In this essay I will critically discuss about the data collection method which was employed by my selected article, Exposure to Community Violence, Suicidality, and Psychological distress among African American and Latino Youths. This article was created by M. Daniel Bennett Jr. & Sean Joe (2015). The methodology which was used to conduct the findings of this article was by operating surveys. The strategy employed in this essay is quantitative. I will evaluate on the strengths and weaknesses of the methodology used and analyse the circumstances in which this method should and should not been used. I will also used relevant literature to back up my findings.
The purpose of the survey was to find out what are the possible risk factors and
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Standard descriptive analyses assisted in to highlighting the facts about the students and categorised them such as in their race and gender. Exploratory factor analysis assisted in to find what degree the observed variables were connected to their underlying constructs. Exploratory factor analysis establish the idea of each set of variables in account to the students responses. Reliability analyses helped discovered internal consistency and to establish internal validity of the students. Measurement models interlinked with exploratory factor analysis. There was structural equation measurement model for every conceptual element. The model helped explain the link between the latent and observed variables. Structural equation modelling produced a combination of the latent construct which entitled as observed variable after. The baseline structural model displayed exposure to community violence as a contextual factor. Multi-Group Invariance was to decide if the baseline structural model worked equally with other sub population such as African American males, females, Latino males, females, African American and Latino. Survey is a board method of collecting data from a chosen targeted group. According to theorist, questionnaires are seen to be cost effective, quick and are smart way to derive substantial volume of data from a great sample of the population. As per for my chosen article the survey was carried throughout 16 …show more content…
As positivism shows interest on a particular group within the society, Interpretivism focuses on the individual of that society. In this case, positivism is manifested through students behaviours which can be translated by their social norms which are portrayed via socialisation, gender, social and economic status and their cultural context. Interpretivism portrayed students as individuals who are one of a kind and everyone has a unique and contrasting experiences. The have their own reason for their behaviours. Statistics highlight the main points of quantitative strategy. Quantitative data are reference to numeric variables. Descriptive statistics are calculated by using quantitative data. The statistical mode of analysis is essential for quantitative as Byrne (2002) explains that society is complex thus it makes it easier for the surveyor to classify the data collection in order to reach for the right and clear results which was vital for the survey in the first place. According to Byrne (2002) surveys are artificial constructs. The constructs are made to locate issues or situations. To get a better understanding of such cases ontology and epistemology can help us comprehend our understanding of the world around us and how we see the issue that we might/are exposure to in this world. What sense we make out it all. In this case,
He provides us a with a depth overview of a three-year study of 40 minority youths, 30 of whom were previously arrested. The study was done in Oakland, California. Rios give us a clear overview inner city young Latino and African American. Rios emphasize on the difficult lives of these young men, who are faced with policies in their schools, communities, and policing. Importantly, he gives us a clear understanding
1. Outline the causes, incidence and risk factors of the identified disease and how it can impact on the patient and family (450 words)
Throughout one's life, one experiences many emotions and undergoes many changes. Changes that are not always apparent, changes that cannot always be reasoned or changes that reflect greatest in behavior, ones that are dependent on the environment. In Deanna Wilkinson's Guns, Violence, and Identity among African American and Latino Youth, Wilkinson studies the role of violence and guns in the construction the social identity of minority youth. Wilkinson studies 125 violent African American and Latino males aged 16 to 24 in New York City, analyzing 306 violent situations of which 151 involve guns.
The researchers went through the proper channels to get permission to carry out a study using the students who volunteered to participate. The research was conducted using a variety of different survey methods that were chosen to determine the degree and/...
Pastore, Fisher, and Friedman. “Violence and Mental Health Problems among Urban High School Students.” Journal of Adolescent Health. New York. Elsevier Science Inc., 1996
Holder, Eric H. Jr., Robinson, Laurie O., Rose, Kristina. (2009). The Code of the Street and African-American Adolescent Violence. Retrieved July 14, 2010, from http://www.ncjrs.gov/pdffiles1/nij/223509.pdf
What three categories of risk factors are covered in this chapter? Name and explain briefly any two factors falling into each category.
