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Related Concept Videos

Archival Research01:40

Archival Research

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...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Data Collection II01:29

Data Collection II

The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
Data Collection I01:30

Data Collection I

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 data...
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Related Experiment Video

Updated: May 20, 2026

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
07:43

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

Atlantic DIP: subject recruitment, data collection, missing data management and analysis procedures.

G Avalos1, F P Dunne,

  • 1School of Medicine, Clinical Science Institute, National University of Ireland, Galway. gloria.avalos@nuigalway.ie

Irish Medical Journal
|July 31, 2012
PubMed
Summary
This summary is machine-generated.

This study details universal screening for gestational diabetes mellitus (GDM), covering recruitment, data collection, and analysis. It highlights the critical role of managing missing data in GDM research.

Related Experiment Videos

Last Updated: May 20, 2026

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
07:43

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop

Published on: July 2, 2018

Area of Science:

  • Obstetrics and Gynecology
  • Endocrinology
  • Clinical Research Methodology

Background:

  • Gestational diabetes mellitus (GDM) affects maternal and infant health.
  • Universal screening for GDM is increasingly adopted.
  • Efficient study processes are crucial for reliable GDM research.

Purpose of the Study:

  • To describe the practical experiences of conducting a universal GDM screening study.
  • To detail the subject recruitment and data collection procedures.
  • To emphasize the importance of data quality and handling missing data in GDM studies.

Main Methods:

  • Participant recruitment strategies for a GDM screening program.
  • Data collection protocols, including data entry, editing, and quality assurance.
  • Statistical analysis approaches for GDM screening data, addressing missing values.

Main Results:

  • Experiences and challenges encountered during subject recruitment.
  • Observations on the effectiveness of data collection and quality assurance processes.
  • Insights into the impact and management of missing data in the GDM study.

Conclusions:

  • Effective subject recruitment is vital for successful GDM screening studies.
  • Robust data collection and quality assurance are essential for accurate GDM research.
  • Proactive management of missing data is critical for valid statistical analysis in GDM studies.