Evaluation Of The Theoretical Model Development

This chapter outlines in detail how the research will be conducted, starting from the research philosophy, research design, data collection and analysis methods.

It helps clarify relationsips between variables that cannot be examined by other methods and allows prediction

This paper will review different styles of research design along with how different variables within research can be measured.

Regression analysis will be performed on all variables to determine if relationships exist between variables.

In order to figure out how variables relates to each other and the connections among the variables, or one can predict the other. I will choose three quantitative variables or two quantitative variables and one categorical variable on each pairs. I will also use graphs of scatter plots; regression and correlation to understand that how one variable affect other two variables. There are six groups below:

"There are several different kinds of relationships between variables. Before drawing a conclusion, you should first understand how one variable changes with the other. This means you need to establish how the variables are related - is the relationship linear or quadratic or inverse or logarithmic or something else" ("Relationship Between Variables ", n.d)

Creswell, J. (2009). Research Design: Qualitative, quantitative, and mixed methods approaches. (3rd ed). Thousand Oaks, CA: SAGE Publications.

Therefore, there are, in fact, four parts of the theory connecting and interlocking in a hierarchy system.

Step 1: “Select a process to evaluate with FMEA” (Failure Modes and Effects Analysis (FMEA) Tool, 2017). In the first step will define what is to be evaluated and with the process that will be used.

The strength of the relationship amongst two variables are described as the correlation as cooperative and easy and unbiased. Indicating the correlation as an accurate calculation making it as transparent and understandable to follow.

With path analysis we are attempting to estimate and describe causal relationships through the use of correlative data. Because of this fact the degree of confidence we can have in the causal inferences drawn from the results of the analysis is bound to be much less than the confidence in inferences drawn from an experimental study.

For example – Emotional Intelligence self report measures will show a relationship with the factors like

The research design constitutes the blueprint for the collection, measurement, and analysis of data (Cooper and Emory, 1995). It involves (a) selecting sources and types of information used to answer the research questions; (b) specifying the relationships among the study’s variables; and (c) outlining each procedure for conduct of the research. The research design not only provides the plan and structure for an investigator to obtain answers to research questions, but also helps researchers to allocate their limited resources in order to complete the research project within time and financial constraints (Robson, 1993; Cooper and Emory, 1995). Six interviews were conducted.

Qualitative and Quantitative study designs both can be beneficial in research design. They both provide valuable options for researchers in the field. These techniques can either be used separately in a research study or they can be combined to achieve maximum information. This paper will define the terms qualitative and quantitative; describe the similarities and differences between each; discuss how qualitative and/or quantitative research designs or techniques could be used in the evaluation of my proposed research; and discuss why linking analysis to study design is important.

It is a logical development, described and elaborated network of association amongst variables that has been identified through interviews, observation and literature survey. Identification of key variable is very important in every research study. It can be defined as:-