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Crime prevention program Philosophy and Goals
Crime prevention program Philosophy and Goals
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Element: An element refers to a unit of which the researcher is interested in collection information with reference to. The main role of an element during a research study is to provide a basis for the collection and analysis of data. Elements usually provide information relating to the entire population. An example of an element is a group of inmates with has unique characteristics or attributes, for instance, a male inmate who is suffering from HIV/AIDS and drug abuse. Elements are also referred to units of analysis. Population: A population refers to a group of individuals or set of items with the desired characteristics that the researcher would like to examine, analyze and understand. It is a set of all the subjects or entities that the …show more content…
The study population must be of great interest to the researcher. In my opinion, a study population is a group or set of identical items or subjects of study that the researcher chooses to examine due to their relevance to the research topic or question. For example, a researcher who wants to study crimes committed by juveniles would select child prisoners aged below fourteen years as the study population. The main role of a study population is to provide the researcher with reliable and accurate information that is relevant to the research questions. In my view, study populations must also have comparable characteristics that are definable and examinable by the researcher, for example, age, gender and level of education of juvenile offenders within the criminal justice …show more content…
For example, in a study of criminal justice among juvenile offenders, a single child is considered a sampling unit. A sampling unit could also be a group of elements in a population that the researcher uses for choosing members of the sample population. For instance, a household of consumers could be considered as a sampling unit during marketing researchers. Sampling units usually share common characteristics thus provide the researcher with invaluable information that is useful for drawing conclusions during the research
Two sampling methods include mail surveys and convenience sampling, a variation of a nonprobability sample. Mail surveys, inexpensive way to contact individuals over a large geographical area, provide anonymity to the respondent, and eliminate interview bias. Convenience sampling, a nonprobability sample, the only criteria is the convenience of the unit to the researcher, fast and uncomplicated, but the sampling error not determined.
1) Demographic is the statistics of the human population using variables such as age, income, education, religion ethnicity ECT.
The very first step to the “Nine Step Stairway to Effective Evaluation” is to define the research population. Population can mean anybody. So, it is needs to be clear as to who we are focusing on. The specification of the focused population is defined by the evaluation researcher. This can include, age, gender, race, culture, or socio-economic status just to name a few (DiClemente et al., 2013).
An investigation of 150 randomly selected local restaurants concluded that 42% of local restaurants have serious health code violations. Is this a population or a sample; explain your answer.
The sample size and exclusion of individuals, such as under 16’s or those in group residence, creates bias and an untrue reflection on population as crimes they experience are not taken into consideration (HO, 2013).
Let’s say you want to do research to learn about the causes of drug use among teenagers in Connecticut. Explain how you could create a sample of teens to study using random sampling, convenience sampling, and snowball sampling, and discuss a limitation of each sampling method.
1. Demography is a discipline in Ecology that deals with population measures such as, age, size and overall structure are critical to demographic work. Demography is used to help understand a population’s growth pattern, although not all individuals are the same age and size or have the same survival and birth rates. Demography allows for greater depth and detail of a population’s structure to be characterized and analyzed.
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...
There are different ways to analyze these methods to decide whether a study meets those expectations. In the past, procedures like the frontal lobotomy or electroshock therapy were being used to treat illnesses and diagnose problems. Today these methods are highly frowned upon as the psychology society has developed ways to analyze studies. They determine if the study’s findings are acceptable and ethical to all forms of life. In Scenario B, the study focuses on 12 participants, between the ages of 19 – 22 years old. Out of those 12, 75% of them were male and 25% were female. This can fall into the category of unrepresentative samples when using research methods. An unrepresentative sample is a group of participants or subjects that are being studied that may not embody the population proportionately. The researchers have used twice as many men in their study which could skew the results due to a lack of equality between genders. Another flaw is that there are only 12 participants in the entire study. The conclusions that are being drawn from these results are not capable of being applied to the entire population. This is because when such a small sample is tested, the researchers do not get a wide perspective of different ages, races, cultures and social interaction factors, for instance. Due to this generalization, the results that are concluded from the study are likely not applicable to a difference in population size and
The nature of research instruments, the sampling plan and the type of data the research design constitutes the blueprint for the collection, the measurement and analysis of data. It aids the researcher in the allocation of his limited resources by posing crucial choices.
Gathering information on the offender population is a vital step of the criminal justice system guidelines. It allows investigation of the inclination and reason for arrest and incarceration rates. A statistical analysis can look at a specific area and try to understand why the offender population is so high or so low. Identifying sanctions, services, and programs serves as a prominent step as well. Every crime does not deserve time in prison so their must other options presented.
The key to good research is preparation, preparation, and preparation. Hence, the key to making good sampling choices is preparation. Trochim (2008) defines sampling as the drawing of a sample (a subset) from a population (the full set). In our everyday lives we all draw samples without realising it. For instance, when one decides to taste some unfamiliar food or drink that is some form of sampling. Williams (2003 74) posits that “Sampling is a search for typicality). On the other hand, (Clark: 2006 87) defines sampling as “a process of drawing a number of individual cases from a larger population”. According to (Chiromo: 2006 16), “a sample is a smaller group or subset of the population”.
The sampling type would most likely be creating surveys, charts, and focus groups to see how consumers would react to see an advertisement with dialogue balloons. The size of the sampling would determine how many people are being tested for research. In addition to how many people are being tested, is what kind of people are being tested. What are the age groups? How many females and males are being tested? What is their relationship to the product? Questions like these and many others must be answered to determine the type and size of the testing sample.
a. Sampling Design: which deals with the method of selecting items to be observed for researcher`s study.