In psychometrics, an anchor test is a common set of test items administered in combination with two or more alternative forms of the test with the aim of establishing the equivalence of the test scores on the alternative forms. The purpose of the anchor test is to provide a baseline for an equating analysis between different forms of a test. Anchor test is one type of psychological assessment tool to measure an individual's knowledge or cognitive ability by testing the same areas in different ways. In psychometrics, to develop assessment tools that are reliable for testing certain skills and abilities are what most Psychometricists are interested in. Anchor tests are not intended to test the subject's ability to take tests, interpret questions, or understand a concept that is unrelated to the test questions. Instead, it eliminates the incongruency between what the test is designed to assess and what it actually assesses. Subjects will be tested on the same knowledge and skills in multiple ways in an anchor test. Compared with traditional tests in both education and psychology, anchor tests are intended to find out what an individual is able to do rather than what an individual is unable to do. A study examined that higher anchor test to total test correlation leads to better equating . It thus implies that an anchor test with items of medium difficulty (miditest) may lead to better equating than an Anchor test of lesser difficulty (minitest). (Wikipedia).
What is a t-test? Brief overview of the t value and test, using Excel for the calculations.
From playlist t-test
A silent video testing series for convergence or divergence using the comparison test
From playlist 242 spring 2012 exam 3
This test was based on NightHawkinLight's formula of Starlite.
From playlist NightHawkInLight Community Video Responses!
Live from the ATLAS Experiment
Find out more about the ATLAS Experiment and recent upgrades of the detector.
From playlist 360° videos
#26. What type of tailed test should be performed?
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #26. What type of tailed test should be performed?
From playlist Statistics Final Exam
What is a hypothesis test? The meaning of the null and alternate hypothesis, with examples. Overview of test statistics and confidence levels.
From playlist Hypothesis Tests and Critical Values
How to calculate Chi Square Test for Independence (two way)
Tutorial on how to calculate two way persons chi-square (test for independence).Chi square analysis is a method to determine if what you expect to get is what you observe. Like us on: http://www.facebook.com/PartyMoreStudyLess Playlist On Chi Square: http://www.youtube.com/course?list=EC
From playlist Chi Square Test
3_5_3 The Integral Test and Comaprison Tests
The integral test for convergence of a series
From playlist Advanced Calculus / Multivariable Calculus
3_5_1 The Integral Test and Comparison Tests
The integral test for convergence of a series.
From playlist Advanced Calculus / Multivariable Calculus
❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join How to implement YOLOv3 from scratch using Pytorch. If you prefer to read instead of watch there is also a written article: https://sannaperzon.medium.com/yolov3-implementation-with-training-setup-fro
From playlist PyTorch Tutorials
Ask Adam Savage: Shop Anchor Points
Tested Member Wayne Lewis wondered, "Kitchens have a common recipe of sink, fridge, range being anchor points that form a triangle. What are the anchor points in your shop and how do you arrange the space to move effectively during projects that require lots of movement?" Here's Adam's ans
From playlist Shop Infrastructure
CS224W: Machine Learning with Graphs | 2021 | Lecture 19.3 - Design Space of Graph Neural Networks
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2ZvXEBp Jure Leskovec Computer Science, PhD In previous lectures, we have discussed the important topic of GNN architecture design. Here, we introduce 3 key aspect
From playlist Stanford CS224W: Machine Learning with Graphs
Metric Learning for Images - Keras Code Examples
This video explains how to implement Metric Learning for Image Similarity Search in Keras! This is one of the most exciting areas of Deep Learning especially in applications such as Contrastive Self-Supervised Learning. You may also be interested in checking out a video I made taking apart
From playlist Keras Code Examples
29C3: Stabilitätsanker & Wachstumslokomotive (DE)
Speaker: Hans Huett Stabilitätsanker & Wachstumslokomotive geben als politische Metaphern ungewollt Auskunft über das Ausmaß der europäischen Wirtschafts- und Finanzkrise. Wie kommt so ein Begriff in Verkehr? Wer gebraucht ihn? Zu welchem Zweck? Was fördert die Analyse der Metaphern zutag
From playlist 29C3: Not my department
0321 [ MMO/MUD ] -- Refining NPC scripts
This is #321 in my series of live (Twitch) coding streams. This stream I got the essential parts of the NPC "guide" system working in my game. Notebook page: https://tinyurl.com/uggz4ga -- Watch live at https://www.twitch.tv/rhymu8354
From playlist Excalibur
https://sites.google.com/site/praxishelp/ Help on the pythagorean Theorem and the praxis 2 test from ETS.
From playlist Praxis Test Help
Marinka Zitnik (3/31/21): Graph representation learning and its applications to biomedicine
Title: Graph representation learning and its applications to biomedicine Abstract: The success of machine learning depends heavily on the choice of representations used for prediction tasks. Graph representation learning has emerged as a predominant choice for learning representations of
From playlist AATRN 2021
Haim Sompolinsky: "Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension"
Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Statistical Mechanics of Deep Manifolds: Mean Field Geometry in High Dimension" Haim Sompolinsky - The Hebrew University of Jerusalem Abstract: Recent advances in sys
From playlist Machine Learning for Physics and the Physics of Learning 2019
Solar panel performance shoot-out - Part 3
This is a performance test between two 55 watt solar panels, one is a monocrystalline and the other is an Amorphous / thin film panel.
From playlist Solar Panel Reviews, Testing and Experiments
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Contrastive Learning has been an established method in NLP and Image classification. The authors show that with relatively minor adjustments, CL can be used to augment and improve RL dramatically. Paper: https://arxiv.org/abs/2004.04136 Code: https://github.com/MishaLaskin/curl Abstract:
From playlist Reinforcement Learning