# rsch6210 full course latest 2017 (except week 2 assignment)

Question

Week 1 discussion

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.

Week 2 discussion

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?

Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message.

Week 3 discussion

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.

Week 4 discussion

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.

By Day 5

Respond to one of your colleague’s posts and explain how you might see the implications differently.

Week 5 discussion

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?

By Day 5

Respond to at least one of your colleagues’ posts and explain the benefits and consequences of the “relaxed” level of significance.

Week 6 discussion

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?

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?

Week 7 discussion

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.

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?

Week 8 discussion

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.

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?

Week 9 discussion

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.

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.

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?

Week 10 discussion

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?

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.

Week 11 discussion

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.

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.

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?

Week 1 assignment

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.

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.

Week 4 assignment

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.

Week 5 assignment

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.

Click on the Submit button to complete your submission.

Week 6 assignment 1

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.

Click on the Submit button to complete your submission.

Week 6 assignment 2

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.

Click on the Submit button to complete your submission.

Week 7 assignment 1

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.

Click on the Submit button to complete your submission.

Week 7 assignment 2

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.

Click on the Submit button to complete your submission.

Week 8 assignment 1

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.

Click on the Submit button to complete your submission.

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.

Click on the Submit button to complete your submission.

Week 9 assignment

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.

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.

Click on the Submit button to complete your submission.

Week 10 assignment

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.

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.

Click on the Submit button to complete your submission.

Week 11 assignment

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 Resources.

Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.

Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.

Once you perform your categorical data 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 1- to 2-paragraph analysis of your categorical data results for each research scenario. 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.

By Day 7

Submit your Assignment: Testing for Bivariate Categorical Analysis.

Submission and Grading Information

To submit your completed Assignment for review and grading, do the following:

Please save your Assignment using the naming convention “WK11Assgn+last name+first initial.(extension)” as the name.

Click the Week 11 Assignment Rubric to review the Grading Criteria for the Assignment.

Click the Week 11 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 “WK11Assgn+last name+first initial.(extension)” and click Open.

Click on the Submit button to complete your submission.

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