The following assignment # 2 is attached below along with the tables and two additionally articles that are to be used in the assignment. There must be other articles as well.
Bible content must be included and the Bible reference is also on the instruction sheet. Please read the instructions well and include the attached tables and questions in the assignment.
DUE DATE: By 10am on Friday, June 10, 2022.  NO LATE WORK!!!!

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The following assignment # 2 is attached below along with the tables and two additionally articles that are to be used in the assignment. There must
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Quantitative Analysis Report: Mean Differences Assignment Instructions

DUE DATE: by 10am on Friday June 10, 2022. NO LATE WORK!

MUST INCLUDE BIBLE PERSPECTIVES
Assignment #3
Overview
You will take part in several data analysis assignments in which you will develop a report using tables and figures from the IBM SPSS® output file of your results. Using the resources and readings provided, you will interpret these results and test the hypotheses and writeup these interpretations.
Instructions
· Copy and paste all tables and figures into a Word document and format the results in APA current edition.
· Interpret your results.
· Final report should be formatted using APA current edition, and in a Word document.
· 4-5 double-spaced pages of content in length (not counting the title page or references).
The Quantitative Analysis Report: Mean Differences Assignment has three parts and uses the Florida County Government. sav dataset. Load the data set into SPSS.

1. Address the following research question using an independent samples t-test:
RQ 3: Is there a significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties?
· H03: There is no statistically significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties.
· Ha3: There is a statistically significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties.

1. Open the data file Florida County Government. sav.
2. Perform an error bar plot first.
3. Click on Graphs/Legacy Dialogs/Error Bar.
4. Click on Simple button and then radio button “summaries for groups of cases” then click on Define.
5. Move to Variable box on the right the dependent variable Average % Envir. Spending in Total spending (AverageEnvirTotal).
6. Move Coastal Area or Not to Category Axis box. This is the independent groups variable. There are two groups: coastal county=1 and not coastal county=0.
7. Click OK.
8. Edit the error bar plot by adding data labels and title.
9. Follow directions in Cronk and in the resources provided. What do you think from that plot you would expect to find in an independent samples t-test?
10. Now, perform an independent t samples t-test with:
· coastal (1)/non-coastal county (0) as your independent variable groups and;
· Average % Envir. Spending in Total spending (AverageEnvirTotal) as your dependent variable.
11. Use Cronk and resources provided to interpret the results of the Levene’s test of assumed equal variances and then interpret the t-test results and report based on the testing of your hypotheses.

2. Address the following research question using a One-Way ANOVA test:
RQ 4: Is there a significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural)?
· H04: There is no statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).
· Ha4: There is a statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).

1. Open the data file Florida County Government. sav.
2. Perform an error bar plot first.
3. Move to Variable box on the right the dependent variable intergovernmental revenue growth rate (IGR).
4. Move county type (metro/suburban/rural) to Category Axis box. This is the independent groups variable. There are three groups.
5. Click OK.
6. Edit the error bar plot by adding data labels and title. Follow directions in Cronk and in the resources provided. What do you think from that plot you would expect to find in a One-Way ANOVA test?
7. Now, perform a One-Way ANOVA test with:
· County type as your independent variable groups and;
· Intergovernmental revenue growth rate (IGR Growth rate) as your dependent variable.
8. Run post-hoc tests as well.
9. Use Cronk and resources provided to interpret the results of the Levene’s test of assumed equal variances, interpret the One-Way ANOVA results, interpret the results of post-hoc tests, and produce a report based on the testing of your hypotheses.

3. Add a covariate to your One-Way ANOVA and rerun as an ANCOVA. The new research question is:
RQ 5: Controlling for political orientation (political), is there a significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural)?
· H05: Controlling for political orientation (political), there is no statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/ suburban/rural).
· Ha5: Controlling for political orientation (political), there is a statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).

1. Perform an error bar plot first. What do you think from that plot you would expect to find in an ANCOVA test?
2. Then, perform an ANCOVA test with:
a. County type as your independent variable groups, political as your covariate, and;
b. Intergovernmental revenue growth rate (IGR Growth rate) as your dependent variable.
General Instructions
As doctoral students, your assignments are expected to follow the principles of high-quality scientific standards and promote knowledge and understanding in the field of public administration. You should apply a rigorous and critical assessment of a body of theory and empirical research, articulating what is known about the phenomenon and ways to advance research about the topic under review. Research syntheses should identify significant variables, a systematic and reproducible search strategy, and a clear framework for studies included in the larger analysis.
Manuscripts should not be written in first person (“I”). All material should be 12-point, Times New Roman type, double-spaced with margins of one inch.
All manuscripts should be clearly and concisely written, with technical material set off. Please do not use jargon, slang, idioms, colloquialisms, or bureaucratese. Use acronyms sparingly and spell them out the first time you use them. Please do not construct acronyms from phrases you repeat frequently in the text.
Structure of Assignment Paper
1. Use the following structure for your research article: Abstract, Introduction, Literature Review/Theory, Methods, Results, Discussion, and Conclusion. Include a robust discussion section distinct from your conclusion.

2. Give your article a Title that is both descriptive and inviting to prospective readers. Your article title should appeal to both scholars and practitioners. Use a shortened version of the main idea of your article in the title.

