Psychometrics using SPSS and AMOS

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: How to get answer to your queries fast ?

Chapter 2: Downloading and Installing Required Softwares

Lecture 1: Downloading and Installing SPSS

Lecture 2: Downloading and Installing AMOS 24 (Free 14 Day Trial Version)

Chapter 3: Useful References

Lecture 1: Articles

Chapter 4: Practice Datasets and Files Used in this Course

Lecture 1: Dataset used in Factor Analysis: Personality.sav

Lecture 2: Dropbox Link for All Resources Used

Chapter 5: Establishing Reliability of a Test/Scale

Lecture 1: Introduction to Reliability Analysis

Lecture 2: What is Reliability?

Lecture 3: Reflective vs. Formative Models of Scale

Lecture 4: Should We Report Cronbach's Alpha or Composite Reliability?

Lecture 5: Type of Reliability: Test-Retest Reliability

Lecture 6: Type of Reliability: Parallel Form

Lecture 7: Type of Reliability: Internal Consistency Reliability

Lecture 8: Understanding Cronbach's Alpha

Chapter 6: Improving Scale Reliability

Lecture 1: Assumptions of Cronbach's Alpha

Lecture 2: Formula of Cronbach's Alpha

Lecture 3: Range of Cronbach's Alpha

Lecture 4: Calculating Reliability: Understanding Scale if an Item is Deleted Option

Lecture 5: Interpreting Case Processing Summary & Alpha Coefficient

Lecture 6: Improving Reliability of a Scale: Diagnosing Missing Values

Lecture 7: Improving Reliability: Diagnosing Scale Mean and Variances

Lecture 8: Improving Reliability: Diagnosing Item-Total Correlations

Lecture 9: Improving Reliability: Removing Ambiguous and Redundant Items

Lecture 10: Item Discrimination Index

Chapter 7: Analysing Dimensionality and Factor Structure of Scale

Lecture 1: What is Factor Analysis?

Lecture 2: Understanding Latent Variables and Indicators in FA

Lecture 3: Sample Researches Using FA in Social Science & Engineering

Lecture 4: Historical Origin of FA & Its Application in Test Construction

Lecture 5: Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

Lecture 6: Setting Data for Factor Analysis

Lecture 7: Understanding "Selection Variable"

Lecture 8: Univariate Descriptives & Initial Solutions: Descriptive

Lecture 9: Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

Lecture 10: Understanding Inverse, Reproduced, Anti-Image

Lecture 11: Extraction Method: Principle Component Analysis

Lecture 12: Extraction Method: Principle Axis Factoring

Lecture 13: Extraction Method: Maximum Likelihood Estimation

Lecture 14: Choosing Correlation vs. Covariance Matrix for Factor Analysis

Lecture 15: Interpreting Correlation Matrix & Unrotated Factor Solution

Lecture 16: Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

Lecture 17: Factor Rotation: What it is and why its done?

Lecture 18: Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

Lecture 19: Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

Lecture 20: Factor Score Coefficient Matrix

Lecture 21: Missing Value Analysis: Listwise, Pairwise, Replace with Mean

Lecture 22: Sort by Size & Suppressing Smaller Coefficients

Lecture 23: Project in Factor Analysis Part 1: Identifying Dimensions of Personality

Lecture 24: Project in Factor Analysis Part 2: Identifying Dimensions of Personality

Lecture 25: Project in Factor Analysis Part 3: Identifying Dimensions of Personality

Lecture 26: Project in Factor Analysis Part 4: Factor Naming

Lecture 27: Project in Factor Analysis Part 5: Reliability Analysis of Factors

Lecture 28: Project in Factor Analysis Part 6: Presenting Results in APA Style

Chapter 8: Scale Validation using SPSS AMOS

Lecture 1: Importing EFA model in AMOS

Lecture 2: Reliability and Validity: Two Sides of Model Quality

Lecture 3: Understanding Reliability and Validity

Lecture 4: What is Validity?

Lecture 5: Type of Construct Validity: Convergent Validity

Lecture 6: What is Average Variance Extracted (AVE) & Why AVE More than .5 is Required?

Lecture 7: Understanding Formula for AVE Calculation

Lecture 8: Manual Calculation of AVE using Excel

Lecture 9: What is Maximum Shared squared Variance (MSV)?

Lecture 10: Why MSV Should be Less Than AVE for Discriminant Validity?

Lecture 11: Manual Calculation of MSV?

Lecture 12: What is Average Shared squared Variance (ASV)?

Lecture 13: Why ASV should be less than AVE for Discriminant Validity?

Lecture 14: Manual Calculation of ASV?

Chapter 9: Fitting the Structural Model of Scale

Lecture 1: What are Indices of Model-Fit?

Lecture 2: Type of Fit Indices: Incremental and Absolute Fit Indices

Lecture 3: What are Incremental Fit Indices?

Lecture 4: What are Absolute Fit Indices?

Lecture 5: Which Indices Should I Report in Output or My Report?

Lecture 6: How to Calculate Indices of Model Fit in AMOS?

Lecture 7: Explaining CMIN (with Detailed Explanation of Variance-Covariance Matrix)

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?

Lecture 10: Relative Chi-Square?

Lecture 11: Goodness of Fit Index (GFI) & Adjusted Goodnes of Fit Index (AGFI)

Lecture 12: Parsimony based Goodness of Fit Index (PGFI)

Lecture 13: SRMR: Conceptual Explanation

Lecture 14: SRMR: Calculation

Lecture 15: RMSEA: Conceptual Explanation

Lecture 16: RMSEA: Calculation

Chapter 10: Working with AMOS Plugins: Extra Section

Lecture 1: What are Plugins?

Lecture 2: Location of plugins in AMOS 23 and Lower Versions

Lecture 3: Location of Plugins in AMOS 24

Lecture 4: Downloading AMOS Plugins from Statswiki Website (Prof. James Gaskin)

Lecture 5: Installing Four Plugins by Prof. Gaskin in AMOS 23

Chapter 11: Next Step

Lecture 1: Bonus Lecture