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Machine Learning Workshop Part 2 | Neural Networks & Regression
01:57:45
ChatGPT-4o vs. ChatGPT-o1 vs. Traditional Software: Regression Showdown!
00:15:00
What is “research waste” in applied linguistics research? | Interface 4
01:27:12
Machine Learning Workshop Part 1 | Linear Regression with JASP
01:53:53
The Mode and median | Knowledge bites #3
00:02:36
What is the mean of a sample? | Knowledge bites 2
00:02:18
Population and Sample | Knowledge Bites 1
00:01:49
Meta-analysis 2.0 in the Language Sciences: Current Advances in Synthetic Methods | Interface 3
01:32:27
Generative Artificial Intelligence in Language Assessment | 15th Harvard-China Education Symposium
00:26:06
Partial and complete mediation in path analysis in Jamovi
00:14:32
Path analysis with mediation effects in Jamovi (with guidelines for writing journal articles)
00:31:40
Multicategorical X continuous variables interaction in linear regression
00:25:14
Multicategorical multiple linear regression analysis | part 2
00:11:50
Multicategorical multiple linear regression analysis | part 1
00:12:17
Linear regression with categorical variables | 3|
00:10:29
Linear regression with categorical variables | 2|
00:12:02
Linear regression with categorical variables | 1|
00:08:32
Calculating t-values for Pearson correlations
00:19:11
Linear mixed effect models in Jamovi | 4 | Fit and degrees of freedom
00:12:51
Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normality
00:20:00
Linear mixed effect models in Jamovi | 2 | REML & Random Intercepts
00:21:17
Linear mixed effect models in Jamovi | 1 | Introduction
00:15:19
Using the Flesch-Kincaid readability index in your research or assignments
00:22:52
Standard deviation, standard error of the mean, & confidence intervals
00:14:56
ANOVA in RStudio Part 2 | ANOVA, Model Fitting, Effect Size, Post-Hoc Analysis & Visualization
00:23:44
ANOVA in RStudio Part 1 | Visualization, Normality Assumption, Homogeneity of Variance
00:24:23
Independent samples t-test, Levene’s test, effect size, and normality in RStudio / R
00:19:59
Creating Boxplots in RStudio | ggplot library
00:24:12
Validity of automated scoring in the era of machine learning and big data | Interface 2
01:25:59
Getting Started with RStudio and R | Part 3
00:08:34