(Quantitative Reasoning and Analysis) Week 10 Discussion: Estimating Models Using Dummy Variables

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 Warners Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this weeks 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 weeks Learning Resources and other scholarly evidence in APA Style.

By Day 5

Respond to at least two 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.

(Quantitative Reasoning and Analysis) Week 9 Assignment: Multiple Regression in Practice.

Week 9 Assignment: 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 weeks Learning Resources and search for a quantitative article that includes multiple regression testing. Also, you can use as guide the Research

Why did the authors use multiple regression?
Do you think its the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?

(Quantitative Reasoning and Analysis) Week 8 Discussion: Correlation and Bivariate Regression.

Discussion: Correlation and Bivariate Regression

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on correlation and bivariate regression. 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 correlation and regression.
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Help with this task may be found in the Course guide and assignment help linked in this weeks Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this weeks Learning Resources.
By Day 3

Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:

What is the research design used by the authors?
Why did the authors use correlation or bivariate regression?
Do you think its the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?

Quantitative Reasoning and Analysis Week 7 (Discussion: Research Design for One-Way ANOVA)

Discussion: Research Design for One-Way ANOVA

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on ANOVA testing. 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 ANOVA testing.
Search for and select a quantitative article specific to your discipline and related to ANOVA testing. Help with this task may be found in the Course guide and assignment help linked in this weeks Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this weeks Learning Resources.
By Day 3 Wednesday

Write a 3- to 5-paragraphs critique of the article. In your critique, include responses to the following:

Which is the research design used by the authors?
Why did the authors use ANOVA test?
Do you think its the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?

Be sure to support your Main Post and Response Post with reference to the weeks Learning Resources and other scholarly evidence in APA Style.

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Be sure to support your Main Post and Response Post with reference to the weeks Learning Resources and other scholarly evidence in APA Style.

By Day 5 Friday

Respond to two of your colleagues posts and:

Make recommendations for the design choice.
Explain whether you think that this is the appropriate test to use for the research question. Why or why not?
As a lay reader, were you able to understand the results and their implications? Why or why not?
Submission and Grading Information

(Quantitative Reasoning and Analysis) Week 7 Assignment: Testing Hypotheses for Means

Assignment: 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.
For additional support, review the Skill Builder: Research Design and Statistical Design and the Skill Builder: Hypothesis Testing for Independent Samples t-test, 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.
Also, review the t test scenarios found in this weeks 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 weeks 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. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.

(Quantitative Reasoning and Analysis) Week 6: Discussion: Research Design and t Tests: How Are They Connected?

Discussion: Research Design and t Tests: How Are They Connected?

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. 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.
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 weeks Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this weeks Learning Resources
By Day 3 Wednesday

Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:

Which is the research design used by the authors?
Why did the authors use this t test?
Do you think its the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?

Be sure to support your Main Post and Response Post with reference to the weeks Learning Resources and other scholarly evidence in APA Style.

By Day 5 Friday

Respond to two 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 research question. Why or why not?
As a lay reader, were you able to understand the results and their implications? Why or why not?

Write a paper Evaluating Significance of Findings.

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.

Review the Learning Resources related to probability, sampling distributions, and confidence intervals.

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.
For additional support, review the Skill Builder: Confidence Intervals and the Skill Builder: Sampling Distributions, 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 (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. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES.

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.