For each set of questions, please use 2 references with each set.
Set 1: What is scaling? Why would you use it? Discuss scaling and dimensionality.
Set 2: You are conducting interviews with your participants. You begin to see a convergence of their themes and a flaw in your initial research design. The flaw in your design is that it pushed your participants into informal groups or silos. How can you overcome this design problem?
The context of these questions is the events and research surrounding writing a dissertation. That plan is below: Topic: My plan is to research the proposed problem of whom Teachers and the school administration believe to be liable in instances where minor commit acts of cyberbullying. The research site is composed of 3 schools; 1 private and 2 public. The population target is the teachers and school administrators. The Title of the paper is, The perceptions of Guardian liability of underage cyber aggressors from school teachers and faculty. I am doing a QUALITATIVE Research paper. Answer the questions in that perspect
ive.
For the Set 1 questions, an idea of what is expected is as follows: Scaling is the process of assigning numbers or letters to the values of variables. As an example, this could transform perceptions, attitudes, and preferences in numbers (BusinessJargons, n.d.).
Scaling is considered an extension of measurement. It enables the grouping of research results into groups or categories for easier analysis.
Dimensionality is about how many concepts are measured to assess a variable. While scaling is applied in a linear way to one construct. a combination of scaled measurements of different constructs in a multidimensional way will give an aggregated value of the studied variable
For the Set 2 questions, an idea of what is expected is as follows: By exploring the effect of silos in research, I found that improving communication is the best way to bring participants back to the initial research design.
Adjusting the research design based on the new field data, as this data is effective and should be trusted more than any theoretical assumption.