Survey methodology | Experimental bias
Response bias is a general term for a wide range of tendencies for participants to respond inaccurately or falsely to questions. These biases are prevalent in research involving participant self-report, such as structured interviews or surveys. Response biases can have a large impact on the validity of questionnaires or surveys. Response bias can be induced or caused by numerous factors, all relating to the idea that human subjects do not respond passively to stimuli, but rather actively integrate multiple sources of information to generate a response in a given situation. Because of this, almost any aspect of an experimental condition may potentially bias a respondent. Examples include the phrasing of questions in surveys, the demeanor of the researcher, the way the experiment is conducted, or the desires of the participant to be a good experimental subject and to provide socially desirable responses may affect the response in some way. All of these "artifacts" of survey and self-report research may have the potential to damage the validity of a measure or study. Compounding this issue is that surveys affected by response bias still often have high reliability, which can lure researchers into a false sense of security about the conclusions they draw. Because of response bias, it is possible that some study results are due to a systematic response bias rather than the hypothesized effect, which can have a profound effect on psychological and other types of research using questionnaires or surveys. It is therefore important for researchers to be aware of response bias and the effect it can have on their research so that they can attempt to prevent it from impacting their findings in a negative manner. (Wikipedia).
This lesson reviews sources of bias when conducting a survey or poll. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Statistics Lesson #4: Sources of Bias
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). I define bias, and we look at examples of different types of bias, including voluntary response bias, leading question bias, and sampling bias. I hope this is helpful! Timestamps: 0:00
From playlist Statistics
Linear regression (5): Bias and variance
Inductive bias; variance; relationship to over- & under-fitting
From playlist cs273a
Hindsight Bias in the Classroom – Why Learning Statistics is Harder Than it Looks (0-3)
Hindsight Bias is the inclination to see events that have already occurred, as being more predictable than they were before they took place. We tend to look back on events as being simple and something that we might have already known. Hindsight bias often occurs in statistics class when y
From playlist Statistics Course Introduction
Sample bias: Response, Voluntary Response, Non-Response, Undercoverage, and Wording of Questions
From playlist Unit 4: Sampling and Experimental Design
Confirmation Bias - Definition, Examples and How to Avoid - Psychology Motovlog
Learn the definition of the confirmation bias and understand examples of this cognitive bias in this informative video. The confirmatory bias is a very common flaw and can be found almost everywhere. There are a few tips you can use to avoid this common logical flaw in your daily thinking,
From playlist Cognitive Biases
Survivorship Bias - Examples, Definitions, and String Art - Cognitive Biases
The Survivor Bias, also know as the survival or survivorship bias, is a commonly committed cognitive bias in the field of business and science. When people make assumptions from data without understanding where all the data is coming from, they are falling victim to a great example of a su
From playlist Cognitive Biases
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Prob & Stats - Bayes Theorem (2 of 24) What is the Sensitivity of a Test?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is and give examples of the sensitivity of a test. The sensitivity of a test indicates the probability that the subject will have a POSITIVE result when the subject is actually POSITIVE.
From playlist PROB & STATS 4 BAYES THEOREM
Algorithmic bias in healthcare AI: Scientific accuracy and social justice
This webinar will address a key social and ethical concern for Artificial Intelligence (AI) applications in healthcare: algorithmic bias, which occurs when automated decision-making results in a pattern of unfair or inequitable outcomes. In this webinar, we will present preliminary finding
From playlist Rachel Thomas videos
STAT 200 Lesson 1 Lecture Video
Table of Contents: 00:00 - Introduction 00:52 - Learning Objectives 01:24 - 1. Identify cases and variables in a research study 02:30 - 2. Classify variables as categorical or quantitative 05:35 - 3. Identify explanatory and response variables in a research study 07:25 - 4. Distinguish b
From playlist STAT 200 Video Lectures
Examples of Selection Bias - Causal Inference
Today I talk about several distinct examples of selection bias.
From playlist Causal Inference - The Science of Cause and Effect
Statistics - 1.4 Critiquing a Published Study
We wrap up chapter 1 with how to critique a published study. Sorry for the boring video. You might just read this section instead. Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/kbrehm_bellevue_edu/Efhkc7f_gR1PoagzWR3mOxUBD8gCu7Q65lhBS2SK5W8bMQ?e=2850Vq This pl
From playlist Applied Statistics (Entire Course)
Example of under coverage introducing bias | Study design | AP Statistics | Khan Academy
Example of undercoverage introducing bias. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/gathering-data-ap/sampling-observational-studies/v/example-of-under-coverage-introducing-bias?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics
From playlist Study design | AP Statistics | Khan Academy
Techniques for random sampling and avoiding bias | Study design | AP Statistics | Khan Academy
Techniques for random sampling and avoiding bias. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/gathering-data-ap/sampling-methods/v/techniques-for-random-sampling-and-avoiding-bias?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics
From playlist Study design | AP Statistics | Khan Academy
Examples of bias in surveys | Study design | AP Statistics | Khan Academy
Examples of bias in surveys. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/gathering-data-ap/sampling-observational-studies/v/examples-of-bias-in-surveys?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Acade
From playlist Study design | AP Statistics | Khan Academy
Sampling Techniques & Cautions (Full Length)
I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census. I introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. I discuss Stratified Random S
From playlist AP Statistics
Other Sample Types and Biased Samples
Voluntary response and convenience sampling, and biased samples
From playlist Unit 4: Sampling and Experimental Design