Resources and the Central Tendency
and Variability media program.
For additional support, review the Skill Builder: Visual
Displays for Categorical Variables and the Skill Builder: Visual Displays for
Continuous Variables, which you can find by navigating back to your Blackboard
Course Home Page. From there, locate the Skill Builder link in the left
navigation pane.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset from your Assignment in Week 2.
Choose the same two variables you chose from your Week 2
Assignment and perform the appropriate descriptive analysis of the data.
Once you perform your descriptive analysis, review Chapter 11 of
the Wagner text to understand how to copy and paste your output into your Word
document.
Write a 2- to 3-paragraph analysis of your descriptive analysis
results and include a copy and paste your output from your analysis into your
final document.
Based on the results of your data, provide a brief explanation
of what the implications for social change might be.
Use appropriate APA format, citations and referencing. Refer to
the APA manual for appropriate citation.
By Day 7
Submit your Introduction to Quantitative Analysis: Descriptive
Analysis Assignment.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK3Assgn+last name+first initial.(extension)” as the name.
Click the Week 3 Assignment Rubric to review the Grading
Criteria for the Assignment.
Click the Week 3 Assignment link. You will also be able to “View
Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK4Assgn+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 4 Assignment Latest-Walden
Assignment: Introduction to Quantitative Analysis: Confidence
Intervals
In your Week 2 Assignment, you displayed data based on a
categorical variable and continuous variable from a specific dataset. In Week
3, you used the same variables as in Week 2 to perform a descriptive analysis
of the data. For this Assignment, you will calculate a confidence interval in
SPSS for one of the variables from your Week 2 and Week 3 Assignments.
To prepare for this Assignment:
Review the Learning Resources related to probability, sampling
distributions, and confidence intervals.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you chose) from Week 2.
Choose an appropriate variable from Weeks 2 and 3 and calculate
a confidence interval in SPSS.
Once you perform your confidence interval, review Chapter 5 and
11 of the Wagner text to understand how to copy and paste your output into your
Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your results and include a
copy and paste of the appropriate visual display of the data into your
document.
Based on the results of your data in this confidence interval
Assignment, provide a brief explanation of what the implications for social
change might be.
By Day 7
Submit your Introduction to Quantitative Analysis: Confidence
Intervals Assignment.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK4Assgn+last name+first initial.(extension)” as the name.
Click the Week 4 Assignment Rubric to review the Grading
Criteria for the Assignment.
Click the Week 4 Assignment link. You will also be able to “View
Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK4Assgn+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 5 Assignment Latest-Walden
Assignment: Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed questions of published material.
Sometimes, claims are made that do not match the results of the analysis.
Unfortunately, this is why statistics is sometimes unfairly associated with
telling lies. These misalignments might not be solely attributable to
statistical nonsense, but also “user error.” One of the greatest areas of user
error is within the practice of hypothesis testing and interpreting statistical
significance. As you continue to consume research, be sure and read everything
with a critical eye and call out statements that do not match the results.
For this Assignment, you will examine statistical significance
and meaningfulness based on sample statements.
To prepare for this Assignment:
Review the Week 5 Scenarios found in this week’s Learning
Resources and select two of the four scenarios for this Assignment.
For this Assignment:
Critically evaluate the two scenarios you selected based upon
the following points:
Critically evaluate the sample size.
Critically evaluate the statements for meaningfulness.
Critically evaluate the statements for statistical significance.
Based on your evaluation, provide an explanation of the
implications for social change.
Use proper APA format and citations, and referencing.
By Day 7
Submit your Evaluating Significance of Findings Assignment.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK5Assgn+last name+first initial.(extension)” as the name.
Click the Week 5 Assignment Rubric to review the Grading
Criteria for the Assignment.
