Research Methods For Engineering Projects Assignment Sample

Introduction Of The Research Methods For Engineering Projects

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Part 1. a)

A hypothesis is a statement and it should be proved. It can be used for the relationship of different kinds of variables; the relationship in the statement gives a prediction in the results for the research question (Locatelli et al. 2022).

Null hypothesis

The research question leads to developing the hypothesis and the research question should be specific and clearer. The following hypothesis guides the different types of appropriate techniques (Araba et al. 2021). It reflects the literature and also theories based on this, It should be testable. The null hypothesis is like a proposition; there will not be too many variables and it always refers to the population.

Alternative hypothesis

There are also alternative hypotheses also and it is called research hypotheses or experimental hypotheses and is a statement of inequality. This proposition has a relationship with the research hypothesis (Hicks et al. 2020). This is the statement of differentiation, it refers to the sample. The variables should be interested in. They always refer to the following sample. It is mainly a declaration than a sample and the inequality statement in the different types of variables. This must be a declaration than a question and the following point should be specific. It must be a declaration than a question, the point should be specific. It can be declared that a question and there are also non-directional research hypotheses and it reflects the expected difference in the following groups and it should not specify the following directions of any kind of difference.

Smart home systems

There are a lot of smart home automation systems like an echo of amazon and google home and smart home smart things (Firoozi et al. 2021). The smart home is like a residence that mainly has connected devices that can even enable remote monitoring and it is like monetary management. The smart home can be created The directional research hypothesis reflects the following differences in the following groups and it also specifies the directional hypothesis and the following process should be tested and it looks like a null hypothesis. It is mainly a starting point usually. The process should be examined in the null hypothesis which is called significance testing and the range values should be established like a null hypothesis. The following hypothesis states the following predictions and the research will be found. The hypothesis happens by the existing theories and knowledge and it is also a scientific research method for statistical analysis. The smart home can be created by scratch like Raspberry and it is a prototyping board.

b) Qualitative research as compared to quantitative research

Qualitative research data is dynamic. It is researching the market method that is expressed in the data by communication and open-ended (Luque et al. 2020). And quantitative research is dealing with statistics and numbers, and the process is analyzing the data. This is used to find the average and the relation with the casual tests.

Qualitative research	Quantitative research
Qualitative research is focused on the hypotheses, and the theories	It is focused on ideas and the hypothesis or formulating the theory.
They are analyzed by the process of math and statistics.	The process should be analyzed through the process of summarizing, that category, and the interpretation.
There is the main focus in graphs, and numbers and mostly use in tables.	There is the main focus of the words.
There need more respondents	There need not be so many respondents which means need to have a few respondents.
It has multiple questions for choice	It has open-ended questions.
Their important terms are the measurements, and the testing	Their main key terms are context, complexity, and understanding.

They use qualitative research when they want to understand their thoughts and experiences. And the use of quantitative research to confirm and something test the hypothesis. Research qualitative can bring the details of the data and a deep understanding of their implication. Research quantitative to find the data numbers for the general points proves their research. To find the best result in that research method in their surveys, this is important to understand the comparison of qualitative research and quantitative research.

Smart home on thematic analysis

Smart home is a kind of technology and environment sensors and videos for attraction in healthcare delivery (Saukko et al. 2020). Development of the technology is justified by the technology's potential for the increase of people living in conditions of the long term. The data of qualitative collected through the method of thematic analysis, which is an important fundamental method in research qualitative. Use smart home solutions that allow consumers to manage their homes related to less cognitive and demand of physical.

Apply of method thematic analysis, the researchers can derive and represent the detail in various aspects of the research topic through the reporting pattern regarding the data set, and the analysis. Research approach is utilized in the smart home. Smart home is complex and also new for consumers. The quantitative method is not suited for other complex measures of the system of healthcare delivery, like the leadership of clinical, for implementing the evidence guidelines.

Part 2. a)

The research wheel

In the scientific method, the people are going to focus on the wheel of science and which represents the whole process and can even speak about the theory and generalization (Shafqat et al. 2022). It is a kind of empirical and generalization. The basic spokes of the wheel theory are hypothesis and observation. The wheel of science has mainly two points, inductive and deductive. The deductive mainly starts with the theory. Here are also assumptions and theories that mainly derive the conclusions and assumptions; the theory helps to find out the research. It helps to allow formulate the hypotheses. This following testing involves observations and it can even formulate the hypotheses and it is a collected observation. The processing data and perceptions can be influenced and biased. I can be more structured by observing the world. The scientific method helps to get a systematic way by observing the world, It should be the scientific method and it focuses on the wheel of science and also hypotheses and also by the basic spokes. The wheel of science mainly spokes about the whole process. The four basic spokes are wheel theory, hypotheses, and generalization and observations. With the scientific method, people are going to focus on the wheel theory and observations. The wheel of methods explains the scientific principles and it must be the developing theories and hypotheses are like observation and it explains the behaviors.

