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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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Case Studies01:22

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Censoring Survival Data01:09

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Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Cross-Sectional Research01:50

Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Related Experiment Video

Updated: Dec 22, 2025

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
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Scholarship During a Pandemic: Secondary Data Analysis.

Darrell Spurlock

    The Journal of Nursing Education
    |May 1, 2020
    PubMed
    Summary

    The COVID-19 pandemic necessitates nurse researchers utilize secondary data analysis for knowledge generation. This methodology offers vital alternatives when in-person research is impossible due to social distancing.

    Area of Science:

    • Nursing Education Research
    • Public Health Crises
    • Research Methodology

    Background:

    • The COVID-19 pandemic significantly disrupted higher education globally.
    • Campus closures and social distancing created challenges for nursing research requiring participant interaction.

    Purpose of the Study:

    • To provide an overview of secondary data analysis for nurse researchers.
    • To identify resources for locating secondary data.
    • To advocate for the increased use of secondary data analysis in nursing education research.

    Main Methods:

    • The study provides a methodological overview of secondary data analysis.
    • It describes resources for accessing existing datasets relevant to nursing research.

    Main Results:

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    • Secondary data analysis offers a viable alternative for knowledge generation during the pandemic.
    • Numerous resources exist to support nurse researchers in utilizing secondary data.

    Conclusions:

    • Secondary data analysis is an essential tool for nursing education researchers facing unprecedented challenges.
    • This approach must become more prominent in the researcher's toolkit during public health emergencies.