Please complete the following based on this dissertation topic (Importance of emotional intelligence, communication, and cognitive skills in marriage.)

• Data Collection Process Provide a logical step-by-step data collection process as it aligns with the methodological approach. Suggested length 3-4 paragraphs. To prepare for data collection, you must have a keen understanding of the various steps and procedures as well as the order of the steps to be successful. Writing a proposed plan for data collection is a detailed process that requires you to think and write in recipe card mode. You must be aware of all the steps and have them in the correct order. The only way you can replicate another chef's recipe is to follow the exact process and procedures; hence, the objective here is for you to provide, describe, and explain the step-by-step procedures you propose to use to carry out all the major steps for data collection for the project in a way that would allow another researcher to replicate the research. Describe how raw data will be prepared for analysis and how the integrity of the data will be assured (i.e., recording and transcribing interviews, conducting transcript reviews, data export formats (if applicable), scoring process for survey instruments, etc.). Explain how you propose to mitigate personal biases, remain objective during data collection, and set aside personal worldviews. As you develop content, take into consideration the following information. Qualitative methodology / technique: State the proposed data collection and recording activities for each instrument. Explain how you plan to recruit participants. State the proposed location of the interviews (onsite; offsite; Zoom virtual face to-face, etc.). Denote who will be present for the interviews. State the proposed number of participants. How do you plan to confirm the credibility of your data collection instrument? (Note: A field tests a good way to do this.) Describe the materials you plan to provide to the participants (informed consent, recording devices, handouts, or others). Detail how you propose to introduce the interview process to the participants. Describe how will the interview transcripts and project findings will be shared with the participants (if at all). State the anticipated length of the interviews. Describe the proposed format and process for the interviews. Detail the demographic characteristics of the sample population with emphasis on characteristics having bearing on the results/findings. Describe the mechanism for collecting demographic information. Develop an interview guide/protocol for an appendix (List interview questions; illustrate how your interview questions map back to your project questions. Detail possible follow up probing questions to participants responses. Detail how you propose to close out the interview.) Justify how the literature helped to inform the creation of the interview questions. Identify concepts of the applied framework that guided the creation of the interview questions. Explain your plan to deal with variations or unusual participants or organizational conditions encountered in data collection. Explain how variations of conditions will be addressed. A brief hypothetical example: Data collection will consist of semi structured interviews with technology gaming companies' Gen Z employees. The interviews will take place using Zoom video conferencing, with the audio recording and transcription feature activated. Alice et al. (2020) noted that a best practice for conducting interviews was to use an internet-based video-conferencing platform in which the audio can be recorded and a transcript of the interview generated. The interviews will be scheduled at times that are convenient for the participants. No defined location for the interviews exists as they are being conducted in a virtual setting. The interview process will follow a preset interview guide. Each interview is expected to take approximately 45-60 minutes to complete, broken down as 5 minutes of initial welcome, greeting, and building rapport, 35-50 minutes of asking interview questions and receiving responses, and 5 minutes to close out the interview. Nathan et al. (2019) commented that interviewers should spend a few minutes building a good rapport with interviewees prior to starting a formal interview. A summary of the process is as follows: Schedule a time for each interview. Following the interview guide, welcome each participant and thank each for their time. Ask the preset interview questions and use the probing follow-up questions as needed to obtain additional clarity. Close the interview, again thanking the participant for their time Remind the participants that they will receive a copy of the transcript to review for accuracy. Download the audio recording and transcript. Review the transcript while listening to the audio recording and make any needed corrections to the transcript to match the audio recording. Deidentify the transcript, removing participant or company names. Email the transcript to the participant so they can verify the accuracy of the transcript. Assemble all 12 interview transcripts to prepare for data analysis. 36 Project Plan Guide PhD Programs Quantitative methodology / technique: 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 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. 37 Project Plan Guide PhD Programs 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 the 20 day period, 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 Identify potential ethical issues and provide a proposed plan to adhere to strict ethical standards. Include details regarding privacy, confidentiality, and data security procedures and concerns. Suggested length 1-2 paragraphs. Every doctoral researcher who conducts a project faces a variety of ethical considerations; therefore, the need exists to identify potential ethical concerns prior to recruiting participants and collecting data. Recognize the importance of having a plan to maintain strict ethical standards. Identify any ethical concerns in applying the project methodology, recruitment of participants, and collection of data. Explain in detail privacy, confidentiality, and data security procedures and concerns. Discuss the measures to be taken for protection of participants' rights. Begin now to review the Capella Institutional Review Board (IRB) requirements for your chosen methodological approach (or technique) and data collection procedures. 