QSO 510 Milestone Two Data Collection Rubric Overview
Qso 510 Milestone Two Collection Of Data Rubricoverviewthe Final Proj
The final project for this course is the creation of a research paper. You will select a specific problem you see in the workplace (or, if you have limited work experience, that you would find it valuable to solve in your home life), and then identify what you wish to study. You must apply the theories and concepts from the course to interpret and formulate your hypotheses. Be sure to identify why the answer/solution matters. Once you have your hypotheses, go through the scientific method and statistical process to sample and answer the question.
Be sure that you justify the statistical test that you use and either reject or fail to reject the null hypothesis based on the data. Your conclusion should be entirely data driven, with the implications clear. In this milestone, you will gather, introduce, and present your raw data. Prompt In a well-organized Excel spreadsheet, you will present the raw data collected for your research paper. Along with the spreadsheet, you will include a one-page introduction that details what is being presented.
The feedback provided by the instructor should be applied to your final research paper. Format : The written introduction should follow these formatting guidelines: one-page Word format, double-spaced, 12-point Times New Roman font, 1-inch margins, and citations in APA format (if warranted). Data should be presented in an Excel spreadsheet, 12-point Times New Roman font. Instructor Feedback : Students can find their feedback in the Grade Center or Turnitin.
Paper For Above instruction
The process of collecting data for a research project is a fundamental step that determines the validity and reliability of the subsequent analysis. In the context of this final milestone of the project, the focus is on gathering raw data that directly supports the formulated hypotheses and research questions. Careful selection and thorough research are necessary to ensure that the data collected is relevant, representative, and capable of addressing the research objectives effectively. The integrity of data collection involves methods such as surveys, experiments, or observational techniques, tailored to the specific problem investigated. For instance, if examining workplace satisfaction, data might include employee surveys distributed across different departments, ensuring diversity and accuracy in responses. Proper documentation of the data collection process, including the sampling method and the sources, is essential for subsequent analysis (Creswell, 2014).
The introduction accompanying the data should be comprehensive yet concise, providing clarity on what the raw data entails and how it relates to the research problem. This one-page introduction introduces the scope of the data, explaining the variables recorded, the sample size, and the rationale behind the selected data points. It also underscores the importance of the data in answering the research questions, highlighting its relevance and potential to inform decision-making. For example, if the data set includes employee engagement scores, participation rates, and demographic information, the introduction would clarify how these variables contribute to understanding employee satisfaction and organizational effectiveness (Babbie, 2013). Presenting the data in a well-structured Excel spreadsheet ensures ease of analysis, enabling clear visualization and manipulation of the raw information.
Adhering to APA formatting guidelines and professional presentation standards enhances the credibility of the research. Citations of sources, whether theoretical frameworks or methodological references, lend authority to the research process. The clarity of the data presentation and the quality of the accompanying introduction are critical for the subsequent steps of hypothesis testing, statistical analysis, and drawing valid conclusions. This foundational work sets the stage for a data-driven exploration that can yield insightful and actionable results, ultimately contributing to the solution of the initial problem identified in the research project.
References
- Babbie, E. (2013). The Practice of Social Research (13th ed.). Cengage Learning.
- Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications.