Analyze Secondary Data, Archived Data, and Measurement of Variables

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Running Head: DATA ANALYSIS

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DATA ANALYSIS

Data Analysis

Marlena Barnett

School of Business, Northcentral University

BUS 7320: Quantitative Research

Dr. Zhang

February 27, 2022

Part 1. Internet Data Usage and Age Over Time

According to Pew Research Center, a larger segment of American adults which is approximately 65% use the internet especially social networking sites. The rise of social media from the year 2005 has affected the lifestyles of people from work to politics. Also, it has affected how people can get and share various information such as health and news. Social networking use has increased tremendously over the past decade “Perrin, A. (2015)”.

A unique examination of 27 public reviews of Americans across the previous ten years reports this significant spread of innovation all through the populace, albeit the general number of clients of informal communication destinations has evened out off beginning around 2013. Simultaneously, there keeps on being development in online media use among certain gatherings that were not among the earliest adopters, counting more established Americans “Perrin, A. (2015)”.

The following figure is a graphical representation of social networking use among the adults in the past decade.

Part 2: Data Breaches in Health Care Over Time

According to United States National Library, the number of data breach reports increased from 199 in 2010 to 344 in 2017 except in 2015 “McCoy Jr, T. H., & Perlis, R. H. (2018)”. The most widely recognized element penetrated was a medical care supplier, with 1503 breaches (70%) compromising a sum of 37.1 million records (21%). The 278 breaches (13%) of wellbeing plans represented the biggest portion of penetrated records, 110.4 million (63%). The following figure illustrates the number of breaches in health care.

Part 3: Archived Dataset

Dataset Name

Chronic diseases

Dataset Source

Oxford record-linkage study datasets

Dataset Location

https://jech.bmj.com/content/66/6/519.short

Dataset Overview

The main purpose of collecting the data was to determine whether, and by how much, diabetes mellitus increases the risk of tuberculosis and conversely whether tuberculosis increases the risk of diabetes mellitus. The method used was retrospective cohort analyses using data from two Oxford Record Linkage Study datasets, containing information on hospital admissions to hospital and day-case care between 1963 and 1998 and 1999 and 2005, were carried out.

Dataset Timeframe

1963-2005

Four Variables

Not available

Reflection

Archival data might be considered any kind of data, recently gathered by others, amiable to orderly review. Here, the attention is on data that might be utilized to address questions connected with mental peculiarities, with an outline of the bunch wellsprings of information accessible to the mental specialist, and the benefits and detriments of auxiliary versus essential information use. Especially inventive employments of chronicled information and genuine instances of filed examinations, alongside assets for those keen on authentic information, are given.

When using archival research, a researcher spent less time and money because he never directly interacts with participants. Also, specialists have zero command over what data was initially gathered. Consequently, research questions must be custom-made so they can be replied inside the design of the current informational indexes. There is additionally no assurance of consistency between the records starting with one source then onto the next, which could make looking into changed informational indexes dangerous.

References

Perrin, A. (2015). Social media usage. Pew research center, 125, 52-68.

McCoy Jr, T. H., & Perlis, R. H. (2018). Temporal Trends and Characteristics of Reportable Health Data Breaches, 2010-2017. JAMA, 320(12), 1282.