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Related Concept Videos

Archival Research01:40

Archival Research

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Data Collection by Observations01:08

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Study Design in Statistics01:15

Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
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Secondary Data Analysis: Using existing data to answer new questions.

Michelle M Kelly1, Tasha Martin-Peters2, Jessica Strohm Farber3

  • 1Villanova University, M. Louise Fitzpatrick College of Nursing.

Journal of Pediatric Health Care : Official Publication of National Association of Pediatric Nurse Associates & Practitioners
|April 1, 2024
PubMed
Summary
This summary is machine-generated.

Secondary data analysis offers an efficient way to answer new research questions using existing data. This method, encompassing both quantitative and qualitative approaches, benefits researchers of all experience levels.

Keywords:
Clinical researchresearch methodsecondary data analysis

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Area of Science:

  • Health Services Research
  • Biostatistics
  • Data Science

Background:

  • Secondary data analysis leverages existing datasets for novel research, offering a cost-effective and efficient approach.
  • It provides access to extensive information for addressing new research questions without primary data collection.

Purpose of the Study:

  • To provide a comprehensive overview of the secondary data analysis process.
  • To highlight the inherent benefits and limitations of this research methodology.
  • To illustrate the application of secondary data analysis through a pediatric research example.

Main Methods:

  • The manuscript outlines the procedural steps involved in conducting secondary data analysis.
  • It discusses the advantages, such as reduced cost and time, and potential drawbacks, like data quality issues.
  • A case study in pediatric research using a public dataset demonstrates the practical implementation.

Main Results:

  • The presented exemplar showcases the application of secondary data analysis in pediatric research.
  • Utilizing a publicly available dataset facilitates a clear understanding of the analytical process.
  • The analysis demonstrates the feasibility and value of secondary data in generating new insights.

Conclusions:

  • Both novice and experienced researchers can gain valuable insights from secondary data analysis.
  • Exploring quantitative and qualitative secondary data analysis options is recommended for expanding research capabilities.
  • This method empowers researchers to efficiently answer new questions and contribute to scientific knowledge.