Click the Week 5 Assignment link. You will also be able to “View
Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK5Assgn+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 6 Assignment 1 Latest-Walden
Assignment 1: Testing Hypotheses for Means
This week you have explored three different approaches to t
tests. By this point, you know that each test has assumptions about the data
and type of research questions it can answer. For this Assignment, you will be
provided with three scenarios. As you read the scenarios, be sure and think
about aligning the appropriate t test with the question. Consider whether the
data are independent samples and if two samples are being compared.
To prepare for this Assignment:
Review the Learning Resources and the media programs related to
t tests.
Also, review the t test scenarios found in this week’s Learning
Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the
High School Longitudinal Study dataset or the Afrobarometer dataset from this
week’s Learning Resources using SPSS software, then choose and run the
appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the
Wagner text to understand how to copy and paste your output into your Word
document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your t test results for
each research scenario and include the SPSS syntax and output. Based on your
results, provide an explanation of what the implications of social change might
be.
Use proper APA format, citations, and referencing for your
analysis, research questions, and output.
By Day 7
Submit Assignment 1: Testing Hypothesis for a Mean.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK6Assgn1+last name+first initial.(extension)” as the name.
Click the Week 6 Assignment 1 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 6 Assignment 1 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK6Assgn1+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 6 Assignment 2 Latest-Walden
Assignment 2: t Tests in Practice
The practice of quantitative research not only involves
statistical calculations and formulas but also involves the understanding of
statistical techniques related to real world applications. You might not become
a quantitative researcher nor use statistical methods in your profession, but
as a consumer, citizen, and scholar-practitioner, it will be important for you
to become a critical consumer of research, which will empower you to read,
interpret, and evaluate the strength of claims made in scholarly material and daily
news.
For this Assignment, you will critically evaluate a scholarly
article related to t tests.
To prepare for this Assignment:
Search for and select a quantitative article specific to your
discipline and related to t tests. Help with this task may be found in the
Course guide and assignment help linked in this week’s Learning Resources.
For this Assignment:
Write a 2- to 3-page critique of the article. In your critique,
include responses to the following:
Why did the authors use this t test?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
By Day 7
Submit Assignment 2: t tests in Practice.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK6Assgn2+last name+first initial.(extension)” as the name.
Click the Week 6 Assignment 2 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 6 Assignment 2 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK6Assgn2+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 7 Assignment 1 Latest-Walden
Assignment 1: Testing for One-Way ANOVA
You had the chance earlier in the week to practice with the
one-way ANOVA and obtain peer feedback. Now it is time to put all of that good
practice to use and answer a social research question with the one-way ANOVA.
As you head into the assignment, be sure and pay close attention to the
assumptions of the test. Specifically, make sure the dependent and independent
variables (factor) are amenable to use in the ANOVA (i.e., be sure to note
levels of measurement).
For this Assignment, you will examine the one-way ANOVA based on
a research question.
To prepare for this Assignment:
Review this week’s Learning Resources and media program related
to one-way ANOVA testing.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you choose) found in the
Learning Resources for this week.
Based on the dataset you chose, construct a research question
that can be answered with a one-way ANOVA.
Once you perform your one-way ANOVA analysis, review Chapter 11
of the Wagner text to understand how to copy and paste your output into your
Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your one-way ANOVA results
for your research question. Include any post-hoc tests with an analysis of the
strength of any relationship found (effect size). Also, in your analysis,
display the data for the output. Based on your results, provide an explanation
of what the implications of social change might be.
Use proper APA format, citations, and referencing for your
analysis, research question, and display of output.
By Day 7
Submit Assignment 1: Testing for One-Way ANOVA.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK7Assgn1+last name+first initial.(extension)” as the name.
Click the Week 7 Assignment 1 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 7 Assignment 1 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK7Assgn1+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 7 Assignment 2 Latest-Walden
Assignment 2: One-Way ANOVA in Practice
For this Assignment, you will continue your practice as a
critical consumer of research. You will critically evaluate a scholarly article
related to one-way ANOVA testing.
To prepare for this Assignment:
Use the Course Guide and Assignment Help found in this week’s
Learning Resources and search for a quantitative article related to one-way
ANOVA testing.
