Single-subject research is a group of research methods that are used extensively in the experimental analysis of behavior and applied behavior analysis with both human and non-human participants. This research strategy focuses on one participant and tracks their progress in the research topic over a period of time. Single-subject research allows researchers to track changes in an individual over a large stretch of time instead of observing different people at different stages. This type of research can provide critical data in several fields, specifically psychology. It is most commonly used in experimental and applied analysis of behaviors. This research has been heavily debated over the years. Some believe that this research method is not effective at all while others praise the data that can be collected from it. Principal methods in this type of research are: A-B-A-B designs, Multi-element designs, Multiple Baseline designs, Repeated acquisition designs, Brief experimental designs and Combined designs. These methods form the heart of the data collection and analytic code of behavior analysis. Behavior analysis is data driven, inductive, and disinclined to hypothetico-deductive methods. (Wikipedia).
What is Multivariate Testing? | Data Science in Minutes
In this tutorial, we will explain: how a multivariate test differs from an A/B Test, how to create and conduct a multivariate test, and what questions you should be asking of your test. Multivariate testing is a technique for testing a hypothesis in which multiple variables are modified.
From playlist Data Science in Minutes
Testing and Online Experimentation
Join Data Science Dojo and Statsig for a conversation on experimentation and testing. Learn how leading companies like Facebook use experimentation to build better products and accelerate their growth with 10x as much testing. Web experimentation can range from simple projects like design
From playlist A/B Testing & Beyond
Statistics Lesson #3: Randomized Experiments & Observational Studies
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). I define a randomized experiment, show a couple of examples, and define some important vocabulary related to experiments. Then I define an observational study, give an example, and discu
From playlist Statistics
Biomedical Data Science Initiative at Stanford
From population health to personalized medicine, from modeling atoms to modeling the atmosphere, the Stanford Biomedical Data Science Initiative seeks to use large scale computing and data analysis to improve human health. It brings Stanford's legendary technology innovation to the frontie
From playlist Stanford Medicine
What is the difference between theoretical and experimental physics?
Subscribe to our YouTube Channel for all the latest from World Science U. Visit our Website: http://www.worldscienceu.com/ Like us on Facebook: https://www.facebook.com/worldscienceu Follow us on Twitter: https://twitter.com/worldscienceu
From playlist Science Unplugged: Physics
I Do My Own RESEARCH - Introducing Statistical Research (1-2)
One sample tests will be our first real hypothesis tests. We will begin by reviewing the basics of statistics that we covered in this course to see how they will be combined to form hypothesis testing. Then we review the Five Steps of Hypothesis Testing that we learned last time. Finally,
From playlist From Numbers to Variables to Data in Statistics (WK 1 - QBA 237)
Research Methods of Biopsychology
With some information regarding the organization of neurons and neural pathways, we are ready to start getting into some deeper topics. But before we do that, it will be useful to get a general sense of precisely how we learn about the things we will be discussing. The brain is complicated
From playlist Biopsychology
Fundamentals of Qualitative Research Methods: What is Qualitative Research (Module 1)
Qualitative research is a strategy for systematic collection, organization, and interpretation of phenomena that are difficult to measure quantitatively. Dr. Leslie Curry leads us through six modules covering essential topics in qualitative research, including what is qualitative research
From playlist Fundamentals of Qualitative Research Methods
Controlled Experiments: Crash Course Statistics #9
We may be living IN a simulation (according to Elon Musk and many others), but that doesn't mean we don't need to perform simulations ourselves. Today, we're going to talk about good experimental design and how we can create controlled experiments to minimize bias when collecting data. We'
From playlist Statistics
Sociology Research Methods: Crash Course Sociology #4
Today we’re talking about how we actually DO sociology. Nicole explains the research method: form a question and a hypothesis, collect data, and analyze that data to contribute to our theories about society. Crash Course is made with Adobe Creative Cloud. Get a free trial here: https://ww
From playlist Sociology
Subject- vs. group-level analyses
This video lesson is part of a complete course on neuroscience time series analyses. The full course includes - over 47 hours of video instruction - lots and lots of MATLAB exercises and problem sets - access to a dedicated Q&A forum. You can find out more here: https://www.udemy.
From playlist NEW ANTS #5) Permutation-based statistics
ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)
#ai #language #knowledge Large Language Models have the ability to store vast amounts of facts about the world. But little is known, how these models actually do this. This paper aims at discovering the mechanism and location of storage and recall of factual associations in GPT models, a
From playlist Papers Explained
Danilo Bzdok: "Algorithmic Analytics towards Precision Psychiatry"
Computational Psychiatry 2020 "Algorithmic Analytics towards Precision Psychiatry" Danilo Bzdok - McGill University Abstract: Neuroscience datasets are constantly increasing in resolution, sample size, multi-modality, and meta-information complexity. This opens the brain imaging field to
From playlist Computational Psychiatry 2020
Master Class in Visual Storytelling, Led by Dr. Zuberoa Marcos
The Franke Program in Science and the Humanities is pleased to announce an exciting new contest that is open to the entire Yale community. Have you ever wondered and thought about new and simple ways to explain what a virus is, what a black hole is, what causes a volcano to erupt, what h
From playlist Franke Program in Science and the Humanities
Psych 9A. Psych Fundamentals. Lecture 03: Research Methods
UCI Psych 9A: Psych Fundamentals (Winter 2014) Lec 03. Psych Fundamentals -- Research Methods -- View the complete course: http://ocw.uci.edu/courses/psych_9a_psychology_fundamentals.html Instructor: Thomas Michael D'Zmura, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw
From playlist Psych 9A: Psych Fundamentals
2. Cyber Network Data Processing; AI Data Architecture
MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020 Instructor: Jeremy Kepner, Vijay Gadepally View the complete course: https://ocw.mit.edu/RES-LL-005IAP20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62uI_DWNdWoIMsgPcLGOx-V This lecture started wi
From playlist MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020
(January 23, 1997) David Kennedy discusses how to give an effective and informative lecture and explains what these lectures should strive to achieve. He describes how his classroom operates and discusses many of the goals teachers should have when educating students. Stanford University
From playlist Feature | Center for Teaching and Learning
Research Methodology for Beginners || Research Methodology Lecture
Research methodology is the specific procedures or techniques used to identify, select, process, and analyze information about a topic. In a research paper, the methodology section allows the reader to critically evaluate a study's overall validity and reliability. In this course you w
From playlist Research Method
Synthesis Workshop: Synthesis of Cardiotonic Steroids with Dr. Zachary Fejedelem (Episode 78)
In this Research Spotlight episode, we're joined by Dr. Zachary Fejedelem (Nagorny lab doctoral alumnus, University of Michigan), who shares with us his work on the synthesis of the cardiotonic steroids oleandrigenin and rhodexin B. Key reference: J. Org. Chem. 2021, 86, 10249−10262. http
From playlist Research Spotlights