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Related Concept Videos

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 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...
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 by Experiments01:13

Data Collection by Experiments

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 clinical trial...
Data Collection by Observations01:08

Data Collection by Observations

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...
Data Collection III01:05

Data Collection III

The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.

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Related Experiment Video

Updated: May 11, 2026

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
08:33

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

Preparing and conducting interviews to collect data.

Owen Doody1, Maria Noonan

  • 1Department of Nursing and Midwifery, University of Limerick, Ireland. owen.doody@ul.ie

Nurse Researcher
|May 22, 2013
PubMed
Summary
This summary is machine-generated.

Interviews are a common qualitative data collection method. Successful interviews require researchers to master interview techniques, select appropriate methods, and meticulously plan the entire process.

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Related Experiment Videos

Last Updated: May 11, 2026

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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Published on: September 4, 2019

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Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments

Published on: August 8, 2019

Area of Science:

  • Qualitative Research Methods
  • Data Collection Techniques

Background:

  • Interviews are a widely used data collection approach in research studies.
  • They are particularly effective for exploring participants' experiences and uncovering underlying narratives.
  • Effective interview data collection necessitates careful planning and format determination.

Purpose of the Study:

  • To delineate three distinct interview styles: structured, unstructured, and semi-structured.
  • To discuss critical considerations for planning and executing interviews effectively.
  • To support students and novice researchers in developing essential interview skills.

Main Methods:

  • A literature review was conducted, focusing on peer-reviewed English-language publications.
  • Included papers specifically addressed structured, unstructured, and semi-structured interview methodologies.

Main Results:

  • Interviews are a cornerstone of qualitative data collection.
  • Proficiency in conducting interviews develops with experience and practice.
  • Consultation with peers and critical appraisal of recorded interviews enhance researcher skills.

Conclusions:

  • A thorough understanding of interview methods and their applicability is crucial for researchers.
  • Developing strong interview techniques, selecting the appropriate method, and comprehensive planning are key to successful data collection.
  • Continuous learning and seeking feedback are vital for refining interview skills.