Psychometrics I SPSS I AMOS Course
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Psychometrics I SPSS I AMOS Course
Psychometrics I SPSS I AMOS Course
Section 1 : Introduction
Lecture 1
Introduction
0:14
Lecture 2
INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Pdf
Section 2 : Downloading and Installing Required Softwares
Lecture 3
Downloading and Installing SPSS
9:52
Lecture 4
Downloading and Installing AMOS 24 (Free 14 Day Trial Version)
4:12
Section 3 : Useful References
Lecture 5
Articles
Text
Section 4 : Practice Datasets and Files Used in this Course
Lecture 6
Dataset used in Factor Analysis Personality
Text
Lecture 7
Dropbox Link for All Resources Used
Text
Section 5 : Establishing Reliability of a TestScale
Lecture 8
INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Pdf
Lecture 9
What is Reliability
3:16
Lecture 10
Reflective vs
5:19
Lecture 11
Should We Report Cronbach's Alpha or Composite Reliability
1:35
Lecture 12
Type of Reliability Test-Retest Reliability
1:53
Lecture 13
Type of Reliability Parallel Form
1:49
Lecture 14
Type of Reliability Internal Consistency Reliability
3:24
Lecture 15
Understanding Cronbach's Alpha
1:37
Section 6 : Improving Scale Reliability
Lecture 16
Assumptions of Cronbach's Alpha
8:50
Lecture 17
Formula of Cronbach's Alpha
2:17
Lecture 18
Range of Cronbach's Alpha
4:31
Lecture 19
Calculating Reliability Understanding Scale if an Item is Deleted Option
2:39
Lecture 20
Interpreting Case Processing Summary & Alpha Coefficient
0:46
Lecture 21
Improving Reliability of a Scale Diagnosing Missing Values
6:7
Lecture 22
Improving Reliability Diagnosing Scale Mean and Variances
2:31
Lecture 23
Improving Reliability Diagnosing Item-Total Correlations
4:42
Lecture 24
mp4
7:49
Lecture 25
Item Discrimination Index
3:48
Section 7 : Analysing Dimensionality and Factor Structure of Scale
Lecture 26
What is Factor Analysis
2:10
Lecture 27
Understanding Latent Variables and Indicators in FA
1:1
Lecture 28
Sample Researches Using FA in Social Science & Engineering
5:54
Lecture 29
Historical Origin of FA & Its Application in Test Construction
Preview
Lecture 30
Exploratory Factor Analysis vs
5:16
Lecture 31
Setting Data for Factor Analysis
2:33
Lecture 32
Understanding Selection Variable
2:50
Lecture 33
Univariate Descriptives & Initial Solutions Descriptive
1:19
Lecture 34
Correlation Matrix Coefficients, Significance, Determinant, KMO & Bartlett's
4:31
Lecture 35
Understanding Inverse, Reproduced, Anti-Image
3:56
Lecture 36
Extraction Method Principle Component Analysis
2:54
Lecture 37
Extraction Method Principle Axis Factoring
1:40
Lecture 38
Extraction Method Maximum Likelihood Estimation
0:47
Lecture 39
Choosing Correlation vs
8:13
Lecture 40
Interpreting Correlation Matrix & Unrotated Factor Solution
5:51
Lecture 41
Determining number of factors Scree Plot vs
7:29
Lecture 42
Factor Rotation What it is and why its done
6:26
Lecture 43
Rotation Methods Varimax, Quartimax, Equamax, Direct Oblimin, Promax
8:3
Lecture 44
Calculating Factor Scores Regression, Bartlett, Anderson-Rubin
3:46
Lecture 45
Factor Score Coefficient Matrix
1:39
Lecture 46
Missing Value Analysis Listwise, Pairwise, Replace with Mean
2:48
Lecture 47
Sort by Size & Suppressing Smaller Coefficients
6:15
Lecture 48
Project in Factor Analysis Part 1 Identifying Dimensions of Personality
14:21
Lecture 49
Project in Factor Analysis Part 2 Identifying Dimensions of Personality
15:32
Lecture 50
Project in Factor Analysis Part 3 Identifying Dimensions of Personality
5:31
Lecture 51
Project in Factor Analysis Part 4 Factor Naming
13:28
Lecture 52
Project in Factor Analysis Part 5 Reliability Analysis of Factors
22:29
Lecture 53
Project in Factor Analysis Part 6 Presenting Results in APA Style
8:52
Section 8 : Scale Validation using SPSS AMOS
Lecture 54
Importing EFA model in AMOS
3:52
Lecture 55
Reliability and Validity Two Sides of Model Quality
0:22
Lecture 56
Understanding Reliability and Validity
2:13
Lecture 57
What is Validity
2:8
Lecture 58
Type of Construct Validity Convergent Validity
2:31
Lecture 59
What is Average Variance Extracted (AVE) & Why AVE More than
4:35
Lecture 60
Understanding Formula for AVE Calculation
3:20
Lecture 61
Manual Calculation of AVE using Excel
Preview
Lecture 62
What is Maximum Shared squared Variance (MSV)
2:9
Lecture 63
Why MSV Should be Less Than AVE for Discriminant Validity
1:26
Lecture 64
Manual Calculation of MSV
3:7
Lecture 65
What is Average Shared squared Variance (ASV)
1:17
Lecture 66
Why ASV should be less than AVE for Discriminant Validity
1:12
Lecture 67
Manual Calculation of ASV
Preview
Section 9 : Fitting the Structural Model of Scale
Lecture 68
What are Indices of Model-Fit
3:22
Lecture 69
Type of Fit Indices Incremental and Absolute Fit Indices
5:6
Lecture 70
What are Incremental Fit Indices
1:56
Lecture 71
What are Absolute Fit Indices
0:52
Lecture 72
Which Indices Should I Report in Output or My Report
3:40
Lecture 73
How to Calculate Indices of Model Fit in AMOS
1:35
Lecture 74
Explaining CMIN (with Detailed Explanation of Variance-Covariance Matrix)
6:58
Lecture 75
Symbolic Expression of Null Hypothesis of Goodness of Fit Test
Preview
Lecture 76
Problem with Chi-Square Test & Why We Need Relative Chi-Square
2:33
Lecture 77
Relative Chi-Square
2:18
Lecture 78
Goodness of Fit Index (GFI) & Adjusted Goodnes of Fit Index (AGFI)
1:55
Lecture 79
Parsimony based Goodness of Fit Index (PGFI)
1:23
Lecture 80
SRMR Conceptual Explanation
1:34
Lecture 81
SRMR Calculation
1:36
Lecture 82
RMSEA Conceptual Explanation
1:44
Lecture 83
RMSEA Calculation
1:5
Section 10 : Working with AMOS Plugins Extra Section
Lecture 84
What are Plugins
1:7
Lecture 85
Location of plugins in AMOS 23 and Lower Versions
1:32
Lecture 86
Location of Plugins in AMOS 24
2:59
Lecture 87
Downloading AMOS Plugins from Statswiki Website (Prof
Preview
Lecture 88
Installing Four Plugins by Prof
3:55
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Lectures
88
Video
5:40:14 Hours
Skill level
intermdiate
level
Languages
English
Includes
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