Design of experiments

Observer-expectancy effect

The observer-expectancy effect (also called the experimenter-expectancy effect, expectancy bias, observer effect, or experimenter effect) is a form of reactivity in which a researcher's cognitive bias causes them to subconsciously influence the participants of an experiment. Confirmation bias can lead to the experimenter interpreting results incorrectly because of the tendency to look for information that conforms to their hypothesis, and overlook information that argues against it. It is a significant threat to a study's internal validity, and is therefore typically controlled using a double-blind experimental design. It may include conscious or unconscious influences on subject behavior including creation of demand characteristics that influence subjects, and altered or selective recording of experimental results themselves. (Wikipedia).

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Astrology: Fact or Fiction?

A significant percentage of the population believes in astrology. This is the notion that the positions of the stars and planets in the sky at the moment of your birth have an influence on your characteristics, and that their positions over time influence daily events. Can this be possible

From playlist Astronomy/Astrophysics

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Public Conference 2 - M. Devoret - PRACQSYS 2018 - CEB T2 2018

Michel Devoret (Applied Physics, Yale University) / 03.07.2018 The "observer effect" in quantum mechanics / L' "effet observateur" en mécanique quantique Abstract: In general, measuring the property of a physical system changes that system. This is often the result of instruments that,

From playlist 2018 - T2 - Measurement and Control of Quantum Systems: Theory and Experiments

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Observational Studies - Causal Inference

Today I talk about how observational studies are great examples of when causation does not equal association by visiting a real world example. The next videos will explore how we extract causal information from observational studies

From playlist Causal Inference - The Science of Cause and Effect

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Observing the Sun | Total Solar Eclipse | Exploratorium

For astronomers and eclipse watchers in general, a total solar eclipse provides an excellent opportunity to study the sun in detail. Exploratorium astronomer and educator, Dr.Isabel Hawkins, takes us through a brief history of viewing the sun - from ancient Chinese astronomers using jade

From playlist Total Solar Eclipse

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The Star of the Eclipse: The Sun | Total Solar Eclipse | Exploratorium

There are many highlights to a total solar eclipse. Whether observing on the path of totality or enjoying the Exploratorium programs online, the sun presents various features to notice during all phases of an eclipse. Exploratorium astronomer, Isabel Hawkins points out these phenomena and

From playlist Total Solar Eclipse

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Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

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Fixed Effects and Random Effects

Brief overview in plain English of the differences between the types of effects. Problems with each model and how to overcome them.

From playlist Experimental Design

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Expected Frequency

More resources available at www.misterwootube.com

From playlist Relative Frequency and Probability

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Observing the Sun | Total Solar Eclipse | Exploratorium

For astronomers and eclipse watchers in general, a total solar eclipse provides an excellent opportunity to study the sun in detail. As millions of people travel to witness the total solar eclipse as it traverses the United States on August 21, 2017, we are reminded that humans have alway

From playlist Total Solar Eclipse 2006-2017

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Mod-01 Lec-19 Defect Structure & Mechanical Behaviour of Nanomaterials

Nanostructures and Nanomaterials: Characterization and Properties by Characterization and Properties by Dr. Kantesh Balani & Dr. Anandh Subramaniam,Department of Nanotechnology,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.

From playlist IIT Kanpur: Nanostructures and Nanomaterials | CosmoLearning.org

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14. Causal Inference, Part 1

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag discusses causal inference, examples of causal q

From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019

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Average Treatment Effects: Introduction

Professor Stefan Wager presents an introduction to average treatment effects and randomized trials.

From playlist Machine Learning & Causal Inference: A Short Course

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Testing whether trait divergence is neutral by Bruce Walsh

Second Bangalore School on Population Genetics and Evolution URL: http://www.icts.res.in/program/popgen2016 DESCRIPTION: Just as evolution is central to our understanding of biology, population genetics theory provides the basic framework to comprehend evolutionary processes. Population

From playlist Second Bangalore School on Population Genetics and Evolution

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Conditional Average Treatment Effects: Overview

Professor Susan Athey presents an introduction to heterogeneous treatment effects and causal trees.

From playlist Machine Learning & Causal Inference: A Short Course

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15. Causal Inference, Part 2

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j This is the 2020 version of the lecture delivered via Zoom, d

From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019

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Dark Matter in Astrophysics by Aseem Paranjape

DISCUSSION MEETING PARTICLE PHYSICS: PHENOMENA, PUZZLES, PROMISES ORGANIZERS: Amol Dighe, Rick S Gupta, Sreerup Raychaudhuri and Tuhin S Roy, Department of Theoretical Physics, TIFR, India DATE: 21 November 2022 to 23 November 2022 VENUE: Ramanujan Lecture Hall and Online While the LH

From playlist Particle Physics: Phenomena, Puzzles, Promises - (Edited)

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Gravitational Lensing of Gravitational Waves: A New Probe of Primordial Black Holes by P. Ajith

PROGRAM LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan

From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE

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Mod-01 Lec-18 Defect Structure & Mechanical Behaviour of Nanomaterials

Nanostructures and Nanomaterials: Characterization and Properties by Characterization and Properties by Dr. Kantesh Balani & Dr. Anandh Subramaniam,Department of Nanotechnology,IIT Kanpur.For more details on NPTEL visit http://nptel.ac.in.

From playlist IIT Kanpur: Nanostructures and Nanomaterials | CosmoLearning.org

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Teach Astronomy - Apparent Brightness

http://www.teachastronomy.com/ Apparent Brightness in astronomy is the number of photons per second collected at the Earth from an astronomical source. It depends on three things: First, the collecting area of the device used to observe the source of light. In the case of a telescope, t

From playlist 14. Stars

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Hundred Years of Gravitational Lensing (ONLINE) by Parameswaran Ajith

Vigyan Adda Hundred Years of Gravitational Lensing (ONLINE) Speaker: Parameswaran Ajith (ICTS-TIFR, Bengaluru) When:4:30 pm to 6:00 pm Sunday, 28 February 2021 Where: Livestream via the ICTS YouTube channel Abstract:- Gravitational bending of light was the first observational test tha

From playlist Vigyan Adda

Related pages

Epistemic feedback | Allegiance bias | Central limit theorem | Publication bias | Reinforcement learning | Experiment | Observer bias | Confirmation bias | Internal validity | Cognitive bias | Elementary arithmetic | Demand characteristics