Quantitative Analysis: The Growth Of The MS-13 Gang

After many mixtapes and nearing the edge of household name status, Maryland rapper Logic drops his first album. In this album is a song titled Gang Related. This song tells the story of what environment and household he grew up in. His brother is in a gang and sells cocaine to his father in front of him. Logic's mother is in an out of mental institutions, all the while logic is growing up and trying not to get shot when he walks outside. With drugs and gangs all around him, it is quite amazing that he got out and become a famous rapper. Gang Related also has a core message of stopping the violence, which leads to a question, is this song about his story or a message about ending the violence?

Quantitative research is done to find the accurate facts by evaluating the problems like opinion, behaviour by using numerical data. This research is based on theories, hypothesis, collecting, analysing the data to make the research accurate.

Quantitative Research is using numerical data such as how many minutes, degrees, number of etc. Quantitative research is commonly used to research the number of thing for example there have been 5 members, 2 non-members and 10 monthly members attend a fitness class today.

In Chicago 2022 in this neighborhood there was the most dangerous criminal on the streets. He was famous, but he was low key famous. The people knew him but the cops had no idea there was a guy like this on the streets. He goes by black papa, but his real name was Ib ba. His house is small and trashy but he made it like that so people would think he had nothing but in his house he had million of money and thousand of drugs. In this part of Chicago there was gangs Ib was the leader of the 18th street gang. His gang had bob fish wasbi, Christan the destroyer, Devyn chill, and Pablo the quiet. Black papas gang was small but the other gangs wouldn't dare try to cross them Pablo the quiet was quiet but if u made

A quantitative study has objective stances, logic, and numbers focusing on unchanging data and details (Babbie, E.R., 2010). The aim of quantitative research is to classify features, count the features, and construct statistical models to explain what was observed (McNabb, D.E., 2008). It has eight characteristics:

Scientific method involves quantitative information. For example measuring changes in the body and analysing blood or urine samples. Body mass index is used to measure height and weight to distinguish whether an individual is a healthy weight.

“Researchers who use quantitative research method seek objectivity through testable hypotheses and carefully designed studies, and gather date that can be reported in numbers and statistics” (Crawford, 2016, p. 66). According to Crawford (2016, p. 66) “conclusions from this study are drawn from statistics and generalized to populations of interest”. Unlike qualitative that helps to eliminate opinions and thoughts, quantitative quantify opinions and thoughts and they obtain results from a larger sampling population. As I had previously stated on my discussion board “Quantitative researcher’s collection methods include many different kinds of surveys for example; online surveys, paper surveys, online polls, face-to-face interviews, telephone interviews, and etc”(myself). “They use the surveys to measure attitudes, behaviors, and opinions” (myself).

General speaking, quantitative research is thought to be objective, however qualitative research often involves a subjective element. There are differences designs in qualitative research in comparison to quantitative research. Qualitative research involves words, pictures, or objects; Quantitative involves data in the form of numbers and statistics.

Quantitative Research- a research based on experimental data, a survey that proves the actuality of the theory.

One of the advantages of using the quantitative research is that it can stand on its own and does not require deep interpretation. Usually, quantitative research better enables researchers to test hypothesis. Also it is easier to look at a chart to see the

Alternatively, Quantitative analysis is a more commonly practised method as it relies on testing, simulations, calculations, formulas and any other appropriate forms of data to produce a representative figure.

Quantitative research involves collecting data, which can be expressed numerically. The design is well structured with pre-determined outcomes. It frequently involves testing a hypothesis, which then can be analysed from the data deductively using statistical methods. Using numerical data is easier to analysis mathematical, so larger sample sizes can be utilised compared to qualitative research, therefore giving a better representative of the population; along with simplifying the process of making a generalisation. Another advantage is that studies can easily compare to similar findings (Kruger, 2003). The disadvantages are the results are limited and might not provide a proper understanding of the topic. Also, statistics and leading questions can be used to give a false representation of the data when summarising.

There are four types of quantitative research: survey, correlational, causal-comparative and experimental. Survey research is extremely common and uses sampling polls, interviews and questionnaires to get a feel for the behavior. It can be conducted with a single group or a comparison of several but it is important to question people at random to obtain more accurate findings across a greater span. Correlational research is the measure of which two variables are related. If one variables increase tends to be associated with an increase in the other variable then this is known as a positive correlation. An example would be height and weight. Taller people tend to be heavier. (McLeod, 2008). If an increase tends to be associated with a decrease in the other then this is known as a negative correlation. An example would be height above sea level and temperature. As you climb the mountain (increase in height) it gets colder (decrease in temperature) (McLeod, 2008). When there is no relationship between the two variables there is a zero correlation. Causal-comparative research involves comparison research and exposes the cause and effect of a given relationship between two variables. The study of two or more groups does not focus on their relationship. Instead, it tries to identify how the different groups in the same circumstance are

(i) Quantitative vs Qualitative Research: Qualitative research methods is based on values and not numbers while quantitative is based on numeric and Quantifiable data to generalize in its conclusion.

Quantitative research involves the use of experimental and quantitative measures to test general hypotheses (Hoepfl, 1997). Golafshani (2003) suggested that quantitative research is based on the measurement and the analysis of the causal relationship between variables. Through quantitative research, the researcher is familiarized with the concept to be studied and generates the hypothesis to be tested. As such, the mathematical process takes the norm for analyzing the numeric data and the information gathered takes a numeric form that can be quantified and summarized. Moreover, according to Charles (1995), the final result of the quantitative research is usually expressed in statistical terminologies. Another aspect of quantitative research, as seen from Golafshani (2003), is that it emphasizes on the facts and causal. Therefore, a qualitative researcher should construct an instrument, standardize it and administer it according to predetermined procedures. However, the concern, according to Golafshani (2003), is on its