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IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced

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IBM SPSS AMOS Foundation Course: SEM Scratch to Advanced

Learn Structural Equation Modelling, Path Analysis and Confirmatory Analysis using IBM SPSS AMOS from Scratch

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4513 enrolled on this course

Last updated 11/2021

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₹ 2299.0

₹ 3799.0

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Lessons

Quizzes

Duration

13 Hours

Skill level

Beginner

Language

English

Certificate

Yes

Full lifetime access

Yes

Description

If you are looking to test a complex structural model then you already know the importance of AMOS. Its a powerful and one of the most popular tool for doing Structural Equation Modelling.

If you are a researcher then your knowledge of research will not be complete unless you mastered the SEM as vast majority of researches are increasingly using SEM. You can refer to my research papers that I have published using SEM:

Sanjay Singh & Yogita Aggarwal (2017). Happiness at Work Scale: Construction and psychometric validation of a measure using mixed method approach.
Journal of Happiness Studies
. doi:10.1007/s10902-017-9882-x. Springer
Sanjay Singh & Yogita Aggarwal (2017). Antecedents and consequences of work significance in Indian organizations.
Journal Management, Spirituality and Religion
. doi: 10.1080/14766086.2017.1320580. Taylor & Francis

In this course you will learn how to do SEM from scratch using AMOS. AMOS is a powerful tool for confirmatory validation and often used by researchers and psychometricians for research and high impact publishing. It enables you to specify, estimate, assess and present models to show hypothesized relationships among variables. The AMOS software lets you build and test complex models more accurately and efficiently than standard multivariate statistics techniques.

I am sure you will absolutely love this course. If not you can take your full refund within 30 days!! No questions asked!!

I am very responsive to questions and in case you need any clarification I am just a message away.

Some reviews from my SPSS Foundation course:

"Really Excellent in Explaining the topics each and every point step by step and I like his way of teaching approach.. I feel , it's very easy to understand the SPSS Tool in this way.. Thank You so much Dr. Sanjay Singh "
"Very well organized and easy to understand"
"its a must have course on SPSS. Excellent job by instructors! Trainer is very helpful n units are very well organized. Looking for more and more stuff from the trainer."

Sign up and Start learning AMOS the right way!!

Who this course is for:
Researchers and PhD students
Anyone looking to master SEM using AMOS
Data Analysts
Psychometricians
Professors
Research Methodologists
Social Scientists

What you'll learn

do confirmatory analysis using AMOS

establish reliability and validity of a scale using AMOS

do Structural Equation Modelling using AMOS

analyse complex path models and derive insight from multivariate data

Requirements

You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
No previous design experience is needed.
No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures

Expand All Sections

1-Introduction & Installation of Software

1.1-Introduction

1.2-Downloading and Installing AMOS 24 (Free 14 Day Trial Version)

1.3-How to get answer to your queries fast?

2-Practice Datasets, References and Resources

2.1-Well-being Dataset

2.2-Guide for downloading well-being data

2.3-Personality Data set

2.4-Link to Dropbox Folder Containing All Practice Datasets and Resources

2.5-References for Further Study

3-Getting Familiar with AMOS Interface

3.1-Opening AMOS

3.2-Developing Familiarity with Top Menus

3.3-Getting Familiar with AMOS Graphics Tools

3.4-Understanding Input and Output Values on Path Diagram

3.5-Understanding "Group Number" Box

3.6-Understanding "Default Model" Box

3.7-Understanding Unstandardized and Standardized Estimates

3.8-Understanding "Computation Summary" and "Files in Current Directory" Boxes

3.9-Understanding "Path Model Canvas" and "Output" Tab

3.10-Understanding Bottom Tabs: "Path Diagram" & "Tables"

4-Meanings & Definitions: Getting Familiar with Terminology of SEM

4.1-Getting familiar with Terminology Used for Variables in Model

4.2-What is Structural Equation Modelling (SEM)?

4.3-What is an Exogeneous Variable?

4.4-What are Observed and Unobserved Variables?

4.5-What are Residual Variables?

4.6-An Example: A structural Model of Managerial Innovation Process

4.7-What is Meaning of "Factor Loading"?

5-Using AMOS Graphic Tools to Build a Structural Model

5.1-Drawing and Naming Observed Variables

5.2-Drawing Observed Variables and Error Terms

5.3-Using Drag and Touch-up Tools

5.4-Understanding Constrained Values on Error Terms

5.5-Using "Draw Paths" Tool

5.6-"Draw a Latent Variable" Tool

5.7-Using "Rotate" Tool

5.8-Using "Erase Object" Tool

5.9-Using Three Types of "Select Object" Tool

6-Understanding "Analyse Properties" Tab in AMOS

6.1-What is meaning of Good Model Fit?

6.2-Meaning of Indicator & Factor Variances and Co-variances

6.3-When to Use Maximum Likelihood (ML) Method?

6.4-When to Use Asymptotic Distribution Free (ADF) Method?

6.5-What is Maximum Likelihood Method?

6.6-Assumptions of Maximum Likelihood Method?

