DATA PRESENTATION AND ANALYSIS Introduction
In this Chapter, the researcher engages in the presentation, analysis and interpretation of data collected using questionnaire which were administered in line with the objective of the study. Data including gender, occupation, types of accommodation, and opinion of respondents on the risk management strategies of residential building projects in Lagos state are discussed. The data is collated in a bid to providing answers to the aforementioned research questions stated in chapter one, and to determine the risk management strategies which can be adopted in residential building projects which is the explicit aim of this research. The data was presented and analyzed using descriptive …show more content…
In total, fifty (50) questionnaires were administered to respondents out of which forty-five (45) representing 90% were retrieved and considered valid for data analysis, The distribution of selected contractors are expressed in Table 4.1 below.
Civil Engineers 14 14 100
Architects 6 6 100
Builders 30 25 83.3
Total 50 45 90.0
Source: Author’s Field Survey, 2015.
Table 4.1 shows the number of questionnaires distributed to and retrieved from the selected contractors. Copies of the questionnaire were distributed to some of the professionals who in full capacity are engaged in one form of construction project or the other. The reason for this was to get a direct feedback as pertaining to the accomplishment of the set objectives outlined in this research. At the end of the exercise, 25 out of 30 Civil engineers (representing 83.3%), 6 out of 6 Architects, and 14 out of 14 Builders filled and returned the questionnaire. In total, 90.0% of the total questionnaire distributed where retrieved and this was accomplished by the personal efforts of the researcher.
Respondent’s Sex Distribution
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The frequency count and percentage will be used to show the profile of the students in terms of gender, scholarship grant and previous mathematics performance. The composite reliability which measures internal consistency should be higher than 0.70. To determine the indicator reliability, the absolute standardized outer loadings should be higher than 0.70. The convergent validity which signifies that a set of indicators represent one and the same underlying constructs, should have an average variance extracted (AVE) higher than 0.50. The discriminant validity based on Fornell-Larcker Criterion, the AVE of each construct should be higher than the construct’s highest squared correlation with any other latent construct. CFA will test the extent to which the theoretical model, the five-factor model corresponding to the five factors of the MSEAQ, adequately represents the covariance
We are requested to assist the building with creating a method of construction cost data for client throughout the pre contract. The task of data collection is a difficult procedure and can be include to wide variations. Based upon our experience as quantity surveyors we chose to develop a cost data collection method. Our define construction line items and quantities for relativity building types.
In this chapter, I compare and contrast representations of gender and motherhood in two pop culture sites—the film The Kids Are All Right, the television series The Fosters. My intention is to examine representations of gender and motherhood and uncover these discourses affect lesbian parents and lesbians more broadly. The following sections divide into individual discussions of each cultural text to reveal the cogs within each site. I then compare and contrast both texts to investigate the tensions between both productions and how the discourses thematically collude. Finally, this comparative analysis considers who is harmed and who benefits from the disciplinary discourses of gender and motherhood these productions
As a consultant, Team A has analyzed and interpreted the second set of data. The intent is to increase senior management’s understanding of the sources of employee dissatisfaction and too create a model that predicts employee resignation. The process will be to combine the week two learning team assignment and week three findings with week five findings and make recommendations to BIMS by using the statistical tables given in the appendices of the textbook and a statistical analysis application.
Big Data is garnering great recognition for its data-driven decision making methodology. Right from data acquisition where there is a flood of data available, we need to make effective decisions about usage of data. Privacy, scalability, complexity and timeliness are the problems that hinder the progress of Big Data.
Throughout our observation week we were able to collect vast amount of data both from observations and interviews. In order to let our data speak to us and help us to understand how the collaborative work is conducted between ITB and Royal Danish Library we have adopted grounded theory method as a main data analysis practice to work with. This decision involved summarizing cons and pros of using this approach. According to Glaser, Barney G & Strauss (1967), using grounded theory involves development of theory rather by logical deduction then from experimental data itself. The publication of The Discovery of Grounded theory finds it relevant in practical applications and enable prediction and explanation of behavior. As our field setting is not often overflown with different actors we have decided to unlock behavioral patterns and get insight also on the profiles of employees. By this approach we have enriched our data, by being able to see connection between artifacts and articulation work, that draws an implication of artifacts in collaborative work. Moreover we have observed that each artifact might have different purpose of use as it is observed by different point of views from different subjects.The fact that we were able to actually observe appropriation in collaborative work, which can be described such as an assimilation of technology by group of people in completely different manner as designer firstly intended to, made us to logically distinguish between different
The roles of the Quantity Surveyor either for the clients or the contractors will be discussed on the next sub-topic. Generally, Quantity Surveyor is the professional expert in ensuring the budget or financial management or the needs of the client to be achieved based on what they planned in the early stage until the completion of the project. The Figure 2.1 below shows the typical construction model of organisation in the project. The profession of quantity surveying cannot be avoided to be involved with other professions such as architect and engineers. In order to meet the expectations, the Quantity Surveyors need to use the various knowledges and skills in doing their
• Among of 100 distributed questionnaires between employees, 90 questionnaires that were fully answered were selected for
The data for this project was taken from the World Bank’s World Development Indicators (WDI) database. The WDI database contains a variety of information that includes economic, environmental, and social variables. This data comes from every country in the world, ranging anywhere from the year 1960-2016. However, each variable’s data differs by country, depending on the year the data was acquired. For this project, we will solely focus on the set of variables acquired in the year 2010 because there are nearly no missing values. The ones with missing values have been expunged from this project. The final dataset consists of 175 countries, with 42 countries having been removed.
In recent years there has been an improved development for the need of design management in construction. Effective design management is necessary for a successful project but the clear picture of design management is not understood properly (S Austin, 2002). Design is a very key aspect of construction and with the help of a good team; good sustainable projects can be produced. The need for improvement of design in construction is very necessary. Delivering the project on time, budget and providing a value to construction is needed (S Austin, 2002). However the role of a design manager is poorly noted and does not have a robust path (Newton, n.d.).
Data Transformation are often very complex and is the most costly section of the ETL process. Transformations are often achieved outside the database using flat files, but mostly occurs within an Oracle database. The transform step applies rules or functions to the extracted data. These rules or functions will decide on the analysis of data and can involve transformations like the following:
This chapter aims to answer three research objectives and questions stated in Fig 3.2. It is guided by Nominalism philosophy that takes into consideration that reality varies between individuals in the social context. This research focuses on qualitative studies to investigate cultural preferences between Indian and British consumers. The data analysis process follows Inductive approach and is based on Grounded theory. In the section 5 above, details and justification for methods selected, data collection and data analysis have been discussed.
1. The significance of key performance indicators in perspective of various construction stakeholders (client, consultants, and contractors).
To meet the aim of this dissertation, data that represents the awareness and knowledge of people employed within the construction industry; especially involved in procurement is required. Three different data collection approaches can be taken to meet this aim, a case study, quantitative approach, or a qualitative approach.