Usually, just one sentence is necessary to define the population.
It is double spaced except single-spacing is used for a multiple-line reference. It uses dramatic illustrations or quotes to set the tone. It is one of the key elements that proposal readers look at when deciding whether or not to approve a proposal.
When writing the introduction, put yourself in your reader's position - would you continue reading? understand what makes ___ successful or unsuccessful This section creates a perspective for looking at the problem. Chapter I lists the research questions (although it is equally acceptable to present the hypotheses or null hypotheses). An example would be: The research questions for this study will be: 1. Chapter II should also contain a definition of terms section when appropriate.
Again, nearly all proposals follow the same format.
In fact, the proposal is identical to the first three chapters of the final paper except that it's writtten in future tense.
Readers of the paper will be looking for these chapters and sections so you should not deviate from the standard format unless you are specifically requested to do so by the research sponsor.
Most research studies begin with a written proposal.
Example of a problem statement: "The frequency of job layoffs is creating fear, anxiety, and a loss of productivity in middle management workers." While the problem statement itself is just one sentence, it is always accompanied by several paragraphs that elaborate on the problem. An example of an operational definition is: "For the purpose of this research, improvement is operationally defined as posttest score minus pretest score".
Present persuasive arguments why the problem is important enough to study. The methodology section describes your basic research plan.
While the population can usually be defined by a single statement, the sampling procedure needs to be described in extensive detail.
There are numerous sampling methods from which to choose. This is extremely important because the reader of the paper must decide if your sample will sufficiently represent the population.