The designer is specialized in user-centered research. The inductive approach should begin by collecting the data which should be collected (Wu et al. 2019). The researcher should have a breather from the data collection. The inductive research will begin by collecting the following data and the researcher can even take a breather from the view of data collection. The author looks for patterns in the data. It should be started with a set of observations and it can be moved by particular theories and it should be specific from the general. The observations have particular experiences and it can even have the data from theory and it should be specific from general. Inductive reasoning is a bottom-up approach and it can even deduct the following reasoning. The reasoning takes specific to general and it should be deductive reasoning. The inference can be done by the general premises which have specific conclusions. The inductive approach is like a systematic approach and it can even analyze qualitative data in the analysis (Issa et al. 2019). The analysis can be guided by the evaluation objectives. The following research involves the observation pattern and also the development of an explanation. The inductive reasoning premises from the specific observations and the data and conclusion are linked with the data. The inductive inference can be done from specific to general. The users can even make any observations which can even make the generalization and the inductive process have an explanation or theory. There are also constant inductive References and there is another deductive experience.

There are also different types of inductive reasoning and measurements and it can even detect the following patterns it is like a tentative hypothesis and the users can even explore it (Botejara-Antúnez et al. 2022). Then, the inductive research approach can even stop this by developing some theories and conclusions. The following benefits of the inductive approach are that it mainly allows the contexts and support and also theories. The inductive approach should be seen and support a new theory.

Smart home stakeholders in smart homes

The diverse service needs of various types of stakeholders have involved smart home businesses like healthcare experts, telecommunication companies, social service providers, etc (Tsiga and Emes, 2022). The smart device collects a huge amount of data in the cameras and microphones at the home devices and it is an audio preference for the following activities. One of the most critical problems of smart devices is the lack of a network. There are 7 segments in the smart home devices and cities which are strugglers and convenience. Smart home devices have a lot of benefits and consumers are concerned about the drawbacks

B) Difference between the “Deductive” and “Inductive” approach

The difference between the deductive and the inductive approach is the vital issue. The research plays an important role, as it allows their theoretical knowledge and also verifies the existing theory (THOMAS et al. 2021). The approaches of inductive and deductive research may understand a kind of categories. These two kinds of inductive and deductive are different from each other. Research of deductive is expressed on verify theory, but inductive research is expressed on the new theories. It is the main important for the difference between inductive and deductive research.

Research of Inductive

This research goal is to create new knowledge. It generally starts with the interest area for researchers. Researchers create issues regarding research from that selected field and invent the question by research (Abdulmajeed et al. 2021). It has to come from research qualitative. They attempt to get the data through their observations. Researchers rely on different methods according to the data collected for their questions relating to the research. In the analysis stage, the researcher searches the patterns from their data. These are highlighted in the inductive research and their approach is bottom-up that is being used.

Research deductive

Deductive research is different from research inductive in that they use the top-down approach opposite to research inductive. It comes from research quantitative (Picard et al. 2022). It can be understood as the category of research that involves the testing process hypothesis according to theory verification. But the research inductive creates new knowledge through theory creation and the research of deductive goals of theory testing.

Approach

• Research process can be deductive and the indicative that have to be viewed reversals.
• Research of indicative is used in the approach of bottom-up.
• Research deductive is used in a top-down approach.

Objectives

• To the research indicative goals to produce new knowledge and generate theories regarding new.
• To the research deductive objective to verify the theories.

“Hypothesis vs question research”

• For research deductive hypothesis is used for the testing.
• For research indicative, the researcher is expressed to search for answers to the question.

Uses

• The approach of inductive is used in the research qualitative and objective to search the descriptive data.
• The approach of deductive is used in research quantitative and also uses deals with numbers.

Observation

• For research deductive, researchers attempt to search for patterns by this observation.
• For research inductive, researchers use the observation in the valid pattern.

Part 3

Background

The main issue of the engineering firm is the infrastructure of any college. To solve the infrastructure issue, the company should create markets to improve the infrastructure (Fürstenberg, 2020). The firm owner should employ a caretaker for the infrastructure of the project.

Research question

1. Why is infrastructure essential?
2. Why improving infrastructure is good?
3. What are 3 different types of infrastructure?
4. How infrastructure is can be upgraded?
5. What is quality infrastructure?

Aims and objective

The rationale can even change the way of the following infrastructure.

• The infrastructure procurement is like a project and the following infrastructure should be managed.
• The engineering firm can even manage the infrastructures on a project basis and it is the result of interactions and the market should be coordinated and fragmented.
• The demand of the company should be lumpy and stop-go in nature. This process can even reduce the infrastructure of the following market.

