We are taking an approach using a (name of research design) with a (High or Low) number of participants over a 5 hour period of time at (Name of Location).
Discuss everything related to the participants here such as age, genders, nationality, status of any type, and how people were selected, such as which sample plan was used. Discuss rationale for why method of sampling will be used and how the actual recruitment will be performed.
Discuss every type of tool, materials, or instrument used in the experiment.
Discuss a sequence of events which would allow someone to duplicate your study. Discuss the exact sequence of events. The research method should be clearly identified. For example, was it a quantitative, between-subjects, or matched-groups design.
Discuss which variables are being measured, such as the independent and dependent measure, (List the specific variables after identifying them) and how the reliability and validity of the measures will be assessed. Which type of statistical tests will be utilized in this study?
The research design will use, for the most part, a cohort design, since it deals with geographic areas, namely inner cities. It is an open cohort study using regression for several reasons. First, we can assume that populations are dynamic, but not so dynamic that we cannot draw rational conclusions from them. Secondly, we need to compare different groups in the cities we have selected: Detroit, Charlotte, NC and Irvine, CA. The fact that they are so different from one another needs to be taken into consideration.
Our research study deals with the unprecedented breakdown of Detroit in nearly every social and financial category. Our basic hypothesis is that Detroit's meltdown is caused by anomie. But since that is not possible to measure, we can deal with its effects (or causes) such as family breakdown, crime rates and school drop out rates. These are not controversial as either causes or effects of anomie (Powell, 1966). The cause/effect question is insignificant, since it exists in one way or another in Detroit and likely has for some time. Chances are, there are no causal directions ascertainable.
We then contrast Detroit's destruction to cities that, while smaller, are doing well. We have chosen Charlotte and Irvine because they are heavily racially mixed, so the ethic factor is not an issue. While these are smaller, they have seen some suffering. Charlotte has seen its textile industry destroyed, while Irvine dealt with foreclosures after the meltdown of 2007. Yet, these cities are now growing and doing well. Why is Detroit different? We expect to find fewer signals of anomie such as stronger families and stronger identification with the law and the legal system in general (also cf Brady, 2001).
The question is whether or not we need actual physical samples. Most of our data is readily available from city authorities online. The Census Bureau has far too many data sets for us to use efficiently. Therefore, there is a chance that we can use a simple experimental design using regression. We will use different measures of anomie with different causal variables. We can experiment with several models relative to significance.
Our variables will include education, crime, dropout rates, change in population, and most importantly, single parent households. These variables will give us a handle on the state of affairs both socially and psychologically in the three areas. Chances are that we will not actually need to speak to live human beings. ...
The expert discusses the related participants for age, gender, nationality and the status of any type. Rationale for methods of sampling are given.