Vahid Aryadoust, PhD
Hi there! Welcome to Statistics and Theory, a YouTube channel dedicated to promoting and propagating anything scientific about language in general and quantitative and assessment methods in particular.
You will find a range of videos on topics such as language comprehension, language production, quantitative techniques, and language testing methods that will be of interest to the general public and/or specialists.
In addition, there are three types of memberships available. Through your membership, you will support the channel and have a better chance to discuss your research questions, study design, and publication questions with us.
As always, please free to contact me if you have any questions :-)
Best wishes,
Vahid Aryadoust
Statistics & Theory
GPT-Powered Speaking Examiner: системы устного диалога на основе LLM для оценки языка
Pausing, Language, and the Brain: L2 Speaking and Writing Explained | Interface 5
ChatGPT-4o vs. ChatGPT-o1 vs. Statistical Software: Mean, SD, Skewness, & Kurtosis
Reliability analysis (update) 4 | McDonald's ω vs Cronbach's α
Large language models, foundation models, and NLP | Basic introduction
Reliability analysis (update) 3 | Internal reliability: Cronbach's alpha
Reliability analysis (update) 2 | Internal reliability: Cronbach's alpha
Reliability analysis (update) 1 | External reliability over time, forms, & raters
Machine Learning Workshop Part 2 | Neural Networks & Regression
ChatGPT-4o vs. ChatGPT-o1 vs. Traditional Software: Regression Showdown!
What is “research waste” in applied linguistics research? | Interface 4
Machine Learning Workshop Part 1 | Linear Regression with JASP
The Mode and median | Knowledge bites #3
What is the mean of a sample? | Knowledge bites 2
Population and Sample | Knowledge Bites 1
Meta-analysis 2.0 in the Language Sciences: Current Advances in Synthetic Methods | Interface 3
Generative Artificial Intelligence in Language Assessment | 15th Harvard-China Education Symposium
Partial and complete mediation in path analysis in Jamovi
Анализ пути с посредническими эффектами в Jamovi (с рекомендациями по написанию журнальных статей)
Multicategorical X continuous variables interaction in linear regression
Multicategorical multiple linear regression analysis | part 2
Multicategorical multiple linear regression analysis | part 1
Linear regression with categorical variables | 3|
Linear regression with categorical variables | 2|
Linear regression with categorical variables | 1|
Calculating t-values for Pearson correlations
Linear mixed effect models in Jamovi | 4 | Fit and degrees of freedom
Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normality
Linear mixed effect models in Jamovi | 2 | REML & Random Intercepts