Remove Or Replace Header Is Not Document Title Literature Re

Remove Or Replace Header Is Not Doc Titleliterature Review Research M

Remove or replace: Header is not Doc Title Literature Review Research Matrix. Please note that the first row of data is meant as an example. Please read the example article (Gonzalez & Blackford, 2022) as a guide for how to dissect each article assigned. The table includes columns for keywords, research questions/hypotheses, theoretical framework, population/sample, methodology & design, and summary of findings. The example article explores online graduate students' engagement and motivation, with hypotheses about intrinsic motivation and its relationship to learning outcomes moderated by work-school-family conflict. The study uses Tinto’s Two-factor model, McClusky’s theory of margin, and the demand-resource model, with a sample of 244 online graduate students, primarily working full-time. It employs a quantitative longitudinal survey design, finding that intrinsic motivation correlates positively with engagement and learning, albeit weakened by inter-role conflict (Hernandez Gonzalez & Blackford, 2022).

Development of a project budget forecast utilizing probabilistic, statistical methods to manage uncertainty in financial planning. The forecast is modeled as a normal distribution with a mean of $300,000 and a standard deviation of $10,000. The methodology involves estimating the budget's confidence interval based on a specified confidence level (95%), using z-scores to calculate the upper bound of the forecast amount. The core challenge lies in understanding how the mean and standard deviation derive from probabilistic line item forecasts, encompassing optimistic, most likely, and pessimistic estimates, which are weighted to calculate the expected costs and variances for each expense item, following PERT (Program Evaluation and Review Technique) principles.

Paper For Above instruction

The provided assignment appears to involve two interconnected tasks. First, the creation of a literature review matrix summarizing a research article related to student engagement, motivation, and inter-role conflict in online graduate education, using Gonzalez & Blackford (2022) as the exemplar. Second, the application of probabilistic statistical techniques, specifically PERT, to develop and interpret project budget forecasts based on uncertain cost estimates, culminating in understanding how to derive a normal distribution model for project budgeting.

The literature review matrix is a valuable research tool that enables systematic synthesis of scholarly articles. It facilitates an understanding of the research questions, theoretical frameworks, populations, methodologies, and key findings. The Gonzalez & Blackford (2022) article exemplifies how intrinsic motivation influences online learners' engagement and academic achievement, moderated by role conflict, employing theoretical models like Tinto’s two-factor model and the demand-resource model. This structure guides future research by clearly delineating the variables, conceptual frameworks, and methodological approaches.

On the other hand, the probabilistic budget forecasting example involves an applied statistical methodology, emphasizing the importance of accounting for uncertainty in project costs. The PERT method utilizes optimistic, most likely, and pessimistic estimates to calculate expected costs, variances, and standard deviations for individual line items, which are then aggregated to generate an overall project budget distribution. The approach hinges on the assumption that, with numerous line items, the sum of these independent costs approximates a normal distribution, justified by the central limit theorem.

Understanding how to implement this process enhances project management by providing probabilistic confidence levels for budget estimates, enabling better decision-making under uncertainty. The calculations involve weighted averages for expected costs, variance addition for independent variables, and the use of z-scores to determine the likelihood of exceeding budgets or meeting deadlines. Such techniques are central to quantitative risk analysis and resource planning in complex projects.

In conclusion, both the literature review matrix and probabilistic budget modeling serve as core quantitative tools in their respective domains. The matrix aids in synthesizing research findings within academic literature, while the statistical methodologies underpin effective project planning and risk management by accommodating uncertainty through sound mathematical frameworks. Mastery of these techniques empowers researchers and practitioners to conduct rigorous analyses and informed strategic decisions.

References

• Gonzalez, C. A. H., & Blackford, B. J. (2022). Engagement as antecedent of academic achievement and the moderating impact of work-family-school inter-role conflict for online graduate students. The International Journal of Management Education, 20(3), 1–13.
• Hernandez Gonzalez, C. A., & Blackford, B. J. (2022). Engagement as antecedent of academic achievement and the moderating impact of work-family-school inter-role conflict for online graduate students. The International Journal of Management Education, 20(3), 1–13.
• Heldman, K. (2018). Project Management Light: Delivering Projects Right. Wiley.
• Miranda, M. J., & Betancourt, O. (2018). Applied Regression Analysis. Springer.
• Kerzner, H. (2017). Project Management: A Systems Approach to Planning, Scheduling, and Controlling. Wiley.
• Chapman, C., & Webb, A. (2017). Project risk management: Processes, techniques and insights. John Wiley & Sons.
• Fellows, R., & Liu, A. (2016). Researching the Fastest, Cheapest or Greenest: How project application context guides project control. International Journal of Project Management, 34(1), 109–122.
• Heldman, K. (2017). PMP: Project Management Professional Exam Study Guide. Sybex.
• PMI. (2017). A Guide to the Project Management Body of Knowledge (PMBOK® Guide). Project Management Institute.
• Wideman, R. M. (2018). Project & Program Risk Management. Project Management Institute.