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Related Concept Videos

Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Data Collection by Experiments01:13

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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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Data Collection by Survey01:07

Data Collection by Survey

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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...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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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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Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Updated: Dec 31, 2025

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
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mobileQ: A free user-friendly application for collecting experience sampling data.

Kristof Meers1, Egon Dejonckheere2, Elise K Kalokerinos3

  • 1Faculty of Psychology and Educational Sciences, KU Leuven, Leuven, Belgium. kristof.meers@kuleuven.be.

Behavior Research Methods
|January 4, 2020
PubMed
Summary
This summary is machine-generated.

mobileQ is a free, open-source platform for experience sampling studies. It offers a user-friendly interface and dedicated research phones, reducing barriers for researchers conducting valuable experience sampling research.

Keywords:
Experience samplingOpen sourceSmartphones

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Area of Science:

  • Psychological research methods
  • Mobile health technology
  • Open-source software development

Background:

  • Experience sampling methods (ESM) are valuable for real-time data collection but often lack accessible, free software options.
  • Existing ESM tools may require advanced programming skills or incur significant costs, limiting broader adoption.
  • The need for user-friendly, cost-effective solutions for conducting ESM studies is increasing.

Purpose of the Study:

  • To introduce mobileQ, a novel, free, open-source platform designed for experience sampling studies.
  • To address the gap in accessible software for researchers conducting ESM.
  • To provide a comprehensive overview of mobileQ's features, setup, and resources.

Main Methods:

  • Development of a free, open-source platform named mobileQ.
  • Inclusion of freely available servers, a web interface, and an Android application.
  • Implementation of a point-and-click interface requiring no high-level programming.
  • Design for use on dedicated research phones to ensure experimenter control and minimize selection bias.

Main Results:

  • mobileQ provides a complete, accessible solution for experience sampling studies.
  • The platform features a user-friendly interface, reducing the technical barrier for researchers.
  • Dedicated research phones enable controlled data collection and mitigate selection bias.
  • Successful implementation of mobileQ in laboratory studies has been demonstrated.

Conclusions:

  • mobileQ effectively lowers the barrier to entry for conducting experience sampling research.
  • The platform offers a robust, free, and open-source alternative to existing ESM software.
  • mobileQ facilitates controlled and unbiased data collection through dedicated research phones.