Resilience In Remarried Families Research Proposal Examples
Type of paper: Research Proposal
Topic: Family, Population, Education, Study, Social Issues, Information, Relationships, Interview
Resilience in Remarried Families
This research was based on simple random sampling. There are a number of reasons why simple random sampling was chosen as the best method to obtain the required data in the research on resilience in remarried families. The population for this study was identified as remarried families with couples of all ages accepted for the research. Such families are common in the United States and as such, identifying the population was not challenging.
Simple Random sampling was favored as the best method of data collection in this research because it is considered fair (Scott & Wild, 1986). It gives al members of the population an equal opportunity to participate hence very representative. Unbiased random sampling goes a long way in ensuring accuracy of the conclusions made.
Remarried families were invited to register as part of the research project. As a result, many such families volunteered to be part of the research. Out of the total number that was listed, and which was marked as the population of the study, only a few families were selected to form the study sample. This was done using a random number generator with families of all ages being considered on equal level. The sample was then interviewed and handed questionnaires which they filled in indicating the information required. Participants were visited in their homes where researchers also had the opportunity to make other observations related to their marriage lives.
Participants in the study involved adult males and females who had remarried. Both male and Females were interviewed on their marriage life. While most couples were thirty five years of age and above, there were younger couples as well as there was no age restriction in identifying the population for the research.
Scott, A.J. & Wild, C.J. (1986). "Fitting logistic models under case-control or choice-based sampling". Journal of the Royal Statistical Society, Series B 48: 170–182