Lai and Lam (2010) compiled data from various stakeholders concerning various key performance areas in the construction industry in Hong Kong. They then analyzed the data to come up with a standard for performance-driven criteria t. The authors used ANOVA o analyze the data assembled into nine relative importance of performance in the construction industry. The paper leverages the most significant participants, which are clients and the consultants or contractors. The authors then gathered and evaluated the input to help create empirical performance in areas such as time, profit, job satisfaction, contractual disputes, worker safety, effects on the environment, generation of new and innovative ideas, quality of the completed work, and effectiveness in accomplishing the assigned task.
The researchers collected and evaluated three hundred and twenty-four research samples. They got these samples from public and private sectors, consultants, developers, clients, and main contractors. In essence, the research established that the greatest differences are evident in time, safety, quality, environment, profit, job satisfaction, effectiveness, lack of claims or contractual differences, and generation of new and innovative ideas, in that order. The article’s interesting findings manifest in the Hong Kong construction industry. It shows that there are significant differences between private and government projects, especially with respect to the relationship with contractors and business procurement procedures. The study amalgamates the applicable data from the two sectors in its conclusion. The study shows the underlying differences between private and public approach to construction of projects. It is relevant and objective, which makes it an ideal source for academic research. The authors’ approach to the research and analysis of data is significant because they use primary data, which is devoid of bias.
Kozub, R. M. (2010). An ANOVA Analysis of the Relationships between Business Students’ Learning Styles and Effectiveness of Web Based Instruction. American Journal of Business Education, 3(3), 89-98
Kozub (2010) carried out this study to investigate the likely effect of learning styles on the performance of student in a web-based instruction environment. The researcher used students taking a Taxes and Personal Finance course. The research used Kolb’s Learning Styles Inventory to assign students to the two-learning styles. The learners were randomly designated to either of the two web-based instruction methods. The only overriding differences were the number of enhancements and interaction options available to the user. The researcher then measured the success rates of the two-teaching modules using an online test over the materials the modules