3. Your Abstract should inform readers what your article is about and its most important findings. Readers, including scholars and practitioners, should be able to understand your topic, argument, and conclusions. Make your abstract straightforward and do not use technical language or jargon.

4. In the Lit Review/Theory, cite only literature and theory pertinent to the specific issue and not those that are of only tangential or general significance. When summarizing earlier works, avoid nonessential details; instead, emphasize pertinent findings, relevant methodological issues, and major conclusions. Citation of relevant earlier literature is a sign of scholarly responsibility and it is critical for the growth of a doctoral student in public administration.

5. Methods: The Methods section “describes in detail how the study was conducted, including conceptual and operational definitions of the variables used in the study. Different types of studies will rely on different methodologies; however, a complete description of the methods used enables the reader to evaluate the appropriateness of your methods and the reliability and the validity of your results” (APA current edition). Include a description of your sample size and procedure, participants, how data collected, and research design.

6. Results include data analysis used, results of the analysis including tables and figures.

7. Discussion section includes interpretations from the analysis. How do your analyses relate to the results found by scholars in your lit review/theory section. In this section, evaluate and interpret their implications, especially with respect to your original hypotheses.

8. Provide a distinct Conclusion that tells readers what you found, why it is important, and what difference it will make for research and practice. Ensure you separate your discussion section from the conclusion of the article. Synthesize your article; do not summarize it. Show readers how the pieces of your article fit together. Answer the question “So what?” Why is your article significant, and how is it relevant?

Page 2 of 2

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MEAN DIFFERENCES ASSIGNMENT #3
Florida County Government

ASSIGNMENT #3

Title: Florida County Government

The Quantitative Analysis Report: Mean Differences Assignment has three parts and uses the Florida County Government. sav dataset. Load the data set into SPSS.

1. Address the following research question using an independent samples t-test:
RQ 3: Is there a significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties?
· H03: There is no statistically significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties.
· Ha3: There is a statistically significant difference in the percent of total spending that is environmental spending between coastal counties and non-coastal counties.

1. Open the data file Florida County Government. sav.
2. Perform an error bar plot first.
3. Click on Graphs/Legacy Dialogs/Error Bar.
4. Click on Simple button and then radio button “summaries for groups of cases” then click on Define.
5. Move to Variable box on the right the dependent variable Average % Envir. Spending in Total spending (AverageEnvirTotal).
6. Move Coastal Area or Not to Category Axis box. This is the independent groups variable. There are two groups: coastal county=1 and not coastal county=0.
7. Click OK.
8. Edit the error bar plot by adding data labels and title.
9. Follow directions in Cronk and in the resources provided. What do you think from that plot you would expect to find in an independent samples t-test?
10. Now, perform an independent t samples t-test with:
· coastal (1)/non-coastal county (0) as your independent variable groups and;
· Average % Envir. Spending in Total spending (AverageEnvirTotal) as your dependent variable.
11. Use Cronk and resources provided to interpret the results of the Levene’s test of assumed equal variances and then interpret the t-test results and report based on the testing of your hypotheses.

[DataSet6] /Users/pamelafarrar/Downloads/Florida County Government (1).sav

Error Bar Plot

Independent Samples t-test

Error Bar Plot

Levene’s Test

2. Address the following research question using a One-Way ANOVA test:
RQ 4: Is there a significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural)?
· H04: There is no statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).
· Ha4: There is a statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).

1. Open the data file Florida County Government. sav.
2. Perform an error bar plot first.
3. Move to Variable box on the right the dependent variable intergovernmental revenue growth rate (IGR).
4. Move county type (metro/suburban/rural) to Category Axis box. This is the independent groups variable. There are three groups.
5. Click OK.
6. Edit the error bar plot by adding data labels and title. Follow directions in Cronk and in the resources provided. What do you think from that plot you would expect to find in a One-Way ANOVA test?
7. Now, perform a One-Way ANOVA test with:
· County type as your independent variable groups and;
· Intergovernmental revenue growth rate (IGR Growth rate) as your dependent variable.
8. Run post-hoc tests as well.
9. Use Cronk and resources provided to interpret the results of the Levene’s test of assumed equal variances, interpret the One-Way ANOVA results, interpret the results of post-hoc tests, and produce a report based on the testing of your hypotheses.

Error Bar Plot

One-Way ANOVA test

Post Hoc Tests

Homogeneous Subsets

3. Add a covariate to your One-Way ANOVA and rerun as an ANCOVA. The new research question is:
RQ 5: Controlling for political orientation (political), is there a significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural)?
· H05: Controlling for political orientation (political), there is no statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/ suburban/rural).
· Ha5: Controlling for political orientation (political), there is a statistically significant difference in the intergovernmental revenue growth rate (IGR) based on county type (metro/suburban/rural).

1. Perform an error bar plot first. What do you think from that plot you would expect to find in an ANCOVA test?
2. Then, perform an ANCOVA test with:
a. County type as your independent variable groups, political as your covariate, and;
b. Intergovernmental revenue growth rate (IGR Growth rate) as your dependent variable.

Error Bar Plot

ANCOVA test
Univariate Analysis of Variance

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