01:32:27

Meta-analysis 2.0 in the Language Sciences: Current Advances in Synthetic Methods | Interface 3

26:06

Generative Artificial Intelligence in Language Assessment | 15th Harvard-China Education Symposium

14:32

Partial and complete mediation in path analysis in Jamovi

31:40

Path analysis with mediation effects in Jamovi (with guidelines for writing journal articles)

25:14

Multicategorical X continuous variables interaction in linear regression

11:50

Multicategorical multiple linear regression analysis | part 2

12:17

Multicategorical multiple linear regression analysis | part 1

10:29

Linear regression with categorical variables | 3|

12:02

Linear regression with categorical variables | 2|

08:32

Linear regression with categorical variables | 1|

19:11

Calculating t-values for Pearson correlations

12:51

Linear mixed effect models in Jamovi | 4 | Fit and degrees of freedom

20:00

Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normality

21:17

Linear mixed effect models in Jamovi | 2 | REML & Random Intercepts

15:19

Linear mixed effect models in Jamovi | 1 | Introduction

22:52

Using the Flesch-Kincaid readability index in your research or assignments

14:56

Standard deviation, standard error of the mean, & confidence intervals

23:44

ANOVA in RStudio Part 2 | ANOVA, Model Fitting, Effect Size, Post-Hoc Analysis & Visualization

24:23

ANOVA in RStudio Part 1 | Visualization, Normality Assumption, Homogeneity of Variance

19:59

Independent samples t-test, Levene’s test, effect size, and normality in RStudio / R

24:12

Creating Boxplots in RStudio | ggplot library

01:25:59

Validity of automated scoring in the era of machine learning and big data | Interface 2

08:34

Getting Started with RStudio and R | Part 3

08:39

Getting Started with RStudio and R | Part 2

08:55

Getting Started with RStudio and R | Part 1

30:09

Cronbach's α and McDonald’s ω reliability coefficients in Jamovi | Theory and practice

30:00

Using Syntax in Structural Equation Modeling in Jamovi | Part 2

15:52

Using Syntax in Structural Equation Modeling in Jamovi | Part 1

12:51

Structural equation modeling using Jamovi | Part 2

34:17

Structural equation modeling using Jamovi | Part 1

01:52:43

Artificial intelligence, Neuroscience, and Validity | Interface 1

29:19

Multigroup Structural Equation Modeling in AMOS (an update)

25:29

Statistics and Machine Learning

29:45

Structural Equation Modeling of Latent Growth Curves with AMOS

42:56

The neuroscience of test taking

11:11

Task-based assessment vs competency-based assessment

51:33

Effects of Poverty on the Brain and Academic Performance

34:38

Machine Learning using Boosting Regression in JASP free software | Supervised learning

39:24

Structural equation modeling in free software JASP

16:24

Normality check, skewness, and kurtosis in free software JASP with references

29:00

Mixture Rasch model analysis with free software Jamovi

20:31

Latent class cluster analysis with free software Jamovi

26:55

Rasch model analysis in free software Jamovi

15:38

Independent samples t-test and Mann-Whitney U test in Jamovi

26:07

Normality, Skewness, Kurtosis, & Shapiro-Wilk normality test in Jamovi free software

18:24

Latent Growth Curve Modeling | Part 2 | Structural Equation Modeling

12:50

Latent Growth Curve Modeling | Part 1

22:37

Introducing Artificial Neural Networks in SPSS | Analysis and Interpretation

25:11

MIMIC structural equation modeling in AMOS | Multiple causes multiple indicators

25:55

How to do Multigroup Structural Equation Modeling using AMOS?

24:40

Structural equation modeling using AMOS

26:06

Item response theory made easy with user-friendly jMetrik software | 1PL, 2PL, 3PL & 4PL

21:40

Rasch measurement using user-friendly jMetrik | Powerful free software

23:03

The SPSS Item response theory (IRT) analysis | New

20:02

Rasch measurement using SPSS

27:54

Multidimensional Rasch measurement with ConQuest Software | A quick and effective guide

31:04

Rasch measurement for repeated measures and experimental designs | Stacking

32:49

Two-step clustering using SPSS | A quick and effective guide

26:09

Multiple and hierarchical linear regression in SPSS

30:36

Factor Analysis and Principal Component Analysis Using SPSS | A User-Friendly Guide