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. Prior to contacting any potential participant or collecting data, I will obtain approval to proceed to recruitment and data collection from the Capella University IRB. To ensure privacy and confidentiality, no information will be shared regarding the 38 Project Plan Guide PhD Programs 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 participant 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 Proposed Data Analysis Plan Articulate data analysis techniques appropriate to project framework. Present a plan to analyze and present data with techniques that are appropriate to the project, framework, data sources, and sample size. Suggested length 3-4 paragraphs. Key Scoring Guide Criteria Describes a plan for analysis and presentation of the data to be collected for the question(s). Written communication: Written communication is free of errors that detract from the overall message. Resources: Scholarly references including seminal research on the topic. Use primary sources. Include in the Reference section at the end of the paper. APA guidelines: Double-spaced paragraph formatting in the body of the paper. When appropriate, use APA-formatted headings. Resources and citations are formatted according to current APA style and format. See Evidence and APA for more information on APA style and format. Font and font size: Times New Roman, 12 point. 39 Project Plan Guide PhD Programs The data analysis plan is a logical step-by-step process to organize, process, analyze, and interpret the data, followed with 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. As you develop content, take into consideration the following information (as applicable to the selected project method). Qualitative methodology / technique: Describe the proposed procedures to identify relevant information from the data (thematic, theoretical; deductive and/or inductive coding). Note: Qualitative data analysis programs, such as Atlas.ti or NVivo can assist in the coding process. Describe the method you plan to use to classify the data from concepts into categories and solution of information. Discuss the proposed specific analysis approach and procedures to address the overarching project question(s). Describe your plan to address data analysis logically and sequentially for all project questions. Describe your plan to present data to support each finding in the form of tables or charts. Describe your plan to present of descriptive data, quotes from transcripts, and pertinent textual descriptions. Denote that your objective is to answer the project questions. A brief hypothetical example: Manual thematic analysis of the data begins after completing data collection. Thematic data analysis is the most commonly used technique to analyze qualitative data (citation). The process begins with developing deductive codes using the key concepts from the applied framework as the basis for the codes. Deductive coding is a process of developing codes (i.e., words/phrases) prior to analyzing the transcripts (citation). Each interview transcript will be coded using the deductive codes. After deductive coding, a second review of each transcript 40 Project Plan Guide PhD Programs takes place with the assignment of inductive codes to any key common words or phrases that did not fit within a deductive code category. Inductive coding is a process of assigning codes during the review of the interview transcripts (citation). After manually coding all the transcripts, a Microsoft Excel spreadsheet containing all the coded data including the frequency of codes, the assignment of codes to individual participants, and the total of all codes within each deductive and inductive code category. Upon completion of the spreadsheet, tables will be built consisting of frequency of codes, assignment of codes to individual participants, and overall code categories. The overall code categories table will be used to develop a key themes table consisting of the key themes that emerged from the code categories. Each key theme must align with the project question and at least, in part, provide an answer to the project question. Quantitative methodology / technique: State the purpose statement and project question(s) and hypotheses (independent and dependent variables) Explain your plan to analyze the participant demographics using 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 finding, and report out how the findings answer the project question(s). If conducting research using 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. A brief hypothetical example: This quantitative, correlational project consists of one independent variable (IV) and one dependent variable (DV); therefore, data analysis takes place using bivariate correlational testing. Statistical procedures within the Statistical Package for the Social Sciences software (SPSS) provides several methods to test 41 Project Plan Guide PhD Programs for the existence of a significant correlation between the IV and the DV. Relying on a single correlation test can result in Type I and Type II errors (citation). Pearson's Correlation Coefficient (Pearson) and Spearman's Rho Rank-Order (Spearman) correlation tests are appropriate bivariate correlation procedures to test the existence of a relationship among two variables (citation). Data collected was in the form of numeric data based on survey responses of participants consisting of marking a response on a 1-5 Likert scale. Such data could be considered interval data suitable for Pearson testing. However, the Likert scale was designed with ordinality (i.e., never, seldom, sometimes, frequently, always); therefore, Spearman is an appropriate statistical procedure as the basis of the numeric data was an ordinal scale. The proposed data analysis procedures for this project are to test the significance of the relationship between the IV and DV using Pearson and Spearman, and then comparing and reporting the results of both procedures. A p value of 0.05 or less indicates a significant correlation at the 95% confidence level of not committing a Type I error or rejecting a true null hypothesis at an alpha value of 0.05. The survey used to collect data will be analyzed using the scoring key provided by the survey developer. The resulting numeric data will be placed in a Microsoft Excel spreadsheet. The data will be imported to SPSS to begin the statistical procedures. After running Pearson and Spearman procedures, the output for each will be copied from SPSS and placed in a table in the project's findings section. A detailed explanation of the results will accompany the table.