13:16

Best Worst Method (MCDM)

11:19

Mplus-26 Multilevel Mediation Part-2 Working on MLM Mediation

12:29

Mplus-25 Multilevel Mediation Part-1 Saving Construct scores and creating level-2 variables

15:43

Mplus-24 Computing Agreement and Reliability Measures ICC rwg awg Part-2

27:06

Online Workshop on DeMaTEL Part--3 Fuzzy DeMaTEL- Concept and working

34:57

Online Workshop on DeMaTEL Part-2 Making chart in Excel and discussion of a paper

28:30

Online Workshop on DeMaTEL Part-1 Data Collection from Experts and Working on R-Studio

20:36

Online Workshop on ISM Part-8 Discussion on paper Fuzzy Interpretive Structural Modeling

25:58

Online Workshop on ISM Part-7 Fuzzy Interpretive Structural Modeling- Computations

29:26

Online Workshop on ISM Part-6 Fuzzy Interpretive Structural Modeling- Preparation of Fuzzy Table

31:16

Online Workshop on ISM Part-5 Total Interpretive Structural Modeling (TISM) & Discussion on papers

28:24

Online Workshop on ISM Part-4 (Table-5 Canonical Matrix and Table -6 Reduced Canonical Matrix)

27:33

Online Workshop on ISM Part-3 (Level Partitioning)

13:18

Online Workshop on ISM Part-2 (Preparing Table -2 Initial & Table-3 Final Reachability Matrix)

33:53

Online Workshop on ISM Part-1 (ISM concept, data collection & Initial Reachability Matrix)

06:01

Meta-SEM-5.2 Computation of Combined Mean and Combined Sigma

04:34

Meta-SEM-8 Mediation Analysis in Meta SEM

05:37

Meta Analysis vs Meta SEM Part-2

11:05

Template Objectives for PhD Proposal

10:23

SmartPLS v4 (14) Model Comparison between LOC and HOC

09:09

A Brief Introduction to my playlists on Text Analysis

05:10

Quanteda-12. Visualization of words in each Topic

11:49

Quanteda-11. Determining Number of Topics

06:07

Python 10 Text Analysis

06:35

Python 9 Use of AI to run the Cross tab and Logistics Regression

05:43

Python 8 Hypothesis Testing One way ANOVA

09:53

Python 7 Hypothesis-Testing t-test

05:08

Python 6 Bivariate Analysis Regression (Simple and Multiple)

05:11

Python 5 Bivariate Analysis Spearman and Kendall tau Correlation

05:44

Python 4 Bivariate Analysis Correlation

06:33

Python 3 Univariate Analysis

09:05

Python 2 Data Handling

09:52

Python 1 Introduction and File Import

12:32

fsQCA-4 Reporting fsQCA results

13:48

fsQCA-3 Truth Table

14:16

fsQCA-2 Data conversion

09:01

fsQCA-1 Introduction

14:38

Latent Class Analysis - 2 (Discussion of paper)

18:13

Latent Class Analysis -1

09:23

Latent Profile Analysis- 2 (Discussion on papers)

23:09

Latent Profile Analysis -1

10:04

Checking Heterogeneity

06:39

SmartPLS v4 (13) Model Comparison in SmartPLS

14:34

Fuzzy AHP

03:48

Introduction to VIKOR

08:27

Introduction to TOPSIS

04:26

AHP in R Studio (data from Multiple Experts)

18:46

Introduction to DeMaTEL

05:31

AHP in R Studio

21:39

TidyText-10 Predictive Analysis using sLDA function (Part-2)

21:48

TidyText-9 Predictive Analysis using sLDA function (Part-1)

06:48

TidyText-8 Predictive Analysis using Sentiment score

07:43

R-Studio Part-48 Split data for training and testing

18:27

Quanteda-10 Topic Modeling using stm package

17:59

TidyText-7 Analysis of Topic Modeling (Beta, Gamma, KWIC and Network plot)

15:48

TidyText-6 Working on Topic Modeling (Perplexity score method)

16:15

TidyText-5 Working on Topic Modeling

10:04

TidyText-4 Introduction to Topic Modeling

10:06

TidyText-3 Word Association

11:27

TidyText-2 Import, Clean, Count and Visualization