Section 1 : Introduction
Lecture 1 Introduction 00:00:14 Duration
Lecture 2 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM

Section 2 : Downloading and Installing Required Softwares
Lecture 1 Downloading and Installing SPSS 00:09:52 Duration
Lecture 2 Downloading and Installing AMOS 24 (Free 14 Day Trial Version) 00:04:12 Duration

Section 3 : Useful References
Lecture 1 Articles

Section 4 : Practice Datasets and Files Used in this Course
Lecture 1 Dataset used in Factor Analysis Personality
Lecture 2 Dropbox Link for All Resources Used

Section 5 : Establishing Reliability of a TestScale
Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 What is Reliability 00:03:16 Duration
Lecture 3 Reflective vs 00:05:19 Duration
Lecture 4 Should We Report Cronbach's Alpha or Composite Reliability 00:01:35 Duration
Lecture 5 Type of Reliability Test-Retest Reliability 00:01:53 Duration
Lecture 6 Type of Reliability Parallel Form 00:01:49 Duration
Lecture 7 Type of Reliability Internal Consistency Reliability 00:03:24 Duration
Lecture 8 Understanding Cronbach's Alpha 00:01:37 Duration

Section 6 : Improving Scale Reliability
Lecture 1 Assumptions of Cronbach's Alpha 00:08:50 Duration
Lecture 2 Formula of Cronbach's Alpha 00:02:17 Duration
Lecture 3 Range of Cronbach's Alpha 00:04:31 Duration
Lecture 4 Calculating Reliability Understanding Scale if an Item is Deleted Option 00:02:39 Duration
Lecture 5 Interpreting Case Processing Summary & Alpha Coefficient 00:00:46 Duration
Lecture 6 Improving Reliability of a Scale Diagnosing Missing Values 00:06:07 Duration
Lecture 7 Improving Reliability Diagnosing Scale Mean and Variances 00:02:31 Duration
Lecture 8 Improving Reliability Diagnosing Item-Total Correlations 00:04:42 Duration
Lecture 9 mp4 00:07:49 Duration
Lecture 10 Item Discrimination Index 00:03:48 Duration

Section 7 : Analysing Dimensionality and Factor Structure of Scale
Lecture 1 What is Factor Analysis 00:02:10 Duration
Lecture 2 Understanding Latent Variables and Indicators in FA 00:01:01 Duration
Lecture 3 Sample Researches Using FA in Social Science & Engineering 00:05:54 Duration
Lecture 4 Historical Origin of FA & Its Application in Test Construction
Lecture 5 Exploratory Factor Analysis vs 00:05:16 Duration
Lecture 6 Setting Data for Factor Analysis 00:02:33 Duration
Lecture 7 Understanding Selection Variable 00:02:50 Duration
Lecture 8 Univariate Descriptives & Initial Solutions Descriptive 00:01:19 Duration
Lecture 9 Correlation Matrix Coefficients, Significance, Determinant, KMO & Bartlett's 00:04:31 Duration
Lecture 10 Understanding Inverse, Reproduced, Anti-Image 00:03:56 Duration
Lecture 11 Extraction Method Principle Component Analysis 00:02:54 Duration
Lecture 12 Extraction Method Principle Axis Factoring 00:01:40 Duration
Lecture 13 Extraction Method Maximum Likelihood Estimation 00:00:47 Duration
Lecture 14 Choosing Correlation vs 00:08:13 Duration
Lecture 15 Interpreting Correlation Matrix & Unrotated Factor Solution 00:05:51 Duration
Lecture 16 Determining number of factors Scree Plot vs 00:07:29 Duration
Lecture 17 Factor Rotation What it is and why its done 00:06:26 Duration
Lecture 18 Rotation Methods Varimax, Quartimax, Equamax, Direct Oblimin, Promax 00:08:03 Duration
Lecture 19 Calculating Factor Scores Regression, Bartlett, Anderson-Rubin 00:03:46 Duration
Lecture 20 Factor Score Coefficient Matrix 00:01:39 Duration
Lecture 21 Missing Value Analysis Listwise, Pairwise, Replace with Mean 00:02:48 Duration
Lecture 22 Sort by Size & Suppressing Smaller Coefficients 00:06:15 Duration
Lecture 23 Project in Factor Analysis Part 1 Identifying Dimensions of Personality 00:14:21 Duration
Lecture 24 Project in Factor Analysis Part 2 Identifying Dimensions of Personality 00:15:32 Duration
Lecture 25 Project in Factor Analysis Part 3 Identifying Dimensions of Personality 00:05:31 Duration
Lecture 26 Project in Factor Analysis Part 4 Factor Naming 00:13:28 Duration
Lecture 27 Project in Factor Analysis Part 5 Reliability Analysis of Factors 00:22:29 Duration
Lecture 28 Project in Factor Analysis Part 6 Presenting Results in APA Style 00:08:52 Duration

