Data Management and Medicine - Essay Example

"Data Management and Medicine" is an outstanding example of a paper on the health system.

Every research requires a thorough understanding of the subject matter based on analytical analysis offering a good amount of information in terms of results and solutions (Dodge, 2003).  The research about obesity amongst Latino children aged 12-17 is based on the sharing of ideas and information through individual and group interaction. The information has been collected through several questions requiring logical analysis using statistical tools to identify the relationship between different variables. This particular assignment highlights the importance and role of data analysis helping in identifying key issues along with offering key solutions and understanding over the subject matter. 

Data Management 

Data management is often defined as collecting data and logically coding them to identify key results and conclusions (Beck, Michael, 1995).  Data collected from the study of the prevalence of obesity amongst the Latino children will be coded simply based on similarity. It also includes a thorough checking of data in terms of validity and reliability. This helps in identifying the missing values and consistency of data and information. The final data will be organized systematically using excel. This will help in identifying key data that will be further analyzed using statistical tools. The program has several volunteers and few of them will be assigned to analyze these data along with coding, cleaning, and organizing them analytically and systemically. Thus, the data management will include information collected from the Latino children through questionnaires and five people from the team of volunteers will be responsible for managing them. This will help in assessing the reliability, validity, importance, relevance, and nature of data. It is important to identify the mode and nature of analysis and the next part discusses it in an illustrative manner (Day, Ronald (2001).  This will also help in understanding the overall approach to the data analysis. 

Data Analysis- Variables 

To identify the prevalence and impact of obesity amongst Latino children, few variables have been identified. These variables include diet patterns, social culture, food habits, and awareness of obesity. These are independent variables whereas obesity is a dependent variable dependent on all these variables. This is going to be the multivariate analysis as there are several variables associated with the study (Tabachnick, Fidell, 2007). 

Statistics 

The statistical study will be based on a descriptive analysis of the information collected through questionnaires as it will help in summarizing, organizing, and describing the character of the targeted group. This will also include identifying the relationship between the dependent and independent factors in a critical manner.  

Interpretation of Data 

The data will be interpreted using excel and solutions and findings will be cross-checked with the expected findings and results. Data interpretation will be undertaken by the assigned volunteers responsible for assessing the data based on the collected information. 

Evaluation and Reporting 

The evaluation report will contain a descriptive study of the information along with highlighting the methodology and solutions in an informative manner.   

Presentation of Data 

The data analysis will be presented to every participant in personnel. The report will include graphs, charts, and a thorough analysis of variables.   

Utilization of Report 

The report will be offered with a view of creating an impact on the life of Latino children. It will also include guidance, feedback, and a wide array of information over the issue.