Hi. There are three papers. Paper One and Two are due in 48 hours. Paper three is due in 72 hours. But as soon as you can get them to me would be great so I can finalize and turn them in. Thank you for your help! And I will be tipping beyond the bid! You’ve been wonderful!!

APA 7th edition. No plagiarism please. Please make sure you answer every prompt. She is thorough.

THE TEXT WE ARE USING IS: Sukal, M. (2013). Research methods: Applying statistics in research. San Diego, CA: Bridgepoint Education, Inc. Let me know if you need access or anything.

Each paper needs 3-5 resources. The topics are the same. Forgiveness and measuring it scientifically. Note that paper 3 is the final for this class and is requesting a model be built. Let me know if you need more explanation for that. Papers One and Two should have 8 paragraphs each but the last might need a couple more.

PAPER ONE:

Complex ANOVA, ANCOVA, Or MANOVA Proposal

This written assignment is based on the work conducted in the “Complex ANOVA, ANCOVA, or MANOVA” discussion forum. Based on this initial work, feedback received, and additional research, students should submit a basic research proposal that calls for the use of a complex ANOVA, ANCOVA, or MANOVA.

The paper should be APA formatted as a research proposal, and contain approximately 990-1320 words of content. Include a title page, and a reference page that includes any resources utilized.

Please include the following in the research proposal:

1. Introduction (1-2 paragraphs)

• Present the research question of interest.
• Explain how the chosen statistical test applies to this research question.
• Provide the statistical notation and written explanations for the null and alternative hypotheses.

2. Methods (1 paragraph)

• Participants
• List how many participants will be selected.
• Identify who will be the participants and their major demographic characteristics (e.g., sex, age, etc.).
• Explain how participants will be selected for the study.

3. Procedures (1-2 paragraphs)

• Identify the variables in the study.
• Describe each variable’s scale of measurement (nominal, ordinal, interval, or ratio) and characteristics (i.e., discrete vs. continuous, qualitative vs. categorical, etc.).
• Provide an operational definition for each variable, explaining how the variables will be measured.

4. Results (2-3 paragraphs)

• Describe the statistical test that will be conducted. Be sure to include why the test was chosen and why it is appropriate for this study. Include in the discussion the necessary assumptions that should be met for the chosen test and how these will be addressed.
• Identify the information that will be obtained from the results of this test and what will be needed to draw conclusions regarding the hypotheses. Be sure to include a discussion of applicable critical and calculated values, p levels, confidence intervals, effect sizes, post-hoc tests, and/or tables.

5. Discussion (1 paragraph)

• Identify any expected biases, assumptions, or faults with the proposed study and the use of the identified statistical test.
• Explain what conclusions can and cannot be made for this study, and using this statistical test.
• Describe the practical significance or importance of the results.

PAPER TWO:

Simple Linear, Multiple, Or Logistic Correlation/Regression Proposal

This written assignment is based on the work conducted in the “Correlation and Regression” discussion forum. Based on this initial work, feedback received, and additional research, students should submit a basic research proposal that calls for the use of a simple linear, multiple, or logistic correlation/regression.

The paper should be APA formatted as a research proposal, and contain approximately 990-1320 words of content. Include a title page, and a reference page that includes any resources utilized.

Please include the following in the research proposal:

1. Introduction (1-2 paragraphs)

• Present the research question of interest.
• Explain how the chosen statistical test applies to this research question.
• Provide the statistical notation and written explanations for the null and alternative hypotheses.

2. Methods (1 paragraph)

• Participants
• List how many participants will be selected.
• Identify who will be the participants and their major demographic characteristics (e.g., sex, age, etc.).
• Explain how participants will be selected for the study.

3. Procedures (1-2 paragraphs)

• Identify the variables in the study.
• Describe each variable’s scale of measurement (nominal, ordinal, interval, or ratio) and characteristics (i.e., discrete vs. continuous, qualitative vs. categorical, etc.).
• Provide an operational definition for each variable, explaining how the variables will be measured.

4. Results (2-3 paragraphs)

• Describe the statistical test that will be conducted. Be sure to include why the test was chosen and why it is appropriate for this study. Include in the discussion the necessary assumptions that should be met for the chosen test and how these will be addressed.
• Identify the information that will be obtained from the results of this test and what will be needed to draw conclusions regarding the hypotheses. Be sure to include a discussion of applicable critical and calculated values, p levels, confidence intervals, effect sizes, post-hoc tests, and/or tables.

Discussion (1 paragraph)

• Identify any expected biases, assumptions, or faults with the proposed study and the use of the identified statistical test.
• Explain what conclusions can and cannot be made for this study, and using this statistical test.
• Describe the practical significance or importance of the results.

PAPER THREE:

Statistical Decisions Model

It is clear from the material in this course that inferential statistics plays a critical role in research in the behavioral and social sciences. Since students in this class will further their education via coursework and research conducted via the practicum and dissertation processes, it is important to reflect on the knowledge gained and its applicability to one’s future in the field. Utilizing all that you have learned and been exposed to in this course, write a paper providing an overview of your knowledge of inferential statistics, specifically discussing how you would go about deciding upon the appropriate statistical tests to use for a study.

Paper should be a minimum of 1320-1650 words long (excluding title and references pages) and include a title page, introduction, conclusion, and references page. APA formatting should be used for the paper. Utilize at least two resources for this paper, which should be cited accordingly.

Include the following in your paper:

1. Create and present a decision tree, outline, or other model that includes a series of questions to help someone decide what statistical test is appropriate for a study. Consider the number, type, and scale of measurement of the variables, as well as what you may want to know about the variables (e.g., relationship, difference, etc.). This may be presented as a chart, table, mindmap, or other visual representation, or simply formatted as an outline.

2. Explain the steps involved in the model and how you created this model for making statistical decisions. What were the easiest and most difficult parts of this process?

3. Describe two different studies of interest to you. (Note: Neither study should be one focused on in any of the assignments during the course.) Include the following in the description:

• Research Question – List the research question for each study.
• Hypotheses – List the statistical notation and written explanations for the null and alternative hypotheses for each study.
• Variables – Identify the variables and each of their attributes: discrete or continuous, quantitative or categorical, scale of measurement (nominal, ordinal, interval, or ratio), and independent or dependent.

4. Demonstrate how you would utilize the statistical decisions model you created to choose the appropriate, specific test(s) for each study. What is your conclusion using this model? Did the model lead you to the correct test(s)? If not, how do you know and what changes might need to be made to the model?

• Why might a statistical decisions model be useful in statistics and research methods? What are its limitations?
• What did you learn or gain from creating this model and applying it to the study of interest? How might you use this model in the future?