6.7-Other Model Discrepancy Calculation Methods: GLS, ULS, SLS & ADF

6.8-"Estimate Means and Intercepts": Dealing with Missing Data

6.9-Understanding "Emulisrel 6" Option

6.10-Understanding "Chicorrect" and Leaarning to Constrain Values

6.11-Understanding "Fit Saturated and Independence Models" Option

7-Issues in Structural Equation Modelling (SEM) Using AMOS

7.1-How Large Should be Sample Size in SEM?

7.2-Can I Use AMOS if My Data is Non-Normal?

7.3-Can I use AMOS if My Variables are Non-continuous?

7.4-Regression Vs. SEM & Adding More Variables to Model

8-Exploratory Factor Analysis (EFA): A Precursor to CFA using AMOS

8.1-What is Exploratory Factor Analysis (EFA)?

8.2-Understanding Latent Variables and Indicators in FA

8.3-Sample Researches Using FA in Social Science & Engineering

8.4-Historical Origin of FA & Its Application in Test Construction

8.5-Exploratory Factor Analysis vs. Confirmatory Factor Analysis (EFA vs. CFA)

8.6-Setting Data for Factor Analysis

8.7-Understanding "Selection Variable"

8.8-Univariate Descriptives & Initial Solutions: Descriptive

8.9-Correlation Matrix: Coefficients, Significance, Determinant, KMO & Bartlett's

8.10-Understanding Inverse, Reproduced, Anti-Image

8.11-Extraction Method: Principle Component Analysis

8.12-Extraction Method: Principle Axis Factoring

8.13-Extraction Method: Maximum Likelihood Estimation

8.14-Choosing Correlation vs. Covariance Matrix for Factor Analysis

8.15-Interpreting Correlation Matrix & Unrotated Factor Solution

8.16-Determining number of factors: Scree Plot vs. Kaiser's eigen value criteria

8.17-Factor Rotation: What it is and why its done?

8.18-Rotation Methods: Varimax, Quartimax, Equamax, Direct Oblimin, Promax

8.19-Calculating Factor Scores: Regression, Bartlett, Anderson-Rubin

8.20-Factor Score Coefficient Matrix

8.21-Missing Value Analysis: Listwise, Pairwise, Replace with Mean

8.22-Sort by Size & Suppressing Smaller Coefficients

8.23-Project in Factor Analysis Part 1: Identifying Dimensions of Personality

8.24-Project in Factor Analysis Part 2: Identifying Dimensions of Personality

8.25-Project in Factor Analysis Part 3: Identifying Dimensions of Personality

8.26-Project in Factor Analysis Part 4: Factor Naming

8.27-Project in Factor Analysis Part 5: Reliability Analysis of Factors

8.28-Project in Factor Analysis Part 6: Presenting Results in APA Style

9-Scale Validation in AMOS

9.1-Importing EFA model in AMOS

9.2-Reliability and Validity: Two Sides of Model Quality

9.3-Understanding Reliability and Validity

9.4-What is Validity?

9.5-Type of Construct Validity: Convergent Validity

9.6-Statistical Criteria for Convergent Validity in AMOS

9.7-What is Average Variance Extracted (AVE) & Why AVE More than .5 is Required?

9.8-Understanding Formula for AVE Calculation

9.9-Manual Calculation of AVE using Excel

9.10-What is Maximum Shared squared Variance (MSV)?

9.11-Why MSV Should be Less Than AVE for Discriminant Validity?

9.12-Manual Calculation of MSV?

9.13-What is Average Shared squared Variance (ASV)?

9.14-Why ASV should be less than AVE for Discriminant Validity?

9.15-Manual Calculation of ASV?

10-Indices of Model Fit

10.1-What are Indices of Model-Fit?

10.2-Type of Fit Indices: Incremental and Absolute Fit Indices

10.3-What are Incremental Fit Indices?

10.4-What are Absolute Fit Indices?

10.5-Which Indices Should I Report in Output or My Article?

10.6-How to Calculate Indices of Model Fit in AMOS?

10.7-Explaining CMIN (with Detailed Explanation of Variance-Covariance Matrix)

10.8-Symbolic Expression of Null Hypothesis of Goodness of Fit Test

10.9-Problem with Chi-Square Test & Why We Need Relative Chi-Square?

10.10-Relative Chi-Square?

10.11-Goodness of Fit Index (GFI) & Adjusted Goodnes of Fit Index (AGFI)

10.12-Parsimony based Goodness of Fit Index (PGFI)

10.13-SRMR: Conceptual Explanation

10.14-SRMR: Calculation

10.15-RMSEA: Conceptual Explanation

10.16-RMSEA: Calculation

11-Working with Plugins in AMOS

11.1-What are Plugins?

11.2-Location of plugins in AMOS 23 and Lower Versions

11.3-Location of Plugins in AMOS 24

11.4-Downloading AMOS Plugins from Statswiki Website (Prof. James Gaskin)

11.5-Installing Four Plugins by Prof. Gaskin in AMOS 23

12-Next Step

12.1-Bonus Lecture

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