Saint Leo’s core value of “Excellence” states as follows, “All of us, individually and collectively, work hard to ensure that our students develop the character, learn the skills, and assimilate the knowledge essential to become morally responsible leaders” (Florida Catholic University). Using data effectively and efficiently is the moral responsibility of Saint Leo Alumni for our students and community. In order to be effective and efficient one must be able to recognize different types of data and be able to determine the need and meaning behind the numbers. Before interpreting different types of data, remember that data refers to a group of information that one can analyze. Data can range from a gender ratio to scores of an individualized assessment.
In the education field, one will encounter several forms of data throughout the day. The data that we encounter can be broken into three distinct groups. Information that cannot be sequenced is part of the nominal category of data. This information has no “high” or “low” value. There is not a logical sequence for the data to be categorized. An interesting piece of nominal data that I discovered was male to female ratio. I work for a small facility of only 10 employees and was interested to note that there were 4 females and 6 males. Looking at this data is very important because there is a group of people that can utilize this information in a great capacity than others. This group of people is often referred to as the audience. In the gender example the audience for this information would be potential employees and hiring mangers. These would be two key audience members because they would be able to utilize this information most when making decision. Another way t...
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...n, one can understand the practicality and importance of effectively using and deducing data. It is important to understand and interpret different type s of nominal, ordinal, and interval data. Being able to assess the different types of data give one a clear idea of what information is presented and, more importantly, how to competently utilize it. Furthermore, knowing whether the data presented is discrete or continuous will help one to set and meet expectations. In all, having data is imperative however knowing how to utilize the data effectively is invaluable
Works Cited
Data Driven Decisions. (2013, June 3). . Retrieved May 6, 2014, from http://saintleo.learningstudio.com/re/DotNextLaunch.asp?courseid...
Florida Catholic University. (n.d.). Saint Leo University. Retrieved May 10, 2014, from http://www.saintleo.edu/about/florida-catholic-university.aspx
The quantitative method of research in a study involves the use of queries, and the possibilities for reply have been prearranged (book). This method of research has the need for the use of a huge pool of respondents. The scope in this method of research has a necessity to be hypothetically impartial, in facts and be effective numerically. A random selection method, referred to as sampling, is used due to the huge amount of participants needed. Prior to the beginning of the study, a numerical method is used to govern the number of participants to allow the finding to be withi...
framing the questions asked by these disciplines of their data collection. The paper, by their
In any healthcare organization, data is collected in numerous ways for an ever-increasing number of reasons. Data may be collected by a monitoring device directly connected to the patient, or by providers as they make observations or record treatments. Quality improvement activities often call for data collection where observations of activities, timeliness, or satisfaction indicators are gathered. Data may be abstracted from primary sources and collected for unique reporting requirements, such as specialized registries or claims transactions. With the various types of data collected in many different methods for varied purposes, it is not surprising that data collection may have escaped management in the past.
The scientific findings needs to be used are the following, variable which is a logical set of attributes. The attributes is a characteristic or quality of something. For example, the attributes towards my study, would be the ages of both sex genders from college students and parent 's. Due to the fact, if there 's a chance of inheriting alcohol behavior to consume during the adolescence to young adulthood. "The implication of the level of measurement would be analyses require a minimum level of measurements and some variables can be treated as multiple level of
...data. After studying the article and assessing the many degrees the author’s possess, they are more than capable of accurately analyzing and correlating the results consistently.
Numbers can be deceiving and at the same time provide a close analysis of the data which can yield valuable information. As identified in the chart above Thornton Fractional South High School is performing below average as compared to the Illinois State averages for both the ACT and PSAE. However, when broken down by demographics there is another story that becomes abundantly clear. Some of our students are performing well on the state tests while others are fairing very poorly. The White demographic in our building is performing significantly better than either the Black...
First, all data have both an objective and a subjective component. Numbers can be easily assigned to all qualitative data (such as open-ended questions in surveys), and any number obtained by a quantitative study is interpreted using a subjective or qualitative judgment. Second, using differen...
A discrete variable cannot take the value of a fraction between one value and the next closest value. Examples of discrete variables include the number of registered cars, number of business locations, and number of children in a family, all of which measured as whole units (i.e. 1, 2, 3 cars). An ordinal variable is a categorical variable. Observations can take a value that can be logically ordered or ranked. Examples of ordinal categorical variables include academic grades (i.e. A, B, C), clothing size (i.e. small, medium, large, extra large) and attitudes (i.e. strongly agree, agree, disagree, strongly disagree). A nominal variable is a categorical variable. Observations can take a value that is not able to be organized in a logical sequence. Examples of nominal categorical variables include sex, business type, eye color, religion and brand (What are
The process through which data is shared and analyzed is a simple one in my school. A special date and time is usually given for the data meeting and teachers access their class data before each meeting. At the meeting the teachers are joined by the principal and coaches to have the discussion on the results. The result for each grade is examined to
However on the other hand, for all advantages; there are disadvantages. In some instances when people utilize and manipulate data, they may knowingly falsify data so that it may adhere to ones beliefs or theories. In addition there are people who may deliberately tamper with information as well. When collecting information, there must be neutrality when assessing and collecting data. In addition, professional competence and integrity must be superior and finally, all research subjects or respondents must be safeguarded from potential harm and sabotage.
The development of knowledge requires a number of processes in order to establish credible data to ensure the validity and appropriateness of how it can be used in the future. For the healthcare industry, this has provided the ability to create and form new types of interventions in order to give adequate care across a of number of fields within the system. Research then, has been an essential part in providing definitive data, either by disproving previous beliefs or confirming newly found data and methods. Moreover, research in itself contains its own process with a methodological approach. Of the notable methods, quantitative research is often used for its systemic approach (Polit & Beck, 2006). Thus, the use of the scientific method is used, which also utilizes the use of numerical data (Polit & Beck). Here, researches make use of creating surveys, scales, or placing a numerical value on it subjects (Polit & Beck). In the end the resulting data is neutral and statistical. However, like all things its approach is not perfect, yet, it has the ability to yield valuable data.
This paper is an illustration of quantitative data analysis using the IBM SPSS Statistics software. It does not provide the details of technical skill to operate SPSS but focuses on developing a set of decisions and actions in order to set up, describe, manipulate and analyse data in the specific context of the study of Jackson and Mullarkey (2000). In order to fulfil the task, this paper illustrates a step-by-step of actions that were made on the data. It also gives the insight into the determination of each step that helps interpret the findings from the data.
Traditional research may use quantitative or qualitative research method. According to Hendricks (2009), quantitative research is a general conclusion based on hard data. Hen-dricks describe quantitativ...
use the data from the Data Base to help me prove. However I will not
Marzano, R. J. (2003). Using data to improve student achievement : Two wrongs and right . Educational Leadership , 60(5), 56-60.