Overview
Need to write a research proposal Quantitative Methods for Acct.Research Project Instructions
Objective: The goal of this research project is to apply quantitative methods learned in this course to a real-world business, economics, or policy question. You will collect and analyze data, apply appropriate statistical and econometric techniques, and present your findings in both a written report and an oral presentation. Project Components: 1. Research Proposal o Identify a research question that interests you. o Clearly state your hypothesis. o Describe the data you plan to use (source, type, sample size). o Outline the methods you will apply (regression analysis, hypothesis testing, time series modeling, etc.). 2. Data Collection & Cleaning o Obtain and clean your dataset. o Provide summary statistics and exploratory data analysis. o Identify and handle missing data, outliers, or other potential issues. 3. Methodology & Analysis o Choose an appropriate statistical technique (e.g., regression, machine learning, causal inference). o Justify why this method is appropriate for your research question. o Implement the analysis using R (code must be submitted). 4. Results & Interpretation o Present tables, graphs, and key findings. o Explain the economic or business implications of your results. o Discuss limitations and potential biases. 5. Final Paper o Length: 12 pages, double-spaced, with standard margins. o Format: APA citation style. o Include sections: Introduction, Literature Review, Data & Methods, Results, Discussion, Conclusion. 6. Presentation o 10-minute oral presentation. o Use slides with clear visuals and key findings. o Engage with the audience and be prepared for questions. Evaluation Criteria (25% of Final Grade) • Clarity of Research Question (15%) • Data Collection & Cleaning (10%) • Correct Application of Methods (25%) • Interpretation of Results (20%) • Writing Quality & Organization (10%) • Presentation Delivery & Engagement (20%)
Suggested Research Areas
Business & Economics: • The impact of interest rate changes on small business growth. • The relationship between minimum wage increases and employment. • Forecasting stock market volatility using time series models. • The effect of inflation on consumer spending habits. Public Policy & Social Issues: • The effect of government stimulus packages on economic recovery. • Analyzing the impact of tax incentives on renewable energy adoption. • The role of education levels in income inequality. • The impact of healthcare access on labor market outcomes. Industry-Specific Analyses: • The impact of customer reviews on sales in e-commerce. • Pricing strategies and demand elasticity in the airline industry. • Data-driven approaches to predicting real estate prices. • The effect of brand loyalty programs on consumer retention. • Alternatively, you can use any of the datasets which are already provided with your textbook and form a research question.