Reference no: EM132075441

Assignment: Final Project: Stage II-Secondary Analysis of Archived Data (SAAD)

Data sets often are compiled for the purposes of original research or recordkeeping. Researchers, such as those in the field of public health, may choose to do their own original research. This prospective research might be quantitative or qualitative. It might take the form of self-reported surveys or many other types of research.

However, not all researchers have the time or the budget to conduct their own thorough research. Instead, they might have to use preexisting data. However, not all databases are collected for research purposes. The data may have been collected for recordkeeping. Either way, researchers might find such databases germane to their own research and research questions. This fresh analysis of existing data in order to answer a research question is considered secondary analysis of archived data (SAAD). A SAAD is a retrospective study and is usually quantitative; however, there is a trend to conduct SAADs with qualitative archived data.

Three essential questions about the database relating to study feasibility must be answered before proposing or initiating a SAAD:

1. Will I have access to the data to conduct the analysis? (Some databases are in the public domain, whereas others are privately owned and require that permission be obtained from the owner to use.)

2. Does the database include the variables of interest for my study? (Are the variables that I want to explore or analyze actually included in the data set?)

3. Can the validity and integrity of the data be verified?

4. How you evaluate an intervention if there is no baseline data. Evaluation and intervention have to be planned together. If national, national representative before and after an intervention,

For this week's Assignment, from the Learning Resources or your own research, identify local and national health-related data sources related to your Final Project. You may use data that are maintained and collected by a community based organization but that have not been analyzed. You may use any available data set to which you have access. You are also free to use any statistical software with which you are familiar.

Note: You are not expected to read all of the content within the readings and websites in this week's Learning Resources, but in this week's Assignment these resources will help you find databases for your identified community issue/product.

By Day 7

The research question is, is maternal perception of own weight a link to childhood obesity?

Submit a 2- to 3-page paper in which you:

• Explain how the data set relates to your Final Project.
• Evaluate the data set for validity and integrity. Explain whether the data are valid and reliable and justify your response.
• The specific sociodemographic, economic, antrophormophic and BMI variablesan types of analysis are available in the NHES.
• the existingn data is research question-driven. To answers to, the question, Is Maternal perception of own weight associated with their Children development of Obesity?
• B) strenths and weakness
• Description of population
• Sampling scheme & strategy
• Time frame of data collection
• Assessmetn tools
• Response levels
• Quality control measures
• Survey instsruments, codebooks, gudiebookds and others to assess internal and external validity
• C) Operationa definitions of the exposure, outcome variable, covariates, cofounding variables
• D) frequency tables, cross-tabulations of all variables-coding pattern for each variable and the profile of missing data for each variable. Pay attention to skip patttersn missing values. Finally recode variables stored in a new data set, syntx and recoding of variables should be docujmented.
• F) check identifier variable to assure data from differen time periods or different datasets
• H) Population-based surveys assess prevalence, include design variables fro each case (including sampling, weight, strata and primary sampling unit) that arneede to adjust the analysis of prevalence, odds ration, mena differences.
• Explain possible strategies for overcoming the limitations of the secondary data.

• Limitations of the analysis of the database data is due to the nature of the large scale survey conducted by the NHES the documentation id daunting, thus there is a ris to miss key details. However, it's a key to learn about the validity of he data fom the providers and a carefull examination of all the documents to mitigate this problem.

Cheng, Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311114/

• Explain the process for selecting a data set and determining its integrity. Provide a rationale for your answer.