For this Assignment:
Write a 2- to 3-page critique of the article you found. In your
critique, include responses to the following:
Why did the authors use this one-way ANOVA test?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Does the results table stand-alone (i.e., are you able to
interpret the study from it?)
Why or why not? Use proper APA format, citations, and referencing.
By Day 7
Submit Assignment 2: One-Way ANOVA in Practice.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK7Assgn2+last name+first initial.(extension)” as the name.
Click the Week 7 Assignment 2 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 7 Assignment 2 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK7Assgn2+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 8 Assignment 1 Latest-Walden
Assignment 1: Testing for Correlation and Bivariate Regression
You had the chance earlier in the week to practice with the correlation
and simple linear regression and obtain peer feedback. Hopefully you are
excited about the potential these tests hold; equally important is that you
recognize some of their weaknesses. Now, it is once again time to put all of
that good brainstorming to use and answer a social research question with the
correlation and simple linear regression. As you begin the Assignment, be sure
and pay close attention to the assumptions of the test. Specifically, make sure
that your variables are metric level variables that can easily be interpreted
in these tests.
For this Assignment, you will examine correlation and bivariate
regression testing.
To prepare for this Assignment:
Review this week’s Learning Resources and media program related
to regression and correlation.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you choose) found in the
Learning Resources for this week.
Based on the dataset you chose, construct a research question
that can be answered with a Pearson correlation and bivariate regression.
Once you perform your correlation and bivariate regression
analysis, review Chapter 11 of the Wagner text to understand how to copy and
paste your output into your Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your correlation and
bivariate regression results for each research question. In your analysis,
display the data for the output. Based on your results, provide an explanation
of what the implications of social change might be.
Use proper APA format, citations, and referencing for your
analysis, research question, and display of output.
By Day 7
Submit your Assignment 1: Testing for Correlation and Bivariate
Regression.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK8Assgn1+last name+first initial.(extension)” as the name.
Click the Week 8 Assignment 1 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 8 Assignment 1 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK8Assgn1+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 8 Assignment 2 Latest-Walden
Assignment 2: Correlation and Bivariate Regression in Practice
For this Assignment, you will continue your practice as a
critical consumer of research. You will critically evaluate a scholarly article
related to correlation and bivariate regression.
To prepare for this Assignment:
Use the Course Guide and Assignment Help found in this week’s
Learning Resources and search for a quantitative article related to correlation
and bivariate regression.
For this Assignment:
Write a 2- to 3-page critique of the article you found. In your
critique, include responses to the following:
Why did the authors use correlation or bivariate regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Does the results table stand-alone (i.e., are you able to
interpret the study from it?) Why or why not?
Use proper APA format, citations, and referencing.
By Day 7
Submit your Assignment 2: Correlation and Bivariate Regression
Practice.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK8Assgn2+last name+first initial.(extension)” as the name.
Click the Week 8 Assignment 2 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 8 Assignment 2 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK8Assgn2+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 9 Assignment 1 Latest-Walden
Assignment 1: Testing for Multiple Regression
You had the chance earlier in the week to practice with multiple
regression and obtain peer feedback. Now, it is time once again to put all of
that good practice to use and answer a social research question with multiple
regression. As you begin the Assignment, be sure and pay close attention to the
assumptions of the test. Specifically, make sure the variables are metric level
variables.
This Assignment includes two parts, Part 1 and Part 2. For this
Assignment, you will complete Part 1where you will create a research question
that can be answered using with multiple regression analysis.
Part 1
To prepare for this Part 1 of your Assignment:
Review this week’s Learning Resources and media program related
to multiple regression.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you choose) found in the
Learning Resources for this week.
Based on the dataset you chose, construct a research question
that can be answered with a multiple regression analysis.
Once you perform your multiple regression analysis, review
Chapter 11 of the Wagner text to understand how to copy and paste your output
into your Word document.
