Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Surveys02:16

Surveys

16.6K
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.
16.6K
Convenience Sampling Method00:55

Convenience Sampling Method

11.0K
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...
11.0K
Data Collection II01:29

Data Collection II

9.6K
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...
9.6K
Stratified Sampling Method01:16

Stratified Sampling Method

14.6K
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. 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.
To choose a stratified sample, divide the population into groups called strata and then take a...
14.6K
Bias01:22

Bias

7.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.2K
Cluster Sampling Method01:20

Cluster Sampling Method

14.1K
Appropriate sampling methods ensure 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.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Lung Transplantation for Pulmonary Alveolar Proteinosis - a Retrospective International Multi-Center Analysis.

The European respiratory journal·2026
Same author

Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys.

Ophthalmic epidemiology·2023
Same author

Composition of <i>ex vivo</i> perfusion solutions and kinetics define differential cytokine/chemokine secretion in a porcine cardiac arrest model of lung preservation.

Frontiers in cardiovascular medicine·2023
Same author

Incidence of malignancies after lung transplantation and their effect on the outcome. 26 years' experience.

Heliyon·2023
Same author

Treatment of Staphylococcus aureus infection with sphingosine in ex vivo perfused and ventilated lungs.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation·2023
Same author

Introduction of machine perfusion of donor hearts in a single center in Germany.

International journal of cardiology. Heart & vasculature·2023

Related Experiment Video

Updated: Jan 19, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.1K

Interviewer Involvement in Sample Selection Shapes the Relationship Between Response Rates and Data Quality.

Stephanie Eckman, Achim Koch

    Public Opinion Quarterly
    |September 20, 2019
    PubMed
    Summary

    High survey response rates do not always mean low bias. For face-to-face surveys, the sampling method used significantly impacts this relationship, especially when interviewers select participants.

    More Related Videos

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
    08:27

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

    Published on: September 27, 2019

    7.2K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.7K

    Related Experiment Videos

    Last Updated: Jan 19, 2026

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
    10:39

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

    Published on: August 29, 2025

    1.1K
    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
    08:27

    Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

    Published on: September 27, 2019

    7.2K
    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
    07:43

    Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

    Published on: August 4, 2023

    2.7K

    Area of Science:

    • Social Sciences
    • Survey Methodology
    • Data Quality

    Background:

    • Existing research indicates a weak or non-existent association between high response rates and low bias in survey data.
    • The influence of response rates on survey bias may be context-dependent, particularly in face-to-face interviewing.

    Purpose of the Study:

    • To investigate how the type of sampling method moderates the relationship between response rates and selection bias in face-to-face surveys.
    • To develop and apply measures of selection bias to assess data quality in the European Social Survey.

    Main Methods:

    • Utilized data from Rounds 1-7 of the European Social Survey.
    • Developed two distinct measures for quantifying selection bias.
    • Constructed statistical models to analyze the effects of sampling method, response rate, and their interaction on selection bias.

    Main Results:

    • Identified a significant interaction effect between sampling method and response rate on selection bias.
    • In surveys where interviewers select households or respondents, high reported response rates were associated with increased selection bias.
    • This suggests that high response rates in such scenarios may indicate poor data quality rather than good.

    Conclusions:

    • The type of sampling method is a critical factor in understanding the link between response rates and survey bias.
    • Interviewer involvement in sample selection can create incentives that lead to biased samples, even with high response rates.
    • Researchers and practitioners should carefully consider sampling procedures to ensure data accuracy and minimize bias.