<p> **Table of Contents:**<br><br>**

Chapter 1

: Introduction**<br>- Background and rationale for the study<br>- Statement of the problem<br>- Research objectives<br>- Scope and limitations<br>- Overview of the structure of the thesis<br><br>**

Chapter 2

: Literature Review**<br>- Conceptual framework of property valuation<br>- Traditional valuation methods (e.g., market comparison, income capitalization, cost approach)<br>- Emerging trends in property valuation (e.g., automated valuation models, machine learning techniques)<br>- Challenges and issues in property valuation<br>- Critical analysis of existing literature on property valuation effectiveness<br><br>**

Chapter 3

: Methodology**<br>- Research design and approach<br>- Data collection methods (e.g., primary data collection through surveys or interviews, secondary data analysis)<br>- Sampling strategy<br>- Data analysis techniques (e.g., quantitative analysis, qualitative analysis)<br>- Ethical considerations<br><br>**

Chapter 4

: Findings and Analysis**<br>- Overview of the findings from the evaluation of property valuation methods<br>- Comparison of different valuation techniques<br>- Identification of strengths and weaknesses of each method<br>- Analysis of factors influencing valuation accuracy<br>- Discussion of implications for estate management practices<br><br>**

Chapter 5

: Recommendations and Conclusion**<br>- Recommendations for improving property valuation practices<br>- Strategies for enhancing valuation accuracy and reliability<br>- Implications for real estate professionals and policymakers<br>- Conclusion: Summary of key findings, contributions, and avenues for future research<br><br></p>