Section 8 : Scale Validation using SPSS AMOS
Lecture 1 Importing EFA model in AMOS 00:03:52 Duration
Lecture 2 Reliability and Validity Two Sides of Model Quality 00:00:22 Duration
Lecture 3 Understanding Reliability and Validity 00:02:13 Duration
Lecture 4 What is Validity 00:02:08 Duration
Lecture 5 Type of Construct Validity Convergent Validity 00:02:31 Duration
Lecture 6 What is Average Variance Extracted (AVE) & Why AVE More than 00:04:35 Duration
Lecture 7 Understanding Formula for AVE Calculation 00:03:20 Duration
Lecture 8 Manual Calculation of AVE using Excel
Lecture 9 What is Maximum Shared squared Variance (MSV) 00:02:09 Duration
Lecture 10 Why MSV Should be Less Than AVE for Discriminant Validity 00:01:26 Duration
Lecture 11 Manual Calculation of MSV 00:03:07 Duration
Lecture 12 What is Average Shared squared Variance (ASV) 00:01:17 Duration
Lecture 13 Why ASV should be less than AVE for Discriminant Validity 00:01:12 Duration
Lecture 14 Manual Calculation of ASV

Section 9 : Fitting the Structural Model of Scale
Lecture 1 What are Indices of Model-Fit 00:03:22 Duration
Lecture 2 Type of Fit Indices Incremental and Absolute Fit Indices 00:05:06 Duration
Lecture 3 What are Incremental Fit Indices 00:01:56 Duration
Lecture 4 What are Absolute Fit Indices 00:00:52 Duration
Lecture 5 Which Indices Should I Report in Output or My Report 00:03:40 Duration
Lecture 6 How to Calculate Indices of Model Fit in AMOS 00:01:35 Duration
Lecture 7 Explaining CMIN (with Detailed Explanation of Variance-Covariance Matrix) 00:06:58 Duration
Lecture 8 Symbolic Expression of Null Hypothesis of Goodness of Fit Test
Lecture 9 Problem with Chi-Square Test & Why We Need Relative Chi-Square 00:02:33 Duration
Lecture 10 Relative Chi-Square 00:02:18 Duration
Lecture 11 Goodness of Fit Index (GFI) & Adjusted Goodnes of Fit Index (AGFI) 00:01:55 Duration
Lecture 12 Parsimony based Goodness of Fit Index (PGFI) 00:01:23 Duration
Lecture 13 SRMR Conceptual Explanation 00:01:34 Duration
Lecture 14 SRMR Calculation 00:01:36 Duration
Lecture 15 RMSEA Conceptual Explanation 00:01:44 Duration
Lecture 16 RMSEA Calculation 00:01:05 Duration

Section 10 : Working with AMOS Plugins Extra Section
Lecture 1 What are Plugins 00:01:07 Duration
Lecture 2 Location of plugins in AMOS 23 and Lower Versions 00:01:32 Duration
Lecture 3 Location of Plugins in AMOS 24 00:02:59 Duration
Lecture 4 Downloading AMOS Plugins from Statswiki Website (Prof
Lecture 5 Installing Four Plugins by Prof 00:03:55 Duration