Running head: INTRODUCTION TO DATA ANALYSIS
INTRODUCTION TO DATA ANALYSIS
Introduction To Data Analysis FirstName LastNameUniversity title
Several program models can be used to analyze the data collected during this project. These programs are essential because they provide a better understanding of information concerning youths in Riverbend City (RBC) and the rate at which they drop out of school. The following are potential programs that can help analyze the data gathered about the topic.
The first program is the culture-based model used in studies to shed light on humanity, the diversity that exists among different people, and the analysis of diverse cultures (Young, 2008). This model can be applied in different disciplines for varied purposes. For example, researchers in psychology can use the culture-based model to back up their arguments about mental processes (Young, 2008). On the other hand, anthropologists can use this model to analyze shared behaviors among different cultures. Therefore, this model provides a framework to be used in designing services and products that target a specific culture. The culture-based model is helpful in understanding the dropout rate in Riverbend City because it motivates researchers to look into cultural factors that cause youths in the region to leave school or to offend. This model will help explain why the most significant percentage of youths in the Second Chance Program (SCP) are Hispanic (“Second Chance Program,” n.d.). It might also explain why African Americans form the smallest percentage in the program.
Another potential program is the cooperative learning research-based model, which functions by dividing the data to be analyzed into smaller parts (Mehta & Kulshrestha, 2014). As a result, researchers look at the information in parts instead of analyzing it as a whole. After analyzing the parts separately, the researchers come together and share their findings (Mehta & Kulshrestha, 2014). This program is appropriate for analyzing the information collected on SCP and the students in RBC because it will require researchers to split the collected data into different sections. For instance, instead of examining the data as a whole, researchers can divide it into parts, such as youths who enter the programs because of disciplinary issues in school and those who came to the program as an alternative to incarceration. The researchers will then analyze these two parts separately before combining the findings from the two sets.
The third program that can be incorporated into this project is the impact model, which is concerned with the findings of research that have a positive return to a particular topic (Milat, Bauman & Redman, 2015). This model ensures that the data collected adds value to the research by guiding the process of collecting data and analyzing it. Thus, the main aim of the impact model is to measure what is important to a study instead of striving to measure as many variables as possible (Milat, Bauman & Redman, 2015). This program model will ensure that the data collected during this project is meaningful. The researchers will focus on variables that help answer the research question.
The models mentioned above will produce different results depending on the potential data they analyze. For instance, the impact model will be affected by data that contains terminologies with more than one meaning (Milat et al., 2015). This makes it challenging to determine the contributions of findings to a particular topic. This problem can be addressed by establishing a common definition of essential terminologies, which will prevent confusion when quantifying data. Information about youths in Riverbend City can also affect the cooperative learning research-based model because handling separately different segments of the data might result in inconsistency in the methods used to analyze data. For example, different researchers might prefer using different ways of analyzing information, resulting in different findings. To prevent this challenge, researchers should discuss methods that they will use in analyzing different parts to ensure uniformity. Thirdly, the culture-based model can be affected by the participants’ culture. If researchers have little knowledge about the culture of the population they are targeting, it would be difficult for them to establish the cultural aspect of the data they collect. The solution to this problem is to determine background information about the culture of the people that will be involved in the study before collecting data. For example, in this project, the researcher should be aware of the culture of the people in Riverbend City to facilitate faster data analysis.
The Second Chance Program began functioning in 2000 to help adults in Riverbend City look for ways of reentering their communities. However, the organization’s focus changed in 2005 to accommodate youths in Riverbend who had committed non-violent offenses (“Second Chance Program,” n.d.). The organization saw the need to take this action because of the increase in the rate of young people in the region that left school for various reasons, mainly violations of the school district’s strict rules. This resulted in more children entering prison and fewer youths graduating from high school. The solution that Second Chance sorted was to provide non-violent juvenile offenders with programs that would equip them with the skills needed to return to school. The organization also expanded its programs to accommodate students who are at high risks of facing expulsions or dropping out because of various reasons. It began offering First Chance Programs that focused on areas such as character development and different forms of therapy. The aim of these programs was to retain more students in school by lowering the chances of them dropping out. The organization is also non-profit and has a board whose role is to oversee the activities of different programs.
The data collected about SCP reveals the demographics of youths who participate in the program. Male youths are the majority in the program since they form sixty-eight percent of the participants, while females only form thirty-two percent of the population (“Second Chance Program,” n.d.). Also, the data on SCP reveals that most of the youths that benefit from the program are in high school since the percentage of participants in middle school is twelve. The data also provides information about the graduation rate of participants brought into the program for different reasons. It is evident that the youths from the juvenile system perform better than those facing expulsion because their graduation rate is sixty-eight percent, while that of those facing criminal charges is seventy-four percent (“Second Chance Program,” n.d.).
The data sets that will be useful for this project include the information about the gender of youths that are benefitting from the programs that the organization offers. Knowing the number of males and females enrolled in the Second Chances Program will provide information on the group that faces higher risks of school dropouts. From this information, the researchers can look deeper into the cause of one gender dropping out at a higher rate than the other and the possible solutions to the problem. Another important data set is the rate of high school graduation in the region. This data will be obtained from the statistics that some of the schools in Riverbend City offer. This will help determine the severity of school dropouts in this area.
Mehta, S., & Kulshrestha, A. (2014). Implementation of Cooperative Learning in
Science: A Developmental-cum-Experimental Study. Education Research International, 2014,
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Milat, A., Bauman, A., & Redman, S. (2015). A narrative review of research impact assessment models and methods. Health Research Policy and Systems, 13(1). doi:
Second Chance Program. Retrieved from http://file:///C:/Users/user/Downloads/secondchance-program.pdf
Young, P. (2008). The Culture Based Model: Constructing a Model of Culture. Educational Technology & Society,1(2),107-118.Retrievedfrom https://www.researchgate.net/publication/220374856_The_Culture_Based_Model_Constructin g_a_Model_of_Culture
Running head: INTRODUCTION TO DATA ANALYSIS