ABSTRACT
Deployment of appropriate skills and competencies is crucial and germane to the development and continuous relevance of any profession. In the built environment, the art of selecting the required skills and competencies expected of quantity surveyors and understanding the inherent dependencies between them remains a research issue. The purpose of this study was to analyze the comparative relevance of HND and B.Sc training to core quantity surveying practices of quantity surveyors. A structured questionnaire was administered among quantity surveyors, architects, engineers, builders and clients in Nigeria. The respondents were asked to give rating, on a 5 point Likert scale, on usual skills and competencies required of quantity surveyors. A secondary objective of the study was to examine the important skills and competencies and categorized them into core skill, basic skill, core competence, optional competence and special competence. The data was presented and analyzed using simple percentage and some findings also were discussed. The research was concluded and summary of the findings were discussed. It was recommended among others that the academic staff of the polytechnics should include more of Ph. D. and professors. Also, research-based courses such as medicine, pharmacy, etc should be introduced into the polytechnic academic environment. In addition it was recommended that seminars, workshops and refreshers courses should be arranged for the polytechnic academic staff so as to improve their professional knowledge and pedagogical techniques in training to core quantity surveying practices in Nigeria.
TABLE OF CONTENT
CHAPTER ONE
1.0 Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Significance of the Study
1.4 Purpose of the Study
1.5 Research Questions
1.6 Limitations
1.7 Definition of Terms
CHAPTER TWO
2.1 Literature Review
CHAPTER THREE
3.0 Research Methodology
3.1 Introduction
3.2 Design of the Study
3.3 Population of the Study
3.4 Sample and Sampling technique
3.5 Description of Instruments
3.6 Instrument for Data Collection
3.7 Method of Data Analysis
3.7.1 Model Specification
3.8 Decision Rule
CHAPTER FOUR
4.0 Data Analysis
4.1 Introduction
CHAPTER FIVE
5.0 Summary, Conclusion and Recommendations
5.1 Introduction
5.2 Re-statement of the Problem
5.3 Summary of Findings
5.4 Conclusion
5.5 Recommendation
REFERENCES