A preliminary review of the literature

This can even reduce the development of the infrastructure and it has the ability of bidders to prove the possible services. The unified market should have the infrastructure for the assets and services. The following infrastructure system should work together. The unified market should have the infrastructure assets following services for the different parts of the infrastructure system; it ensures the common pitfalls of the following infrastructure. The following infrastructure can be treated like static physical assets and it mainly avoids the proper considerations of the following services it should be delivered instead of choosing it and it can even renovate the existing infrastructure. The strong infrastructure market should be defined. The pipeline projects will be the long term and there are also private sector participation and ownership also. The shift can even come from the outcomes. The following infrastructure should be looking good. There are also responsiveness and innovations too. The infrastructure of the engineering firm should be attractive to the viewers.

Project methodology

The private funding infrastructure is crucial for the infrastructure gap. The transparency of the infrastructure should be updated. By developing the infrastructure, the project generation should be processed and also have an operation phase. The infrastructure project generation process should have higher certainty, framework conditions should be executed and the risk also can be reduced. There is a more independent cost to benefit this infrastructure. The long-term infrastructure of the private firm should be better. The unified methodology has benefits and compatibility and the engineering firm infrastructure is beneficial. The continuous improvement of the culture should be completed and the project evaluation should be reviewed. The price signals guide the infrastructures. The price signals can even apply and demand the following infrastructures.

Qualitative

The firm owner should upgrade the infrastructure of the office. The project should be a speedup. There are also implementations for property disputes. It should be equipped for the necessary decision. The project contractor should be crucial for the quality and speed of the infrastructure. Better information and infrastructure also need to be planned for the following firm.

productivity should be improved and it can even harness the power of the innovations in the following sector and the preconditions should be increased for productivity. And infrastructure services and it is a catalyst innovation for in the provision of infrastructure and the service should be delivered. The physical attributes have the asset for the services.

Productivity and harnessing are the power of innovation in the infrastructure sector and it is a catalyst for innovating it also shifts the focus and also physical attributes of an asset and the following things need to be delivered.

Reference list

Journals

• Abdulmajeed, A.A., Al-Jawaherry, M.A. and Tawfeeq, T.M., 2021, May. Predict the required cost to develop Software Engineering projects by Using Machine Learning. In Journal of Physics: Conference Series (Vol. 1897, No. 1, p. 012029). IOP Publishing.
• Araba, A.M., Memon, Z.A., Alhawat, M., Ali, M. and Milad, A., 2021. Estimation at completion in civil engineering projects: a review of regression and soft computing models. Knowledge-Based Engineering and Sciences, 2(2), pp.1-12.
• Botejara-Antúnez, M., Sánchez-Barroso, G., González-Domínguez, J. and García-Sanz-Calcedo, J., 2022. Determining the Learning Profile of Engineering Projects Students from Their Characteristic Motivational Profile. Education Sciences, 12(4), p.256.
• Firoozi, A.A., Naji, M., Dithinde, M. and Firoozi, A.A., 2021. A review: influence of potential nanomaterials for civil engineering projects. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 45(4), pp.2057-2068.
• Fürstenberg, D., 2020, August. Information management in AEC projects: A study of applied research approaches. In International Conference on Computing in Civil and Building Engineering (pp. 272-284). Springer, Cham.
• Hicks, B., Culley, S., Gopsill, J. and Snider, C., 2020. Managing complex engineering projects: What can we learn from the evolving digital footprint? International Journal of Information Management, 51, p.102016.
• Issa, U.H., Miky, Y.H. and Abdel-Malak, F.F., 2019. A decision support model for civil engineering projects based on multi-criteria and various data. Journal of Civil Engineering and Management, 25(2), pp.100-113.
• Locatelli, G., Konstantinou, E., Geraldi, J., and Sainati, T., 2022. The dark side of projects: Dimensionality, research methods, and agenda. Project Management Journal, 53(4), pp.367-381.
• Luque, A., De Las Heras, A., Ávila-Gutiérrez, M.J. and Zamora-Polo, F., 2020. ADAPTS An intelligent sustainable conceptual framework for engineering projects. Sensors, 20(6), p.1553.
• Picard, C., Hardebolle, C., Tormey, R. and Schiffmann, J., 2022. Which professional skills do students learn in engineering team-based projects? European Journal of Engineering Education, 47(2), pp.314-332.
• Saukko, L., Aaltonen, K. and Haapasalo, H., 2020. Inter-organizational collaboration challenges and preconditions in industrial engineering projects. International Journal of Managing Projects in Business, 13(5), pp.999-1023.
• Shafqat, A., Oehmen, J., Welo, T. and Ringen, G., 2022. The role of risk mitigation actions in engineering projects: An empirical investigation. Systems Engineering.
• THOMAS, S.J., ZEGWAARD, K.E. and FOX-TURNBULL, W.E.N.D.Y., 2021. Graduate mechanical engineering perceptions on the value of learning from work placements and engineering projects. In Work-Integrated Learning New Zealand 2021 Refereed Conference Proceedings.
• Tsiga, Z. and Emes, M., 2022. Decision making in Engineering Projects. Procedia Computer Science, 196, pp.927-937.
• Wu, X., Zhao, W. and Ma, T., 2019. Improving the impact of green construction management on the quality of highway engineering projects. Sustainability, 11(7), p.1895.