The authors discuss the consistency of their findings with previous research. Name 2 other groups who experience similar increased risk? [2 pts]
Formulate from the above what issues requiring epidemiological research and select correctly the type of methodology to be used: ...
communities and adolescent violence, The Sociological Quarterly, 50, 581-607. http://www.gwu.edu/soc/docs/Kubrin/Immig_Communities.pdf. Feldmeyer, B. (2009). The 'Standard' of the 'Standard Immigration and violence: The offsetting effects of immigration. concentration on Latino violence.
I will collect quantitative data through a survey administered to all teachers at Bethel Middle School. In quantitative data analysis, a researcher analyzed the data collected using statistics in order to break down the data into smaller segments that aim to answer the research questions. Researchers also interpret the data in light of what past research noted and past predictions or assumptions they, and others, have made (Creswell, 2015).
The father of quantitative analysis, Rene Descartes, thought that in order to know and understand something, you have to measure it (Kover, 2008). Quantitative research has two main types of sampling used, probabilistic and purposive. Probabilistic sampling is when there is equal chance of anyone within the studied population to be included. Purposive sampling is used when some benchmarks are used to replace the discrepancy among errors. The primary collection of data is from tests or standardized questionnaires, structured interviews, and closed-ended observational protocols. The secondary means for data collection includes official documents. In this study, the data is analyzed to test one or more expressed hypotheses. Descriptive and inferential analyses are the two types of data analysis used and advance from descriptive to inferential. The next step in the process is data interpretation, and the goal is to give meaning to the results in regards to the hypothesis the theory was derived from. Data interpretation techniques used are generalization, theory-driven, and interpretation of theory (Gelo, Braakmann, Benetka, 2008). The discussion should bring together findings and put them into context of the framework, guiding the study (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). The discussion should include an interpretation of the results; descriptions of themes, trends, and relationships; meanings of the results, and the limitations of the study. In the conclusion, one wants to end the study by providing a synopsis and final comments. It should include a summary of findings, recommendations, and future research (Black, Gray, Airasain, Hector, Hopkins, Nenty, Ouyang, n.d.). Deductive reasoning is used in studies...
American Pie Presents: Beta House I remember being on my first so-called date. I was in 6th grade at the time, hanging out with a 7th grade boy in the basement of his house with no parental supervision. That should have been the first red flag. My parents did not allow me to watch any of the American Pie films at home, so the boy put in American Pie Presents: Beta House because that was his favorite of the films.
The Advantages and Limitations of Social Surveys in Sociological Research To survey something, is to carry out a systematic overview so that a researcher can produce a comprehensive general report on it. Survey method is often used by positivist sociologists seeking to test their hypotheses, and to investigate causes and examine variables. As with every other sociological research, survey has its own advantages and limitations. Positivist research, which is in the scientific tradition, begins with a hypothesis that can be either confirmed or rejected according to the data collected. One of the significant advantages of survey method is that, it can be used to collect data that is a representative of a larger population.
Primary source data collection relies on structured interviews and questionnaires, which many argue do not offer enough fluidity to relate to everyday lives and therefore are not valid research tools (Bryman 2001, p.77). Critics also continue to associate positivism and quantitative methods failing to see that quantitative researchers do not apply the scientific method to all data and can account for influencing variables (Bryman 2001, p.77; Matthews and Ross 2010, p.29). Quantitative methods in the social sciences were highlighted by the positivist epistemology during the mid 20th century; however, Jones (2010) explains how the principles of positivist epistemology are not fully consistent with modern quantitative methods in the social sciences (Matthews and Ross 2010, p.27). Positivist research parallels that of the natural sciences, where data collection and hypothesis testing is conducted from information that can be observed and recorded by the senses (Matthews and Ross 2010, p.27). Because information can only be observed, positivists look for regularities and explain causation when one event regularly follows another, which is why many will criticize quantitative methods if they associate them with the positivist approach to research (Jones