Please complete the following underlined based on this dissertation topic (Importance of emotional intelligence, communication, and cognitive skills in marriage using a Quantitative, nonexperimental, correlational study) and provide in-text citations for each section along with a list of references at the end.

• Data Collection Process:
  • Explain each procedure involved in the collection of data to answer the questions.
    • Include each interaction with or condition presented to participants from the point of informed consent until the end of their involvement in the project. If your proposed methodology includes data collection before or without informed consent, explain each step from the beginning of data collection to the end. If your project includes a presentation of conditions or variables to participants, explain what those conditions or variables will include. Justify all data collection procedures by explaining how they align with the questions, methodology, and measures as previously described.
  • Describe in detail the proposed systematic procedures to carry out all major steps in the data collection for the project. For certain dissertations, this includes descriptions of baseline and intervention conditions. Explain and justify the project technique and methodological approach to align with the project question(s) and hypotheses (independent and dependent variables). Explain and rationalize the proposed population, sampling frame, and sample size (i.e., use of sampling software; G*Power) Provide boundaries (inclusion & exclusion) criteria of the participants. Describe the proposed setting in the context of the project. Formulate, describe, explain in detail, and justify the proposed data collection process including measurement scales of the instrument(s) and variables (independent and dependent variable(s) (i.e., levels of measurement). Detail information on how instrument(s) or measures will be administrated. Who will administrate the instrument(s) or observe and collect the data? Describe the protocol for administrating the instrument(s) or other measures. Explain and justify the proposed data collection process, how the raw data will be collected, techniques for evaluating the data and identify and fully explain the software provider and version if applicable.
  • A brief hypothetical example: The sample size for this quantitative, correlational project is 78. Using the G*Power sample size calculator with the settings of (a) bivariate correlational testing (b) power test value of 0.80, (c) effect size of 0.30, and (d) alpha value of 0.05, the output is a statistically significant sample size of 78. Mark (2020) noted that researchers sending surveys to participants should expect no more than a 20% response rate. The plan to account for attrition is to send out 390 surveys to potential participants. A 20% response rate would result in 78 participants, meeting the minimum sample size for this proposed project. The data collection plan for the project is to send through U.S. mail the ABC survey and the XYZ survey to 390 employees who meet the participant inclusion criteria. The licensing agreements for the ABC survey and the XZY survey are located in the Appendix. Both surveys have been deemed valid and reliable by Mickey (2010), Sally (2012), and Tom (2014). The data collection process is as follows: Each potential participant receives a personalized invitation to participate letter. Each potential participant receives an informed consent form Each potential participant receives a print copy of the ABC survey and the XYZ survey, with completion instructions. Each potential participant receives an addressed, stamped envelope to return the completed surveys and a signed copy of the informed consent form. The initial data collection period is 20 days from the mailing of the surveys. If at least 78 people return fully completed surveys within 20 days, data collection will cease. If 78 people have not returned fully completed surveys, the period will extend in 10-day increments until reaching the minimum sample for the project.
• Ethical Considerations:
  • Discuss ethical considerations addressing privacy, confidentiality, and data security based on the current plan. Potential ethical issues may arise based on the decisions you have made so far regarding participants, measures, sampling, and data collection procedures. Be sure to include any of these potential issues as needed. At a minimum, address privacy, confidentiality, and data security. Align ethical considerations with federal regulations, Capella University policies, and ethical research practices at Capella, along with any ethical codes or considerations specific to your field of study.
  • Describe each potential ethical issue, including the specific risks that may arise.
  • Explain how you will mitigate or prevent those risks from occurring.
  • If risk prevention or mitigation is not possible, justify why the project should occur and what can be done to resolve any problems that may arise.

As you develop for this section, consider the following concepts: Obtaining Capella University IRB approval. Adhering to The Belmont Report protocols of respect for persons, beneficence, and justice. Obtaining informed consent from participants, if applicable. Ensuring the participants understand the potential risks and benefits of participating in the project. Ensuring the privacy and confidentiality of participants. Explaining participants' right to withdraw as well as withdrawal procedures. Mitigation of conflicts of interest if applicable. Avoiding the use of excessive participant incentives.

A brief hypothetical example: Data collection for a qualitative project involves gathering data through conversations with people about their professional roles; therefore, utmost care to maintain the highest ethical standard exists (citation). This capstone project involves semi-structured interviews with participants. Before contacting any potential participant or collecting data, I will obtain approval to proceed with recruitment and data collection from the Capella University IRB. To ensure privacy and confidentiality, no information will be shared regarding the personally identifiable information of participants, nor will their feedback be shared in a way the participants could be identified. Each participant will receive a unique identifier consisting of P1-P12. Privacy and confidentiality are two of the most important considerations with using human participants (citation). Participants can withdraw from this project at any time for any reason or no reason up to the point of the project's final approval. The use of incentives to entice participation can be considered undue coercion and result in flawed data (citation). Participation in this project is voluntary as no incentives will be offered to participants. The three basic ethical principles published in The Belmont Report are respect for persons, beneficence, and justice (citation). To maintain these principles, minimization of risks to participants occurs through maintaining confidentiality, no coercion to participants takes place, and all data collected will be secured in a locked file in my home office for 7 years. After 7 years, all print copy data will be shredded, and electronic files stored on a flash drive will be deleted and the flash drive destroyed. Resources: Informed Consent Conflict of Interest Data Collection and Compliance

• Data Analysis Plan:
  • Describe a plan to analyze and present the data that will be collected so that questions are answered. As appropriate for the type of data and methodology, address data processing (coding, converting, statistical analysis) and data display (such as tables, graphs, or figures). Explain how each choice aligns with the methodology, data sources, and sample size that you are proposing.

Describes a plan for the analysis and presentation of the data to be collected for the question(s). The data analysis plan is a logical step-by-step process to organize, process, analyze, and interpret the data, followed by the plan to present the analyzed data. Explain how you will analyze the data using the recipe card approach (i.e., list the steps in the proper order). Ensure your data analysis plan is appropriate in consideration of the data collection technique and plan. For each research question, provide a description of the techniques to be used for data processing and analysis (such as coding, classification, categorization, tabulation, %, graphing, and statistical techniques, etc.). Define your approach for how you will present the final deliverable, which includes outcomes, findings, and recommendations to your appropriate target audience or site, and describe what that deliverable will be - a report, a training, a resource guide, etc. Specify who that target audience (or site) will be. The information must be contextualized to the project question(s) and the nature of the data collected to show that you understand how to apply the procedures to your project. Explain how you propose to mitigate personal biases, remain objective during data analysis, and set aside personal worldviews.

State the purpose statement and project question(s) and hypotheses (independent and dependent variables) Explain your plan to analyze the participant demographics using a table, justifying the sample size, discussing potential sampling outcomes, and emergent limitation of the data you propose to collect. Describe how you will use descriptive statistics to describe the measure of central tendency (mean, median, and mode), range, variance, and standard deviation. Explain how you plan to analyze, evaluate, and critique the results of the descriptive statistics. How will you report the results in detail using appropriate tables and/or figures for categorical or continuous variables? Describe your plan to analyze and verify data that are normally distributed using parametric or nonparametric statistical tests and figures. Describe the proposed plan to test and assess hypotheses and report the analysis and assumptions of the statistical results and findings in detail using appropriate tables and/or figures. Describe how you propose to present the results, justify the key findings, and report how the findings answer the project question(s). If conducting research using a single-subject design, statistics are not required. Instead, describe how you will display data and the conventions of visual analysis that will be used to analyze the data. Include how standards will be applied to improve internal validity.