For this Part 1 Assignment:
Write a 1- to 2-page analysis of your multiple regression
results for each research question. In your analysis, display the data for the
output. Based on your results, provide an explanation of what the implications
of social change might be.
Use proper APA format, citations, and referencing for your
analysis, research question, and display of output.
No Assignment submission for this week.
By Day 7 of Week 10
Submit your final Assignment 1: Testing for Multiple Regression
Parts 1 and 2 by Day 7 of Week 10.
RSCH 6210 Week 9 Assignment 2 Latest-Walden
Assignment 2: Multiple Regression in Practice
For this Assignment, you will continue your practice as a
critical consumer of research. You will critically evaluate a scholarly article
related to multiple regression.
To prepare for this Assignment:
Use the Course Guide and Assignment Help found in this week’s
Learning Resources and search for a quantitative article that includes multiple
regression testing.
For this Assignment:
Write a 2- to 3-page critique of the article. In your critique,
include responses to the following:
Why did the authors use multiple regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Use proper APA format, citations, and referencing.
By Day 7
Submit your Assignment 2: Multiple Regression Practice.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK9Assgn2+last name+first initial.(extension)” as the name.
Click the Week 9 Assignment 2 Rubric to review the Grading
Criteria for the Assignment.
Click the Week 9 Assignment 2 link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK9Assgn2+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
RSCH 6210 Week 10 Assignment Latest-Walden
Assignment: Testing for Multiple Regression
In Week 9, you completed your Part 1 for this Assignment. For
this week, you will complete Part 2 where you will create a research question
that can be answered through multiple regression using dummy variables.
Part 2
To prepare for this Part 2 of your Assignment:
Review Warner’s Chapter 12 and Chapter 2 of the Wagner course
text and the media program found in this week’s Learning Resources and consider
the use of dummy variables.
Using the SPSS software, open the Afrobarometer dataset or the
High School Longitudinal Study dataset (whichever you choose) found in this
week’s Learning Resources.
Consider the following:
Create a research question with metric variables and one
variable that requires dummy coding. Estimate the model and report results.
Note: You are expected to perform regression diagnostics and report that as
well.
Once you perform your analysis, review Chapter 11 of the Wagner
text to understand how to copy and paste your output into your Word document.
For this Part 2 Assignment:
Write a 2- to 3-page analysis of your multiple regression using
dummy variables results for each research question. In your analysis, display
the data for the output. Based on your results, provide an explanation of what
the implications of social change might be.
Use proper APA format, citations, and referencing for your
analysis, research question, and display of output.
By Day 7
Submit Parts 1 and 2 of your Assignment: Testing for Multiple
Regression.
Submission and Grading Information
To submit your completed Assignment for review and grading, do
the following:
Please save your Assignment using the naming convention
“WK10Assgn+last name+first initial.(extension)” as the name.
Click the Week 10 Assignment Rubric to review the Grading
Criteria for the Assignment.
Click the Week 10 Assignment link. You will also be able to
“View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer
button. Find the document you saved as “WK10Assgn+last name+first
initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the
checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submit button to complete your submission.
Assignment: Testing for Bivariate Categorical Analysis
You have had plenty of practice with data analysis in the
Discussions and hopefully you have received helpful and encouraging feedback
from your colleagues. Now, for the last time in the course, it is time once again
to put all of that good practice to use and answer a social research question
using categorical statistical tools. As you begin the Assignment, be sure and
pay close attention to the assumptions of the test. Specifically, make sure the
variables are categorical level variables.
For this Assignment, you will consider three different
scenarios. Each of these scenarios include a research question. You will
examine each scenario, choose a categorical data analysis and run a sample
test.
To prepare for this Assignment:
Review Chapters 10 and 11 of the Frankfort-Nachmias &
Leon-Guerrero course text and the media program found in this week’s Learning
Resources related to bivariate categorical tests.
Using the SPSS software, open the Afrobarometer dataset found in
this week’s Learning R<
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