Understanding Business Research Terms and Concepts Part Two

Understanding Business research terms and concepts Part two

Anne Risley

RES 351

1/19/2015

Linda Florence

Understanding Business research terms and concepts Part two

As part of the current assignment two articles were taken from the university library, condensed, and explained here. Then, this paper will go into the three research methods that were chosen to compare and contrast.

In article one the problem statement reads: In the construction industry, success of building projects greatly depends on the client's performance. The performance of clients is crucial since decisions made will influence the overall project performance. Typically, clients are represented by managerial and technical representatives during the design process. They play major roles in conveying required information to the design team regarding their future project. The quality of clients' representatives has potential influence on design team performance. In designing green buildings client's attributes are critical factors to high performance of building projects. The propose of this study to identify current performance level of clients of building projects and establish key clients' attributes influencing green design performance. A questionnaire survey was conducted to collect dada required. A sample of 274 respondents has been covered under the study, including architects and engineers practicing design and consultancy building sectors. Descriptive analysis data includes quantitative and qualitative.  (Elforgani, M. S, 2012).

The second article discusses variable selection in regression - identifying the best subset among many variables to include in a model - is arguably the hardest part of model building. Many variable selection methods exist. Many statisticians know them, but few know they produce poorly performing models. Some variable selection methods are a miscarriage of statistics because they are developed by, in effect, debasing sound statistical theory. (Ratner, B. 2010)

Quantitative studies have the advantage as they are cheaper to implement, are standard so comparisons can be easily made and the size of the effect can usually be measured. Quantitative studies are limited in their ability for the investigation and explanation of similarities and unexpected differences. It is important to note that for peer-based programs quantitative data collection often prove to be difficult to implement for agencies because they lack the funding needed for complete execution of surveys. Commonly experienced factors are frequently low participation and lack of follow up rates. (Hawe, P,1990)