Related Experiment Video
Updated: Oct 1, 2025
06:55
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
14.7K
Should samples be weighted to decrease selection bias in online surveys during the COVID-19 pandemic? Data from seven
Chadia Haddad1,2, Hala Sacre3, Rony M Zeenny3,4
1INSPECT-LB (Institut National de Santé Publique, d'Épidémiologie Clinique et de Toxicologie-Liban), Beirut, Lebanon. Chadia_9@hotmail.com.
BMC Medical Research Methodology
|March 7, 2022
Summary
Weighting methods in online surveys should be used cautiously. While they can adjust for sample biases, their impact on findings varies, necessitating careful consideration and further research for optimal application.
Area of Science:
- Social Sciences
- Statistics
- Survey Methodology
Background:
- Online surveys are widely used but face scrutiny regarding scientific validity.
- Weighting methods are debated for their effectiveness in improving online survey data quality.
- This study investigates the impact of weighting on association measures in online surveys.
Purpose of the Study:
- To compare weighted and unweighted association measures in online surveys.
- To assess the influence of dataset properties on the effectiveness of weighting methods.
- To provide insights into the cautious application of weighting in online survey research.
Main Methods:
- Analysis of seven online cross-sectional survey datasets (2019-2021) collected during the COVID-19 pandemic.
- Application of weighting methods to adjust online samples for sociodemographic features.
- Comparison of weighted and unweighted association measures after adjusting for potential confounders.
Main Results:
- Weighting showed varying effects on association measures across different datasets and variables.
- Sample size, age gap, and gender gap significantly influenced the absolute impact of weighting.
- Regression analysis revealed substantial differences between weighted and unweighted results for certain variables.
Conclusions:
- Weighting methods in online surveys require cautious application due to inconsistent effects.
- The benefit of weighting is dataset-dependent and influenced by sample characteristics.
- Further research is needed to identify specific conditions where weighting enhances online survey findings.
Related Concept Videos
01:29Bias in Epidemiological Studies
752
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
752
02:16Surveys
16.1K
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.
16.1K
01:22Bias
5.7K
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...
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...
5.7K
01:25Statistical Methods for Analyzing Epidemiological Data
587
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:
587
00:57Weighted Mean
5.6K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
5.6K
01:09Random Sampling Method
12.7K
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. Among the various sampling methods used by...
12.7K